WorldWideScience

Sample records for pipeline demand analysis

  1. Mackenzie Valley Pipeline market demand, supply, and infrastructure analysis : final report

    International Nuclear Information System (INIS)

    2004-01-01

    Mackenzie Valley Pipeline Co-Venturers is a consortium of petroleum companies proposing to construct a 1,400 km long, large-diameter, high-pressure natural gas transmission pipeline from the northwestern edge of the Northwest Territories to the Alberta-Northwest Territories border. The Mackenzie Valley Pipeline will bring natural gas from the Mackenzie Delta region to markets in Alberta, central and eastern Canada and the United States. Navigant Consulting Ltd. prepared this assessment of the long-term market need for natural gas produced from the Mackenzie Delta. It presents an analysis of gas demand, supply and infrastructure. Three sensitivity cases were examined, incorporating different assumptions about the initial capacity of the pipeline, potential expansion of its capacity and different levels of gas demand in Canada and the United States. The report indicates that gas markets in North America support construction of the proposed 34 million cubic metre per day pipeline in the 2009 timeframe, with possible expansion in 2015 and 2020. It also indicates that there will be enough capacity on the intra-Alberta gas transmission system to accommodate the projected deliveries of Mackenzie Delta gas. The increase in gas demand is due to an increase in residential and commercial gas consumption, electric power generation and the energy intensive bitumen extraction and processing activities in the Alberta oil sands industry. 36 tabs., 56 figs

  2. North American pipelines supply/demand update: challenges and opportunities

    International Nuclear Information System (INIS)

    Gopal, J.

    2002-01-01

    The author began the presentation by providing a little definition of forecasting supply, demand and price as applied to the natural gas industry, indicating that it is both science and art. An integrated grid in North America, the natural gas sector modeling relates to supply basins, demand centers and pipes includes the United States, Canada and Mexico. Some of the considerations are: huge demand from proposed power generation, conservation, and drilling impacts, as well as pipeline capacity. A chart displaying the North American model was explained. The author discussed the technically recoverable natural gas resources as well as the estimates in both Canada and the United States. The next section deals with exploration and development of frontier resources and power plant licensing, with emphasis on power plants in California. The generation assumptions for the Western Systems Coordinating Council from the Energy Commission are reviewed, placing the numbers in their proper perspective. California natural gas supply by source is examined, followed by regional natural gas spot price. The wellhead natural gas prices for North America and for the Lower 48 states are presented. The author indicates that additional pipeline capacity is required to meet the growing demand. Several factors have to be considered: the number of power plants, when and where; pipeline capacity (how much); regulations; slack capacity; cost of slack capacity, and supply. The concluding remarks touched upon the availability of gas resources, the environmental issues that affect demand, hub services that enhance service flexibility and reliability, and pipeline capacity and storage. 2 tabs., 15 figs

  3. United States petroleum pipelines: An empirical analysis of pipeline sizing

    Science.gov (United States)

    Coburn, L. L.

    1980-12-01

    The undersizing theory hypothesizes that integrated oil companies have a strong economic incentive to size the petroleum pipelines they own and ship over in a way that means that some of the demand must utilize higher cost alternatives. The DOJ theory posits that excess or monopoly profits are earned due to the natural monopoly characteristics of petroleum pipelines and the existence of market power in some pipelines at either the upstream or downstream market. The theory holds that independent petroleum pipelines owned by companies not otherwise affiliated with the petroleum industry (independent pipelines) do not have these incentives and all the efficiencies of pipeline transportation are passed to the ultimate consumer. Integrated oil companies on the other hand, keep these cost efficiencies for themselves in the form of excess profits.

  4. Engineered pipeline field joint coating solutions for demanding conditions

    Energy Technology Data Exchange (ETDEWEB)

    Lwemuchi, Andre L.; Gudme, Carl C.; Buchanan, Robert [Canusa-CPS, Toronto, OT (Canada)

    2009-12-19

    Trends in the oil and gas pipeline industry see that the demand for new technologies and engineered solutions for pipeline external coatings are increasing. In general, superior mechanical resistance and long term performance are being required in addition to operating at higher temperatures. This demand for more robust coatings has been created because of factors such as more remote fields, deep onshore reservoirs, deep water offshore fields and heavy oil that must be pumped at higher temperatures. The development of new techniques for pipeline construction is also exposing the coatings to more aggressive construction conditions. Because of this, the use of three layer and multi-layer polypropylene mainline coating systems have been growing considerably. Following this trend, the field joint coating manufacturers developed polypropylene systems and more recently had to work on engineered solutions required for recent offshore projects in Europe where very thick polypropylene field joint heat-shrinkable systems were provided. In addition, projects in remote locations such as the recently completed projects in the Brazilian Amazon required special logistics and field services. The growth of the mining industry in South America with slurry pipelines constructed in the recent years also demanded thicker, more robust coatings. The popularization of directional drilling and shore approach applications moved the industry to develop improved abrasion resistant coating systems such as using sacrificial elements to protect the primary coating integrity after the pipeline pull. PETROBRAS plans to replace existing thermally insulated pipelines crossing Great Sao Paulo. Therefore, pumping heavy oil at high temperatures created the need to develop improved mainline and field joint coatings to avoid having the same sort of problems they are facing in existing thermally insulated lines. Due to these needs, the field joint coating manufactures have been challenged to provide

  5. U.S. natural gas pipeline flow and demand trends

    International Nuclear Information System (INIS)

    Carson, M.M.

    1992-01-01

    It is no surprise that regional natural gas supply and demand patterns in North America are constantly changing. A consensus of forecasters agree that the natural gas resource base is larger than envisaged in the early 1980s due to advances in exploration and production technology. In addition, on the demand side more gas will be burned by US power generators to meet growth in electricity. Gas consumption is up in the commercial sector, and natural gas is correctly seen as environmentally protective. But how much more natural gas does the US need? This paper reports that new pipeline projects are springing up all over the nation --- 43 to be exact, with most of them connecting gas deliverability out of basins west of the Mississippi to new markets along the Atlantic and Pacific coasts

  6. Elasticplastic dynamic analysis of pipelines

    International Nuclear Information System (INIS)

    Veloso Filho, D.; Loula, A.F.D.; Guerreiro, J.N.C.

    1982-01-01

    A model for structural analysis of spatial pipelines constituted by material with perfect elastoplastic behavior and submmited to time dependence stress is presented. The spatial discretization is done using the Finite Element method, and for the time integration of movement equations an stable finite difference algorithm is used. (E.G.) [pt

  7. Analysis of buried pipelines at Kozloduy

    International Nuclear Information System (INIS)

    Asfura, A.

    1999-01-01

    This paper describes the analysis of the buried pipelines at Kozloduy NPP. It involves the description of the studied pipelines, their properties, a detailed description of the methodology applied, and the evaluation of the soil strain field as well as the graphical representation of the results obtained

  8. Meeting the demands and challenges of a new era in pipeline development

    International Nuclear Information System (INIS)

    Morgan, K.

    2002-01-01

    The author demonstrates in this presentation that supply and demand imbalances result in energy shortages and extreme price volatility. This situation exists in spite of a dysfunctional market structure and allegations of market power abuse. Economic recovery is dependent on energy reliability and stable pricing. Investments in the infrastructure are required at all levels of the industry. The plans to better serve customers at Williams Gas Pipeline-West are described, including an investment of more than 2 billion dollars in natural gas pipeline in the West in 2004. The expansion projects on the Kern River are reviewed and put in perspective with regard to California emergency expansion. The current gas supply update is provided, as was the regional market outlook. The other pipeline proposals to serve California are discussed, in particular the Kern River 2003 expansion is deemed an essential infrastructure project to assist in the prevention of a return to energy shortages and extreme price volatility in California. The new pipeline capacity is fully supported by market demand. To supply the east of California and Mexican markets, a diversion of the gas supply from the Southwest will take place. It is doubtful that timely completion of other natural gas pipeline projects will occur. The author indicates that smaller incremental expansions of existing pipelines will serve market growth. figs

  9. Prospects of natural gas demand and pipeline projects in the East Asia

    International Nuclear Information System (INIS)

    Ishii, A.

    1997-01-01

    The development of the natural gas industry in East Asia was discussed. It was predicted that by 2010, the demand for natural gas could potentially reach 80 billion cubic feet per day. This represents an 8 per cent per year growth rate from a 1995 baseline. Similarly, it was predicted that by 2010, the region's natural gas supply could potentially reach 65 billion cubic feet per day which would represent 2.5 times the supply of natural gas in 1995. The additional demand will most likely be supplied from the Middle East in the form of liquefied natural gas (LNG), from Eastern Russia through pipelines of LNG, or from North America in the form of LNG. Some gas may also be supplied from Central Asia through pipelines. The price and cost of natural gas are major uncertainties in the future of the East Asian gas demand. Pipeline projects from Russia to China were discussed. Japan and Korea are also interested in collaborating on the feasibility study with Russia and China on a 3,400 km pipeline of 60 inch diameter from the Koviktinskoye gas field through Mongolia to Beijing, Tianjin and Korea, transporting 20 to 30 billion cubic metres of gas annually. A natural gas pipeline project transporting gas from the southern edge of the Sakhalin Island to the Tokyo area was also discussed. The project would involve construction of a 2,200 km 40-48 inch pipeline, much of it undersea, transporting 6 to 12 million tonnes of liquid natural gas, annually

  10. Corrosion induced failure analysis of subsea pipelines

    International Nuclear Information System (INIS)

    Yang, Yongsheng; Khan, Faisal; Thodi, Premkumar; Abbassi, Rouzbeh

    2017-01-01

    Pipeline corrosion is one of the main causes of subsea pipeline failure. It is necessary to monitor and analyze pipeline condition to effectively predict likely failure. This paper presents an approach to analyze the observed abnormal events to assess the condition of subsea pipelines. First, it focuses on establishing a systematic corrosion failure model by Bow-Tie (BT) analysis, and subsequently the BT model is mapped into a Bayesian Network (BN) model. The BN model facilitates the modelling of interdependency of identified corrosion causes, as well as the updating of failure probabilities depending on the arrival of new information. Furthermore, an Object-Oriented Bayesian Network (OOBN) has been developed to better structure the network and to provide an efficient updating algorithm. Based on this OOBN model, probability updating and probability adaptation are performed at regular intervals to estimate the failure probabilities due to corrosion and potential consequences. This results in an interval-based condition assessment of subsea pipeline subjected to corrosion. The estimated failure probabilities would help prioritize action to prevent and control failures. Practical application of the developed model is demonstrated using a case study. - Highlights: • A Bow-Tie (BT) based corrosion failure model linking causation with the potential losses. • A novel Object-Oriented Bayesian Network (OOBN) based corrosion failure risk model. • Probability of failure updating and adaptation with respect to time using OOBN model. • Application of the proposed model to develop and test strategies to minimize failure risk.

  11. Intercity Travel Demand Analysis Model

    OpenAIRE

    Ming Lu; Hai Zhu; Xia Luo; Lei Lei

    2014-01-01

    It is well known that intercity travel is an important component of travel demand which belongs to short distance corridor travel. The conventional four-step method is no longer suitable for short distance corridor travel demand analysis for the time spent on urban traffic has a great impact on traveler's main mode choice. To solve this problem, the author studied the existing intercity travel demand analysis model, then improved it based on the study, and finally established a combined model...

  12. Structural reliability analysis applied to pipeline risk analysis

    Energy Technology Data Exchange (ETDEWEB)

    Gardiner, M. [GL Industrial Services, Loughborough (United Kingdom); Mendes, Renato F.; Donato, Guilherme V.P. [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil)

    2009-07-01

    Quantitative Risk Assessment (QRA) of pipelines requires two main components to be provided. These are models of the consequences that follow from some loss of containment incident, and models for the likelihood of such incidents occurring. This paper describes how PETROBRAS have used Structural Reliability Analysis for the second of these, to provide pipeline- and location-specific predictions of failure frequency for a number of pipeline assets. This paper presents an approach to estimating failure rates for liquid and gas pipelines, using Structural Reliability Analysis (SRA) to analyze the credible basic mechanisms of failure such as corrosion and mechanical damage. SRA is a probabilistic limit state method: for a given failure mechanism it quantifies the uncertainty in parameters to mathematical models of the load-resistance state of a structure and then evaluates the probability of load exceeding resistance. SRA can be used to benefit the pipeline risk management process by optimizing in-line inspection schedules, and as part of the design process for new construction in pipeline rights of way that already contain multiple lines. A case study is presented to show how the SRA approach has recently been used on PETROBRAS pipelines and the benefits obtained from it. (author)

  13. U.S., Canadian pipelines producers lining up to meet Mexican gas demand growth

    International Nuclear Information System (INIS)

    Koen, A.D.

    1992-01-01

    This paper reports on prospects for continued strong growth in Mexican demand for natural gas imports that have U.S. and Canadian producers and pipelines queueing up to serve expected demand. In 1991, more than 25 U.S. companies exported a combined 61.7 bcf of gas into Mexico, an increase of more than 390% from 1990's total of 15.7 bcf. According to the Department of Energy Office of Fuels Programs (OFP), about 27.5 bcf of gas left the U.S. for Mexico in fourth quarter 1991 alone, an average 299 MMcfd. DOE has granted short term authorization to more than 65 countries to export gas into Mexico. Another 25 companies have short term export applications pending

  14. Quantitative risk analysis preoperational of gas pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Manfredi, Carlos; Bispo, Gustavo G.; Esteves, Alvaro [Gie S.A., Buenos Aires (Argentina)

    2009-07-01

    The purpose of this analysis is to predict how it can be affected the individual risk and the public's general security due to the operation of a gas pipeline. In case that the single or social risks are considered intolerable, compared with the international standards, to be recommended measures of mitigation of the risk associated to the operation until levels that can be considered compatible with the best practices in the industry. The quantitative risk analysis calculates the probability of occurrence of an event based on the frequency of occurrence of the same one and it requires a complex mathematical treatment. The present work has as objective to develop a calculation methodology based on the previously mentioned publication. This calculation methodology is centered in defining the frequencies of occurrence of events, according to representative database of each case in study. Besides, it settles down the consequences particularly according to the considerations of each area and the different possibilities of interferences with the gas pipeline in study. For each one of the interferences a typical curve of ignition probabilities is developed in function from the distance to the pipe. (author)

  15. Strength analysis of copper gas pipeline span

    OpenAIRE

    Ianevski, Philipp

    2016-01-01

    The purpose of the study was to analyze the stresses in a gas pipeline. While analyzing piping systems located inside building were used. Calculation of the strength of a gas pipeline is done by using information of the thickness of pipe walls, by choosing the suitable material, inner and outer diameter for the pipeline. Data for this thesis was collected through various internet sources and different books. From the study and research, the final results were reached and calculations were ...

  16. Condition Monitoring Of Operating Pipelines With Operational Modal Analysis Application

    OpenAIRE

    Mironov Aleksey; Doronkin Pavel; Priklonsky Aleksander; Kabashkin Igor

    2015-01-01

    In the petroleum, natural gas and petrochemical industries, great attention is being paid to safety, reliability and maintainability of equipment. There are a number of technologies to monitor, control, and maintain gas, oil, water, and sewer pipelines. The paper focuses on operational modal analysis (OMA) application for condition monitoring of operating pipelines. Special focus is on the topicality of OMA for definition of the dynamic features of the pipeline (frequencies and mode shapes) i...

  17. Quantitative risk analysis in two pipelines operated by TRANSPETRO

    Energy Technology Data Exchange (ETDEWEB)

    Garcia, Claudio B. [PETROBRAS Transporte S/A (TRANSPETRO), Rio de Janeiro, RJ (Brazil); Pinho, Edson [Universidade Federal Rural do Rio de Janeiro (UFRRJ), Seropedica, RJ (Brazil); Bittencourt, Euclides [Centro Universitario FIB, Salvador , BA (Brazil)

    2009-07-01

    Transportation risk analysis techniques were used to study two pipelines operated by TRANSPETRO. The Pipeline A is for the simultaneous transportation of diesel, gasoline and LPG and comprises three parts, all of them crossing rural areas. The Pipeline B is for oil transportation and one of its ends is located in an area of a high density population. Both pipelines had their risk studied using the PHAST RISK{sup R} software and the individual risk measures, the only considered measures for license purposes for this type of studies, presented level far below the maximum tolerable levels considered. (author)

  18. Petroleum labour market information supply demand analysis 2009-2020

    International Nuclear Information System (INIS)

    2010-03-01

    Since 2006, the petroleum industry has been interested in collaboration to determine labour demand and supply/demand gaps for the upstream petroleum industry. In 2006, the petroleum industry experienced strong employment growth and was having difficulty finding workers. Comprehensive, up-to-date labour market information and analysis are the key foundation for addressing labour supply/demand issues. This document presented labour market information on the petroleum industry in order to inform company retention and recruitment offices; government departments involved in development of labour market policies and programs; education and training institutions; guidance counsellors, employment centres and organizations that work with youth and labour supply pools; and job seekers. Specific topics that were discussed included two industry scenarios (growth and base case) in determining the petroleum industry's medium-and long-term employment needs; labour supply/demand considerations for the industry as a whole and an industry-wide cost management; and an analysis of exploration and production, oil sands, services, and pipeline sectors to 2020. It was concluded that while new employment is not expected to lead to labour shortages within the pipeline sector, attrition due to requirements almost certainly would. In the growth scenario, it is likely the pipeline sector will be challenged by competition from the other petroleum industry sectors. tabs., figs., appendices.

  19. Petroleum labour market information supply demand analysis 2009-2020

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    2010-03-15

    Since 2006, the petroleum industry has been interested in collaboration to determine labour demand and supply/demand gaps for the upstream petroleum industry. In 2006, the petroleum industry experienced strong employment growth and was having difficulty finding workers. Comprehensive, up-to-date labour market information and analysis are the key foundation for addressing labour supply/demand issues. This document presented labour market information on the petroleum industry in order to inform company retention and recruitment offices; government departments involved in development of labour market policies and programs; education and training institutions; guidance counsellors, employment centres and organizations that work with youth and labour supply pools; and job seekers. Specific topics that were discussed included two industry scenarios (growth and base case) in determining the petroleum industry's medium-and long-term employment needs; labour supply/demand considerations for the industry as a whole and an industry-wide cost management; and an analysis of exploration and production, oil sands, services, and pipeline sectors to 2020. It was concluded that while new employment is not expected to lead to labour shortages within the pipeline sector, attrition due to requirements almost certainly would. In the growth scenario, it is likely the pipeline sector will be challenged by competition from the other petroleum industry sectors. tabs., figs., appendices.

  20. Common Data Analysis Pipeline | Office of Cancer Clinical Proteomics Research

    Science.gov (United States)

    CPTAC supports analyses of the mass spectrometry raw data (mapping of spectra to peptide sequences and protein identification) for the public using a Common Data Analysis Pipeline (CDAP). The data types available on the public portal are described below. A general overview of this pipeline can be downloaded here. Mass Spectrometry Data Formats RAW (Vendor) Format

  1. Anti-Thixotropic Analysis of Pipeline Metal Losses in Welded ...

    African Journals Online (AJOL)

    Anti-Thixotropic Analysis of Pipeline Metal Losses in Welded Locations due to ... by the presence of large slurry of aggregates of sand stones in the pipelines. ... This investigation showed that the sand trap built insitu to sieve the sand and ...

  2. Intercity Travel Demand Analysis Model

    Directory of Open Access Journals (Sweden)

    Ming Lu

    2014-01-01

    Full Text Available It is well known that intercity travel is an important component of travel demand which belongs to short distance corridor travel. The conventional four-step method is no longer suitable for short distance corridor travel demand analysis for the time spent on urban traffic has a great impact on traveler's main mode choice. To solve this problem, the author studied the existing intercity travel demand analysis model, then improved it based on the study, and finally established a combined model of main mode choice and access mode choice. At last, an integrated multilevel nested logit model structure system was built. The model system includes trip generation, destination choice, and mode-route choice based on multinomial logit model, and it achieved linkage and feedback of each part through logsum variable. This model was applied in Shenzhen intercity railway passenger demand forecast in 2010 as a case study. As a result, the forecast results were consistent with the actuality. The model's correctness and feasibility were verified.

  3. Leak detection in pipelines through spectral analysis of pressure signals

    Directory of Open Access Journals (Sweden)

    Souza A.L.

    2000-01-01

    Full Text Available The development and test of a technique for leak detection in pipelines is presented. The technique is based on the spectral analysis of pressure signals measured in pipeline sections where the formation of stationary waves is favoured, allowing leakage detection during the start/stop of pumps. Experimental tests were performed in a 1250 m long pipeline for various operational conditions of the pipeline (liquid flow rate and leakage configuration. Pressure transients were obtained by four transducers connected to a PC computer. The obtained results show that the spectral analysis of pressure transients, together with the knowledge of reflection points provide a simple and efficient way of identifying leaks during the start/stop of pumps in pipelines.

  4. Environmental analysis for pipeline gas demonstration plants

    Energy Technology Data Exchange (ETDEWEB)

    Stinton, L.H.

    1978-09-01

    The Department of Energy (DOE) has implemented programs for encouraging the development and commercialization of coal-related technologies, which include coal gasification demonstration-scale activities. In support of commercialization activities the Environmental Analysis for Pipeline Gas Demonstration Plants has been prepared as a reference document to be used in evaluating potential environmental and socioeconomic effects from construction and operation of site- and process-specific projects. Effluents and associated impacts are identified for six coal gasification processes at three contrasting settings. In general, impacts from construction of a high-Btu gas demonstration plant are similar to those caused by the construction of any chemical plant of similar size. The operation of a high-Btu gas demonstration plant, however, has several unique aspects that differentiate it from other chemical plants. Offsite development (surface mining) and disposal of large quantities of waste solids constitute important sources of potential impact. In addition, air emissions require monitoring for trace metals, polycyclic aromatic hydrocarbons, phenols, and other emissions. Potential biological impacts from long-term exposure to these emissions are unknown, and additional research and data analysis may be necessary to determine such effects. Possible effects of pollutants on vegetation and human populations are discussed. The occurrence of chemical contaminants in liquid effluents and the bioaccumulation of these contaminants in aquatic organisms may lead to adverse ecological impact. Socioeconomic impacts are similar to those from a chemical plant of equivalent size and are summarized and contrasted for the three surrogate sites.

  5. A Java-based fMRI processing pipeline evaluation system for assessment of univariate general linear model and multivariate canonical variate analysis-based pipelines.

    Science.gov (United States)

    Zhang, Jing; Liang, Lichen; Anderson, Jon R; Gatewood, Lael; Rottenberg, David A; Strother, Stephen C

    2008-01-01

    As functional magnetic resonance imaging (fMRI) becomes widely used, the demands for evaluation of fMRI processing pipelines and validation of fMRI analysis results is increasing rapidly. The current NPAIRS package, an IDL-based fMRI processing pipeline evaluation framework, lacks system interoperability and the ability to evaluate general linear model (GLM)-based pipelines using prediction metrics. Thus, it can not fully evaluate fMRI analytical software modules such as FSL.FEAT and NPAIRS.GLM. In order to overcome these limitations, a Java-based fMRI processing pipeline evaluation system was developed. It integrated YALE (a machine learning environment) into Fiswidgets (a fMRI software environment) to obtain system interoperability and applied an algorithm to measure GLM prediction accuracy. The results demonstrated that the system can evaluate fMRI processing pipelines with univariate GLM and multivariate canonical variates analysis (CVA)-based models on real fMRI data based on prediction accuracy (classification accuracy) and statistical parametric image (SPI) reproducibility. In addition, a preliminary study was performed where four fMRI processing pipelines with GLM and CVA modules such as FSL.FEAT and NPAIRS.CVA were evaluated with the system. The results indicated that (1) the system can compare different fMRI processing pipelines with heterogeneous models (NPAIRS.GLM, NPAIRS.CVA and FSL.FEAT) and rank their performance by automatic performance scoring, and (2) the rank of pipeline performance is highly dependent on the preprocessing operations. These results suggest that the system will be of value for the comparison, validation, standardization and optimization of functional neuroimaging software packages and fMRI processing pipelines.

  6. Detailed inelastic analysis of an LMFBR pipeline

    International Nuclear Information System (INIS)

    Hibbitt, H.D.; Leung, E.K.; Ohalla, A.K.

    1982-01-01

    The paper describes detailed inelastic analyses of a large diameter, thin walled pipeline configuration typical of liquid metal cooled reactor primary piping, subject to thermal shock, with intermediate periods of creep hold time. Three such analyses are compared. Two of these analyses are performed with recently developed elements based on a combination of Fourier and polynomial interpolation to describe the deformation of the pipe. One of these two analyses includes continuous deformation of the pipe wall between each elbow and the adjacent straight pipe segments, while the other neglects such ''end effects'' on the elbow deformation. The third analysis is based on a modified axi-symmetric shell element for modeling the elbows (neglecting and effects). The results thus provide an assessment of the relative cost and importance of including consideration of end effects in modeling a realistic piping system, as well as providing a similar comparison between the two basic deforming section pipe models (Fourier/polynomial versus modified axi-symmetric shells)

  7. Analysis of the Komineft Pipeline oil

    Energy Technology Data Exchange (ETDEWEB)

    Lambert, P.; Wang, Z.; Fieldhouse, B.; Jokuty, P.; Bissonnette, M.; Fingas, M. [Whiticar Scientific, Ottawa, ON (Canada); Whiticar, S. [Whiticar Scientific, Ottawa, ON (Canada); Kyle, D.; Landriault, M.; Sigouin, L.; Goldthorp, M.

    1995-12-31

    A detailed summary of the results of a study by Canadian experts acting as members of a United Nations (UN) team at a pipeline oil spill site in Western Siberia was presented. The purpose of the UN visit was to assess existing damage to the environment and to determine potential future hazards. A Komineft Pipeline oil sample was examined and its composition and characteristics were established. The oil characterization included determination of density, viscosity, pour point, interfacial tension, flash point, water content, dispersant effectiveness, sulphur content, evaporative loss, emulsion viscosity, emulsion water content and hydrocarbon group composition. 11 refs., 20 tabs., 17 figs.

  8. Condition Monitoring Of Operating Pipelines With Operational Modal Analysis Application

    Directory of Open Access Journals (Sweden)

    Mironov Aleksey

    2015-12-01

    Full Text Available In the petroleum, natural gas and petrochemical industries, great attention is being paid to safety, reliability and maintainability of equipment. There are a number of technologies to monitor, control, and maintain gas, oil, water, and sewer pipelines. The paper focuses on operational modal analysis (OMA application for condition monitoring of operating pipelines. Special focus is on the topicality of OMA for definition of the dynamic features of the pipeline (frequencies and mode shapes in operation. The research was conducted using two operating laboratory models imitated a part of the operating pipeline. The results of finite-element modeling, identification of pipe natural modes and its modification under the influence of virtual failure are discussed. The work considers the results of experimental research of dynamic behavior of the operating pipe models using one of OMA techniques and comparing dynamic properties with the modeled data. The study results demonstrate sensitivity of modal shape parameters to modification of operating pipeline technical state. Two strategies of pipeline repair – with continuously condition-based monitoring with proposed technology and without such monitoring, was discussed. Markov chain reliability models for each strategy were analyzed and reliability improvement factor for proposed technology of monitoring in compare with traditional one was evaluated. It is resumed about ability of operating pipeline condition monitoring by measuring dynamic deformations of the operating pipe and OMA techniques application for dynamic properties extraction.

  9. Historical analysis of US pipeline accidents triggered by natural hazards

    Science.gov (United States)

    Girgin, Serkan; Krausmann, Elisabeth

    2015-04-01

    Natural hazards, such as earthquakes, floods, landslides, or lightning, can initiate accidents in oil and gas pipelines with potentially major consequences on the population or the environment due to toxic releases, fires and explosions. Accidents of this type are also referred to as Natech events. Many major accidents highlight the risk associated with natural-hazard impact on pipelines transporting dangerous substances. For instance, in the USA in 1994, flooding of the San Jacinto River caused the rupture of 8 and the undermining of 29 pipelines by the floodwaters. About 5.5 million litres of petroleum and related products were spilled into the river and ignited. As a results, 547 people were injured and significant environmental damage occurred. Post-incident analysis is a valuable tool for better understanding the causes, dynamics and impacts of pipeline Natech accidents in support of future accident prevention and mitigation. Therefore, data on onshore hazardous-liquid pipeline accidents collected by the US Pipeline and Hazardous Materials Safety Administration (PHMSA) was analysed. For this purpose, a database-driven incident data analysis system was developed to aid the rapid review and categorization of PHMSA incident reports. Using an automated data-mining process followed by a peer review of the incident records and supported by natural hazard databases and external information sources, the pipeline Natechs were identified. As a by-product of the data-collection process, the database now includes over 800,000 incidents from all causes in industrial and transportation activities, which are automatically classified in the same way as the PHMSA record. This presentation describes the data collection and reviewing steps conducted during the study, provides information on the developed database and data analysis tools, and reports the findings of a statistical analysis of the identified hazardous liquid pipeline incidents in terms of accident dynamics and

  10. Pipeline engineering

    CERN Document Server

    Liu, Henry

    2003-01-01

    PART I: PIPE FLOWSINTRODUCTIONDefinition and Scope Brief History of PipelinesExisting Major PipelinesImportance of PipelinesFreight (Solids) Transport by PipelinesTypes of PipelinesComponents of PipelinesAdvantages of PipelinesReferencesSINGLE-PHASE INCOMPRESSIBLE NEWTONIAN FLUIDIntroductionFlow RegimesLocal Mean Velocity and Its Distribution (Velocity Profile)Flow Equations for One-Dimensional AnalysisHydraulic and Energy Grade LinesCavitation in Pipeline SystemsPipe in Series and ParallelInterconnected ReservoirsPipe NetworkUnsteady Flow in PipeSINGLE-PHASE COMPRESSIBLE FLOW IN PIPEFlow Ana

  11. ANALYSIS ON TECHNOLOGICAL PROCESSES CLEANING OIL PIPELINES

    Directory of Open Access Journals (Sweden)

    Mariana PǍTRAŞCU

    2015-05-01

    Full Text Available In this paper the researches are presented concerning the technological processes of oil pipelines.We know several technologies and materials used for cleaning the sludge deposits, iron and manganese oxides, dross, stone, etc.de on the inner walls of drinking water pipes or industries.For the oil industry, methods of removal of waste materials and waste pipes and liquid and gas transport networks are operations known long, tedious and expensive. The main methods and associated problems can be summarized as follows: 1 Blowing with compressed air.2 manual or mechanical brushing, sanding with water or dry.3 Wash with water jet of high pressure, solvent or chemical solution to remove the stone and hard deposits.4 The combined methods of cleaning machines that use water jets, cutters, chains, rotary heads cutters, etc.

  12. Design Criteria for Suspended Pipelines Based on Structural Analysis

    Directory of Open Access Journals (Sweden)

    Mariana Simão

    2016-06-01

    Full Text Available Mathematical models have become the target of numerous attempts to obtain results that can be extrapolated to the study of hydraulic pressure infrastructures associated with different engineering requests. Simulation analysis based on finite element method (FEM models are used to determine the vulnerability of hydraulic systems under different types of actions (e.g., natural events and pressure variation. As part of the numerical simulation of a suspended pipeline, the adequacy of existing supports to sustain the pressure loads is verified. With a certain value of load application, the pipeline is forced to sway sideways, possibly lifting up off its deadweight supports. Thus, identifying the frequency, consequences and predictability of accidental events is of extreme importance. This study focuses on the stability of vertical supports associated with extreme transient loads and how a pipeline design can be improved using FEM simulations, in the design stage, to avoid accidents. Distribution of bending moments, axial forces, displacements and deformations along the pipeline and supports are studied for a set of important parametric variations. A good representation of the pipeline displacements is obtained using FEM.

  13. Selection of pipeline steels with an engineering fracture mechanical analysis

    Energy Technology Data Exchange (ETDEWEB)

    Stenbacka, N [Swedish State Power Board, Vaellingby

    1985-01-01

    Selection of pipeline steels is discussed on the basis of two mutually independent failure mechanisms: elastic fracture and plastic collapse. The presentation is restricted to axial flaws. A formal analysis shows that brittle fracture in modern pipelines has no high priority in design, since steels used today have a high fracture toughness. Instead, a case of practical concern is tha plastic collapse mode, where failure is flow stress controlled. Conditions governing this design case are specified. In conjunction with this, criterions for material selection with regard to fracture toughness is presented.

  14. Analysis of stresses on buried pipeline subjected to landslide based on numerical simulation and regression analysis

    Energy Technology Data Exchange (ETDEWEB)

    Han, Bing; Jing, Hongyuan; Liu, Jianping; Wu, Zhangzhong [PetroChina Pipeline RandD Center, Langfang, Hebei (China); Hao, Jianbin [School of Petroleum Engineering, Southwest Petroleum University, Chengdu, Sichuan (China)

    2010-07-01

    Landslides have a serious impact on the integrity of oil and gas pipelines in the tough terrain of Western China. This paper introduces a solving method of axial stress, which uses numerical simulation and regression analysis for the pipelines subjected to landslides. Numerical simulation is performed to analyze the change regularity of pipe stresses for the five vulnerability assessment indexes, which are: the distance between pipeline and landslide tail; the thickness of landslide; the inclination angle of landslide; the pipeline length passing through landslide; and the buried depth of pipeline. A pipeline passing through a certain landslide in southwest China was selected as an example to verify the feasibility and effectiveness of this method. This method has practical applicability, but it would need large numbers of examples to better verify its reliability and should be modified accordingly. Also, it only considers the case where the direction of the pipeline is perpendicular to the primary slip direction of the landslide.

  15. Local buckling failure analysis of high-strength pipelines

    Institute of Scientific and Technical Information of China (English)

    Yan Li; Jian Shuai; Zhong-Li Jin; Ya-Tong Zhao; Kui Xu

    2017-01-01

    Pipelines in geological disaster regions typically suffer the risk of local buckling failure because of slender structure and complex load.This paper is meant to reveal the local buckling behavior of buried pipelines with a large diameter and high strength,which are under different conditions,including pure bending and bending combined with internal pressure.Finite element analysis was built according to previous data to study local buckling behavior of pressurized and unpressurized pipes under bending conditions and their differences in local buckling failure modes.In parametric analysis,a series of parameters,including pipe geometrical dimension,pipe material properties and internal pressure,were selected to study their influences on the critical bending moment,critical compressive stress and critical compressive strain of pipes.Especially the hardening exponent of pipe material was introduced to the parameter analysis by using the Ramberg-Osgood constitutive model.Results showed that geometrical dimensions,material and internal pressure can exert similar effects on the critical bending moment and critical compressive stress,which have different,even reverse effects on the critical compressive strain.Based on these analyses,more accurate design models of critical bending moment and critical compressive stress have been proposed for high-strength pipelines under bending conditions,which provide theoretical methods for highstrength pipeline engineering.

  16. Reliability analysis of land pipelines for hydrocarbons transportation in Mexico

    Energy Technology Data Exchange (ETDEWEB)

    Leon, D.; Cortes, C. [Inst. Mexicano del Petroleo (Mexico)

    2004-07-01

    The reliability of a land pipeline operated by PEMEX in Mexico was estimated under a range of failure modes. Reliability and safety were evaluated in terms of the pipeline's internal pressure, bending, fracture toughness and its tension failure mode conditions. Loading conditions were applied individually, while bending and tension loads were applied in a combined fashion. The mechanical properties of the steel were also considered along with the degradation effect of internal corrosion resulting from the type of product being transported. A set of internal pressures and mechanical properties were generated randomly using Monte Carlo simulation. Commercial software was used to obtain the pipeline response under each modeled condition. The response analysis was based on the nonlinear finite element method involving a calculation of maximum stresses and stress concentration factors under conditions of corrosion and no corrosion. The margin between maximum stresses due to internal pressure, tension and bending was evaluated along with the margin between stress concentration factor and fracture initiation toughness. The study showed that internal pressure, stress concentration and tension-bending were the critical failure modes. It was suggested that more research should be conducted to improve the modeling of the deteriorating effects of corrosion and to adjust the probability distribution for fracture toughness and the length/depth defect ratio. The consideration of welding geometries along with features of marine pipelines and pipeline products would help to generalize the study to facilitate the creation of codes for the construction, design, inspection and maintenance of pipelines in Mexico. 7 refs., 1 tab., 14 figs.

  17. Comprehensive investigation into historical pipeline construction costs and engineering economic analysis of Alaska in-state gas pipeline

    Science.gov (United States)

    Rui, Zhenhua

    This study analyzes historical cost data of 412 pipelines and 220 compressor stations. On the basis of this analysis, the study also evaluates the feasibility of an Alaska in-state gas pipeline using Monte Carlo simulation techniques. Analysis of pipeline construction costs shows that component costs, shares of cost components, and learning rates for material and labor costs vary by diameter, length, volume, year, and location. Overall average learning rates for pipeline material and labor costs are 6.1% and 12.4%, respectively. Overall average cost shares for pipeline material, labor, miscellaneous, and right of way (ROW) are 31%, 40%, 23%, and 7%, respectively. Regression models are developed to estimate pipeline component costs for different lengths, cross-sectional areas, and locations. An analysis of inaccuracy in pipeline cost estimation demonstrates that the cost estimation of pipeline cost components is biased except for in the case of total costs. Overall overrun rates for pipeline material, labor, miscellaneous, ROW, and total costs are 4.9%, 22.4%, -0.9%, 9.1%, and 6.5%, respectively, and project size, capacity, diameter, location, and year of completion have different degrees of impacts on cost overruns of pipeline cost components. Analysis of compressor station costs shows that component costs, shares of cost components, and learning rates for material and labor costs vary in terms of capacity, year, and location. Average learning rates for compressor station material and labor costs are 12.1% and 7.48%, respectively. Overall average cost shares of material, labor, miscellaneous, and ROW are 50.6%, 27.2%, 21.5%, and 0.8%, respectively. Regression models are developed to estimate compressor station component costs in different capacities and locations. An investigation into inaccuracies in compressor station cost estimation demonstrates that the cost estimation for compressor stations is biased except for in the case of material costs. Overall average

  18. Enterprise simulation analysis of the nylon jacket pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Chandra, Charu [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Nastasi, Anthony [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Powell, Dennis R. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Ostic, James K. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    1996-12-01

    The purpose of this study was to identify ways in which time and cost might be removed from the production of L. L. Bean’s® Warm-up Jacket through systems analysis and the application of supply chain management principles such as coordination and integration. The first three sections of this report provide an introduction, study objectives and a definition of generic supply chain problems as well as those specific to the Nylon Jacket Pipeline (NJP) respectively. Section four outlines the supply chain design components that should be included in any pipeline analysis including a generic architecture and methodology. In section five, results specific to the NJP analysis are documented. Finally, the last three sections include the project’s activities, deliverables, recommendations and conclusions.

  19. 18 CFR 357.3 - FERC Form No. 73, Oil Pipeline Data for Depreciation Analysis.

    Science.gov (United States)

    2010-04-01

    ... Pipeline Data for Depreciation Analysis. 357.3 Section 357.3 Conservation of Power and Water Resources... No. 73, Oil Pipeline Data for Depreciation Analysis. (a) Who must file. Any oil pipeline company requesting new or changed depreciation rates pursuant to part 347 of this title if the proposed depreciation...

  20. Practical approach on gas pipeline compression system availability analysis

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Sidney Pereira dos [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil); Kurz, Rainer; Lubomirsky, Matvey [Solar Turbines, San Diego, CA (United States)

    2009-12-19

    Gas pipeline projects traditionally have been designed based on load factor and steady state flow. This approach exposes project sponsors to project sustainability risks due to potential losses of revenues and transportation contract penalties related to pipeline capacity shortage as consequence of compressor unit's unavailability. Such unavailability should previously be quantified during the design phase. This paper presents a case study and a methodology that highlights the practical benefits of applying Monte Carlo simulation for the compression system availability analysis in conjunction with quantitative risk analysis and economic feasibility study. Project economics main variables and their impacts on the project NPV (Net Present Value) are evaluated with their respective statistics distribution to quantify risk and support decision makers to adopt mitigating measures to guarantee competitiveness while protecting project sponsors from otherwise unpredictable risks. This practical approach is compared to load factor approach and the results are presented and evaluated. (author)

  1. Quantitative risk analysis of the pipeline GASDUC III - solutions

    Energy Technology Data Exchange (ETDEWEB)

    Silva, Edmilson P.; Bettoni, Izabel Cristina [PETROBRAS, Rio de Janeiro, RJ (Brazil)

    2009-07-01

    In this work the quantitative risks analysis to the external public of the Pipeline Cabiunas - REDUC (GASDUC III), with 180 km, linking the municipalities of Macae and Duque de Caxias - RJ was performed by the Companies PETROBRAS and ITSEMAP do Brasil. In addition to the large diameter of the pipeline 38 inches and high operation pressure 100 kgf/cm{sup 2} operating with natural gas through several densely populated areas. Initially, the individual risk contours were calculated without considering mitigating measures, obtaining as result the individual risk contour with frequencies of 1x10{sup -06} per year involving sensitive occupations and therefore considered unacceptable when compared with the INEA criterion. The societal risk was calculated for eight densely populated areas and their respective FN-curves situated below the advised limit established by INEA, except for two areas that required the proposal of additional mitigating measures to the reduction of societal risk. Regarding to societal risk, the FN-curve should be below the advised limit presented in the Technical Instruction of INEA. The individual and societal risk were reassessed incorporating some mitigating measures and the results situated below the advised limits established by INEA and PETROBRAS has obtained the license for installation of the pipeline. (author)

  2. Stress analysis and mitigation measures for floating pipeline

    Science.gov (United States)

    Wenpeng, Guo; Yuqing, Liu; Chao, Li

    2017-03-01

    Pipeline-floating is a kind of accident with contingency and uncertainty associated to natural gas pipeline occurring during rainy season, which is significantly harmful to the safety of pipeline. Treatment measures against pipeline floating accident are summarized in this paper on the basis of practical project cases. Stress states of pipeline upon floating are analyzed by means of Finite Element Calculation method. The effectiveness of prevention ways and subsequent mitigation measures upon pipeline-floating are verified for giving guidance to the mitigation of such accidents.

  3. Finite elements for non-linear analysis of pipelines

    International Nuclear Information System (INIS)

    Benjamim, A.C.; Ebecken, N.F.F.

    1982-01-01

    The application of a three-dimensional lagrangian formulation for the great dislocations analysis and great rotation of pipelines systems is studied. This formulation is derived from the soil mechanics and take into account the shear stress effects. Two finite element models are implemented. The first, of right axis, uses as interpolation functions the conventional gantry functions, defined in relation to mobile coordinates. The second, of curve axis and variable cross sections, is obtained from the degeneration of the three-dimensional isoparametric element, and uses as interpolation functions third degree polynomials. (E.G.) [pt

  4. Porcupine: A visual pipeline tool for neuroimaging analysis.

    Directory of Open Access Journals (Sweden)

    Tim van Mourik

    2018-05-01

    Full Text Available The field of neuroimaging is rapidly adopting a more reproducible approach to data acquisition and analysis. Data structures and formats are being standardised and data analyses are getting more automated. However, as data analysis becomes more complicated, researchers often have to write longer analysis scripts, spanning different tools across multiple programming languages. This makes it more difficult to share or recreate code, reducing the reproducibility of the analysis. We present a tool, Porcupine, that constructs one's analysis visually and automatically produces analysis code. The graphical representation improves understanding of the performed analysis, while retaining the flexibility of modifying the produced code manually to custom needs. Not only does Porcupine produce the analysis code, it also creates a shareable environment for running the code in the form of a Docker image. Together, this forms a reproducible way of constructing, visualising and sharing one's analysis. Currently, Porcupine links to Nipype functionalities, which in turn accesses most standard neuroimaging analysis tools. Our goal is to release researchers from the constraints of specific implementation details, thereby freeing them to think about novel and creative ways to solve a given problem. Porcupine improves the overview researchers have of their processing pipelines, and facilitates both the development and communication of their work. This will reduce the threshold at which less expert users can generate reusable pipelines. With Porcupine, we bridge the gap between a conceptual and an implementational level of analysis and make it easier for researchers to create reproducible and shareable science. We provide a wide range of examples and documentation, as well as installer files for all platforms on our website: https://timvanmourik.github.io/Porcupine. Porcupine is free, open source, and released under the GNU General Public License v3.0.

  5. Stress and Strain State Analysis of Defective Pipeline Portion

    Science.gov (United States)

    Burkov, P. V.; Burkova, S. P.; Knaub, S. A.

    2015-09-01

    The paper presents computer simulation results of the pipeline having defects in a welded joint. Autodesk Inventor software is used for simulation of the stress and strain state of the pipeline. Places of the possible failure and stress concentrators are predicted on the defective portion of the pipeline.

  6. Failure analysis of high strength pipeline with single and multiple corrosions

    International Nuclear Information System (INIS)

    Chen, Yanfei; Zhang, Hong; Zhang, Juan; Li, Xin; Zhou, Jing

    2015-01-01

    Highlights: • We study failure of high strength pipelines with single corrosion. • We give regression equations for failure pressure prediction. • We propose assessment procedure for pipelines with multiple corrosions. - Abstract: Corrosion will compromise safety operation of oil and gas pipelines, accurate determination of failure pressure finds importance in residual strength assessment and corrosion allowance design of onshore and offshore pipelines. This paper investigates failure pressure of high strength pipeline with single and multiple corrosions using nonlinear finite element analysis. On the basis of developed regression equations for failure pressure prediction of high strength pipeline with single corrosion, the paper proposes an assessment procedure for predicting failure pressure of high strength pipeline with multiple corrosions. Furthermore, failure pressures predicted by proposed solutions are compared with experimental results and various assessment methods available in literature, where accuracy and versatility are demonstrated

  7. Crossing Active Faults on the Sakhalin II Onshore Pipeline Route: Pipeline Design and Risk Analysis

    International Nuclear Information System (INIS)

    Mattiozzi, Pierpaolo; Strom, Alexander

    2008-01-01

    Twin oil (20 and 24 inch) and gas (20 and 48 inch) pipeline systems stretching 800 km are being constructed to connect offshore hydrocarbon deposits from the Sakhalin II concession in the North to an LNG plant and oil export terminal in the South of Sakhalin island. The onshore pipeline route follows a regional fault zone and crosses individual active faults at 19 locations. Sakhalin Energy, Design and Construction companies took significant care to ensure the integrity of the pipelines, should large seismic induced ground movements occur during the Operational life of the facilities. Complex investigations including the identification of the active faults, their precise location, their particular displacement values and assessment of the fault kinematics were carried out to provide input data for unique design solutions. Lateral and reverse offset displacements of 5.5 and 4.5 m respectively were determined as the single-event values for the design level earthquake (DLE) - the 1000-year return period event. Within the constraints of a pipeline route largely fixed, the underground pipeline fault crossing design was developed to define the optimum routing which would minimize stresses and strain using linepipe materials which had been ordered prior to the completion of detailed design, and to specify requirements for pipe trenching shape, materials, drainage system, etc. Detailed Design was performed with due regard to actual topography and to avoid the possibility of the trenches freezing in winter, the implementation of specific drainage solutions and thermal protection measures

  8. Genome Assembly and Computational Analysis Pipelines for Bacterial Pathogens

    KAUST Repository

    Rangkuti, Farania Gama Ardhina

    2011-06-01

    Pathogens lie behind the deadliest pandemics in history. To date, AIDS pandemic has resulted in more than 25 million fatal cases, while tuberculosis and malaria annually claim more than 2 million lives. Comparative genomic analyses are needed to gain insights into the molecular mechanisms of pathogens, but the abundance of biological data dictates that such studies cannot be performed without the assistance of computational approaches. This explains the significant need for computational pipelines for genome assembly and analyses. The aim of this research is to develop such pipelines. This work utilizes various bioinformatics approaches to analyze the high-­throughput genomic sequence data that has been obtained from several strains of bacterial pathogens. A pipeline has been compiled for quality control for sequencing and assembly, and several protocols have been developed to detect contaminations. Visualization has been generated of genomic data in various formats, in addition to alignment, homology detection and sequence variant detection. We have also implemented a metaheuristic algorithm that significantly improves bacterial genome assemblies compared to other known methods. Experiments on Mycobacterium tuberculosis H37Rv data showed that our method resulted in improvement of N50 value of up to 9697% while consistently maintaining high accuracy, covering around 98% of the published reference genome. Other improvement efforts were also implemented, consisting of iterative local assemblies and iterative correction of contiguated bases. Our result expedites the genomic analysis of virulent genes up to single base pair resolution. It is also applicable to virtually every pathogenic microorganism, propelling further research in the control of and protection from pathogen-­associated diseases.

  9. CRISPR-DAV: CRISPR NGS data analysis and visualization pipeline.

    Science.gov (United States)

    Wang, Xuning; Tilford, Charles; Neuhaus, Isaac; Mintier, Gabe; Guo, Qi; Feder, John N; Kirov, Stefan

    2017-12-01

    The simplicity and precision of CRISPR/Cas9 system has brought in a new era of gene editing. Screening for desired clones with CRISPR-mediated genomic edits in a large number of samples is made possible by next generation sequencing (NGS) due to its multiplexing. Here we present CRISPR-DAV (CRISPR Data Analysis and Visualization) pipeline to analyze the CRISPR NGS data in a high throughput manner. In the pipeline, Burrows-Wheeler Aligner and Assembly Based ReAlignment are used for small and large indel detection, and results are presented in a comprehensive set of charts and interactive alignment view. CRISPR-DAV is available at GitHub and Docker Hub repositories: https://github.com/pinetree1/crispr-dav.git and https://hub.docker.com/r/pinetree1/crispr-dav/. xuning.wang@bms.com. © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  10. Analysis of underground concrete pipelines subjected to seismic high-frequency loads

    OpenAIRE

    Abbasiverki, Roghayeh

    2016-01-01

    Buried pipelines are tubular structures that are used for transportation of important liquid materials and gas in order to provide safety for human life. During an earthquake, imposed loads from soil deformations on concrete pipelines may cause severe damages, possibly causing disturbance in vital systems, such as cooling of nuclear power facilities. The high level of safety has caused a demand for reliable seismic analyses, also for structures built in the regions that have not traditionally...

  11. Development and Applications of Pipeline Steel in Long-Distance Gas Pipeline of China

    Science.gov (United States)

    Chunyong, Huo; Yang, Li; Lingkang, Ji

    In past decades, with widely utilizing of Microalloying and Thermal Mechanical Control Processing (TMCP) technology, the good matching of strength, toughness, plasticity and weldability on pipeline steel has been reached so that oil and gas pipeline has been greatly developed in China to meet the demand of strong domestic consumption of energy. In this paper, development history of pipeline steel and gas pipeline in china is briefly reviewed. The microstructure characteristic and mechanical performance of pipeline steel used in some representative gas pipelines of china built in different stage are summarized. Through the analysis on the evolution of pipeline service environment, some prospective development trend of application of pipeline steel in China is also presented.

  12. Northern entanglement : Arctic gas pipeline plans caught in web of competing interests, but dire supply-demand forecasts indicate line will be built

    International Nuclear Information System (INIS)

    Stonehouse, D.

    2005-01-01

    This article discussed land access and regulatory issues surrounding decisions to stop field work of the Mackenzie Valley pipeline in the spring of 2005. Although current supply and demand balances in natural gas markets argue that the pipeline will be beneficial, Imperial Oil and its partners have halted activities such as geotechnical data-gathering programs and preparatory work on contracting construction. The project's future depends on the successful resolution of First Nations land claims, governmental disputes and various activist groups protesting the pipeline's construction. Imperial Oil has suggested that the pipeline presents a significant opportunity for the people of the North to reduce their reliance on government and will create jobs and business opportunities for Aboriginal people. In the aftermath of work stoppage, Alberta's former Energy Minister stated that imports of Liquefied Natural Gas (LNG) and Alaska gas from the proposed Alaska Highway Pipeline Project may arrive on the market in advance of the Mackenzie Valley project, which would affect the project's financial future. It was noted that access and benefits agreements with First Nations stakeholders have yet to be reached. Lawsuits involving the Deh Cho First Nations were examined. It was also suggested that Imperial Oil has not included information on the Alberta portion of the project in its environmental impact assessment. It was concluded that if the Mackenzie Delta line isn't in service by 2010, North American consumers can expect to spend an extra $190 billion on gas from 2011 to 2020. 3 figs

  13. Steam leak detection method in pipeline using histogram analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Se Oh; Jeon, Hyeong Seop; Son, Ki Sung; Chae, Gyung Sun [Saean Engineering Corp, Seoul (Korea, Republic of); Park, Jong Won [Dept. of Information Communications Engineering, Chungnam NationalUnversity, Daejeon (Korea, Republic of)

    2015-10-15

    Leak detection in a pipeline usually involves acoustic emission sensors such as contact type sensors. These contact type sensors pose difficulties for installation and cannot operate in areas having high temperature and radiation. Therefore, recently, many researchers have studied the leak detection phenomenon by using a camera. Leak detection by using a camera has the advantages of long distance monitoring and wide area surveillance. However, the conventional leak detection method by using difference images often mistakes the vibration of a structure for a leak. In this paper, we propose a method for steam leakage detection by using the moving average of difference images and histogram analysis. The proposed method can separate the leakage and the vibration of a structure. The working performance of the proposed method is verified by comparing with experimental results.

  14. Photometric Analysis in the Kepler Science Operations Center Pipeline

    Science.gov (United States)

    Twicken, Joseph D.; Clarke, Bruce D.; Bryson, Stephen T.; Tenenbaum, Peter; Wu, Hayley; Jenkins, Jon M.; Girouard, Forrest; Klaus, Todd C.

    2010-01-01

    We describe the Photometric Analysis (PA) software component and its context in the Kepler Science Operations Center (SOC) pipeline. The primary tasks of this module are to compute the photometric flux and photocenters (centroids) for over 160,000 long cadence (thirty minute) and 512 short cadence (one minute) stellar targets from the calibrated pixels in their respective apertures. We discuss the science algorithms for long and short cadence PA: cosmic ray cleaning; background estimation and removal; aperture photometry; and flux-weighted centroiding. We discuss the end-to-end propagation of uncertainties for the science algorithms. Finally, we present examples of photometric apertures, raw flux light curves, and centroid time series from Kepler flight data. PA light curves, centroid time series, and barycentric timestamp corrections are exported to the Multi-mission Archive at Space Telescope [Science Institute] (MAST) and are made available to the general public in accordance with the NASA/Kepler data release policy.

  15. Risk Analysis using Corrosion Rate Parameter on Gas Transmission Pipeline

    Science.gov (United States)

    Sasikirono, B.; Kim, S. J.; Haryadi, G. D.; Huda, A.

    2017-05-01

    In the oil and gas industry, the pipeline is a major component in the transmission and distribution process of oil and gas. Oil and gas distribution process sometimes performed past the pipeline across the various types of environmental conditions. Therefore, in the transmission and distribution process of oil and gas, a pipeline should operate safely so that it does not harm the surrounding environment. Corrosion is still a major cause of failure in some components of the equipment in a production facility. In pipeline systems, corrosion can cause failures in the wall and damage to the pipeline. Therefore it takes care and periodic inspections or checks on the pipeline system. Every production facility in an industry has a level of risk for damage which is a result of the opportunities and consequences of damage caused. The purpose of this research is to analyze the level of risk of 20-inch Natural Gas Transmission Pipeline using Risk-based inspection semi-quantitative based on API 581 associated with the likelihood of failure and the consequences of the failure of a component of the equipment. Then the result is used to determine the next inspection plans. Nine pipeline components were observed, such as a straight pipes inlet, connection tee, and straight pipes outlet. The risk assessment level of the nine pipeline’s components is presented in a risk matrix. The risk level of components is examined at medium risk levels. The failure mechanism that is used in this research is the mechanism of thinning. Based on the results of corrosion rate calculation, remaining pipeline components age can be obtained, so the remaining lifetime of pipeline components are known. The calculation of remaining lifetime obtained and the results vary for each component. Next step is planning the inspection of pipeline components by NDT external methods.

  16. Energy demand analysis in the industrial sector

    International Nuclear Information System (INIS)

    Lapillone, B.

    1991-01-01

    This Chapter of the publication is dealing with Energy Demand Analysis in the Industrial Sector.Different estimates of energy consumption in Industry taking Thailand as an example is given. Major energy consuming industrial sectors in selected Asian countries are given. Suggestion for the analysis of the energy consumption trends in industry, whether at the overall level or at the sub-sector level (e.g. food) using the conventional approach , through energy/output ratio is given. 4 refs, 7 figs, 13 tabs

  17. Proceedings of the seventh annual North American pipelines conference : meeting the demands and challenges of a new era in pipeline development

    International Nuclear Information System (INIS)

    2002-01-01

    This two-day event provided a forum for all interested parties and stakeholders to exchange ideas and trends concerning the North American pipelines sector. The participants heard from speakers representing a vast array of disciplines, who discussed several topics. The presentations touched on the trends that are developing in the North American natural gas market; Arctic gas and the attempts to secure greater continental energy supply; ways to meet the unique gas supply needs of peak load generation; the impact of new pipeline projects in North America's East and West; the corporate acquisitions, regulatory changes, and storage trends expected to affect the sector; and the strategies for marketing gas in an unbundled market. A presentation also dealt with the business case behind the West Coast acquisition from Duke Energy

  18. CFD analysis of onshore oil pipelines in permafrost

    Science.gov (United States)

    Nardecchia, Fabio; Gugliermetti, Luca; Gugliermetti, Franco

    2017-07-01

    Underground pipelines are built all over the world and the knowledge of their thermal interaction with the soil is crucial for their design. This paper studies the "thermal influenced zone" produced by a buried pipeline and the parameters that can influence its extension by 2D-steady state CFD simulations with the aim to improve the design of new pipelines in permafrost. In order to represent a real case, the study is referred to the Eastern Siberia-Pacific Ocean Oil Pipeline at the three stations of Mo'he, Jiagedaqi and Qiqi'har. Different burial depth sand diameters of the pipe are analyzed; the simulation results show that the effect of the oil pipeline diameter on the thermal field increases with the increase of the distance from the starting station.

  19. Analysis of food demand among rural households in Kwara State ...

    African Journals Online (AJOL)

    Analysis of food demand among rural households in Kwara State, North Central ... Nigerian Journal of Technological Research ... Contrary to the law of demand, this study shows that the demand for animal products and fats/oil increased with ...

  20. Frequency spectrum method-based stress analysis for oil pipelines in earthquake disaster areas.

    Directory of Open Access Journals (Sweden)

    Xiaonan Wu

    Full Text Available When a long distance oil pipeline crosses an earthquake disaster area, inertial force and strong ground motion can cause the pipeline stress to exceed the failure limit, resulting in bending and deformation failure. To date, researchers have performed limited safety analyses of oil pipelines in earthquake disaster areas that include stress analysis. Therefore, using the spectrum method and theory of one-dimensional beam units, CAESAR II is used to perform a dynamic earthquake analysis for an oil pipeline in the XX earthquake disaster area. This software is used to determine if the displacement and stress of the pipeline meet the standards when subjected to a strong earthquake. After performing the numerical analysis, the primary seismic action axial, longitudinal and horizontal displacement directions and the critical section of the pipeline can be located. Feasible project enhancement suggestions based on the analysis results are proposed. The designer is able to utilize this stress analysis method to perform an ultimate design for an oil pipeline in earthquake disaster areas; therefore, improving the safe operation of the pipeline.

  1. Frequency spectrum method-based stress analysis for oil pipelines in earthquake disaster areas.

    Science.gov (United States)

    Wu, Xiaonan; Lu, Hongfang; Huang, Kun; Wu, Shijuan; Qiao, Weibiao

    2015-01-01

    When a long distance oil pipeline crosses an earthquake disaster area, inertial force and strong ground motion can cause the pipeline stress to exceed the failure limit, resulting in bending and deformation failure. To date, researchers have performed limited safety analyses of oil pipelines in earthquake disaster areas that include stress analysis. Therefore, using the spectrum method and theory of one-dimensional beam units, CAESAR II is used to perform a dynamic earthquake analysis for an oil pipeline in the XX earthquake disaster area. This software is used to determine if the displacement and stress of the pipeline meet the standards when subjected to a strong earthquake. After performing the numerical analysis, the primary seismic action axial, longitudinal and horizontal displacement directions and the critical section of the pipeline can be located. Feasible project enhancement suggestions based on the analysis results are proposed. The designer is able to utilize this stress analysis method to perform an ultimate design for an oil pipeline in earthquake disaster areas; therefore, improving the safe operation of the pipeline.

  2. Demand analysis of tobacco consumption in Malaysia.

    Science.gov (United States)

    Ross, Hana; Al-Sadat, Nabilla A M

    2007-11-01

    We estimated the price and income elasticity of cigarette demand and the impact of cigarette taxes on cigarette demand and cigarette tax revenue in Malaysia. The data on cigarette consumption, cigarette prices, and public policies between 1990 and 2004 were subjected to a time-series regression analysis applying the error-correction model. The preferred cigarette demand model specification resulted in long-run and short-run price elasticities estimates of -0.57 and -0.08, respectively. Income was positively related to cigarette consumption: A 1% increase in real income increased cigarette consumption by 1.46%. The model predicted that an increase in cigarette excise tax from Malaysian ringgit (RM) 1.60 to RM2.00 per pack would reduce cigarette consumption in Malaysia by 3.37%, or by 806,468,873 cigarettes. This reduction would translate to almost 165 fewer tobacco-related lung cancer deaths per year and a 20.8% increase in the government excise tax revenue. We conclude that taxation is an effective method of reducing cigarette consumption and tobacco-related deaths while increasing revenue for the government of Malaysia.

  3. Human Factors Analysis of Pipeline Monitoring and Control Operations: Final Technical Report

    Science.gov (United States)

    2008-11-26

    The purpose of the Human Factors Analysis of Pipeline Monitoring and Control Operations project was to develop procedures that could be used by liquid pipeline operators to assess and manage the human factors risks in their control rooms that may adv...

  4. Study on the petroleum recovery technology : Analysis of pipeline flow

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Se Joon; Kim, Hyun Tae; Kim, In Kee; Huh, Dae Gee [Korea Institute of Geology Mining and Materials, Taejon (Korea)

    1998-12-01

    The petroleum exploration activities have been performed by our own technology in the concession Block VI-I in Korean continental shelf for more than 10 years. Gas and gas condensate were discovered from several exploratory wells drilled in this block. This year, the news of another hit in the well of Gorae-V was very encouraging. Different from the previous gas discoveries, the reservoir properties and the productivity of Gorea-V well were excellent and the reserve estimate was very optimistic for the gas field development in this region. Gas consumption was very rapidly increased during recent years because of the image of cleaner fuel compared with other fossil fuels and convenience of usage. Korea is the fifth country in the world in terms of total quantity of petroleum consumption. This is the reason why the secure supply of oil and gas in the future is vital to our industry. The development of gas or gas condensate reservoir is different from that of oil reservoir. Especially sales contract must be made before the initiation of gas field exploitation. The production facilities including pipeline system must be selected and designed for further consideration. In this study, we have selected the 'K' offshore gas field where the water depth is 155 m and the distance from the shore is 50 km. The main purpose of this production system analysis is to select the optimum size and capacity of production facilities including pipeline in order to find the most appropriate production schedule. Production system analysis using nodal analysis includes deliverability calculation of the reservoir, production system optimization, recoverable reserve estimation, and performance forecast of the reservoir with three different production rate scenarios. The reservoir pressure is 4525 psia and the temperature is 248 deg.F. The OGIP of this reservoir was calculated as 24.64 BCF/well and the reservoir is expected to produce for up to 10 years. The porosity is 6% and the

  5. A SWOT Analysis of the Nabucco Pipeline from Romania’s Point of View

    Directory of Open Access Journals (Sweden)

    Mariana Papatulica

    2009-07-01

    Full Text Available European Union energy sources are supposed to be sufficient to cover expected growth of natural gas demand for the coming decades, but there are not enough opportunities/infrastructure to transport these volumes of gas to European markets. Arbitrary interruptions of Russia gas deliveries towards Europe, the delays in the rehabilitation of its obsolete pipeline network, the interdiction of direct Asian gas exports transit through Russian transport infrastructure, made stringently necessary for European countries to diversify gas suppliers’ portfolio, by avoiding Russian territory. Nabucco pipeline was conceived as an alternative to European Union countries’ high dependence on Russian gas (about 40% of their consumption is provided by Russia, by connecting European Union countries directly to the huge natural gas resources of Central Asia, on the route Turkey – Bulgaria – Romania – Hungary – Austria. The purpose of this paper is to make a SWOT analysis of this project, highlighting its strengths and weakness from Romania’s point of view, as well as the opportunities and threats as external factors. The main idea resulting from the analysis is that strengths are prevailing for Romania. The turning to account of this project will ensure the diversification of gas sources and the development of competitive markets which can entail price reduction. It is supposed to be a fair and advantageous option, economically reliable, that will reduce dependence on deliveries of gas from a single source – Russia, ensuring two undeniable prerequisites: accessibility (to new supply sources and availability (which refers to guarantees of long term sustainability of gas deliveries. The project implementation will allow energy to help to establish new structural links between the EU, Turkey and the Caspian Sea states and will ensure transfrontier cooperation possibilities inside some euro-regions already constituted, by accessing regional development

  6. Streak detection and analysis pipeline for optical images

    Science.gov (United States)

    Virtanen, J.; Granvik, M.; Torppa, J.; Muinonen, K.; Poikonen, J.; Lehti, J.; Säntti, T.; Komulainen, T.; Flohrer, T.

    2014-07-01

    We describe a novel data processing and analysis pipeline for optical observations of moving objects, either of natural (asteroids, meteors) or artificial origin (satellites, space debris). The monitoring of the space object populations requires reliable acquisition of observational data to support the development and validation of population models, and to build and maintain catalogues of orbital elements. The orbital catalogues are, in turn, needed for the assessment of close approaches (for asteroids, with the Earth; for satellites, with each other) and for the support of contingency situations or launches. For both types of populations, there is also increasing interest to detect fainter objects corresponding to the small end of the size distribution. We focus on the low signal-to-noise (SNR) detection of objects with high angular velocities, resulting in long and faint object trails, or streaks, in the optical images. The currently available, mature image processing algorithms for detection and astrometric reduction of optical data cover objects that cross the sensor field-of-view comparably slowly, and, particularly for satellites, within a rather narrow, predefined range of angular velocities. By applying specific tracking techniques, the objects appear point-like or as short trails in the exposures. However, the general survey scenario is always a 'track-before-detect' problem, resulting in streaks of arbitrary lengths. Although some considerations for low-SNR processing of streak-like features are available in the current image processing and computer vision literature, algorithms are not readily available yet. In the ESA-funded StreakDet (Streak detection and astrometric reduction) project, we develop and evaluate an automated processing pipeline applicable to single images (as compared to consecutive frames of the same field) obtained with any observing scenario, including space-based surveys and both low- and high-altitude populations. The algorithmic

  7. Reliability analysis of pipelines under H2S environment as a part of ageing management

    International Nuclear Information System (INIS)

    Santosh; Vinod, Gopika; Saraf, R.K.; Ghosh, A.K.; Kushwaha, H.S.

    2006-01-01

    Ageing management programme in a plant calls for the estimation of remaining life of the component. Reliability analysis methods using remaining life estimation models have found profound application in providing directives in ageing management programme. As a part of ageing management programme of H 2 S based heavy water plants, the remaining life estimation models are applied to the pipelines carrying H 2 S. The pipelines under H 2 S environment are more susceptible to the internal corrosion thereby reducing the pipeline's load carrying capacity. The objective of this study is to obtain the remaining life of pipelines under ageing due to internal corrosion. The ageing assessment of pipelines involves estimating the failure pressure of a pipeline and evaluating the failure surface equation. Several failure pressure models developed for assessing the pipeline's remaining strength due to internal corrosion were studied for this purpose. From the study, it was found that the modified B31G failure pressure model is most suitable for modeling the pipeline failure pressure. Due to the presence of non-linearity in the failure surface equation or limit state function and non-normal variables, the first order second moment method has been employed for carrying out the reliability analysis. The uncertainties of the random variables on which the limit state function depends are modeled using the probability distributions. The failure probabilities of the pipelines have been evaluated for the service lives of 15 and 25 years, which are the present life and designed life respectively. In addition, sensitivity analysis was carried out to identify the most important sensitive parameters in reliability analysis estimation. The paper highlights the application of these methodologies in the context of pipeline remaining life estimation with a suitable case study. (author)

  8. Analysis of vibration of exhaust valve pipeline in nuclear power plant

    International Nuclear Information System (INIS)

    Tan Ping

    2005-01-01

    Pipeline system for conveying pressurized steam often operates under time-varying conditions due to the valve operations. This may cause vibration problems as a result the pipeline system suffered vibration damage. In this paper, a finite element formulation for the exhaust dynamic equations that include the effect of all pipe supports, and hangers is introduced and applied to the dynamic analysis of the pipeline system used in a nuclear power plant. the vibration response of steam-conveying pipeline induced by valve exhaust has been studied. The model is validated with a fieldwork experimental pipeline system. the mechanical vibrations from steam exhaust valves can be eliminated by careful design of the valve plug and seat. (authors)

  9. Assessment of pipeline stability in the Gulf of Mexico during hurricanes using dynamic analysis

    Directory of Open Access Journals (Sweden)

    Yinghui Tian

    2015-03-01

    Full Text Available Pipelines are the critical link between major offshore oil and gas developments and the mainland. Any inadequate on-bottom stability design could result in disruption and failure, having a devastating impact on the economy and environment. Predicting the stability behavior of offshore pipelines in hurricanes is therefore vital to the assessment of both new design and existing assets. The Gulf of Mexico has a very dense network of pipeline systems constructed on the seabed. During the last two decades, the Gulf of Mexico has experienced a series of strong hurricanes, which have destroyed, disrupted and destabilized many pipelines. This paper first reviews some of these engineering cases. Following that, three case studies are retrospectively simulated using an in-house developed program. The study utilizes the offshore pipeline and hurricane details to conduct a Dynamic Lateral Stability analysis, with the results providing evidence as to the accuracy of the modeling techniques developed.

  10. Oil and gas pipeline construction cost analysis and developing regression models for cost estimation

    Science.gov (United States)

    Thaduri, Ravi Kiran

    In this study, cost data for 180 pipelines and 136 compressor stations have been analyzed. On the basis of the distribution analysis, regression models have been developed. Material, Labor, ROW and miscellaneous costs make up the total cost of a pipeline construction. The pipelines are analyzed based on different pipeline lengths, diameter, location, pipeline volume and year of completion. In a pipeline construction, labor costs dominate the total costs with a share of about 40%. Multiple non-linear regression models are developed to estimate the component costs of pipelines for various cross-sectional areas, lengths and locations. The Compressor stations are analyzed based on the capacity, year of completion and location. Unlike the pipeline costs, material costs dominate the total costs in the construction of compressor station, with an average share of about 50.6%. Land costs have very little influence on the total costs. Similar regression models are developed to estimate the component costs of compressor station for various capacities and locations.

  11. Analysis of integrity and risk for onshore pipelines; Analise de integridade e risco para dutos onshore

    Energy Technology Data Exchange (ETDEWEB)

    Lima, Marco Aurelio [Det Norske Veritas (DNV), Rio de Janeiro, RJ (Brazil)

    2008-07-01

    The increasing expansion of the oil and gas industry in Brazil, the current legal requirements relating to security, health and environment in the industrial installations, is necessary that the companies, responsible by the operation of pipelines for oil and gas transport, adopt efficient techniques to assure the operational continuity of these of trustworthy form and insurance. To fulfill this important function it is important that the companies implement a management program to control and register the integrity of the pipelines during the all operational life cycle. Inside of this context of management of the integrity of pipelines, the DNV developed the software ORBIT Pipeline with the intention to serve as an important tool to monitor the technique and security condition of the pipeline, to define the frequency and content technician of the inspection program and to recommend the work of intervention or repair in pipeline when necessary. Additionally to these activities that are carried through directly in the ORBIT Pipeline, also an evaluation of the activity of third part and the land/soil movement is made inside of the systematic for analysis of integrity and risk for onshore pipelines performed by DNV. (author)

  12. A comprehensive probabilistic analysis model of oil pipelines network based on Bayesian network

    Science.gov (United States)

    Zhang, C.; Qin, T. X.; Jiang, B.; Huang, C.

    2018-02-01

    Oil pipelines network is one of the most important facilities of energy transportation. But oil pipelines network accident may result in serious disasters. Some analysis models for these accidents have been established mainly based on three methods, including event-tree, accident simulation and Bayesian network. Among these methods, Bayesian network is suitable for probabilistic analysis. But not all the important influencing factors are considered and the deployment rule of the factors has not been established. This paper proposed a probabilistic analysis model of oil pipelines network based on Bayesian network. Most of the important influencing factors, including the key environment condition and emergency response are considered in this model. Moreover, the paper also introduces a deployment rule for these factors. The model can be used in probabilistic analysis and sensitive analysis of oil pipelines network accident.

  13. Optimal Energy Consumption Analysis of Natural Gas Pipeline

    Science.gov (United States)

    Liu, Enbin; Li, Changjun; Yang, Yi

    2014-01-01

    There are many compressor stations along long-distance natural gas pipelines. Natural gas can be transported using different boot programs and import pressures, combined with temperature control parameters. Moreover, different transport methods have correspondingly different energy consumptions. At present, the operating parameters of many pipelines are determined empirically by dispatchers, resulting in high energy consumption. This practice does not abide by energy reduction policies. Therefore, based on a full understanding of the actual needs of pipeline companies, we introduce production unit consumption indicators to establish an objective function for achieving the goal of lowering energy consumption. By using a dynamic programming method for solving the model and preparing calculation software, we can ensure that the solution process is quick and efficient. Using established optimization methods, we analyzed the energy savings for the XQ gas pipeline. By optimizing the boot program, the import station pressure, and the temperature parameters, we achieved the optimal energy consumption. By comparison with the measured energy consumption, the pipeline now has the potential to reduce energy consumption by 11 to 16 percent. PMID:24955410

  14. Open Source Parallel Image Analysis and Machine Learning Pipeline, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — Continuum Analytics proposes a Python-based open-source data analysis machine learning pipeline toolkit for satellite data processing, weather and climate data...

  15. Reliability analysis of pipelines and pressure vessels at nuclear power plants

    International Nuclear Information System (INIS)

    Klemin, A.I.; Shiverskij, E.A.

    1979-01-01

    Reliability analysis of pipelines and pressure vessels at NPP is given. The main causes and failure mechanisms of these elements, the ways of reliability improvement and preventing of great damages are considered. The reliability estimation methods both according to the statistical operation data and under the conditions of absence of failure statistics are given. The main characteristics and actual reliability factors of pipelines and pressure vessels of three home NPP: the first in the world NPP, VK-50 and Beloyarsk NPP, are presented. From the start-up there were practically no failures of the pipelines and pressure vessels at the VK-50 pilot installation. The analysis of the operation experience of the first and second blocks of the Beloyarsk NPP, as well as the first in the world NPP, shows that the most part of failures of the pipelines and pressure vessels of these energy blocks with the channel reactors is connected with the coolant leakage at minority pipelines of a small diameter. The most part of failures at individual pipelines of the first and second blocks of the Beloyarsk NPP are connected with the leakages of stuffing boxes of switching off devices. It is noted that serious failures of large pipelines and pressure vessels at all home NPP under operation have not been observed

  16. Fatigue analysis of corroded pipelines subjected to pressure and temperature loadings

    International Nuclear Information System (INIS)

    Cunha, Divino J.S.; Benjamin, Adilson C.; Silva, Rita C.C.; Guerreiro, João N.C.; Drach, Patrícia R.C.

    2014-01-01

    In this paper a methodology for the fatigue analysis of pipelines containing corrosion defects is proposed. This methodology is based on the nominal stresses from a Global Analysis using a one-dimensional Finite Element (FE) model of the pipeline together with the application of stress concentration factors (SCFs). As the stresses may exceed the yielding limit in the corrosion defects, the methodology also adopts a strain-life approach (ε–N method) which is capable of producing less conservative fatigue lives than the stress-based methods. In addition the proposed methodology is applied in the assessment of the fatigue life of an onshore-hot pipeline containing corrosion pits and patches. Five corrosion pits and five corrosion patches with different sizes are considered. The corrosion defects are situated on the external surface of the pipeline base material. The SCFs are calculated using solid FE models and the fatigue analyses are performed for an out-of-phase/non-proportional (NP) biaxial stresses related to the combined loading (internal pressure and temperature) variations caused by an intermittent operation with hot heavy oil (start-up and shut-down). The results show that for buried pipelines subjected to cyclic combined loadings of internal pressure and temperature fatigue may become an important failure mode when corroded pipeline segments are left in operation without being replaced. -- Highlights: • An ε–N methodology for the fatigue life assessment of corroded pipelines is proposed. • The methodology includes: global analysis, stress amplification, and strain life calculation. • Different-size corrosion patches and pits on the external surface of the pipeline were analyzed. • It's shown that fatigue is a concern when corroded pipeline segments operate for many years

  17. A Parallel Software Pipeline for DMET Microarray Genotyping Data Analysis

    Directory of Open Access Journals (Sweden)

    Giuseppe Agapito

    2018-06-01

    Full Text Available Personalized medicine is an aspect of the P4 medicine (predictive, preventive, personalized and participatory based precisely on the customization of all medical characters of each subject. In personalized medicine, the development of medical treatments and drugs is tailored to the individual characteristics and needs of each subject, according to the study of diseases at different scales from genotype to phenotype scale. To make concrete the goal of personalized medicine, it is necessary to employ high-throughput methodologies such as Next Generation Sequencing (NGS, Genome-Wide Association Studies (GWAS, Mass Spectrometry or Microarrays, that are able to investigate a single disease from a broader perspective. A side effect of high-throughput methodologies is the massive amount of data produced for each single experiment, that poses several challenges (e.g., high execution time and required memory to bioinformatic software. Thus a main requirement of modern bioinformatic softwares, is the use of good software engineering methods and efficient programming techniques, able to face those challenges, that include the use of parallel programming and efficient and compact data structures. This paper presents the design and the experimentation of a comprehensive software pipeline, named microPipe, for the preprocessing, annotation and analysis of microarray-based Single Nucleotide Polymorphism (SNP genotyping data. A use case in pharmacogenomics is presented. The main advantages of using microPipe are: the reduction of errors that may happen when trying to make data compatible among different tools; the possibility to analyze in parallel huge datasets; the easy annotation and integration of data. microPipe is available under Creative Commons license, and is freely downloadable for academic and not-for-profit institutions.

  18. FEM analysis of impact of external objects to pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Gracie, Robert; Konuk, Ibrahim [Geological Survey of Canada, Ottawa, ON (Canada)]. E-mail: ikonuk@NRCan.gc.ca; Fredj, Abdelfettah [BMT Fleet Technology Limited, Ottawa, ON (Canada)

    2003-07-01

    One of the most common hazards to pipelines is impact of external objects. Earth moving machinery, farm equipment or bullets can dent or fail land pipelines. External objects such as anchors, fishing gear, ice can damage offshore pipelines. This paper develops an FEM model to simulate the impact process and presents investigations using the FEM model to determine the influence of the geometry and velocity of the impacting object and also will study the influence of the pipe diameter, wall thickness, and concrete thickness along with internal pressure. The FEM model is developed by using LS-DYNA explicit FEM software utilizing shell and solid elements. The model allows damage and removal of the concrete and corrosion coating elements during impact. Parametric studies will be presented relating the dent size to pipe diameter, wall thickness and concrete thickness, internal pipe pressure, and impacting object geometry. The primary objective of this paper is to develop and present the FEM model. The model can be applied to both offshore and land pipeline problems. Some examples are used to illustrate how the model can be applied to real life problems. A future paper will present more detailed parametric studies. (author)

  19. On the numerical stability analysis of pipelined Krylov subspace methods

    Czech Academy of Sciences Publication Activity Database

    Carson, E.T.; Rozložník, Miroslav; Strakoš, Z.; Tichý, P.; Tůma, M.

    submitted 2017 (2018) R&D Projects: GA ČR GA13-06684S Grant - others:GA MŠk(CZ) LL1202 Institutional support: RVO:67985807 Keywords : Krylov subspace methods * the conjugate gradient method * numerical stability * inexact computations * delay of convergence * maximal attainable accuracy * pipelined Krylov subspace methods * exascale computations

  20. Low-latency analysis pipeline for compact binary coalescences in the advanced gravitational wave detector era

    International Nuclear Information System (INIS)

    Adams, T; Buskulic, D; Germain, V; Marion, F; Mours, B; Guidi, G M; Montani, M; Piergiovanni, F; Wang, G

    2016-01-01

    The multi-band template analysis (MBTA) pipeline is a low-latency coincident analysis pipeline for the detection of gravitational waves (GWs) from compact binary coalescences. MBTA runs with a low computational cost, and can identify candidate GW events online with a sub-minute latency. The low computational running cost of MBTA also makes it useful for data quality studies. Events detected by MBTA online can be used to alert astronomical partners for electromagnetic follow-up. We outline the current status of MBTA and give details of recent pipeline upgrades and validation tests that were performed in preparation for the first advanced detector observing period. The MBTA pipeline is ready for the outset of the advanced detector era and the exciting prospects it will bring. (paper)

  1. Analysis of corrosion in petroleum pipeline by laser shearography

    International Nuclear Information System (INIS)

    Mohd Yusnisyam Yusof; Wan Saffiey Wan Abdullah; Khairul Anuar Mohd Salleh; Ahmad Nasruddin Ahmad Puad

    2008-08-01

    This paper aims at assessing of the corrosion defects in standard petroleum pipelines by using shearography method. Shearography technique reveals the stress-affected zone due to additional loading which utilized the laser speckle correlation on the subject inspected. In this study, the artificial corroded pipeline is modeled by different of corrosion depth and width. The pressure was subjected into the 7 mm thickness pipe wall to form an internal air pressure as the loading mechanism. The study shows that change of internal pressure is very effective mechanism to reveal corrosion activity in the pipe. The speckle correlation for corrosion of more than 3 mm depth with ΔP≤0.24 MPa can clearly be observed. For comparison the Radiography Technique is used to correlate the depth, size and shape of the corrosion and finally the location of corrosion area. (Author)

  2. Analysis of pipeline transportation systems for carbon dioxide sequestration

    Directory of Open Access Journals (Sweden)

    Witkowski Andrzej

    2014-03-01

    Full Text Available A commercially available ASPEN PLUS simulation using a pipe model was employed to determine the maximum safe pipeline distances to subsequent booster stations as a function of carbon dioxide (CO2 inlet pressure, ambient temperature and ground level heat flux parameters under three conditions: isothermal, adiabatic and with account of heat transfer. In the paper, the CO2 working area was assumed to be either in the liquid or in the supercritical state and results for these two states were compared. The following power station data were used: a 900 MW pulverized coal-fired power plant with 90% of CO2 recovered (156.43 kg/s and the monothanolamine absorption method for separating CO2 from flue gases. The results show that a subcooled liquid transport maximizes energy efficiency and minimizes the cost of CO2 transport over long distances under isothermal, adiabatic and heat transfer conditions. After CO2 is compressed and boosted to above 9 MPa, its temperature is usually higher than ambient temperature. The thermal insulation layer slows down the CO2 temperature decrease process, increasing the pressure drop in the pipeline. Therefore in Poland, considering the atmospheric conditions, the thermal insulation layer should not be laid on the external surface of the pipeline.

  3. Analysis of pipeline transportation systems for carbon dioxide sequestration

    Science.gov (United States)

    Witkowski, Andrzej; Majkut, Mirosław; Rulik, Sebastian

    2014-03-01

    A commercially available ASPEN PLUS simulation using a pipe model was employed to determine the maximum safe pipeline distances to subsequent booster stations as a function of carbon dioxide (CO2) inlet pressure, ambient temperature and ground level heat flux parameters under three conditions: isothermal, adiabatic and with account of heat transfer. In the paper, the CO2 working area was assumed to be either in the liquid or in the supercritical state and results for these two states were compared. The following power station data were used: a 900 MW pulverized coal-fired power plant with 90% of CO2 recovered (156.43 kg/s) and the monothanolamine absorption method for separating CO2 from flue gases. The results show that a subcooled liquid transport maximizes energy efficiency and minimizes the cost of CO2 transport over long distances under isothermal, adiabatic and heat transfer conditions. After CO2 is compressed and boosted to above 9 MPa, its temperature is usually higher than ambient temperature. The thermal insulation layer slows down the CO2 temperature decrease process, increasing the pressure drop in the pipeline. Therefore in Poland, considering the atmospheric conditions, the thermal insulation layer should not be laid on the external surface of the pipeline.

  4. Application of Demand Analysis in Marketing Continuing Education.

    Science.gov (United States)

    Waters, Elzberry, Jr.

    This study investigated the feasibility of applying economic demand analysis (especially elasticity of demand) in marketing George Washington University off-campus degree programs. In the case under study, a supplemental budget request had to be submitted to meet expenses incurred by an unforeseen increase in demand for graduate and undergraduate…

  5. Assessing the Utility of a Demand Assessment for Functional Analysis

    Science.gov (United States)

    Roscoe, Eileen M.; Rooker, Griffin W.; Pence, Sacha T.; Longworth, Lynlea J.

    2009-01-01

    We evaluated the utility of an assessment for identifying tasks for the functional analysis demand condition with 4 individuals who had been diagnosed with autism. During the demand assessment, a therapist presented a variety of tasks, and observers measured problem behavior and compliance to identify demands associated with low levels of…

  6. Integrated failure probability estimation based on structural integrity analysis and failure data: Natural gas pipeline case

    International Nuclear Information System (INIS)

    Dundulis, Gintautas; Žutautaitė, Inga; Janulionis, Remigijus; Ušpuras, Eugenijus; Rimkevičius, Sigitas; Eid, Mohamed

    2016-01-01

    In this paper, the authors present an approach as an overall framework for the estimation of the failure probability of pipelines based on: the results of the deterministic-probabilistic structural integrity analysis (taking into account loads, material properties, geometry, boundary conditions, crack size, and defected zone thickness), the corrosion rate, the number of defects and failure data (involved into the model via application of Bayesian method). The proposed approach is applied to estimate the failure probability of a selected part of the Lithuanian natural gas transmission network. The presented approach for the estimation of integrated failure probability is a combination of several different analyses allowing us to obtain: the critical crack's length and depth, the failure probability of the defected zone thickness, dependency of the failure probability on the age of the natural gas transmission pipeline. A model's uncertainty analysis and uncertainty propagation analysis are performed, as well. - Highlights: • Degradation mechanisms of natural gas transmission pipelines. • Fracture mechanic analysis of the pipe with crack. • Stress evaluation of the pipe with critical crack. • Deterministic-probabilistic structural integrity analysis of gas pipeline. • Integrated estimation of pipeline failure probability by Bayesian method.

  7. Magnetic Flux Leakage and Principal Component Analysis for metal loss approximation in a pipeline

    International Nuclear Information System (INIS)

    Ruiz, M; Mujica, L E; Quintero, M; Florez, J; Quintero, S

    2015-01-01

    Safety and reliability of hydrocarbon transportation pipelines represent a critical aspect for the Oil an Gas industry. Pipeline failures caused by corrosion, external agents, among others, can develop leaks or even rupture, which can negatively impact on population, natural environment, infrastructure and economy. It is imperative to have accurate inspection tools traveling through the pipeline to diagnose the integrity. In this way, over the last few years, different techniques under the concept of structural health monitoring (SHM) have continuously been in development.This work is based on a hybrid methodology that combines the Magnetic Flux Leakage (MFL) and Principal Components Analysis (PCA) approaches. The MFL technique induces a magnetic field in the pipeline's walls. The data are recorded by sensors measuring leakage magnetic field in segments with loss of metal, such as cracking, corrosion, among others. The data provide information of a pipeline with 15 years of operation approximately, which transports gas, has a diameter of 20 inches and a total length of 110 km (with several changes in the topography). On the other hand, PCA is a well-known technique that compresses the information and extracts the most relevant information facilitating the detection of damage in several structures. At this point, the goal of this work is to detect and localize critical loss of metal of a pipeline that are currently working. (paper)

  8. Magnetic Flux Leakage and Principal Component Analysis for metal loss approximation in a pipeline

    Science.gov (United States)

    Ruiz, M.; Mujica, L. E.; Quintero, M.; Florez, J.; Quintero, S.

    2015-07-01

    Safety and reliability of hydrocarbon transportation pipelines represent a critical aspect for the Oil an Gas industry. Pipeline failures caused by corrosion, external agents, among others, can develop leaks or even rupture, which can negatively impact on population, natural environment, infrastructure and economy. It is imperative to have accurate inspection tools traveling through the pipeline to diagnose the integrity. In this way, over the last few years, different techniques under the concept of structural health monitoring (SHM) have continuously been in development. This work is based on a hybrid methodology that combines the Magnetic Flux Leakage (MFL) and Principal Components Analysis (PCA) approaches. The MFL technique induces a magnetic field in the pipeline's walls. The data are recorded by sensors measuring leakage magnetic field in segments with loss of metal, such as cracking, corrosion, among others. The data provide information of a pipeline with 15 years of operation approximately, which transports gas, has a diameter of 20 inches and a total length of 110 km (with several changes in the topography). On the other hand, PCA is a well-known technique that compresses the information and extracts the most relevant information facilitating the detection of damage in several structures. At this point, the goal of this work is to detect and localize critical loss of metal of a pipeline that are currently working.

  9. Analysis of Facebook content demand patterns

    OpenAIRE

    Kihl, Maria; Larsson, Robin; Unnervik, Niclas; Haberkamm, Jolina; Arvidsson, Åke; Aurelius, Andreas

    2014-01-01

    Data volumes in communication networks increase rapidly. Further, usage of social network applications is very wide spread among users, and among these applications, Facebook is the most popular. In this paper, we analyse user demands patterns and content popularity of Facebook generated traffic. The data comes from residential users in two metropolitan access networks in Sweden, and we analyse more than 17 million images downloaded by almost 16,000 Facebook users. We show that the distributi...

  10. [Comparison of gut microbiotal compositional analysis of patients with irritable bowel syndrome through different bioinformatics pipelines].

    Science.gov (United States)

    Zhu, S W; Liu, Z J; Li, M; Zhu, H Q; Duan, L P

    2018-04-18

    To assess whether the same biological conclusion, diagnostic or curative effects regarding microbial composition of irritable bowel syndrome (IBS) patients could be reached through different bioinformatics pipelines, we used two common bioinformatics pipelines (Uparse V2.0 and Mothur V1.39.5)to analyze the same fecal microbial 16S rRNA high-throughput sequencing data. The two pipelines were used to analyze the diversity and richness of fecal microbial 16S rRNA high-throughput sequencing data of 27 samples, including 9 healthy controls (HC group), 9 diarrhea IBS patients before (IBS group) and after Rifaximin treatment (IBS-treatment, IBSt group). Analyses such as microbial diversity, principal co-ordinates analysis (PCoA), nonmetric multidimensional scaling (NMDS) and linear discriminant analysis effect size (LEfSe) were used to find out the microbial differences among HC group vs. IBS group and IBS group vs. IBSt group. (1) Microbial composition comparison of the 27 samples in the two pipelines showed significant variations at both family and genera levels while no significant variations at phylum level; (2) There was no significant difference in the comparison of HC vs. IBS or IBS vs. IBSt (Uparse: HC vs. IBS, F=0.98, P=0.445; IBS vs. IBSt, F=0.47,P=0.926; Mothur: HC vs.IBS, F=0.82, P=0.646; IBS vs. IBSt, F=0.37, P=0.961). The Shannon index was significantly decreased in IBSt; (3) Both workshops distinguished the significantly enriched genera between HC and IBS groups. For example, Nitrosomonas and Paraprevotella increased while Pseudoalteromonadaceae and Anaerotruncus decreased in HC group through Uparse pipeline, nevertheless Roseburia 62 increased while Butyricicoccus and Moraxellaceae decreased in HC group through Mothur pipeline.Only Uparse pipeline could pick out significant genera between IBS and IBSt, such as Pseudobutyricibrio, Clostridiaceae 1 and Clostridiumsensustricto 1. There were taxonomic and phylogenetic diversity differences between the two

  11. Risk Analysis on Leakage Failure of Natural Gas Pipelines by Fuzzy Bayesian Network with a Bow-Tie Model

    OpenAIRE

    Shan, Xian; Liu, Kang; Sun, Pei-Liang

    2017-01-01

    Pipeline is the major mode of natural gas transportation. Leakage of natural gas pipelines may cause explosions and fires, resulting in casualties, environmental damage, and material loss. Efficient risk analysis is of great significance for preventing and mitigating such potential accidents. The objective of this study is to present a practical risk assessment method based on Bow-tie model and Bayesian network for risk analysis of natural gas pipeline leakage. Firstly, identify the potential...

  12. A Panel Data Analysis of Electricity Demand in Pakistan

    OpenAIRE

    Azam Chaudhry

    2010-01-01

    This paper looks at the economy-wide demand and the firm level demand for electricity in Pakistan. The economy wide estimation of electricity demand uses panel data from 63 countries from 1998-2008, and finds that the elasticity of demand for electricity with respect to per capita income is approximately 0.69, which implies that a 1% increase in per capita income will lead to a 0.69% increase in the demand for electricity. The firm level analysis uses firm level data from the World Bank’s Ent...

  13. A de-novo-assembly-based Data Analysis Pipeline for Plant Obligate Parasite Metatranscriptomic Studies

    Directory of Open Access Journals (Sweden)

    Li Guo

    2016-07-01

    Full Text Available Current and emerging plant diseases caused by obligate parasitic microbes such as rusts, downy mildews, and powdery mildews threaten worldwide crop production and food safety. These obligate parasites are typically unculturable in the laboratory, posing technical challenges to characterize them at the genetic and genomic level. Here we have developed a data analysis pipeline integrating several bioinformatic software programs. This pipeline facilitates rapid gene discovery and expression analysis of a plant host and its obligate parasite simultaneously by next generation sequencing of mixed host and pathogen RNA (i.e. metatranscriptomics. We applied this pipeline to metatranscriptomic sequencing data of sweet basil (Ocimum basilicum and its obligate downy mildew parasite Peronospora belbahrii, both lacking a sequenced genome. Even with a single data point, we were able to identify both candidate host defense genes and pathogen virulence genes that are highly expressed during infection. This demonstrates the power of this pipeline for identifying genes important in host-pathogen interactions without prior genomic information for either the plant host or the obligate biotrophic pathogen. The simplicity of this pipeline makes it accessible to researchers with limited computational skills and applicable to metatranscriptomic data analysis in a wide range of plant-obligate-parasite systems.

  14. FMAP: Functional Mapping and Analysis Pipeline for metagenomics and metatranscriptomics studies.

    Science.gov (United States)

    Kim, Jiwoong; Kim, Min Soo; Koh, Andrew Y; Xie, Yang; Zhan, Xiaowei

    2016-10-10

    Given the lack of a complete and comprehensive library of microbial reference genomes, determining the functional profile of diverse microbial communities is challenging. The available functional analysis pipelines lack several key features: (i) an integrated alignment tool, (ii) operon-level analysis, and (iii) the ability to process large datasets. Here we introduce our open-sourced, stand-alone functional analysis pipeline for analyzing whole metagenomic and metatranscriptomic sequencing data, FMAP (Functional Mapping and Analysis Pipeline). FMAP performs alignment, gene family abundance calculations, and statistical analysis (three levels of analyses are provided: differentially-abundant genes, operons and pathways). The resulting output can be easily visualized with heatmaps and functional pathway diagrams. FMAP functional predictions are consistent with currently available functional analysis pipelines. FMAP is a comprehensive tool for providing functional analysis of metagenomic/metatranscriptomic sequencing data. With the added features of integrated alignment, operon-level analysis, and the ability to process large datasets, FMAP will be a valuable addition to the currently available functional analysis toolbox. We believe that this software will be of great value to the wider biology and bioinformatics communities.

  15. Inverse Transient Analysis for Classification of Wall Thickness Variations in Pipelines

    Directory of Open Access Journals (Sweden)

    Jeffrey Tuck

    2013-12-01

    Full Text Available Analysis of transient fluid pressure signals has been investigated as an alternative method of fault detection in pipeline systems and has shown promise in both laboratory and field trials. The advantage of the method is that it can potentially provide a fast and cost effective means of locating faults such as leaks, blockages and pipeline wall degradation within a pipeline while the system remains fully operational. The only requirement is that high speed pressure sensors are placed in contact with the fluid. Further development of the method requires detailed numerical models and enhanced understanding of transient flow within a pipeline where variations in pipeline condition and geometry occur. One such variation commonly encountered is the degradation or thinning of pipe walls, which can increase the susceptible of a pipeline to leak development. This paper aims to improve transient-based fault detection methods by investigating how changes in pipe wall thickness will affect the transient behaviour of a system; this is done through the analysis of laboratory experiments. The laboratory experiments are carried out on a stainless steel pipeline of constant outside diameter, into which a pipe section of variable wall thickness is inserted. In order to detect the location and severity of these changes in wall conditions within the laboratory system an inverse transient analysis procedure is employed which considers independent variations in wavespeed and diameter. Inverse transient analyses are carried out using a genetic algorithm optimisation routine to match the response from a one-dimensional method of characteristics transient model to the experimental time domain pressure responses. The accuracy of the detection technique is evaluated and benefits associated with various simplifying assumptions and simulation run times are investigated. It is found that for the case investigated, changes in the wavespeed and nominal diameter of the

  16. Inverse Transient Analysis for Classification of Wall Thickness Variations in Pipelines

    Science.gov (United States)

    Tuck, Jeffrey; Lee, Pedro

    2013-01-01

    Analysis of transient fluid pressure signals has been investigated as an alternative method of fault detection in pipeline systems and has shown promise in both laboratory and field trials. The advantage of the method is that it can potentially provide a fast and cost effective means of locating faults such as leaks, blockages and pipeline wall degradation within a pipeline while the system remains fully operational. The only requirement is that high speed pressure sensors are placed in contact with the fluid. Further development of the method requires detailed numerical models and enhanced understanding of transient flow within a pipeline where variations in pipeline condition and geometry occur. One such variation commonly encountered is the degradation or thinning of pipe walls, which can increase the susceptible of a pipeline to leak development. This paper aims to improve transient-based fault detection methods by investigating how changes in pipe wall thickness will affect the transient behaviour of a system; this is done through the analysis of laboratory experiments. The laboratory experiments are carried out on a stainless steel pipeline of constant outside diameter, into which a pipe section of variable wall thickness is inserted. In order to detect the location and severity of these changes in wall conditions within the laboratory system an inverse transient analysis procedure is employed which considers independent variations in wavespeed and diameter. Inverse transient analyses are carried out using a genetic algorithm optimisation routine to match the response from a one-dimensional method of characteristics transient model to the experimental time domain pressure responses. The accuracy of the detection technique is evaluated and benefits associated with various simplifying assumptions and simulation run times are investigated. It is found that for the case investigated, changes in the wavespeed and nominal diameter of the pipeline are both important

  17. Comparison of Soil Models in the Thermodynamic Analysis of a Submarine Pipeline Buried in Seabed Sediments

    Directory of Open Access Journals (Sweden)

    Magda Waldemar

    2017-12-01

    Full Text Available This paper deals with mathematical modelling of a seabed layer in the thermodynamic analysis of a submarine pipeline buried in seabed sediments. The existing seabed soil models: a “soil ring” and a semi-infinite soil layer are discussed in a comparative analysis of the shape factor of a surrounding soil layer. The meaning of differences in the heat transfer coefficient of a soil layer is illustrated based on a computational example of the longitudinal temperaturę profile of a -kilometer long crude oil pipeline buried in seabed sediments.

  18. Comprehensive analysis of pipeline transportation systems for CO2 sequestration. Thermodynamics and safety problems

    International Nuclear Information System (INIS)

    Witkowski, Andrzej; Rusin, Andrzej; Majkut, Mirosław; Rulik, Sebastian; Stolecka, Katarzyna

    2013-01-01

    Highlights: • Comprehensive analysis of the efficiency and safety strategies of transport CO 2 . • Selection of safety zones around pipelines transporting CO 2 . • Optimization of CO 2 pipeline transportation conditions. - Abstract: The aim of this paper is to analyze CO 2 compression and transportation processes with safety issues for post-combustion CO 2 capture applications for basic technological concepts of a 900 MW pulverized coal-fired power plant. Four various types of compressors including a conventional multistage centrifugal compressor, an integrally geared centrifugal compressor, a supersonic shock wave compressor, and pump machines were used. This study emphasizes that total compression power is a strong function of the thermodynamic process and is not only determined by the compressor efficiency. The compressor increases the CO 2 pressure from normal pressure to critical pressure and the boosting pump continues to increase the pressure to the required pressure for the pipeline inlet. Another problem analyzed in this study is the transport of CO 2 by pipeline from the compressor outlet site to the disposal site under heat transfer conditions. Simulations were made to determine maximum safe pipeline distance to subsequent booster stations depending on inlet pressure, environmental temperature, the thermal insulation thickness and the ground level heat transfer conditions. From the point of view of environmental protection, the most important problem is to identify the hazards which indirectly affect CO 2 transportation in a strict and reliable manner. This identification is essential for effective hazard management. A failure of pipelines is usually caused by corrosion, material defects, ground movement or third party interference. After the rupture of the pipeline transporting liquid CO 2 , a large pressure drop will occur. The pressure will continue to fall until the liquid becomes a mixture of saturated vapour/liquid. In the vicinity of the

  19. Failure analysis of natural gas buried X65 steel pipeline under deflection load using finite element method

    International Nuclear Information System (INIS)

    Liu, P.F.; Zheng, J.Y.; Zhang, B.J.; Shi, P.

    2010-01-01

    A 3D parametric finite element model of the pipeline and soil is established using finite element method to perform the failure analysis of natural gas buried X65 steel pipeline under deflection load. The pipeline is assumed to be loaded in a parabolic deflection displacement along the axial direction. Based on the true stress-strain constitutive relationship of X65 steel, the elastic-plastic finite element analysis employs the arc-length algorithm and non-linear stabilization algorithm respectively to simulate the strain softening properties of pipeline after plastic collapse. Besides, effects of the soil types and model sizes on the maximum deflection displacement of pipeline are investigated. The proposed finite element method serves as a base available for the safety design and evaluation as well as engineering acceptance criterion for the failure of pipeline due to deflection.

  20. Sensitivity analysis of energy demands on performance of CCHP system

    International Nuclear Information System (INIS)

    Li, C.Z.; Shi, Y.M.; Huang, X.H.

    2008-01-01

    Sensitivity analysis of energy demands is carried out in this paper to study their influence on performance of CCHP system. Energy demand is a very important and complex factor in the optimization model of CCHP system. Average, uncertainty and historical peaks are adopted to describe energy demands. The mix-integer nonlinear programming model (MINLP) which can reflect the three aspects of energy demands is established. Numerical studies are carried out based on energy demands of a hotel and a hospital. The influence of average, uncertainty and peaks of energy demands on optimal facility scheme and economic advantages of CCHP system are investigated. The optimization results show that the optimal GT's capacity and economy of CCHP system mainly lie on the average energy demands. Sum of capacities of GB and HE is equal to historical heating demand peaks, and sum of capacities of AR and ER are equal to historical cooling demand peaks. Maximum of PG is sensitive with historical peaks of energy demands and not influenced by uncertainty of energy demands, while the corresponding influence on DH is adverse

  1. Estimating demand schedules in hedonic analysis

    DEFF Research Database (Denmark)

    Panduro, Toke Emil; Jensen, Cathrine Ulla; Lundhede, Thomas

    The hedonic pricing method has been used extensively to obtain implicit prices for availability of urban green space, but few hedonic studies have obtained households’ preference parameters. We estimate willingness to pay functions for park availability in Copenhagen using an approach that places...... identifying restrictions on the utility function. We do this for two different measures of park availability. We apply our results to a policy scenario and show how estimates of aggregate welfare changes are highly sensitive to the measure of park availability applied. Thus, the approach in this study applies...... an alternative path for estimation of demand schedules for public goods using hedonic data. The findings also stress the importance of paying attention to how public goods are defined when undertaking welfare economic policy analyses....

  2. Risk analysis of urban gas pipeline network based on improved bow-tie model

    Science.gov (United States)

    Hao, M. J.; You, Q. J.; Yue, Z.

    2017-11-01

    Gas pipeline network is a major hazard source in urban areas. In the event of an accident, there could be grave consequences. In order to understand more clearly the causes and consequences of gas pipeline network accidents, and to develop prevention and mitigation measures, the author puts forward the application of improved bow-tie model to analyze risks of urban gas pipeline network. The improved bow-tie model analyzes accident causes from four aspects: human, materials, environment and management; it also analyzes the consequences from four aspects: casualty, property loss, environment and society. Then it quantifies the causes and consequences. Risk identification, risk analysis, risk assessment, risk control, and risk management will be clearly shown in the model figures. Then it can suggest prevention and mitigation measures accordingly to help reduce accident rate of gas pipeline network. The results show that the whole process of an accident can be visually investigated using the bow-tie model. It can also provide reasons for and predict consequences of an unfortunate event. It is of great significance in order to analyze leakage failure of gas pipeline network.

  3. The PREP Pipeline: Standardized preprocessing for large-scale EEG analysis

    Directory of Open Access Journals (Sweden)

    Nima eBigdelys Shamlo

    2015-06-01

    Full Text Available The technology to collect brain imaging and physiological measures has become portable and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging. By its nature, such data is large and complex, making automated processing essential. This paper shows how lack of attention to the very early stages of an EEG preprocessing pipeline can reduce the signal-to-noise ratio and introduce unwanted artifacts into the data, particularly for computations done in single precision. We demonstrate that ordinary average referencing improves the signal-to-noise ratio, but that noisy channels can contaminate the results. We also show that identification of noisy channels depends on the reference and examine the complex interaction of filtering, noisy channel identification, and referencing. We introduce a multi-stage robust referencing scheme to deal with the noisy channel-reference interaction. We propose a standardized early-stage EEG processing pipeline (PREP and discuss the application of the pipeline to more than 600 EEG datasets. The pipeline includes an automatically generated report for each dataset processed. Users can download the PREP pipeline as a freely available MATLAB library from http://eegstudy.org/prepcode/.

  4. Pipeline monitoring using acoustic principal component analysis recognition with the Mel scale

    International Nuclear Information System (INIS)

    Wan, Chunfeng; Mita, Akira

    2009-01-01

    In modern cities, many important pipelines are laid underground. In order to prevent these lifeline infrastructures from accidental damage, monitoring systems are becoming indispensable. Third party activities were shown by recent reports to be a major cause of pipeline damage. Potential damage threat to the pipeline can be identified by detecting dangerous construction equipment nearby by studying the surrounding noise. Sound recognition technologies are used to identify them by their sounds, which can easily be captured by small sensors deployed along the pipelines. Pattern classification methods based on principal component analysis (PCA) were used to recognize the sounds from road cutters. In this paper, a Mel residual, i.e. the PCA residual in the Mel scale, is proposed to be the recognition feature. Determining if a captured sound belongs to a road cutter only requires checking how large its Mel residual is. Experiments were conducted and results showed that the proposed Mel-residual-based PCA recognition worked very well. The proposed Mel PCA residual recognition method will be very useful for pipeline monitoring systems to prevent accidental breakage and to ensure the safety of underground lifeline infrastructures

  5. The PREP pipeline: standardized preprocessing for large-scale EEG analysis.

    Science.gov (United States)

    Bigdely-Shamlo, Nima; Mullen, Tim; Kothe, Christian; Su, Kyung-Min; Robbins, Kay A

    2015-01-01

    The technology to collect brain imaging and physiological measures has become portable and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging. By its nature, such data is large and complex, making automated processing essential. This paper shows how lack of attention to the very early stages of an EEG preprocessing pipeline can reduce the signal-to-noise ratio and introduce unwanted artifacts into the data, particularly for computations done in single precision. We demonstrate that ordinary average referencing improves the signal-to-noise ratio, but that noisy channels can contaminate the results. We also show that identification of noisy channels depends on the reference and examine the complex interaction of filtering, noisy channel identification, and referencing. We introduce a multi-stage robust referencing scheme to deal with the noisy channel-reference interaction. We propose a standardized early-stage EEG processing pipeline (PREP) and discuss the application of the pipeline to more than 600 EEG datasets. The pipeline includes an automatically generated report for each dataset processed. Users can download the PREP pipeline as a freely available MATLAB library from http://eegstudy.org/prepcode.

  6. Location estimation method of steam leak in pipeline using leakage area analysis

    International Nuclear Information System (INIS)

    Kim, Se Oh; Jeon, Hyeong Seop; Son, Ki Sung; Park, Jong Won

    2016-01-01

    It is important to have a pipeline leak-detection system that determines the presence of a leak and quickly identifies its location. Current leak detection methods use a acoustic emission sensors, microphone arrays, and camera images. Recently, many researchers have been focusing on using cameras for detecting leaks. The advantage of this method is that it can survey a wide area and monitor a pipeline over a long distance. However, conventional methods using camera monitoring are unable to target an exact leak location. In this paper, we propose a method of detecting leak locations using leak-detection results combined with multi-frame analysis. The proposed method is verified by experiment

  7. Location estimation method of steam leak in pipeline using leakage area analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Se Oh; Jeon, Hyeong Seop; Son, Ki Sung [Sae An Engineering Corp., Seoul (Korea, Republic of); Park, Jong Won [Dept. of Information Communications Engineering, Chungnam National University, Daejeon (Korea, Republic of)

    2016-10-15

    It is important to have a pipeline leak-detection system that determines the presence of a leak and quickly identifies its location. Current leak detection methods use a acoustic emission sensors, microphone arrays, and camera images. Recently, many researchers have been focusing on using cameras for detecting leaks. The advantage of this method is that it can survey a wide area and monitor a pipeline over a long distance. However, conventional methods using camera monitoring are unable to target an exact leak location. In this paper, we propose a method of detecting leak locations using leak-detection results combined with multi-frame analysis. The proposed method is verified by experiment.

  8. Nonlinear Modeling and Analysis of Pressure Wave inside CEUP Fuel Pipeline

    Directory of Open Access Journals (Sweden)

    Qaisar Hayat

    2014-01-01

    Full Text Available Operating conditions dependent large pressure variations are one of the working characteristics of combination electronic unit pump (CEUP fuel injection system for diesel engines. We propose a precise and accurate nonlinear numerical model of pressure inside HP fuel pipeline of CEUP using wave equation (WE including both viscous and frequency dependent frictions. We have proved that developed hyperbolic approximation gives more realistic description of pressure wave as compared to classical viscous damped wave equation. Frictional effects of various frequencies on pressure wave have been averaged out across valid frequencies to represent the combined effect of all frequencies on pressure wave. Dynamic variations of key fuel properties including density, acoustic wave speed, and bulk modulus with varying pressures have also been incorporated. Based on developed model we present analysis on effect of fuel pipeline length on pressure wave propagation and variation of key fuel properties with both conventional diesel and alternate fuel rapeseed methyl ester (RME for CEUP pipeline.

  9. Nord stream: not just a pipeline. An analysis of the political debates in the Baltic Sea region regarding the planned gas pipeline from Russia to Germany

    Energy Technology Data Exchange (ETDEWEB)

    Whist, Bendik Solum

    2008-11-15

    This report is an analysis of the planned gas pipeline from Russia to Germany through the Baltic Sea known as Nord Stream. Although not yet realised, the project has, since its birth, been the subject of harsh criticism and opposition by a significant number of states that consider themselves affected by the pipeline. Whereas the Baltic States and Poland have interpreted the pipeline as a politically motivated strategy that will increase Russia's leverage on them and threaten their energy security, the debate in Sweden was at first mostly concerned with the prospect of increased Russian military presence in the Swedish Exclusive Economic Zone. The potential environmental impact of the pipeline has been, and continues to be, an overarching concern shared by all the littoral states of the Baltic Sea. Proponents of Nord Stream, most notably Germany, Russia and the Nord Stream consortium, have largely dismissed the concerns as unwarranted and argue that the pipeline is a common European project that all EU-members should embrace, as it will provide much-needed gas to an increasingly energy-thirsty union. This report is an extensive study of the divergent attitudes and debates that have surged in the region regarding Nord Stream, and the aim is to provide plausible explanations as to why the interpretations of the project have been so different in the various states. The report is based on a variety of sources, including several first-hand interviews with researchers and government officials in the Baltic Sea region. (author). refs.,fig.,tabs

  10. Metallurgical analysis of high pressure gas pipelines rupture

    International Nuclear Information System (INIS)

    Hasan, F.; Ahmed, F.

    2007-01-01

    On 6 July 2004, two parallel-running gas pipelines (18-inch and 24-inch diameters), in the main transmission network of SNGPL (a gas company in Pakistan) were ruptured. The ruptures occurred in the early hours of the morning about 8 miles downstream of the compressor station AC-4. The ruptures were indicated by the increased gas flow at the outlet of AC-4 (1), first at about 0648 hours and then again about 20 minutes later. The gas escaping from the ruptured lines had caught fire, and the flames had also 'affected' a third parallel-running pipeline of 30-inch diameter, lying next to the 24-inch line. The metallurgical examination of the two ruptured lines showed that the 24-inch line was ruptured with the help of an explosive device that had been placed on the underside of the pipe. An examination of the 18-inch line showed that this pipe had failed as a result of the heating of the pipe-wall, presumably, by the flame emanating from the 24-inch line. These two observations clearly suggested that the 24-inch line was the first to rupture (by explosives), and the fire following this rupture had heated the 18-inch pipe to a temperature where its yield strength was unable to support the inside gas pressure. The 20 minutes time interval between the two ruptures was obviously the time taken by the 18 inch pipe to be heated upto the level where it started to yield. The 30-inch line lying next to the 24-inch line was affected to the extent that its coating had been burnt-off over a length of about 40-50 feet. However, the pipe did not exhibit any signs of deshaping or deformation what-so-ever. A replica metallographic examination indicated that the microstructure of the pipe was not measurably affected by the heat. It was thus decided not to replace the affected part of the 30-inch pipe, but only to re-coat this affected portion. (author)

  11. A root cause analysis approach to risk assessment of a pipeline network for Kuwait Oil Company

    Energy Technology Data Exchange (ETDEWEB)

    Davies, Ray J.; Alfano, Tony D. [Det Norske Veritas (DNV), Rio de Janeiro, RJ (Brazil); Waheed, Farrukh [Kuwait Oil Company, Ahmadi (Kuwait); Komulainen, Tiina [Kongsberg Oil and Gas Technologies, Sandvika (Norway)

    2009-07-01

    A large scale risk assessment was performed by Det Norske Veritas (DNV) for the entire Kuwait Oil Company (KOC) pipeline network. This risk assessment was unique in that it incorporated the assessment of all major sources of process related risk faced by KOC and included root cause management system related risks in addition to technical risks related to more immediate causes. The assessment was conducted across the entire pipeline network with the scope divided into three major categories:1. Integrity Management 2. Operations 3. Management Systems Aspects of integrity management were ranked and prioritized using a custom algorithm based on critical data sets. A detailed quantitative risk assessment was then used to further evaluate those issues deemed unacceptable, and finally a cost benefit analysis approach was used to compare and select improvement options. The operations assessment involved computer modeling of the entire pipeline network to assess for bottlenecks, surge and erosion analysis, and to identify opportunities within the network that could potentially lead to increased production. The management system assessment was performed by conducting a gap analysis on the existing system and by prioritizing those improvement actions that best aligned with KOC's strategic goals for pipelines. Using a broad and three-pronged approach to their overall risk assessment, KOC achieved a thorough, root cause analysis-based understanding of risks to their system as well as a detailed list of recommended remediation measures that were merged into a 5-year improvement plan. (author)

  12. ANALISIS PERMINTAAN (DEMAND ANALYSIS PELAYANAN KESEHATAN PUSKESMAS DI KABUPATEN MOJOKERTO

    Directory of Open Access Journals (Sweden)

    Wasis Budiarto

    2012-09-01

    Full Text Available A study on demand for health centre was carried out at Mojokerto Regency, East Java. The study convered 300 respondents (15 years old and over which were collected from two areas, urban (Kecamatan Bangsal and rural (Kecamatan Puri. The objectives of this study were to measure the demand for health centre services and to determine the influencing factors. A household survey was conducted in this study, using household and individual as unit of analysis and a multiple linier regression technique was used as analysis. In general, the result showed that needs were the most important factor affecting demand. In the urban health centres positive factor affecting individual demand were distance, family size and need, however in the rural health centre were cost, time and need were factors affecting demand. Factors affecting family demand for health services is different from individual demand. In urban and rural areas, family demand for health center was substitute alternative of the demand for the phycisian services.

  13. A bootstrap based analysis pipeline for efficient classification of phylogenetically related animal miRNAs

    Directory of Open Access Journals (Sweden)

    Gu Xun

    2007-03-01

    Full Text Available Abstract Background Phylogenetically related miRNAs (miRNA families convey important information of the function and evolution of miRNAs. Due to the special sequence features of miRNAs, pair-wise sequence identity between miRNA precursors alone is often inadequate for unequivocally judging the phylogenetic relationships between miRNAs. Most of the current methods for miRNA classification rely heavily on manual inspection and lack measurements of the reliability of the results. Results In this study, we designed an analysis pipeline (the Phylogeny-Bootstrap-Cluster (PBC pipeline to identify miRNA families based on branch stability in the bootstrap trees derived from overlapping genome-wide miRNA sequence sets. We tested the PBC analysis pipeline with the miRNAs from six animal species, H. sapiens, M. musculus, G. gallus, D. rerio, D. melanogaster, and C. elegans. The resulting classification was compared with the miRNA families defined in miRBase. The two classifications were largely consistent. Conclusion The PBC analysis pipeline is an efficient method for classifying large numbers of heterogeneous miRNA sequences. It requires minimum human involvement and provides measurements of the reliability of the classification results.

  14. Demand analysis and design about NDPDMS

    International Nuclear Information System (INIS)

    Gao Yanfeng; Qian Bing; Wu Jianlei; Zhang Yishu; Shi Wenbin

    1997-01-01

    The authors give a simple introduction to Nuclear Power Engineering Database Plan and Development Management System (NDPDMS), including functions explanation, relations of subsystems, the interface of the system and other applications, etc. The system analysis, conceptual design and logic design are briefed

  15. Uruguay Energy Supply Options Study: a Detailed Multi-Sector Integrated Energy Supply and Demand Analysis

    International Nuclear Information System (INIS)

    Conzelmann, G.; Veselka, T.

    1997-01-01

    Uruguay is in the middle of making critical decisions affecting the design of its future energy supply system.Momentum for change is expected to come from several directions including recent and foreseeable upgrades and modifications to energy conversion facilities, the importation of natural gas from Argentina, the possibility for a stronger interconnection of regional electricity systems, the country s membership in MERCOSUR, and the potential for energy sector reforms by the Government of Uruguay.The objective of this study is to analyze the effects of several fuel diversification strategies on Uruguay s energy supply system.The analysis pays special attention to fuel substitution trends due to potential imports of natural gas via a gas pipeline from Argentina and increasing electricity ties with neighboring countries.The Government of Uruguay contracted Argonne National Laboratory (ANL) to study several energy development scenario ns with the support of several Uruguayan Institutions.Specifically, ANL was asked to conduct a detailed energy supply and demand analysis, develop energy demand projections based on an analysis of past energy demand patterns with support from local institutions, evaluate the effects of potential natural gas imports and electricity exchanges, and determine the market penetration of natural gas under various scenarios

  16. Analysis of energy and utility service demands

    Energy Technology Data Exchange (ETDEWEB)

    1978-10-01

    The collection, analysis, and review of existing data on a community's service requirements are documented. The research focused on the analysis of energy-using activities including both micro activities such as space heating, cooking, lighting, and transportation; and macro activities such as providing shelter, health care, education, etc. The technical report describes the analytical framework developed for community description; describes an indexing system by which a catalog of services can be accessed; illustrates the application of the data to an existing community; and provides ancillary information on data availability. A catalog of data is presented which includes several sets of indices which facilitate access of data using various keys. Abstracts of 48 data sources are analyzed. Each abstract includes a description and evaluation of the data, a sampling of that data, an assessment as to how that data may be applied to other analyses, and a reference where the user can secure additional data. (MCW)

  17. Risk analysis for construction and operation of gas pipeline projects in pakistan

    International Nuclear Information System (INIS)

    Mubin, S.; Mubin, G.

    2008-01-01

    In order to cater for its high energy demand, Pakistan is planning to import natural gas through pipelines from neighboring countries. For fully utilizing the imported gas, providing it to end customers, the infrastructure of gas pipeline needs to be developed. Therefore, huge investment has been done and proposed in this sector in coming future. Considering geological, topographical, geopolitical and climatic conditions of the country, there is added risk of earthquake, landslides and floods. Due to current geopolitical situation there is a persistent threat of unrest and terrorism in the country. Instable Government policies, high rate of inflation, rapid change in material prices are also important risk factors. All these factors make the situation very complex in quantifying the risk especially for a project in which the risk impact factor rises exponentially in case of risk occurrence. In this paper, most appropriate risk classification is made based on technological, organizational, political, natural climatic, security and environmental risk factors. Effort has been made to device a simpler risk management methodology to analyze and manage risks of gas pipeline project. In the proposed risk management model Monte Carlo simulation has been used to identify critical risks. (author)

  18. esATAC: An Easy-to-use Systematic pipeline for ATAC-seq data analysis.

    Science.gov (United States)

    Wei, Zheng; Zhang, Wei; Fang, Huan; Li, Yanda; Wang, Xiaowo

    2018-03-07

    ATAC-seq is rapidly emerging as one of the major experimental approaches to probe chromatin accessibility genome-wide. Here, we present "esATAC", a highly integrated easy-to-use R/Bioconductor package, for systematic ATAC-seq data analysis. It covers essential steps for full analyzing procedure, including raw data processing, quality control and downstream statistical analysis such as peak calling, enrichment analysis and transcription factor footprinting. esATAC supports one command line execution for preset pipelines, and provides flexible interfaces for building customized pipelines. esATAC package is open source under the GPL-3.0 license. It is implemented in R and C ++. Source code and binaries for Linux, MAC OS X and Windows are available through Bioconductor https://www.bioconductor.org/packages/release/bioc/html/esATAC.html). xwwang@tsinghua.edu.cn. Supplementary data are available at Bioinformatics online.

  19. ECONOMETRIC ANALYSIS OF CEREAL DEMAND IN MOROCCO USING THE ALMOST IDEAL DEMAND SYSTEM

    Directory of Open Access Journals (Sweden)

    Sara Essaten

    2018-04-01

    Full Text Available Following up the agricultural policy in Morocco and enforcing it, the new strategy Green Morocco Plan (GMP launched in 2008 also stressed on the cereals’ supply. Meantime, despite their significant nutritional role, little attention has been paid to the demand side. This paper intends to perform an econometric analysis of the demand of five main cereals - Common wheat, Durum wheat, Barley, Corn and Rice- using a linear version of the flexible Almost Ideal Demand System (LA/AIDS model. A Seemingly Unrelated Regression (SUR approach has been applied to the demand system equations with annual data covering the period from 1980 to 2015. At the overall, regular econometric restrictions (stability, structural separability, validity, etc. have been respected our results suggest that the relations of complementarity or substitution are not determining in the cereal bundle in Morocco. Also, the Moroccan consumer behavior is characterized by a strong sensibility towards common wheat price’s changes and by a difficult access for the durum wheat as it is considered as luxury good.

  20. Analisis Permintaan (Demand Analysis) Pelayanan Kesehatan Puskesmas di Kabupaten Mojokerto

    OpenAIRE

    Budiarto, Wasis

    1996-01-01

    A study on demand for health centre was carried out at Mojokerto Regency, East Java. The study convered 300 respondents (15 years old and over) which were collected from two areas, urban (Kecamatan Bangsal) and rural (Kecamatan Puri). The objectives of this study were to measure the demand for health centre services and to determine the influencing factors. A household survey was conducted in this study, using household and individual as unit of analysis and a multiple linier regression techn...

  1. Sensitivity Analysis Of Financing Demand In Syariah Banking

    Directory of Open Access Journals (Sweden)

    DR. HJ. ROSYETTI

    2017-11-01

    Full Text Available This study aims to analyze the Sensitivity of Demand Financing in syariah banking with a focus on the elasticity of financing demand income elasticity and cross elasticity. The type of data used in this study is secondary data quantitative and time series obtained from the publication of BPS BI and OJK. The data analysis technique begins by estimating multiple linear regression equations using the Eviews Application further measuring the sensitivity using elasticity. The research variables consist of revenue gross domestic product and conventional bank interest rate as independent variables and demand for financing as a dependent variable. The results obtained for the results gross domestic product and interest rate of conventional banks simultaneously affect the demand for financing in Islamic banking with a significant level of 5 obtained probability value F statistic amp945 005. Partially revenue share and gross domestic product have a significant effect on demand for financing. While the variable interest rate of conventional banks partially does not have a significant effect on demand for financing in Islamic banking. The ability of the three independent variables to explain the dependent variable of 99.06 the rest of 0.04 influenced by other factors outside this study. The sensitive value of demand for financing in syariah banking during the observation period was 3.94 amp400P 1 so that it can be said that demand for financing in syariah banking is elastic. The elasticity of income demand for financing in syariah banking during the observation period of 3.08 amp400I 1 is categorized as luxuries goods. The cross elasticity value of financing demand in syariah banking during the observation period is 0.52 or positive amp400C 0 it can be categorized that the interest rate of a conventional bank is a substitute of profit sharing.

  2. Bridging ImmunoGenomic Data Analysis Workflow Gaps (BIGDAWG): An integrated case-control analysis pipeline.

    Science.gov (United States)

    Pappas, Derek J; Marin, Wesley; Hollenbach, Jill A; Mack, Steven J

    2016-03-01

    Bridging ImmunoGenomic Data-Analysis Workflow Gaps (BIGDAWG) is an integrated data-analysis pipeline designed for the standardized analysis of highly-polymorphic genetic data, specifically for the HLA and KIR genetic systems. Most modern genetic analysis programs are designed for the analysis of single nucleotide polymorphisms, but the highly polymorphic nature of HLA and KIR data require specialized methods of data analysis. BIGDAWG performs case-control data analyses of highly polymorphic genotype data characteristic of the HLA and KIR loci. BIGDAWG performs tests for Hardy-Weinberg equilibrium, calculates allele frequencies and bins low-frequency alleles for k×2 and 2×2 chi-squared tests, and calculates odds ratios, confidence intervals and p-values for each allele. When multi-locus genotype data are available, BIGDAWG estimates user-specified haplotypes and performs the same binning and statistical calculations for each haplotype. For the HLA loci, BIGDAWG performs the same analyses at the individual amino-acid level. Finally, BIGDAWG generates figures and tables for each of these comparisons. BIGDAWG obviates the error-prone reformatting needed to traffic data between multiple programs, and streamlines and standardizes the data-analysis process for case-control studies of highly polymorphic data. BIGDAWG has been implemented as the bigdawg R package and as a free web application at bigdawg.immunogenomics.org. Copyright © 2015 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.

  3. Porcupine : A visual pipeline tool for neuroimaging analysis

    NARCIS (Netherlands)

    van Mourik, Tim; Snoek, Lukas; Knapen, T; Norris, David G

    The field of neuroimaging is rapidly adopting a more reproducible approach to data acquisition and analysis. Data structures and formats are being standardised and data analyses are getting more automated. However, as data analysis becomes more complicated, researchers often have to write longer

  4. Shearography: An alternative method of NDE for analysis of corrosion in petroleum pipeline

    International Nuclear Information System (INIS)

    Mohd Yusnisyam Yusof; Wan Saffiey Wan Abdullah

    2009-01-01

    This paper discusses the use of shearography as an alternative method of NDE for analysis of corrosion in petroleum pipeline. Shearography reveals direct information about defect induced stress which utilized the laser wave front pattern on the inspected object. In this study, the laser shearography technique was used to measure the derivative displacement of 7 mm thickness carbon steel pipe wall surface with simulated corrosion area at internal wall. The wave front pattern of internal wall corrosion in petroleum pipeline will be constructed to 3D image profiles in order to measure the severity and magnitude of material deformation. The process may involve of optical phase stepping procedure and the image processing algorithm for wrapped and unwrapped phase image at the deformation area. The unwrapped phase image can be meshed plot which finally lead to 3D image profiles. The phase stepping procedure in this analysis was selected by utilizing four phase stepping procedure using piezoelectric transducer (PZT) attached with optical mirror. (author)

  5. Analysis of a buried pipeline at WWER-440/213 Paks NPP

    International Nuclear Information System (INIS)

    1999-01-01

    According to regulations, all safety structures of a NPP must be designed to withstand loads induced by earthquakes. This applies to safety related underground piping systems. These structures are typically embedded in about 2-3 m of layered soil, and sometimes protected by concrete slabs resting on the ground surface. A rigorous solution for the dynamic response of such a structure would require accounting for nonlinear and three dimensional effects. A non-linear analysis is possible by using specialized computer codes and material models to account for non-linear behaviour of the soil. The aim of this paper was to reanalyze the pipeline of Paks NPP in order to demonstrate its dynamic behaviour interacting with the soil and the connected buildings as well as to determine the dynamic responses and the stresses in typical regions of the pipeline. To perform the numerical analysis a three dimensional finite element code (SSASSI/S) based on 'flexible volume method' was applied

  6. Nord stream: not just a pipeline. An analysis of the political debates in the Baltic Sea region regarding the planned gas pipeline from Russia to Germany

    Energy Technology Data Exchange (ETDEWEB)

    Whist, Bendik Solum

    2008-11-15

    This report is an analysis of the planned gas pipeline from Russia to Germany through the Baltic Sea known as Nord Stream. Although not yet realised, the project has, since its birth, been the subject of harsh criticism and opposition by a significant number of states that consider themselves affected by the pipeline. Whereas the Baltic States and Poland have interpreted the pipeline as a politically motivated strategy that will increase Russia's leverage on them and threaten their energy security, the debate in Sweden was at first mostly concerned with the prospect of increased Russian military presence in the Swedish Exclusive Economic Zone. The potential environmental impact of the pipeline has been, and continues to be, an overarching concern shared by all the littoral states of the Baltic Sea. Proponents of Nord Stream, most notably Germany, Russia and the Nord Stream consortium, have largely dismissed the concerns as unwarranted and argue that the pipeline is a common European project that all EU-members should embrace, as it will provide much-needed gas to an increasingly energy-thirsty union. This report is an extensive study of the divergent attitudes and debates that have surged in the region regarding Nord Stream, and the aim is to provide plausible explanations as to why the interpretations of the project have been so different in the various states. The report is based on a variety of sources, including several first-hand interviews with researchers and government officials in the Baltic Sea region. (author). refs.,fig.,tabs

  7. HEDONIC DEMAND ANALYSIS FOR BEEF IN BENIN METROPOLIS

    African Journals Online (AJOL)

    BIUAGRIC2

    2013-02-11

    Feb 11, 2013 ... implicit demand for beef within the framework of a hedonic analysis, and the implicit or shadow price of beef were examined. Primary data ... results of the Hedonic analysis showed that, with an average unit price of N836.57 for beef, a consumer is strongly willing to pay ... method and strategies. Lancaster ...

  8. CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline

    OpenAIRE

    Agrawal, Sonia; Arze, Cesar; Adkins, Ricky S.; Crabtree, Jonathan; Riley, David; Vangala, Mahesh; Galens, Kevin; Fraser, Claire M.; Tettelin, Herv?; White, Owen; Angiuoli, Samuel V.; Mahurkar, Anup; Fricke, W. Florian

    2017-01-01

    Background The benefit of increasing genomic sequence data to the scientific community depends on easy-to-use, scalable bioinformatics support. CloVR-Comparative combines commonly used bioinformatics tools into an intuitive, automated, and cloud-enabled analysis pipeline for comparative microbial genomics. Results CloVR-Comparative runs on annotated complete or draft genome sequences that are uploaded by the user or selected via a taxonomic tree-based user interface and downloaded from NCBI. ...

  9. Forecasting urban water demand: A meta-regression analysis.

    Science.gov (United States)

    Sebri, Maamar

    2016-12-01

    Water managers and planners require accurate water demand forecasts over the short-, medium- and long-term for many purposes. These range from assessing water supply needs over spatial and temporal patterns to optimizing future investments and planning future allocations across competing sectors. This study surveys the empirical literature on the urban water demand forecasting using the meta-analytical approach. Specifically, using more than 600 estimates, a meta-regression analysis is conducted to identify explanations of cross-studies variation in accuracy of urban water demand forecasting. Our study finds that accuracy depends significantly on study characteristics, including demand periodicity, modeling method, forecasting horizon, model specification and sample size. The meta-regression results remain robust to different estimators employed as well as to a series of sensitivity checks performed. The importance of these findings lies in the conclusions and implications drawn out for regulators and policymakers and for academics alike. Copyright © 2016. Published by Elsevier Ltd.

  10. Leakage detection in galvanized iron pipelines using ensemble empirical mode decomposition analysis

    Science.gov (United States)

    Amin, Makeen; Ghazali, M. Fairusham

    2015-05-01

    There are many numbers of possible approaches to detect leaks. Some leaks are simply noticeable when the liquids or water appears on the surface. However many leaks do not find their way to the surface and the existence has to be check by analysis of fluid flow in the pipeline. The first step is to determine the approximate position of leak. This can be done by isolate the sections of the mains in turn and noting which section causes a drop in the flow. Next approach is by using sensor to locate leaks. This approach are involves strain gauge pressure transducers and piezoelectric sensor. the occurrence of leaks and know its exact location in the pipeline by using specific method which are Acoustic leak detection method and transient method. The objective is to utilize the signal processing technique in order to analyse leaking in the pipeline. With this, an EEMD method will be applied as the analysis method to collect and analyse the data.

  11. Analysis of a carbon composite overwrap pipeline repair system

    Energy Technology Data Exchange (ETDEWEB)

    Duell, J.M.; Wilson, J.M. [Department of Mechanical Engineering, University of Tulsa, Tulsa, OK 74104 (United States); Kessler, M.R. [Department of Materials Science and Engineering, Iowa State University, Ames, IA 50011 (United States)], E-mail: mkessler@iastate.edu

    2008-11-15

    A relatively new method has been developed to stop external corrosion and structurally reinforce steel pipes by external wrapping of damaged sections using fibre reinforced polymer (FRP) materials. Several different defect geometries representing corrosion patches on steel pipe were characterized using finite-element analysis, by changing the circumferential length of the defect. Pipe vessels containing these defects along with the composite structural repairs were modeled and the results were compared to field tests to determine the effectiveness of the repairs. It was found that the defect width around the circumference had little impact on the ultimate rupture pressure of the repaired vessel, but influenced the stress state in the underlying pipe substrate.

  12. On the construction of a new stellar classification template library for the LAMOST spectral analysis pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Peng; Luo, Ali; Li, Yinbi; Tu, Liangping; Wang, Fengfei; Zhang, Jiannan; Chen, Xiaoyan; Hou, Wen; Kong, Xiao; Wu, Yue; Zuo, Fang; Yi, Zhenping; Zhao, Yongheng; Chen, Jianjun; Du, Bing; Guo, Yanxin; Ren, Juanjuan [Key Laboratory of Optical Astronomy, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012 (China); Pan, Jingchang; Jiang, Bin; Liu, Jie, E-mail: lal@nao.cas.cn, E-mail: weipeng@nao.cas.cn [School of Mechanical, Electrical, and Information Engineering, Shandong University, Weihai 264209 (China); and others

    2014-05-01

    The LAMOST spectral analysis pipeline, called the 1D pipeline, aims to classify and measure the spectra observed in the LAMOST survey. Through this pipeline, the observed stellar spectra are classified into different subclasses by matching with template spectra. Consequently, the performance of the stellar classification greatly depends on the quality of the template spectra. In this paper, we construct a new LAMOST stellar spectral classification template library, which is supposed to improve the precision and credibility of the present LAMOST stellar classification. About one million spectra are selected from LAMOST Data Release One to construct the new stellar templates, and they are gathered in 233 groups by two criteria: (1) pseudo g – r colors obtained by convolving the LAMOST spectra with the Sloan Digital Sky Survey ugriz filter response curve, and (2) the stellar subclass given by the LAMOST pipeline. In each group, the template spectra are constructed using three steps. (1) Outliers are excluded using the Local Outlier Probabilities algorithm, and then the principal component analysis method is applied to the remaining spectra of each group. About 5% of the one million spectra are ruled out as outliers. (2) All remaining spectra are reconstructed using the first principal components of each group. (3) The weighted average spectrum is used as the template spectrum in each group. Using the previous 3 steps, we initially obtain 216 stellar template spectra. We visually inspect all template spectra, and 29 spectra are abandoned due to low spectral quality. Furthermore, the MK classification for the remaining 187 template spectra is manually determined by comparing with 3 template libraries. Meanwhile, 10 template spectra whose subclass is difficult to determine are abandoned. Finally, we obtain a new template library containing 183 LAMOST template spectra with 61 different MK classes by combining it with the current library.

  13. Prospects of Frequency-Time Correlation Analysis for Detecting Pipeline Leaks by Acoustic Emission Method

    International Nuclear Information System (INIS)

    Faerman, V A; Cheremnov, A G; Avramchuk, V V; Luneva, E E

    2014-01-01

    In the current work the relevance of nondestructive test method development applied for pipeline leak detection is considered. It was shown that acoustic emission testing is currently one of the most widely spread leak detection methods. The main disadvantage of this method is that it cannot be applied in monitoring long pipeline sections, which in its turn complicates and slows down the inspection of the line pipe sections of main pipelines. The prospects of developing alternative techniques and methods based on the use of the spectral analysis of signals were considered and their possible application in leak detection on the basis of the correlation method was outlined. As an alternative, the time-frequency correlation function calculation is proposed. This function represents the correlation between the spectral components of the analyzed signals. In this work, the technique of time-frequency correlation function calculation is described. The experimental data that demonstrate obvious advantage of the time-frequency correlation function compared to the simple correlation function are presented. The application of the time-frequency correlation function is more effective in suppressing the noise components in the frequency range of the useful signal, which makes maximum of the function more pronounced. The main drawback of application of the time- frequency correlation function analysis in solving leak detection problems is a great number of calculations that may result in a further increase in pipeline time inspection. However, this drawback can be partially reduced by the development and implementation of efficient algorithms (including parallel) of computing the fast Fourier transform using computer central processing unit and graphic processing unit

  14. PETRA - an Activity-based Approach to Travel Demand Analysis

    DEFF Research Database (Denmark)

    Fosgerau, Mogens

    2001-01-01

    This paper concerns the PETRA model developed by COWI in a project funded by the Danish Ministry of Transport, the Danish Transport Council and the Danish Energy Research Program. The model provides an alternative approach to activity based travel demand analysis that excludes the time dimension...

  15. Energy demand analysis in the household, commercial and agriculture sector

    International Nuclear Information System (INIS)

    Lapillonne, B.

    1991-01-01

    This chapter of the publication is dealing with Energy Demand Analysis in the Household, Commercial and Agricultural Sector. Per Capita total energy consumption in the residential and commercial sector is given and variation among countries are discussed. 12 figs, 1 tab

  16. DSAP: deep-sequencing small RNA analysis pipeline.

    Science.gov (United States)

    Huang, Po-Jung; Liu, Yi-Chung; Lee, Chi-Ching; Lin, Wei-Chen; Gan, Richie Ruei-Chi; Lyu, Ping-Chiang; Tang, Petrus

    2010-07-01

    DSAP is an automated multiple-task web service designed to provide a total solution to analyzing deep-sequencing small RNA datasets generated by next-generation sequencing technology. DSAP uses a tab-delimited file as an input format, which holds the unique sequence reads (tags) and their corresponding number of copies generated by the Solexa sequencing platform. The input data will go through four analysis steps in DSAP: (i) cleanup: removal of adaptors and poly-A/T/C/G/N nucleotides; (ii) clustering: grouping of cleaned sequence tags into unique sequence clusters; (iii) non-coding RNA (ncRNA) matching: sequence homology mapping against a transcribed sequence library from the ncRNA database Rfam (http://rfam.sanger.ac.uk/); and (iv) known miRNA matching: detection of known miRNAs in miRBase (http://www.mirbase.org/) based on sequence homology. The expression levels corresponding to matched ncRNAs and miRNAs are summarized in multi-color clickable bar charts linked to external databases. DSAP is also capable of displaying miRNA expression levels from different jobs using a log(2)-scaled color matrix. Furthermore, a cross-species comparative function is also provided to show the distribution of identified miRNAs in different species as deposited in miRBase. DSAP is available at http://dsap.cgu.edu.tw.

  17. Transient analysis and leakage detection algorithm using GA and HS algorithm for a pipeline system

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Sang Hyun; Yoo, Wan Suk; Oh, Kwang Jung; Hwang, In Sung; Oh, Jeong Eun [Pusan National University, Pusan (Korea, Republic of)

    2006-03-15

    The impact of leakage was incorporated into the transfer functions of the complex head and discharge. The impedance transfer functions for the various leaking pipeline systems were also derived. Hydraulic transients could be efficiently analyzed by the developed method. The simulation of normalized pressure variation using the method of characteristics and the impulse response method shows good agreement to the condition of turbulent flow. The leak calibration could be performed by incorporation of the impulse response method with Genetic Algorithm (GA) and Harmony Search (HS). The objective functions for the leakage detection can be made using the pressure-head response at the valve, or the pressure-head or the flow response at a certain point of the pipeline located upstream from the valve. The proposed method is not constrained by the Courant number to control the numerical dissipation of the method of characteristics. The limitations associated with the discreteness of the pipeline system in the inverse transient analysis can be neglected in the proposed method.

  18. Approaches to automatic parameter fitting in a microscopy image segmentation pipeline: An exploratory parameter space analysis.

    Science.gov (United States)

    Held, Christian; Nattkemper, Tim; Palmisano, Ralf; Wittenberg, Thomas

    2013-01-01

    Research and diagnosis in medicine and biology often require the assessment of a large amount of microscopy image data. Although on the one hand, digital pathology and new bioimaging technologies find their way into clinical practice and pharmaceutical research, some general methodological issues in automated image analysis are still open. In this study, we address the problem of fitting the parameters in a microscopy image segmentation pipeline. We propose to fit the parameters of the pipeline's modules with optimization algorithms, such as, genetic algorithms or coordinate descents, and show how visual exploration of the parameter space can help to identify sub-optimal parameter settings that need to be avoided. This is of significant help in the design of our automatic parameter fitting framework, which enables us to tune the pipeline for large sets of micrographs. The underlying parameter spaces pose a challenge for manual as well as automated parameter optimization, as the parameter spaces can show several local performance maxima. Hence, optimization strategies that are not able to jump out of local performance maxima, like the hill climbing algorithm, often result in a local maximum.

  19. Transient analysis and leakage detection algorithm using GA and HS algorithm for a pipeline system

    International Nuclear Information System (INIS)

    Kim, Sang Hyun; Yoo, Wan Suk; Oh, Kwang Jung; Hwang, In Sung; Oh, Jeong Eun

    2006-01-01

    The impact of leakage was incorporated into the transfer functions of the complex head and discharge. The impedance transfer functions for the various leaking pipeline systems were also derived. Hydraulic transients could be efficiently analyzed by the developed method. The simulation of normalized pressure variation using the method of characteristics and the impulse response method shows good agreement to the condition of turbulent flow. The leak calibration could be performed by incorporation of the impulse response method with Genetic Algorithm (GA) and Harmony Search (HS). The objective functions for the leakage detection can be made using the pressure-head response at the valve, or the pressure-head or the flow response at a certain point of the pipeline located upstream from the valve. The proposed method is not constrained by the Courant number to control the numerical dissipation of the method of characteristics. The limitations associated with the discreteness of the pipeline system in the inverse transient analysis can be neglected in the proposed method

  20. Double-pulse laser-induced breakdown spectroscopy analysis of scales from petroleum pipelines

    International Nuclear Information System (INIS)

    o – CEP 24210-346 – Niterói, Rio de Janeiro (Brazil))" data-affiliation=" (Physics Department of University Federal Fluminense, Av. Gal. Milton Tavares de Souza, s/no – CEP 24210-346 – Niterói, Rio de Janeiro (Brazil))" >Cavalcanti, G.H.; Rocha, A.A.; Damasceno, R.N.; Legnaioli, S.; Lorenzetti, G.; Pardini, L.; Palleschi, V.

    2013-01-01

    Pipeline scales from the Campos Bay Petroleum Field near Rio de Janeiro, Brazil have been analyzed by both Raman spectroscopy and by laser-induced breakdown spectroscopy (LIBS) using a double-pulse, calibration-free approach. Elements that are characteristic of petroleum (e.g. C, H, N, O, Mg, Na, Fe and V) were detected, in addition to the Ca, Al, and Si which form the matrix of the scale. The LIBS results were compared with the results of micro-Raman spectroscopy, which confirmed the nature of the incrustations inferred by the LIBS analysis. Results of this preliminary study suggest that diffusion of pipe material into the pipeline intake column plays an important role in the growth of scale. Thanks to the simplicity and relative low cost of equipment and to the fact that no special chemical pre-treatment of the samples is needed, LIBS can offer very fast acquisition of data and the possibility of in situ measurements. LIBS could thus represent an alternative or complementary method for the chemical characterization of the scales by comparison to conventional analytical techniques, such as X-ray diffraction or X-ray fluorescence. - Highlights: • Samples of scales from petroleum pipelines were analyzed using double pulse LIBS. • LIBS is proposed as an alternative method to conventional analytical techniques. • The scale growth is influenced by the product of corrosion in the column of production. • The diffusion of pipe material into the inlay is important for the growth of scale

  1. Pigging analysis for gas-liquid two phase flow in pipelines

    International Nuclear Information System (INIS)

    Kohda, K.; Suzukawa, Y.; Furukawa, H.

    1988-01-01

    A new method to analyze transient phenomena caused by pigging in gas-liquid two-phase flow is developed. During pigging, a pipeline is divided into three sections by two moving boundaries, namely the pig and the leading edge of the liquid slug in front of the pig. The basic equations are mass, momentum and energy conservation equations. The boundary conditions at the moving boundaries are determined from the mass conservation across the boundaries, etc. A finite difference method is used to solve the equations numerically. The method described above is also capable of analyzing transient two-phase flow caused by pressure and flow rate changes. Thus the over-all analysis of transient two-phase flow in pipelines becomes possible. A series of air-water two-phase flow pigging experiments was conducted using 105.3 mm diameter and 1436.5 m long test pipeline. The agreement between the measured and the calculated results is very good

  2. An Optimization-Driven Analysis Pipeline to Uncover Biomarkers and Signaling Paths: Cervix Cancer

    Directory of Open Access Journals (Sweden)

    Enery Lorenzo

    2015-05-01

    Full Text Available Establishing how a series of potentially important genes might relate to each other is relevant to understand the origin and evolution of illnesses, such as cancer. High‑throughput biological experiments have played a critical role in providing information in this regard. A special challenge, however, is that of trying to conciliate information from separate microarray experiments to build a potential genetic signaling path. This work proposes a two-step analysis pipeline, based on optimization, to approach meta-analysis aiming to build a proxy for a genetic signaling path.

  3. RAP: RNA-Seq Analysis Pipeline, a new cloud-based NGS web application.

    Science.gov (United States)

    D'Antonio, Mattia; D'Onorio De Meo, Paolo; Pallocca, Matteo; Picardi, Ernesto; D'Erchia, Anna Maria; Calogero, Raffaele A; Castrignanò, Tiziana; Pesole, Graziano

    2015-01-01

    The study of RNA has been dramatically improved by the introduction of Next Generation Sequencing platforms allowing massive and cheap sequencing of selected RNA fractions, also providing information on strand orientation (RNA-Seq). The complexity of transcriptomes and of their regulative pathways make RNA-Seq one of most complex field of NGS applications, addressing several aspects of the expression process (e.g. identification and quantification of expressed genes and transcripts, alternative splicing and polyadenylation, fusion genes and trans-splicing, post-transcriptional events, etc.). In order to provide researchers with an effective and friendly resource for analyzing RNA-Seq data, we present here RAP (RNA-Seq Analysis Pipeline), a cloud computing web application implementing a complete but modular analysis workflow. This pipeline integrates both state-of-the-art bioinformatics tools for RNA-Seq analysis and in-house developed scripts to offer to the user a comprehensive strategy for data analysis. RAP is able to perform quality checks (adopting FastQC and NGS QC Toolkit), identify and quantify expressed genes and transcripts (with Tophat, Cufflinks and HTSeq), detect alternative splicing events (using SpliceTrap) and chimeric transcripts (with ChimeraScan). This pipeline is also able to identify splicing junctions and constitutive or alternative polyadenylation sites (implementing custom analysis modules) and call for statistically significant differences in genes and transcripts expression, splicing pattern and polyadenylation site usage (using Cuffdiff2 and DESeq). Through a user friendly web interface, the RAP workflow can be suitably customized by the user and it is automatically executed on our cloud computing environment. This strategy allows to access to bioinformatics tools and computational resources without specific bioinformatics and IT skills. RAP provides a set of tabular and graphical results that can be helpful to browse, filter and export

  4. Scenario analysis on future electricity supply and demand in Japan

    International Nuclear Information System (INIS)

    Zhang, Qi; Ishihara, Keiichi N.; Mclellan, Benjamin C.; Tezuka, Tetsuo

    2012-01-01

    Under continuing policies of CO 2 emissions reduction, it is crucial to consider scenarios for Japan to realize a safe and clean future electricity system. The development plans for nuclear power and renewable energy - particularly solar and wind power - are being reconsidered in light of the Fukushima nuclear accident. To contribute to this, in the present study, three electricity supply scenarios for 2030 are proposed according to different future nuclear power development policies, and the maximum penetration of renewable energy generation is pursued. On the other side of the equation, three electricity demand scenarios are also proposed considering potential energy saving measures. The purpose of the study is to demonstrate quantitatively the technological, economic and environmental impacts of different supply policy selections and demand assumptions on future electricity systems. The scenario analysis is conducted using an input–output hour-by-hour simulation model subject to constraints from technological, economic and environmental perspectives. The obtained installed capacity mix, power generation mix, CO 2 emissions, and generation cost of the scenarios were inter-compared and analyzed. The penetration of renewable energy generation in a future electricity system in Japan, as well as its relationship with nuclear power share was uncovered. -- Highlights: ► Scenario analysis is conducted on future electricity systems under different supply policies and demand assumptions. ► Scenario analysis is conducted using a input–output hour-by-hour simulation model for real-time demand-supply balance. ► The technological, economic and environmental impacts of supply policies and demand assumptions on future electricity systems are studied. ► The maximum penetration of renewable energy generation is pursued in the scenario analysis using the hour-by-hour simulation. ► The relationship between the penetration levels of renewable energy and nuclear power

  5. Granatum: a graphical single-cell RNA-Seq analysis pipeline for genomics scientists.

    Science.gov (United States)

    Zhu, Xun; Wolfgruber, Thomas K; Tasato, Austin; Arisdakessian, Cédric; Garmire, David G; Garmire, Lana X

    2017-12-05

    Single-cell RNA sequencing (scRNA-Seq) is an increasingly popular platform to study heterogeneity at the single-cell level. Computational methods to process scRNA-Seq data are not very accessible to bench scientists as they require a significant amount of bioinformatic skills. We have developed Granatum, a web-based scRNA-Seq analysis pipeline to make analysis more broadly accessible to researchers. Without a single line of programming code, users can click through the pipeline, setting parameters and visualizing results via the interactive graphical interface. Granatum conveniently walks users through various steps of scRNA-Seq analysis. It has a comprehensive list of modules, including plate merging and batch-effect removal, outlier-sample removal, gene-expression normalization, imputation, gene filtering, cell clustering, differential gene expression analysis, pathway/ontology enrichment analysis, protein network interaction visualization, and pseudo-time cell series construction. Granatum enables broad adoption of scRNA-Seq technology by empowering bench scientists with an easy-to-use graphical interface for scRNA-Seq data analysis. The package is freely available for research use at http://garmiregroup.org/granatum/app.

  6. Environmental impact analysis; the example of the proposed Trans-Alaska Pipeline

    Science.gov (United States)

    Brew, David A.

    1974-01-01

    The environmental impact analysis made as required by the National Environmental Policy Act of 1969 for the proposed trans-Alaska pipeline included consideration of the (1) technologically complex and geographically extensive proposed project, (2) extremely different physical environments across Alaska along the proposed route and elsewhere in Alaska and in Canada along alternative routes, (3) socioeconomic environment of the State of Alaska, and (4) a wide variety of alternatives. The analysis was designed specifically to fit the project and environment that would be affected. The environment was divided into two general parts--natural physical systems and superposed socioeconomic systems--and those parts were further divided into discipline-oriented systems or components that were studied and analyzed by scientists of the appropriate discipline. Particular attention was given to potential feedback loops in the impact network and to linkages between the project's impacting effects and the environment. The results of the analysis as reported in the final environmental impact statement were that both unavoidable and threatened environmental impacts would result from construction, operation, and maintenance of the proposed pipeline system and the developments related to it. The principal unavoidable effects would be (1) disturbances of terrain, fish and wildlife habitat, and human environs, (2) the results of the discharge of effluent from the tanker-ballast-treatment facility into Port Valdez and of some indeterminate amount of oil released into the ocean from tank-cleaning operations at sea, and (3) the results associated with increased human pressures of all kinds on the environment. Other unavoidable effects would be those related to increase of State and Native Corporation revenues, accelerated cultural change of the Native population, and extraction of the oil and gas resource. The main threatened environmental effects would all be related to unintentional oil

  7. A survey and analysis of demand for HANARO utilization

    International Nuclear Information System (INIS)

    Sohn, J. M.; Yoo, K.J. and others

    1999-03-01

    The purpose of this survey and analysis is to identify the level of demand for the HANARO utilization that will be applied to developing experimental facilities, to advertise the HANARO, and to find able staff members for user group organization. The demand survey was performed on a nationwide basis of universities, hospitals, research institute, industrial firms, and public institutions from May 7, 1998 to July 30, 1998 through the internet, electronic mail, mail or fax. This survey contains of two parts: the first part is to identify the demand for the experimental facilities of HANARO such as neutron beam, cold neutron beam, fuel and material irradiation testing, radioisotope, neutron activation analysis, boron neutron capture therapy, and neutron transmutation doping. The second part is to survey the intention of participating in the neutron beam user group, radioisotope user group, and fuel and material irradiation testing user group. 1,181 individuals have replied to the survey. The number of replies concerning the utilization of HANARO and the user groups are 3,374 and 440, respectively. The results of this demand survey will be analyzed and used to the study of a more active utilization and a more efficient management of HANARO. They will be applied to the future planning the development of the experimental facilities of HANARO. (author). 22 tabs., 30 figs

  8. Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm

    Directory of Open Access Journals (Sweden)

    Junbing Huang

    2018-01-01

    Full Text Available Energy is vital for the sustainable development of China. Accurate forecasts of annual energy demand are essential to schedule energy supply and provide valuable suggestions for developing related industries. In the existing literature on energy use prediction, the artificial intelligence-based (AI-based model has received considerable attention. However, few econometric and statistical evidences exist that can prove the reliability of the current AI-based model, an area that still needs to be addressed. In this study, a new energy demand forecasting framework is presented at first. On the basis of historical annual data of electricity usage over the period of 1985–2015, the coefficients of linear and quadratic forms of the AI-based model are optimized by combining an adaptive genetic algorithm and a cointegration analysis shown as an example. Prediction results of the proposed model indicate that the annual growth rate of electricity demand in China will slow down. However, China will continue to demand about 13 trillion kilowatt hours in 2030 because of population growth, economic growth, and urbanization. In addition, the model has greater accuracy and reliability compared with other single optimization methods.

  9. A Sensitivity Analysis of a Computer Model-Based Leak Detection System for Oil Pipelines

    OpenAIRE

    Zhe Lu; Yuntong She; Mark Loewen

    2017-01-01

    Improving leak detection capability to eliminate undetected releases is an area of focus for the energy pipeline industry, and the pipeline companies are working to improve existing methods for monitoring their pipelines. Computer model-based leak detection methods that detect leaks by analyzing the pipeline hydraulic state have been widely employed in the industry, but their effectiveness in practical applications is often challenged by real-world uncertainties. This study quantitatively ass...

  10. An analysis of perceptions and awareness of risk associated with energy pipelines in South Africa

    Directory of Open Access Journals (Sweden)

    Tatenda Mbara

    2011-11-01

    Full Text Available Worldwide, there has been a rapid growth in the use of pipelines to transport energy products. Due to the strategic nature of energy products that are transported by pipelines, the importance of risk awareness, assessment and management cannot be over-emphasised. With the risk of pipeline disruptions increasing globally, energy pipeline organisations are compelled to incorporate measures that should help to identify and address areas that can lead to energy pipeline disruptions. The incorporation of such measures for any organisation is premised on an understanding and appreciation of the risks involved. Given the strategic importance of energy pipelines, the main purpose of this paper is to establish whether the South African energy pipeline sector and the public at large appreciate the risks associated with energy pipelines. Thus, the paper seeks to ascertain awareness of the risks associated with the energy pipeline's physical environment, not only from the energy pipeline operators, but also from communities who are exposed to such risks. Data for the study was collected from energy pipeline operators and from a selected residential area in Johannesburg using both structured and unstructured questionnaires. The findings show that the corporate energy sector in South Africa is aware of risks associated with energy pipeline supply chains while the general public's awareness is very low.

  11. A Bayesian hierarchical model for demand curve analysis.

    Science.gov (United States)

    Ho, Yen-Yi; Nhu Vo, Tien; Chu, Haitao; Luo, Xianghua; Le, Chap T

    2018-07-01

    Drug self-administration experiments are a frequently used approach to assessing the abuse liability and reinforcing property of a compound. It has been used to assess the abuse liabilities of various substances such as psychomotor stimulants and hallucinogens, food, nicotine, and alcohol. The demand curve generated from a self-administration study describes how demand of a drug or non-drug reinforcer varies as a function of price. With the approval of the 2009 Family Smoking Prevention and Tobacco Control Act, demand curve analysis provides crucial evidence to inform the US Food and Drug Administration's policy on tobacco regulation, because it produces several important quantitative measurements to assess the reinforcing strength of nicotine. The conventional approach popularly used to analyze the demand curve data is individual-specific non-linear least square regression. The non-linear least square approach sets out to minimize the residual sum of squares for each subject in the dataset; however, this one-subject-at-a-time approach does not allow for the estimation of between- and within-subject variability in a unified model framework. In this paper, we review the existing approaches to analyze the demand curve data, non-linear least square regression, and the mixed effects regression and propose a new Bayesian hierarchical model. We conduct simulation analyses to compare the performance of these three approaches and illustrate the proposed approaches in a case study of nicotine self-administration in rats. We present simulation results and discuss the benefits of using the proposed approaches.

  12. Analysis of reactor strategies to meet world nuclear energy demands

    International Nuclear Information System (INIS)

    Ligon, D.M.; Brogli, R.H.

    1979-07-01

    A number of reactor deployment strategies for long-term nuclear system development are analyzed from a global perspective in terms of resource utilization and economic benefits. Two time frames are chosen: 1975 - 2025 and 1975 - 2050. Uranium demand for various strategies is compared with uranium supply assuming different production capabilities and resource base. The analysis shows that a given reactor deployment strategy could strongly influence the extent of uranium exploration and production. Power systems cost comparisons are made to identify clearly competitive or non-competitive reactors. The sensitivity of power cost to different uranium price projections and nuclear demands is also examined. The results indicate that breeders are necessary to support a long-term nuclear power system. Advanced converter-breeder symbiotic systems, particularly those operating on the Th/U-233 cycle, have clear advantages in terms of resources and economics

  13. Metagenomic analysis indicates Epsilonproteobacteria as a potential cause of microbial corrosion in pipelines injected with bisulfite

    Directory of Open Access Journals (Sweden)

    Dongshan eAn

    2016-01-01

    Full Text Available Sodium bisulfite (SBS is used as an oxygen scavenger to decrease corrosion in pipelines transporting brackish subsurface water used in the production of bitumen by steam-assisted gravity drainage. Sequencing 16S rRNA gene amplicons has indicated that SBS addition increased the fraction of the sulfate-reducing bacteria (SRB Desulfomicrobium, as well as of Desulfocapsa, which can also grow by disproportionating sulfite into sulfide, sulfur and sulfate. SRB use cathodic H2, formed by reduction of aqueous protons at the iron surface, or use low potential electrons from iron and aqueous protons directly for sulfate reduction. In order to reveal the effects of SBS treatment in more detail, metagenomic analysis was performed with pipe-associated solids (PAS scraped from a pipe section upstream (PAS-616P and downstream (PAS-821TP of the SBS injection point. A major SBS-induced change in microbial community composition and in affiliated hynL genes for the large subunit of [NiFe] hydrogenase was the appearance of sulfur-metabolizing Epsilonproteobacteria of the genera Sulfuricurvum and Sulfurovum. These are chemolithotrophs, which oxidize sulfide or sulfur with O2 or reduce sulfur with H2. Because O2 was absent, this class likely catalyzed reduction of sulfur (S0 originating from the metabolism of bisulfite with cathodic H2 (or low potential electrons and aqueous protons originating from the corrosion of steel (Fe0. Overall this accelerates reaction of of S0 and Fe0 to form FeS, making this class a potentially powerful contributor to microbial corrosion. The PAS-821TP metagenome also had increased fractions of Deltaproteobacteria including the SRB Desulfomicrobium and Desulfocapsa. Altogether, SBS increased the fraction of hydrogen-utilizing Delta- and Epsilonproteobacteria in brackish-water-transporting pipelines, potentially stimulating anaerobic pipeline corrosion if dosed in excess of the intended oxygen scavenger function.

  14. Streak detection and analysis pipeline for space-debris optical images

    Science.gov (United States)

    Virtanen, Jenni; Poikonen, Jonne; Säntti, Tero; Komulainen, Tuomo; Torppa, Johanna; Granvik, Mikael; Muinonen, Karri; Pentikäinen, Hanna; Martikainen, Julia; Näränen, Jyri; Lehti, Jussi; Flohrer, Tim

    2016-04-01

    We describe a novel data-processing and analysis pipeline for optical observations of moving objects, either of natural (asteroids, meteors) or artificial origin (satellites, space debris). The monitoring of the space object populations requires reliable acquisition of observational data, to support the development and validation of population models and to build and maintain catalogues of orbital elements. The orbital catalogues are, in turn, needed for the assessment of close approaches (for asteroids, with the Earth; for satellites, with each other) and for the support of contingency situations or launches. For both types of populations, there is also increasing interest to detect fainter objects corresponding to the small end of the size distribution. The ESA-funded StreakDet (streak detection and astrometric reduction) activity has aimed at formulating and discussing suitable approaches for the detection and astrometric reduction of object trails, or streaks, in optical observations. Our two main focuses are objects in lower altitudes and space-based observations (i.e., high angular velocities), resulting in long (potentially curved) and faint streaks in the optical images. In particular, we concentrate on single-image (as compared to consecutive frames of the same field) and low-SNR detection of objects. Particular attention has been paid to the process of extraction of all necessary information from one image (segmentation), and subsequently, to efficient reduction of the extracted data (classification). We have developed an automated streak detection and processing pipeline and demonstrated its performance with an extensive database of semisynthetic images simulating streak observations both from ground-based and space-based observing platforms. The average processing time per image is about 13 s for a typical 2k-by-2k image. For long streaks (length >100 pixels), primary targets of the pipeline, the detection sensitivity (true positives) is about 90% for

  15. sRNAnalyzer-a flexible and customizable small RNA sequencing data analysis pipeline.

    Science.gov (United States)

    Wu, Xiaogang; Kim, Taek-Kyun; Baxter, David; Scherler, Kelsey; Gordon, Aaron; Fong, Olivia; Etheridge, Alton; Galas, David J; Wang, Kai

    2017-12-01

    Although many tools have been developed to analyze small RNA sequencing (sRNA-Seq) data, it remains challenging to accurately analyze the small RNA population, mainly due to multiple sequence ID assignment caused by short read length. Additional issues in small RNA analysis include low consistency of microRNA (miRNA) measurement results across different platforms, miRNA mapping associated with miRNA sequence variation (isomiR) and RNA editing, and the origin of those unmapped reads after screening against all endogenous reference sequence databases. To address these issues, we built a comprehensive and customizable sRNA-Seq data analysis pipeline-sRNAnalyzer, which enables: (i) comprehensive miRNA profiling strategies to better handle isomiRs and summarization based on each nucleotide position to detect potential SNPs in miRNAs, (ii) different sequence mapping result assignment approaches to simulate results from microarray/qRT-PCR platforms and a local probabilistic model to assign mapping results to the most-likely IDs, (iii) comprehensive ribosomal RNA filtering for accurate mapping of exogenous RNAs and summarization based on taxonomy annotation. We evaluated our pipeline on both artificial samples (including synthetic miRNA and Escherichia coli cultures) and biological samples (human tissue and plasma). sRNAnalyzer is implemented in Perl and available at: http://srnanalyzer.systemsbiology.net/. © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

  16. Heritability estimates on resting state fMRI data using ENIGMA analysis pipeline.

    Science.gov (United States)

    Adhikari, Bhim M; Jahanshad, Neda; Shukla, Dinesh; Glahn, David C; Blangero, John; Reynolds, Richard C; Cox, Robert W; Fieremans, Els; Veraart, Jelle; Novikov, Dmitry S; Nichols, Thomas E; Hong, L Elliot; Thompson, Paul M; Kochunov, Peter

    2018-01-01

    Big data initiatives such as the Enhancing NeuroImaging Genetics through Meta-Analysis consortium (ENIGMA), combine data collected by independent studies worldwide to achieve more generalizable estimates of effect sizes and more reliable and reproducible outcomes. Such efforts require harmonized image analyses protocols to extract phenotypes consistently. This harmonization is particularly challenging for resting state fMRI due to the wide variability of acquisition protocols and scanner platforms; this leads to site-to-site variance in quality, resolution and temporal signal-to-noise ratio (tSNR). An effective harmonization should provide optimal measures for data of different qualities. We developed a multi-site rsfMRI analysis pipeline to allow research groups around the world to process rsfMRI scans in a harmonized way, to extract consistent and quantitative measurements of connectivity and to perform coordinated statistical tests. We used the single-modality ENIGMA rsfMRI preprocessing pipeline based on modelfree Marchenko-Pastur PCA based denoising to verify and replicate resting state network heritability estimates. We analyzed two independent cohorts, GOBS (Genetics of Brain Structure) and HCP (the Human Connectome Project), which collected data using conventional and connectomics oriented fMRI protocols, respectively. We used seed-based connectivity and dual-regression approaches to show that the rsfMRI signal is consistently heritable across twenty major functional network measures. Heritability values of 20-40% were observed across both cohorts.

  17. NINJA data analysis with a detection pipeline based on the Hilbert-Huang transform

    International Nuclear Information System (INIS)

    Stroeer, Alexander; Camp, Jordan

    2009-01-01

    The NINJA data analysis challenge allowed the study of the sensitivity of data analysis pipelines to binary black hole numerical relativity waveforms in simulated Gaussian noise at the design level of the LIGO observatory and the VIRGO observatory. We analyzed NINJA data with a pipeline based on the Hilbert-Huang transform, utilizing a detection stage and a characterization stage: detection is performed by triggering on excess instantaneous power, characterization is performed by displaying the kernel density enhanced (KD) time-frequency trace of the signal. Using the simulated data based on the two LIGO detectors, we were able to detect 77 signals out of 126 above signal-to-noise ratio, SNR 5 in coincidence, with 43 missed events characterized by SNR < 10. Characterization of the detected signals revealed the merger part of the waveform in high time and frequency resolution, free from time-frequency uncertainty. We estimated the timelag of the signals between the detectors based on the optimal overlap of the individual KD time-frequency maps, yielding estimates accurate within a fraction of a millisecond for half of the events. A coherent addition of the data sets according to the estimated timelag eventually was used in a final characterization of the event.

  18. EzMap: a simple pipeline for reproducible analysis of the human virome.

    Science.gov (United States)

    Czeczko, Patrick; Greenway, Steven C; de Koning, A P Jason

    2017-08-15

    In solid-organ transplant recipients, a delicate balance between immunosuppression and immunocompetence must be achieved, which can be difficult to monitor in real-time. Shotgun sequencing of cell-free DNA (cfDNA) has been recently proposed as a new way to indirectly assess immune function in transplant recipients through analysis of the status of the human virome. To facilitate exploration of the utility of the human virome as an indicator of immune status, and to enable rapid, straightforward analyses by clinicians, we developed a fully automated computational pipeline, EzMap, for performing metagenomic analysis of the human virome. EzMap combines a number of tools to clean, filter, and subtract WGS reads by mapping to a reference human assembly. The relative abundance of each virus present is estimated using a maximum likelihood approach that accounts for genome size, and results are presented with interactive visualizations and taxonomy-based summaries that enable rapid insights. The pipeline is automated to run on both workstations and computing clusters for all steps. EzMap automates an otherwise tedious and time-consuming protocol and aims to facilitate rapid and reproducible insights from cfDNA. EzMap is freely available at https://github.com/dekoning-lab/ezmap. jason.dekoning@ucalgary.ca. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  19. Estimation of demand function on natural gas and study of demand analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Y.D. [Korea Energy Economics Institute, Euiwang (Korea, Republic of)

    1998-04-01

    Demand Function is estimated with several methods about the demand on natural gas, and analyzed per usage. Since the demand on natural gas, which has big share of heating use, has a close relationship with temperature, the inter-season trend of price and income elasticity is estimated considering temperature and economic formation. Per usage response of natural gas demand on the changes of price and income is also estimated. It was estimated that the response of gas demand on the changes of price and income occurs by the change of number of users in long term. In case of the response of unit consumption, only industrial use shows long-term response to price. Since gas price barely responds to the change of exchange rate, it seems to express the price-making mechanism that does not reflect timely the import condition such as exchange rate, etc. 16 refs., 12 figs., 13 tabs.

  20. Spatial analysis of the electrical energy demand in Greece

    International Nuclear Information System (INIS)

    Tyralis, Hristos; Mamassis, Nikos; Photis, Yorgos N.

    2017-01-01

    The Electrical Energy Demand (EED) of the agricultural, commercial and industrial sector in Greece, as well as its use for domestic activities, public and municipal authorities and street lighting are analysed spatially using Geographical Information System and spatial statistical methods. The analysis is performed on data which span from 2008 to 2012 and have annual temporal resolution and spatial resolution down to the NUTS (Nomenclature of Territorial Units for Statistics) level 3. The aim is to identify spatial patterns of the EED and its transformations such as the ratios of the EED to socioeconomic variables, i.e. the population, the total area, the population density and the Gross Domestic Product (GDP). Based on the analysis, Greece is divided in five regions, each one with a different development model, i.e. Attica and Thessaloniki which are two heavily populated major poles, Thessaly and Central Greece which form a connected geographical region with important agricultural and industrial sector, the islands and some coastal areas which are characterized by an important commercial sector and the rest Greek areas. The spatial patterns can provide additional information for policy decision about the electrical energy management and better representation of the regional socioeconomic conditions. - Highlights: • We visualize spatially the Electrical Energy Demand (EED) in Greece. • We apply spatial analysis methods to the EED data. • Spatial patterns of the EED are identified. • Greece is classified in five distinct groups, based on the analysis. • The results can be used for optimal planning of the electric system.

  1. An Analysis on change of household electricity demand pattern

    Energy Technology Data Exchange (ETDEWEB)

    Na, In Gang [Korea Energy Economics Institute, Euiwang (Korea)

    1999-01-01

    The object of this study is to analyze the behavioral pattern change of household electricity demand. Through the cross section analysis using materials from the energy total research report, the change in income elasticity of household electricity demand was studied. In this study, two methodologies were used. Firstly, it was shown that the effect of an income variable was very significant with a positive value in simultaneous equations model using exponential equations of electrical appliances holding. Cross section income effect showed a various distribution according to the season or income level. Overall, it was calculated at 0.111 when the appliances are fixed and 0.432 when even appliances are changed. Secondly, using a choice convenient correction model, it is resulted that lambda, the choice convenient correction factor, has a positive value and is statistically significant. In 1996, income elasticity of electricity demand for households with air-conditioning was 0.305 and for households without air-conditioning was 0.172. Income elasticity of households with air-conditioning is increasing as time goes by while income elasticity of households without air-conditioning is decreasing. (author). 32 refs., 35 tabs.

  2. CloVR-Comparative: automated, cloud-enabled comparative microbial genome sequence analysis pipeline.

    Science.gov (United States)

    Agrawal, Sonia; Arze, Cesar; Adkins, Ricky S; Crabtree, Jonathan; Riley, David; Vangala, Mahesh; Galens, Kevin; Fraser, Claire M; Tettelin, Hervé; White, Owen; Angiuoli, Samuel V; Mahurkar, Anup; Fricke, W Florian

    2017-04-27

    The benefit of increasing genomic sequence data to the scientific community depends on easy-to-use, scalable bioinformatics support. CloVR-Comparative combines commonly used bioinformatics tools into an intuitive, automated, and cloud-enabled analysis pipeline for comparative microbial genomics. CloVR-Comparative runs on annotated complete or draft genome sequences that are uploaded by the user or selected via a taxonomic tree-based user interface and downloaded from NCBI. CloVR-Comparative runs reference-free multiple whole-genome alignments to determine unique, shared and core coding sequences (CDSs) and single nucleotide polymorphisms (SNPs). Output includes short summary reports and detailed text-based results files, graphical visualizations (phylogenetic trees, circular figures), and a database file linked to the Sybil comparative genome browser. Data up- and download, pipeline configuration and monitoring, and access to Sybil are managed through CloVR-Comparative web interface. CloVR-Comparative and Sybil are distributed as part of the CloVR virtual appliance, which runs on local computers or the Amazon EC2 cloud. Representative datasets (e.g. 40 draft and complete Escherichia coli genomes) are processed in genomics projects, while eliminating the need for on-site computational resources and expertise.

  3. Approaches to automatic parameter fitting in a microscopy image segmentation pipeline: An exploratory parameter space analysis

    Directory of Open Access Journals (Sweden)

    Christian Held

    2013-01-01

    Full Text Available Introduction: Research and diagnosis in medicine and biology often require the assessment of a large amount of microscopy image data. Although on the one hand, digital pathology and new bioimaging technologies find their way into clinical practice and pharmaceutical research, some general methodological issues in automated image analysis are still open. Methods: In this study, we address the problem of fitting the parameters in a microscopy image segmentation pipeline. We propose to fit the parameters of the pipeline′s modules with optimization algorithms, such as, genetic algorithms or coordinate descents, and show how visual exploration of the parameter space can help to identify sub-optimal parameter settings that need to be avoided. Results: This is of significant help in the design of our automatic parameter fitting framework, which enables us to tune the pipeline for large sets of micrographs. Conclusion: The underlying parameter spaces pose a challenge for manual as well as automated parameter optimization, as the parameter spaces can show several local performance maxima. Hence, optimization strategies that are not able to jump out of local performance maxima, like the hill climbing algorithm, often result in a local maximum.

  4. Leak detection and localization in a pipeline system by application of statistical analysis techniques

    International Nuclear Information System (INIS)

    Fukuda, Toshio; Mitsuoka, Toyokazu.

    1985-01-01

    The detection of leak in piping system is an important diagnostic technique for facilities to prevent accidents and to take maintenance measures, since the occurrence of leak lowers productivity and causes environmental destruction. As the first step, it is necessary to detect the occurrence of leak without delay, and as the second step, if the place of leak occurrence in piping system can be presumed, accident countermeasures become easy. The detection of leak by pressure is usually used for detecting large leak. But the method depending on pressure is simple and advantageous, therefore the extension of the detecting technique by pressure gradient method to the detection of smaller scale leak using statistical analysis techniques was examined for a pipeline in steady operation in this study. Since the flow in a pipe irregularly varies during pumping, statistical means is required for the detection of small leak by pressure. The index for detecting leak proposed in this paper is the difference of the pressure gradient at the both ends of a pipeline. The experimental results on water and air in nylon tubes are reported. (Kako, I.)

  5. Double-pulse laser-induced breakdown spectroscopy analysis of scales from petroleum pipelines

    Science.gov (United States)

    Cavalcanti, G. H.; Rocha, A. A.; Damasceno, R. N.; Legnaioli, S.; Lorenzetti, G.; Pardini, L.; Palleschi, V.

    2013-09-01

    Pipeline scales from the Campos Bay Petroleum Field near Rio de Janeiro, Brazil have been analyzed by both Raman spectroscopy and by laser-induced breakdown spectroscopy (LIBS) using a double-pulse, calibration-free approach. Elements that are characteristic of petroleum (e.g. C, H, N, O, Mg, Na, Fe and V) were detected, in addition to the Ca, Al, and Si which form the matrix of the scale. The LIBS results were compared with the results of micro-Raman spectroscopy, which confirmed the nature of the incrustations inferred by the LIBS analysis. Results of this preliminary study suggest that diffusion of pipe material into the pipeline intake column plays an important role in the growth of scale. Thanks to the simplicity and relative low cost of equipment and to the fact that no special chemical pre-treatment of the samples is needed, LIBS can offer very fast acquisition of data and the possibility of in situ measurements. LIBS could thus represent an alternative or complementary method for the chemical characterization of the scales by comparison to conventional analytical techniques, such as X-ray diffraction or X-ray fluorescence.

  6. Constructing Flexible, Configurable, ETL Pipelines for the Analysis of "Big Data" with Apache OODT

    Science.gov (United States)

    Hart, A. F.; Mattmann, C. A.; Ramirez, P.; Verma, R.; Zimdars, P. A.; Park, S.; Estrada, A.; Sumarlidason, A.; Gil, Y.; Ratnakar, V.; Krum, D.; Phan, T.; Meena, A.

    2013-12-01

    A plethora of open source technologies for manipulating, transforming, querying, and visualizing 'big data' have blossomed and matured in the last few years, driven in large part by recognition of the tremendous value that can be derived by leveraging data mining and visualization techniques on large data sets. One facet of many of these tools is that input data must often be prepared into a particular format (e.g.: JSON, CSV), or loaded into a particular storage technology (e.g.: HDFS) before analysis can take place. This process, commonly known as Extract-Transform-Load, or ETL, often involves multiple well-defined steps that must be executed in a particular order, and the approach taken for a particular data set is generally sensitive to the quantity and quality of the input data, as well as the structure and complexity of the desired output. When working with very large, heterogeneous, unstructured or semi-structured data sets, automating the ETL process and monitoring its progress becomes increasingly important. Apache Object Oriented Data Technology (OODT) provides a suite of complementary data management components called the Process Control System (PCS) that can be connected together to form flexible ETL pipelines as well as browser-based user interfaces for monitoring and control of ongoing operations. The lightweight, metadata driven middleware layer can be wrapped around custom ETL workflow steps, which themselves can be implemented in any language. Once configured, it facilitates communication between workflow steps and supports execution of ETL pipelines across a distributed cluster of compute resources. As participants in a DARPA-funded effort to develop open source tools for large-scale data analysis, we utilized Apache OODT to rapidly construct custom ETL pipelines for a variety of very large data sets to prepare them for analysis and visualization applications. We feel that OODT, which is free and open source software available through the Apache

  7. Analysis of the failed threaded rod from the support of the pipelines from CNE Cernavoda

    International Nuclear Information System (INIS)

    Fulger, M.; Mihalache, M.; Velciu, L.; Nitu, A.; Puscasu, C.

    2016-01-01

    The goal of the current study was analysis of one threaded rod from the support of pipelines from CNE Cernavoda raw water cooling system (RCW) to identify the causes of its breakage. For the failure analysis, were used following techniques: optical microscopy, scanning electron microscopy/ energy dispersive X - ray spectrometry (EDS) and mechanical tries (Brinell hardness). The conclusion was the failure had been caused by improper mounting of the rod in the spring guide system. Thus, a complex distribution of tensions emerged, rather than the vertical distribution as designed for the guide with spring. On the other hand, the presence of a hard impurity (titanium carbide), in the threaded region and the usage of a material with greater hardness and with higher chrome composition than specified in the project, had favored the appearance of a fatigue fissure, leading to a tear in the rod. (authors)

  8. Loading and stress analysis of gas pipeline structures; Analise de esforcos e tensoes em estruturas de gasodutos durante despressurizacoes

    Energy Technology Data Exchange (ETDEWEB)

    Frisoli, Caetano [TRANSPETRO - PETROBRAS Transporte S.A., Rio de Janeiro, RJ (Brazil); Frota, Cristiane Souto [TBG - Transportadora Brasileira Gasoduto Bolivia Brasil S.A., Rio de Janeiro, RJ (Brazil); Silva, Luis Fernando Figueira da; Carvalho, Marcio da Silveira [Pontificia Univ. Catolica do Rio de Janeiro, RJ (Brazil). Dept. de Engenharia Mecanica; Savi, Marcelo Amorim [Universidade Federal, Rio de Janeiro, RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia. Dept. de Engenharia Mecanica; Pacheco, Pedro Manuel Calas Lopes [Centro Federal de Educacao Tecnologica do Rio de Janeiro (CEFET-RJ), Rio de Janeiro, RJ (Brazil)

    2003-07-01

    Repairing and maintenance activities on Bolivia-Brazil gas pipeline often need blow down lines. During the blow down process, the high speed of discharging gases imposes great efforts to the structures. A detailed analysis of this situation is essential for a safe operation. This paper describes two phases of a project, developed under TBG coordination. It consists in analyzing the stress and forces involved in this operation, in order to design facilities to blow down pipes and develop a safe blow down procedure for the gas pipeline. The first phase consists of a supersonic flowing simulation in the blow down gas pipeline device. The pressure behavior, mass flow and the speed at the device's ending point are calculated for different operational conditions. In the second phase, the equivalent loading caused by blow down operations is used as input in a stress analysis program to determine stress, critical sessions evaluation and material recommendations for blow down devices. (author)

  9. Stochastic analysis of uncertain thermal characteristic of foundation soils surrounding the crude oil pipeline in permafrost regions

    International Nuclear Information System (INIS)

    Wang, Tao; Zhou, Guoqing; Wang, Jianzhou; Zhao, Xiaodong

    2016-01-01

    Highlights: • The influence of stochastic properties and conditions on permafrost foundation was investigated. • A stochastic analysis for the uncertain thermal characteristic of crude oil pipe is presented. • The mean temperature and standard deviation of foundation soils are obtained and analyzed. • Average standard deviation and maximum standard deviation of foundation soils increase with time. - Abstract: For foundation soils surrounding the crude oil pipeline in permafrost regions, the soil properties and the upper boundary conditions are stochastic because of complex geological processes and changeable atmospheric environment. The conventional finite element analysis of thermal characteristics for crude oil pipeline is always deterministic, rather than taking stochastic parameters and conditions into account. This study investigated the stochastic influence of an underground crude oil pipeline on the thermal stability of the permafrost foundation on the basis of a stochastic analysis model and the stochastic finite element method. A stochastic finite element program is compiled by Matrix Laboratory (MATLAB) software, and the random temperature fields of foundation soils surrounding a crude oil pipeline in a permafrost region are obtained and analyzed by Neumann stochastic finite element method (NSFEM). The results provide a new way to predict the thermal effects of the crude oil pipeline in permafrost regions, and it shows that the standard deviations in temperature increase with time when considering the stochastic effect of soil properties and boundary conditions, which imply that the results of conventional deterministic analysis may be far from the true value, even if in different seasons. It can improve our understanding of the random temperature field of foundation soils surrounding the crude oil pipeline and provide a theoretical basis for actual engineering design in permafrost regions.

  10. Leak detection method for long pipeline based on dynamic pressure and wavelet analysis

    Energy Technology Data Exchange (ETDEWEB)

    Xu, Bin; Wang, Likun; Wang, Hongchao; Xiong, Min; Yu, Dongliang; Tan, Dongjie [RnD center of PetroChina Pipeline Company, Langfang, Hebei, (China)

    2010-07-01

    Leaks appear frequently in pipelines, raising the possibility of safety issues. The detection of pipeline leakage is very important for the pipeline industry. This paper investigated a leak detection method on a long pipeline using a dynamic pressure sensor. A new leakage system is proposed based on the measurements obtained from this dynamic pressure sensor. The data were analyzed using the wavelet transformation method. First, the signal provided by the pressure sensor its denoised and then leaks are detected from the presence of singularities in the signal. Field tests were carried out on a product oil pipeline of 94 km length. The in-field test results showed that the minimum ratio of detectable leakage is 0.6 % of throughput and the location error is below 300 m. The response time is less than 120 seconds. This new system has been applied in 5000 km pipelines in China and is proving its efficiency in detecting leak points.

  11. Analysis of water hammer in pipelines by partial fraction expansion of transfer function in frequency domain

    International Nuclear Information System (INIS)

    Lee, Jun Shin; Lee, Wook Ryun; Oh, Ki Yong; Kim, Bong Ki

    2010-01-01

    Understanding water hammer is very important to the prevention of excessive pressure build-up in pipelines. Many researchers have studied this phenomenon, drawing effective solutions through the time- and frequency-domain approaches. For the purposes of enhancing the advantages of the frequency-domain approach and, thereby, rendering investigations of the dynamic characteristics of pipelines more effective, we propose partial fraction expansion of the transfer function between the unsteady flow source and a given section. We simulate the proposed approach using a vibration element inserted into a simple pipeline, deducing much useful physical information pertaining to pipeline design. We conclude that locating the resonance of the vibration element between the first and second resonances of the pipeline can mitigate the excessive pressure build-up attendant on the occurrence of water hammer. Our method of partial fraction expansion is expected to be useful and effective in analyses of unsteady flows in pipelines

  12. StreakDet data processing and analysis pipeline for space debris optical observations

    Science.gov (United States)

    Virtanen, Jenni; Flohrer, Tim; Muinonen, Karri; Granvik, Mikael; Torppa, Johanna; Poikonen, Jonne; Lehti, Jussi; Santti, Tero; Komulainen, Tuomo; Naranen, Jyri

    We describe a novel data processing and analysis pipeline for optical observations of space debris. The monitoring of space object populations requires reliable acquisition of observational data, to support the development and validation of space debris environment models, the build-up and maintenance of a catalogue of orbital elements. In addition, data is needed for the assessment of conjunction events and for the support of contingency situations or launches. The currently available, mature image processing algorithms for detection and astrometric reduction of optical data cover objects that cross the sensor field-of-view comparably slowly, and within a rather narrow, predefined range of angular velocities. By applying specific tracking techniques, the objects appear point-like or as short trails in the exposures. However, the general survey scenario is always a “track before detect” problem, resulting in streaks, i.e., object trails of arbitrary lengths, in the images. The scope of the ESA-funded StreakDet (Streak detection and astrometric reduction) project is to investigate solutions for detecting and reducing streaks from optical images, particularly in the low signal-to-noise ratio (SNR) domain, where algorithms are not readily available yet. For long streaks, the challenge is to extract precise position information and related registered epochs with sufficient precision. Although some considerations for low-SNR processing of streak-like features are available in the current image processing and computer vision literature, there is a need to discuss and compare these approaches for space debris analysis, in order to develop and evaluate prototype implementations. In the StreakDet project, we develop algorithms applicable to single images (as compared to consecutive frames of the same field) obtained with any observing scenario, including space-based surveys and both low- and high-altitude populations. The proposed processing pipeline starts from the

  13. Analysis of the strength of sea gas pipelines of positive buoyancy conditioned by glaciation

    Science.gov (United States)

    Malkov, Venyamin; Kurbatova, Galina; Ermolaeva, Nadezhda; Malkova, Yulia; Petrukhin, Ruslan

    2018-05-01

    A technique for estimating the stress state of a gas pipeline laid along the seabed in northern latitudes in the presence of glaciation is proposed. It is assumed that the pipeline lies on the bottom of the seabed, but under certain conditions on the some part of the pipeline a glaciation is formed and the gas pipeline section in the place of glaciation can come off the ground due to the positive buoyancy of the ice. Calculation of additional stresses caused by bending of the pipeline is of practical interest for strength evaluation. The gas pipeline is a two-layer cylindrical shell of circular cross section. The inner layer is made of high-strength steel, the outer layer is made of reinforced ferroconcrete. The proposed methodology for calculating the gas pipeline for strength is based on the equations of the theory of shells. The procedure takes into account the effect of internal gas pressure, external pressure of sea water, the weight of two-layer gas pipeline and the weight of the ice layer. The lifting force created by the displaced fluid and the positive buoyancy of the ice is also taken into account. It is significant that the listed loads cause only two types of deformation of the gas pipeline: axisymmetric and antisymmetric. The interaction of the pipeline with the ground as an elastic foundation is not considered. The main objective of the research is to establish the fact of separation of part of the pipeline from the ground. The method of calculations of stresses and deformations occurring in a model sea gas pipeline is presented.

  14. Northern pipelines : backgrounder

    International Nuclear Information System (INIS)

    2002-04-01

    Most analysts agree that demand for natural gas in North America will continue to grow. Favourable market conditions created by rising demand and declining production have sparked renewed interest in northern natural gas development. The 2002 Annual Energy Outlook forecasted U.S. consumption to increase at an annual average rate of 2 per cent from 22.8 trillion cubic feet to 33.8 TCF by 2020, mostly due to rapid growth in demand for electric power generation. Natural gas prices are also expected to increase at an annual average rate of 1.6 per cent, reaching $3.26 per thousand cubic feet in 2020. There are currently 3 proposals for pipelines to move northern gas to US markets. They include a stand-alone Mackenzie Delta Project, the Alaska Highway Pipeline Project, and an offshore route that would combine Alaskan and Canadian gas in a pipeline across the floor of the Beaufort Sea. Current market conditions and demand suggest that the projects are not mutually exclusive, but complimentary. The factors that differentiate northern pipeline proposals are reserves, preparedness for market, costs, engineering, and environmental differences. Canada has affirmed its role to provide the regulatory and fiscal certainty needed by industry to make investment decisions. The Government of the Yukon does not believe that the Alaska Highway Project will shut in Mackenzie Delta gas, but will instead pave the way for development of a new northern natural gas industry. The Alaska Highway Pipeline Project will bring significant benefits for the Yukon, the Northwest Territories and the rest of Canada. Unresolved land claims are one of the challenges that has to be addressed for both Yukon and the Northwest Territories, as the proposed Alaska Highway Pipeline will travel through traditional territories of several Yukon first Nations. 1 tab., 4 figs

  15. An empirical analysis of cigarette demand in Argentina.

    Science.gov (United States)

    Martinez, Eugenio; Mejia, Raul; Pérez-Stable, Eliseo J

    2015-01-01

    To estimate the long-term and short-term effects on cigarette demand in Argentina based on changes in cigarette price and income per person >14 years old. Public data from the Ministry of Economics and Production were analysed based on monthly time series data between 1994 and 2010. The econometric analysis used cigarette consumption per person >14 years of age as the dependent variable and the real income per person >14 years old and the real average price of cigarettes as independent variables. Empirical analyses were done to verify the order of integration of the variables, to test for cointegration to capture the long-term effects and to capture the short-term dynamics of the variables. The demand for cigarettes in Argentina was affected by changes in real income and the real average price of cigarettes. The long-term income elasticity was equal to 0.43, while the own-price elasticity was equal to -0.31, indicating a 10% increase in the growth of real income led to an increase in cigarette consumption of 4.3% and a 10% increase in the price produced a fall of 3.1% in cigarette consumption. The vector error correction model estimated that the short-term income elasticity was 0.25 and the short-term own-price elasticity of cigarette demand was -0.15. A simulation exercise showed that increasing the price of cigarettes by 110% would maximise revenues and result in a potentially large decrease in total cigarette consumption. Econometric analyses of cigarette consumption and their relationship with cigarette price and income can provide valuable information for developing cigarette price policy. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  16. A reference methylome database and analysis pipeline to facilitate integrative and comparative epigenomics.

    Directory of Open Access Journals (Sweden)

    Qiang Song

    Full Text Available DNA methylation is implicated in a surprising diversity of regulatory, evolutionary processes and diseases in eukaryotes. The introduction of whole-genome bisulfite sequencing has enabled the study of DNA methylation at a single-base resolution, revealing many new aspects of DNA methylation and highlighting the usefulness of methylome data in understanding a variety of genomic phenomena. As the number of publicly available whole-genome bisulfite sequencing studies reaches into the hundreds, reliable and convenient tools for comparing and analyzing methylomes become increasingly important. We present MethPipe, a pipeline for both low and high-level methylome analysis, and MethBase, an accompanying database of annotated methylomes from the public domain. Together these resources enable researchers to extract interesting features from methylomes and compare them with those identified in public methylomes in our database.

  17. Analysis of oil-pipeline distribution of multiple products subject to delivery time-windows

    Science.gov (United States)

    Jittamai, Phongchai

    This dissertation defines the operational problems of, and develops solution methodologies for, a distribution of multiple products into oil pipeline subject to delivery time-windows constraints. A multiple-product oil pipeline is a pipeline system composing of pipes, pumps, valves and storage facilities used to transport different types of liquids. Typically, products delivered by pipelines are petroleum of different grades moving either from production facilities to refineries or from refineries to distributors. Time-windows, which are generally used in logistics and scheduling areas, are incorporated in this study. The distribution of multiple products into oil pipeline subject to delivery time-windows is modeled as multicommodity network flow structure and mathematically formulated. The main focus of this dissertation is the investigation of operating issues and problem complexity of single-source pipeline problems and also providing solution methodology to compute input schedule that yields minimum total time violation from due delivery time-windows. The problem is proved to be NP-complete. The heuristic approach, a reversed-flow algorithm, is developed based on pipeline flow reversibility to compute input schedule for the pipeline problem. This algorithm is implemented in no longer than O(T·E) time. This dissertation also extends the study to examine some operating attributes and problem complexity of multiple-source pipelines. The multiple-source pipeline problem is also NP-complete. A heuristic algorithm modified from the one used in single-source pipeline problems is introduced. This algorithm can also be implemented in no longer than O(T·E) time. Computational results are presented for both methodologies on randomly generated problem sets. The computational experience indicates that reversed-flow algorithms provide good solutions in comparison with the optimal solutions. Only 25% of the problems tested were more than 30% greater than optimal values and

  18. Model for Analysis of Energy Demand (MAED-2). User's manual

    International Nuclear Information System (INIS)

    2007-01-01

    The IAEA has been supporting its Member States in the area of energy planning for sustainable development. Development and dissemination of appropriate methodologies and their computer codes are important parts of this support. This manual has been produced to facilitate the use of the MAED model: Model for Analysis of Energy Demand. The methodology of the MAED model was originally developed by. B. Chateau and B. Lapillonne of the Institute Economique et Juridique de l'Energie (IEJE) of the University of Grenoble, France, and was presented as the MEDEE model. Since then the MEDEE model has been developed and adopted to be appropriate for modelling of various energy demand system. The IAEA adopted MEDEE-2 model and incorporated important modifications to make it more suitable for application in the developing countries, and it was named as the MAED model. The first version of the MAED model was designed for the DOS based system, which was later on converted for the Windows system. This manual presents the latest version of the MAED model. The most prominent feature of this version is its flexibility for representing structure of energy consumption. The model now allows country-specific representations of energy consumption patterns using the MAED methodology. The user can now disaggregate energy consumption according to the needs and/or data availability in her/his country. As such, MAED has now become a powerful tool for modelling widely diverse energy consumption patterns. This manual presents the model in details and provides guidelines for its application

  19. Model for Analysis of Energy Demand (MAED-2)

    International Nuclear Information System (INIS)

    2007-01-01

    The IAEA has been supporting its Member States in the area of energy planning for sustainable development. Development and dissemination of appropriate methodologies and their computer codes are important parts of this support. This manual has been produced to facilitate the use of the MAED model: Model for Analysis of Energy Demand. The methodology of the MAED model was originally developed by. B. Chateau and B. Lapillonne of the Institute Economique et Juridique de l'Energie (IEJE) of the University of Grenoble, France, and was presented as the MEDEE model. Since then the MEDEE model has been developed and adopted to be appropriate for modelling of various energy demand system. The IAEA adopted MEDEE-2 model and incorporated important modifications to make it more suitable for application in the developing countries, and it was named as the MAED model. The first version of the MAED model was designed for the DOS based system, which was later on converted for the Windows system. This manual presents the latest version of the MAED model. The most prominent feature of this version is its flexibility for representing structure of energy consumption. The model now allows country-specific representations of energy consumption patterns using the MAED methodology. The user can now disaggregate energy consumption according to the needs and/or data availability in her/his country. As such, MAED has now become a powerful tool for modelling widely diverse energy consumption patterns. This manual presents the model in details and provides guidelines for its application

  20. Model for Analysis of Energy Demand (MAED-2). User's manual

    International Nuclear Information System (INIS)

    2006-01-01

    The IAEA has been supporting its Member States in the area of energy planning for sustainable development. Development and dissemination of appropriate methodologies and their computer codes are important parts of this support. This manual has been produced to facilitate the use of the MAED model: Model for Analysis of Energy Demand. The methodology of the MAED model was originally developed by. B. Chateau and B. Lapillonne of the Institute Economique et Juridique de l'Energie (IEJE) of the University of Grenoble, France, and was presented as the MEDEE model. Since then the MEDEE model has been developed and adopted to be appropriate for modelling of various energy demand system. The IAEA adopted MEDEE-2 model and incorporated important modifications to make it more suitable for application in the developing countries, and it was named as the MAED model. The first version of the MAED model was designed for the DOS based system, which was later on converted for the Windows system. This manual presents the latest version of the MAED model. The most prominent feature of this version is its flexibility for representing structure of energy consumption. The model now allows country-specific representations of energy consumption patterns using the MAED methodology. The user can now disaggregate energy consumption according to the needs and/or data availability in her/his country. As such, MAED has now become a powerful tool for modelling widely diverse energy consumption patterns. This manual presents the model in details and provides guidelines for its application

  1. Dynamic Analysis of Money Demand Function: Case of Turkey*

    OpenAIRE

    doğru, bülent

    2013-01-01

    In this paper, the dynamic determinants of money demand function and the long-run and short-run relationships between money demand, income and nominal interest rates are examined in Turkey for the time period 1980-2012. In particular we estimate a dynamic specification of a log money demand function based on Keynesian liquidity preference theory to ascertain the relevant elasticity of money demand. The empirical results of the study show that in Turkey inflation, exchange rate and money deman...

  2. Pipelines in power plants

    International Nuclear Information System (INIS)

    Oude-Hengel, H.H.

    1978-01-01

    Since the end of the Sixties, steam-transporting pipelines are given great attention, as pipeline components often fail, partially even long before their designed operation time is over. Thus, experts must increasingly deal with questions of pipelines and their components. Design and calculation, production and operation of pipelines are included in the discussion. Within the frame of this discussion, planners, producers, operators, and technical surveillance personnel must be able to offer a homogenous 'plan for assuring the quality of pipelines' in fossil and nuclear power plants. This book tries to make a contribution to this topic. 'Quality assuring' means efforts made for meeting the demands of quality (reliability). The book does not intend to complete with well-known manuals, as for as a complete covering of the topic is concerned. A substantial part of its sections serves to show how quality assurance of pipelines can be at least partially obtained by surveillance measures beginning with the planning, covering the production, and finally accompanying the operation. There is hardly need to mention that the sort of planning, production, and operation has an important influence on the quality. This is why another part of the sections contain process aspects from the view of the planners, producers, and operators. (orig.) [de

  3. Numerical Analysis of Damage Iinitiation and Development in Bends of Steel Pipelines

    NARCIS (Netherlands)

    Swart, A.E.

    2010-01-01

    Gasses and fluids are transported via an extensive infrastructure of steel pipelines. In the design of pipeline systems the use of elbows (pipe bends) is important because their flexibility makes them able to sustain significant deformations. These bends can be subjected to permanent deformations

  4. Thermohydraulics analysis for pipeline increase capacity; Estudo termohidraulico para ampliacao de capacidade de oleodutos

    Energy Technology Data Exchange (ETDEWEB)

    Carneiro, Leonardo Motta; Krause, Philipe Barroso; Pires, Luis Fernando G. [Pontificia Univ. Catolica do Rio de Janeiro (PUC-Rio), RJ (Brazil). Dept. de Engenharia Mecanica. Nucleo de Simulacao Termohidraulica de Dutos - SIMDUT; Souza, Antonio Geraldo de [TRANSPETRO, Rio de Janeiro, RJ (Brazil)

    2008-07-01

    This paper intent to assist the development of a oil pipeline expansion study. It will show that each pipeline has its own solution, because it has several variables of technical, economical and environmental order, as well as several ones of political nature. (author)

  5. archiDART v3.0: A new data analysis pipeline allowing the topological analysis of plant root systems.

    Science.gov (United States)

    Delory, Benjamin M; Li, Mao; Topp, Christopher N; Lobet, Guillaume

    2018-01-01

    Quantifying plant morphology is a very challenging task that requires methods able to capture the geometry and topology of plant organs at various spatial scales. Recently, the use of persistent homology as a mathematical framework to quantify plant morphology has been successfully demonstrated for leaves, shoots, and root systems. In this paper, we present a new data analysis pipeline implemented in the R package archiDART to analyse root system architectures using persistent homology. In addition, we also show that both geometric and topological descriptors are necessary to accurately compare root systems and assess their natural complexity.

  6. Risk Analysis on Leakage Failure of Natural Gas Pipelines by Fuzzy Bayesian Network with a Bow-Tie Model

    Directory of Open Access Journals (Sweden)

    Xian Shan

    2017-01-01

    Full Text Available Pipeline is the major mode of natural gas transportation. Leakage of natural gas pipelines may cause explosions and fires, resulting in casualties, environmental damage, and material loss. Efficient risk analysis is of great significance for preventing and mitigating such potential accidents. The objective of this study is to present a practical risk assessment method based on Bow-tie model and Bayesian network for risk analysis of natural gas pipeline leakage. Firstly, identify the potential risk factors and consequences of the failure. Then construct the Bow-tie model, use the quantitative analysis of Bayesian network to find the weak links in the system, and make a prediction of the control measures to reduce the rate of the accident. In order to deal with the uncertainty existing in the determination of the probability of basic events, fuzzy logic method is used. Results of a case study show that the most likely causes of natural gas pipeline leakage occurrence are parties ignore signage, implicit signage, overload, and design defect of auxiliaries. Once the leakage occurs, it is most likely to result in fire and explosion. Corresponding measures taken on time will reduce the disaster degree of accidents to the least extent.

  7. Quantitative risk assessment using the capacity-demand analysis

    International Nuclear Information System (INIS)

    Morgenroth, M.; Donnelly, C.R.; Westermann, G.D.; Huang, J.H.S.; Lam, T.M.

    1999-01-01

    The hydroelectric industry's recognition of the importance of avoiding unexpected failure, or forced outages, led to the development of probabilistic, or risk-based, methods in order to attempt to quantify exposures. Traditionally, such analysis has been carried out by qualitative assessments, relying on experience and sound engineering judgment to determine the optimum time to maintain, repair or replace a part or system. Depending on the nature of the problem, however, and the level of experience of those included in the decision making process, it is difficult to find a balance between acting proactively and accepting some amount of risk. The development of a practical means for establishing the probability of failure of any part or system, based on the determination of the statistical distribution of engineering properties such as acting stresses, is discussed. The capacity-demand analysis methodology, coupled with probablistic, risk-based analysis, permits all the factors associated with a decision to rehabilitate or replace a part, including the risks associated with the timing of the decision, to be assessed in a transparent and defendable manner. The methodology does not eliminate judgment altogether, but does move it from the level of estimating the risk of failure to the lower level of estimating variability in material properties, uncertainty in loading, and the uncertainties inherent in any engineering analysis. The method was successfully used in 1998 to carry out a comprehensive, economic risk analysis for the entire water conveyance system of a 90 year old hydropower station. The analysis included a number of diverse parts ranging from rock slopes and aging steel and concrete conduits, and the method allowed a rational assessment of the risks associated with reach of these varied parts to be determined, permitting the essential remedial works to be prioritized. 14 refs., 4 figs

  8. Algorithm sensitivity analysis and parameter tuning for tissue image segmentation pipelines

    Science.gov (United States)

    Kurç, Tahsin M.; Taveira, Luís F. R.; Melo, Alba C. M. A.; Gao, Yi; Kong, Jun; Saltz, Joel H.

    2017-01-01

    Abstract Motivation: Sensitivity analysis and parameter tuning are important processes in large-scale image analysis. They are very costly because the image analysis workflows are required to be executed several times to systematically correlate output variations with parameter changes or to tune parameters. An integrated solution with minimum user interaction that uses effective methodologies and high performance computing is required to scale these studies to large imaging datasets and expensive analysis workflows. Results: The experiments with two segmentation workflows show that the proposed approach can (i) quickly identify and prune parameters that are non-influential; (ii) search a small fraction (about 100 points) of the parameter search space with billions to trillions of points and improve the quality of segmentation results (Dice and Jaccard metrics) by as much as 1.42× compared to the results from the default parameters; (iii) attain good scalability on a high performance cluster with several effective optimizations. Conclusions: Our work demonstrates the feasibility of performing sensitivity analyses, parameter studies and auto-tuning with large datasets. The proposed framework can enable the quantification of error estimations and output variations in image segmentation pipelines. Availability and Implementation: Source code: https://github.com/SBU-BMI/region-templates/. Contact: teodoro@unb.br Supplementary information: Supplementary data are available at Bioinformatics online. PMID:28062445

  9. An analysis pipeline for the inference of protein-protein interaction networks

    Energy Technology Data Exchange (ETDEWEB)

    Taylor, Ronald C.; Singhal, Mudita; Daly, Don S.; Gilmore, Jason M.; Cannon, William R.; Domico, Kelly O.; White, Amanda M.; Auberry, Deanna L.; Auberry, Kenneth J.; Hooker, Brian S.; Hurst, G. B.; McDermott, Jason E.; McDonald, W. H.; Pelletier, Dale A.; Schmoyer, Denise A.; Wiley, H. S.

    2009-12-01

    An analysis pipeline has been created for deployment of a novel algorithm, the Bayesian Estimator of Protein-Protein Association Probabilities (BEPro), for use in the reconstruction of protein-protein interaction networks. We have combined the Software Environment for BIological Network Inference (SEBINI), an interactive environment for the deployment and testing of network inference algorithms that use high-throughput data, and the Collective Analysis of Biological Interaction Networks (CABIN), software that allows integration and analysis of protein-protein interaction and gene-to-gene regulatory evidence obtained from multiple sources, to allow interactions computed by BEPro to be stored, visualized, and further analyzed. Incorporating BEPro into SEBINI and automatically feeding the resulting inferred network into CABIN, we have created a structured workflow for protein-protein network inference and supplemental analysis from sets of mass spectrometry bait-prey experiment data. SEBINI demo site: https://www.emsl.pnl.gov /SEBINI/ Contact: ronald.taylor@pnl.gov. BEPro is available at http://www.pnl.gov/statistics/BEPro3/index.htm. Contact: ds.daly@pnl.gov. CABIN is available at http://www.sysbio.org/dataresources/cabin.stm. Contact: mudita.singhal@pnl.gov.

  10. Evolution of residential electricity demand by end-use in Quebec 1979-1989: A conditional demand analysis

    International Nuclear Information System (INIS)

    Lafrance, G.; Perron, D.

    1994-01-01

    Some of the main conclusions are presented from a temporal analysis of three large-scale electricity demand surveys (1979, 1984, and 1989) for the Quebec residential sector. A regression method called conditional demand analysis was used. The study allows a number of conclusions about certain electricity consumption trends by end-uses from 1979 to 1989 by household type and by vintage category. For example, the results indicate that decreasing electricity consumption between 1979 and 1984 for a typical dwelling equipped with electric space heating was mainly related to a large decline in net heating consumption. Overall, the results suggest that some permanent energy savings have been realized by a typical household equipped with an electric heating system due to improvements in standards and changes in customer behavior. These energy savings were partly offset by increased electricity consumption from the purchase of new appliances and an increase in the demand for hot water. 7 refs., 1 fig., 8 tabs

  11. BioMaS: a modular pipeline for Bioinformatic analysis of Metagenomic AmpliconS.

    Science.gov (United States)

    Fosso, Bruno; Santamaria, Monica; Marzano, Marinella; Alonso-Alemany, Daniel; Valiente, Gabriel; Donvito, Giacinto; Monaco, Alfonso; Notarangelo, Pasquale; Pesole, Graziano

    2015-07-01

    Substantial advances in microbiology, molecular evolution and biodiversity have been carried out in recent years thanks to Metagenomics, which allows to unveil the composition and functions of mixed microbial communities in any environmental niche. If the investigation is aimed only at the microbiome taxonomic structure, a target-based metagenomic approach, here also referred as Meta-barcoding, is generally applied. This approach commonly involves the selective amplification of a species-specific genetic marker (DNA meta-barcode) in the whole taxonomic range of interest and the exploration of its taxon-related variants through High-Throughput Sequencing (HTS) technologies. The accessibility to proper computational systems for the large-scale bioinformatic analysis of HTS data represents, currently, one of the major challenges in advanced Meta-barcoding projects. BioMaS (Bioinformatic analysis of Metagenomic AmpliconS) is a new bioinformatic pipeline designed to support biomolecular researchers involved in taxonomic studies of environmental microbial communities by a completely automated workflow, comprehensive of all the fundamental steps, from raw sequence data upload and cleaning to final taxonomic identification, that are absolutely required in an appropriately designed Meta-barcoding HTS-based experiment. In its current version, BioMaS allows the analysis of both bacterial and fungal environments starting directly from the raw sequencing data from either Roche 454 or Illumina HTS platforms, following two alternative paths, respectively. BioMaS is implemented into a public web service available at https://recasgateway.ba.infn.it/ and is also available in Galaxy at http://galaxy.cloud.ba.infn.it:8080 (only for Illumina data). BioMaS is a friendly pipeline for Meta-barcoding HTS data analysis specifically designed for users without particular computing skills. A comparative benchmark, carried out by using a simulated dataset suitably designed to broadly represent

  12. Leadership Pipeline

    DEFF Research Database (Denmark)

    Elmholdt, Claus Westergård

    2012-01-01

    Artiklen analyserer grundlaget for Leadership Pipeline modellen med henblik på en vurdering af substansen bag modellen, og perspektiverne for generalisering af modellen til en dansk organisatorisk kontekst.......Artiklen analyserer grundlaget for Leadership Pipeline modellen med henblik på en vurdering af substansen bag modellen, og perspektiverne for generalisering af modellen til en dansk organisatorisk kontekst....

  13. Bayesian Analysis of Demand Elasticity in the Italian Electricity Market

    OpenAIRE

    D'Errico, Maria; Bollino, Carlo

    2015-01-01

    The liberalization of the Italian electricity market is a decade old. Within these last ten years, the supply side has been extensively analyzed, but not the demand side. The aim of this paper is to provide a new method for estimation of the demand elasticity, based on Bayesian methods applied to the Italian electricity market. We used individual demand bids data in the day-ahead market in the Italian Power Exchange (IPEX), for 2011, in order to construct an aggregate demand function at the h...

  14. Demand response driven load pattern elasticity analysis for smart households

    NARCIS (Netherlands)

    Paterakis, N.G.; Catalao, J.P.S.; Tascikaraoglu, A.; Bakirtzis, A.G.; Erdinc, O.

    2015-01-01

    The recent interest in smart grid vision enables several smart applications in different parts of the power grid structure, where specific importance should be given to the demand side. As a result, changes in load patterns due to demand response (DR) activities at end-user premises, such as smart

  15. Household food demand analysis: a survey of semiurban and rural ...

    African Journals Online (AJOL)

    In like manner, increased supply of the highly price-elastic commodities would benefit both the consumer and the producer in that an accompanying reduction in prices with increased supply would lead to a higher margin of demand than the fall in price. Finally, it is suggested that food demand problems in the study area ...

  16. Analysis of Fish Demand in Sokoto Metropolis, Sokoto, Nigeria M ...

    African Journals Online (AJOL)

    acer

    It was also revealed that disposable income, price of substitutes, level of education and household size positively influenced fish demand while price of fish influenced fish demand negatively. ..... held at the Gateway hotel, Abeokuta Nigeria. 17th-23rd October ... handbook published by the Budget and. Economic Planning ...

  17. sRNAnalyzer—a flexible and customizable small RNA sequencing data analysis pipeline

    Science.gov (United States)

    Kim, Taek-Kyun; Baxter, David; Scherler, Kelsey; Gordon, Aaron; Fong, Olivia; Etheridge, Alton; Galas, David J.

    2017-01-01

    Abstract Although many tools have been developed to analyze small RNA sequencing (sRNA-Seq) data, it remains challenging to accurately analyze the small RNA population, mainly due to multiple sequence ID assignment caused by short read length. Additional issues in small RNA analysis include low consistency of microRNA (miRNA) measurement results across different platforms, miRNA mapping associated with miRNA sequence variation (isomiR) and RNA editing, and the origin of those unmapped reads after screening against all endogenous reference sequence databases. To address these issues, we built a comprehensive and customizable sRNA-Seq data analysis pipeline—sRNAnalyzer, which enables: (i) comprehensive miRNA profiling strategies to better handle isomiRs and summarization based on each nucleotide position to detect potential SNPs in miRNAs, (ii) different sequence mapping result assignment approaches to simulate results from microarray/qRT-PCR platforms and a local probabilistic model to assign mapping results to the most-likely IDs, (iii) comprehensive ribosomal RNA filtering for accurate mapping of exogenous RNAs and summarization based on taxonomy annotation. We evaluated our pipeline on both artificial samples (including synthetic miRNA and Escherichia coli cultures) and biological samples (human tissue and plasma). sRNAnalyzer is implemented in Perl and available at: http://srnanalyzer.systemsbiology.net/. PMID:29069500

  18. Integrated sequence analysis pipeline provides one-stop solution for identifying disease-causing mutations.

    Science.gov (United States)

    Hu, Hao; Wienker, Thomas F; Musante, Luciana; Kalscheuer, Vera M; Kahrizi, Kimia; Najmabadi, Hossein; Ropers, H Hilger

    2014-12-01

    Next-generation sequencing has greatly accelerated the search for disease-causing defects, but even for experts the data analysis can be a major challenge. To facilitate the data processing in a clinical setting, we have developed a novel medical resequencing analysis pipeline (MERAP). MERAP assesses the quality of sequencing, and has optimized capacity for calling variants, including single-nucleotide variants, insertions and deletions, copy-number variation, and other structural variants. MERAP identifies polymorphic and known causal variants by filtering against public domain databases, and flags nonsynonymous and splice-site changes. MERAP uses a logistic model to estimate the causal likelihood of a given missense variant. MERAP considers the relevant information such as phenotype and interaction with known disease-causing genes. MERAP compares favorably with GATK, one of the widely used tools, because of its higher sensitivity for detecting indels, its easy installation, and its economical use of computational resources. Upon testing more than 1,200 individuals with mutations in known and novel disease genes, MERAP proved highly reliable, as illustrated here for five families with disease-causing variants. We believe that the clinical implementation of MERAP will expedite the diagnostic process of many disease-causing defects. © 2014 WILEY PERIODICALS, INC.

  19. Field investigation and analysis of buried pipelines under various seismic environments. Technical report

    Energy Technology Data Exchange (ETDEWEB)

    Wang, L.R.L.

    1982-08-01

    A research project is proposed in which the behavior of oil, water, sewer, and gas pipelines under various seismic environments, including seismic shaking and large ground deformation would be investigated. It is suggested that the investigation be conducted in the Beijing and Tangshan areas. Three major hazards to underground pipelines are identified: the effect of wave propagation; ground rupture and differential movement along fault lines; and soil liquefaction induced by ground shaking. Ruptures or severe distortions of the pipe are most often associated with fault movements, landslides, or ground squeeze associated with fault zones. A model is presented to evaluate the general longitudinal responses of buried pipelines, both segmented and continuous, subjected to ground shakings and vibrations. The results of these tests will be used to develop aseismic codes for buried pipelines.

  20. Analysis on signal properties due to concurrent leaks at two points in water supply pipelines

    International Nuclear Information System (INIS)

    Lee, Young Sup

    2015-01-01

    Intelligent leak detection is an essential component of a underground water supply pipeline network such as a smart water grid system. In this network, numerous leak detection sensors are needed to cover all of the pipelines in a specific area installed at specific regular distances. It is also necessary to determine the existence of any leaks and estimate its location within a short time after it occurs. In this study, the leak signal properties and feasibility of leak location detection were investigated when concurrent leaks occurred at two points in a pipeline. The straight distance between the two leak sensors in the 100A sized cast-iron pipeline was 315.6 m, and their signals were measured with one leak and two concurrent leaks. Each leak location was described after analyzing the frequency properties and cross-correlation of the measured signals.

  1. Analysis on signal properties due to concurrent leaks at two points in water supply pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Young Sup [Dept. of Embedded Systems Engineering, Incheon National University, Incheon (Korea, Republic of)

    2015-02-15

    Intelligent leak detection is an essential component of a underground water supply pipeline network such as a smart water grid system. In this network, numerous leak detection sensors are needed to cover all of the pipelines in a specific area installed at specific regular distances. It is also necessary to determine the existence of any leaks and estimate its location within a short time after it occurs. In this study, the leak signal properties and feasibility of leak location detection were investigated when concurrent leaks occurred at two points in a pipeline. The straight distance between the two leak sensors in the 100A sized cast-iron pipeline was 315.6 m, and their signals were measured with one leak and two concurrent leaks. Each leak location was described after analyzing the frequency properties and cross-correlation of the measured signals.

  2. ANALYSIS OF DEPENDENCE BETWEEN CAPITAL EXPENDUTURES OF CONSTRUCTION WORKS AND GAS DISTRIBUTION PIPELINE DIAMETER

    Directory of Open Access Journals (Sweden)

    Tabunshchikov Yuriy Andreevich

    2012-10-01

    The research also contemplates the structure of expenses associated with the piping of gas distribution networks. Mathematical equations have been derived to perform sufficiently accurate calculations of costs of construction of various types and various lengths of gas pipelines.

  3. Experimental and Numerical Analysis of a Water Emptying Pipeline Using Different Air Valves

    Directory of Open Access Journals (Sweden)

    Oscar E. Coronado-Hernández

    2017-02-01

    Full Text Available The emptying procedure is a common operation that engineers have to face in pipelines. This generates subatmospheric pressure caused by the expansion of air pockets, which can produce the collapse of the system depending on the conditions of the installation. To avoid this problem, engineers have to install air valves in pipelines. However, if air valves are not adequately designed, then the risk in pipelines continues. In this research, a mathematical model is developed to simulate an emptying process in pipelines that can be used for planning this type of operation. The one-dimensional proposed model analyzes the water phase propagation by a new rigid model and the air pockets effect using thermodynamic formulations. The proposed model is validated through measurements of the air pocket absolute pressure, the water velocity and the length of the emptying columns in an experimental facility. Results show that the proposed model can accurately predict the hydraulic characteristic variables.

  4. Roadway network productivity assessment : system-wide analysis under variant travel demand

    Science.gov (United States)

    2008-11-01

    The analysis documented in this report examines the hypothesis that the system-wide productivity of a metropolitan freeway system in peak periods is higher in moderate travel demand conditions than in excessive travel demand conditions. The approach ...

  5. Analysis of several ways to minimize the scatter contribution in radiographic digital images of offshore pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Souza, Edmilson M.; Silva, Ademir X.; Lopes, Ricardo T., E-mail: emonteiro@nuclear.ufrj.b, E-mail: ademir@nuclear.ufrj.b, E-mail: Ricardo@lin.ufrj.b [Coordenacao dos Programas de Pos-Graduacao de Engenharia (PEN/COPPE/UFRJ), Rio de Janeiro, RJ (Brazil). Programa de Engenharia Nuclear; Correa, Samanda C.A., E-mail: scorrea@cnen.gov.b [Comissao Nacional de Energia Nuclear (DIAPI/CGMI/CNEN), Rio de Janeiro, RJ (Brazil). Coordenacao Geral de Instalacoes Medicas e Industriais. Div. de Aplicacoes Industriais

    2011-07-01

    The aim of this work is to evaluate, through MCNPX simulations, several ways to minimize the scatter contribution in radiographic digital images of offshore pipelines. The influence of liquid inside the pipes and water surrounded the pipelines in the scatter contribution will be analyzed. The use of lead screen behind the detector to reduce the backscattered radiation and filter between the radiation source and the pipes will be discussed. (author)

  6. Analysis of several ways to minimize the scatter contribution in radiographic digital images of offshore pipelines

    International Nuclear Information System (INIS)

    Souza, Edmilson M.; Silva, Ademir X.; Lopes, Ricardo T.; Correa, Samanda C.A.

    2011-01-01

    The aim of this work is to evaluate, through MCNPX simulations, several ways to minimize the scatter contribution in radiographic digital images of offshore pipelines. The influence of liquid inside the pipes and water surrounded the pipelines in the scatter contribution will be analyzed. The use of lead screen behind the detector to reduce the backscattered radiation and filter between the radiation source and the pipes will be discussed. (author)

  7. Optimizing the fMRI data-processing pipeline using prediction and reproducibility performance metrics: I. A preliminary group analysis

    DEFF Research Database (Denmark)

    Strother, Stephen C.; Conte, Stephen La; Hansen, Lars Kai

    2004-01-01

    We argue that published results demonstrate that new insights into human brain function may be obscured by poor and/or limited choices in the data-processing pipeline, and review the work on performance metrics for optimizing pipelines: prediction, reproducibility, and related empirical Receiver......, temporal detrending, and between-subject alignment) in a group analysis of BOLD-fMRI scans from 16 subjects performing a block-design, parametric-static-force task. Large-scale brain networks were detected using a multivariate linear discriminant analysis (canonical variates analysis, CVA) that was tuned...... of baseline scans have constant, equal means, and this assumption was assessed with prediction metrics. Higher-order polynomial warps compared to affine alignment had only a minor impact on the performance metrics. We found that both prediction and reproducibility metrics were required for optimizing...

  8. Economic profitability analysis of demand side management program

    International Nuclear Information System (INIS)

    Sheen, J.N.

    2005-01-01

    This study considers both the internal and external costs of the utility in deriving the avoided capacity cost (ACC) and avoided operating cost (AOC) induced in an electric utility caused by the implementation of a demand side management program (DSM). In calculating the ACC, a multiple objective linear programming model is developed. Meanwhile, the AOC is calculated by considering the differences between the total and specific time period energy consumption ratios before and after the implementation of the DSM program. This study also develops an economic analysis method using Net Present Value and Pay Back Year models to assess the economic profitability of implementing a DSM program from a participant's point of view. The design and construction of a partial load leveling eutectic salt Cooling Energy Storage (CES) air conditioning system in a target office building in Kaohsiung, Taiwan, is discussed in order to simulate the cost benefit of the CES system from the perspective of the utility and from that of the participant. The results confirm the effectiveness of the developed models in simulating the economic benefits of implementing a DSM program from the perspectives of both the utility and the participant

  9. Accelerating residential PV expansion: demand analysis for competitive electricity markets

    International Nuclear Information System (INIS)

    Duke, Richard; Williams, Robert; Payne, Adam

    2005-01-01

    This article quantifies the potential market for grid-connected, residential photovoltaic (PV) electricity integrated into new homes built in the US. It complements an earlier supply-side analysis by the authors that demonstrates the potential to reduce PV module prices below $1.5/W p by scaling up existing thin-film technology in 100 MW p /yr manufacturing facilities. The present article demonstrates that, at that price, PV modules may be cost effective in 125,000 new home installations per year (0.5 GW p /yr). While this market is large enough to support multiple scaled up thin-film PV factories, inefficient energy pricing and demand-side market failures will inhibit prospective PV consumers without strong public policy support. Net metering rules, already implemented in many states to encourage PV market launch, represent a crude but reasonable surrogate for efficient electricity pricing mechanisms that may ultimately emerge to internalize the externality benefits of PV. These public benefits include reduced air pollution damages (estimated costs of damage to human health from fossil fuel power plants are presented in Appendix A), deferral of transmission and distribution capital expenditures, reduced exposure to fossil fuel price risks, and increased electricity system reliability for end users. Thus, net metering for PV ought to be implemented as broadly as possible and sustained until efficient pricing is in place. Complementary PV 'buydowns' (e.g., a renewable portfolio standard with a specific PV requirement) are needed to jumpstart regional PV markets

  10. Industrial electricity demand for Turkey: A structural time series analysis

    International Nuclear Information System (INIS)

    Dilaver, Zafer; Hunt, Lester C.

    2011-01-01

    This research investigates the relationship between Turkish industrial electricity consumption, industrial value added and electricity prices in order to forecast future Turkish industrial electricity demand. To achieve this, an industrial electricity demand function for Turkey is estimated by applying the structural time series technique to annual data over the period 1960 to 2008. In addition to identifying the size and significance of the price and industrial value added (output) elasticities, this technique also uncovers the electricity Underlying Energy Demand Trend (UEDT) for the Turkish industrial sector and is, as far as is known, the first attempt to do this. The results suggest that output and real electricity prices and a UEDT all have an important role to play in driving Turkish industrial electricity demand. Consequently, they should all be incorporated when modelling Turkish industrial electricity demand and the estimated UEDT should arguably be considered in future energy policy decisions concerning the Turkish electricity industry. The output and price elasticities are estimated to be 0.15 and - 0.16 respectively, with an increasing (but at a decreasing rate) UEDT and based on the estimated equation, and different forecast assumptions, it is predicted that Turkish industrial electricity demand will be somewhere between 97 and 148 TWh by 2020. -- Research Highlights: → Estimated output and price elasticities of 0.15 and -0.16 respectively. → Estimated upward sloping UEDT (i.e. energy using) but at a decreasing rate. → Predicted Turkish industrial electricity demand between 97 and 148 TWh in 2020.

  11. [MEG]PLS: A pipeline for MEG data analysis and partial least squares statistics.

    Science.gov (United States)

    Cheung, Michael J; Kovačević, Natasa; Fatima, Zainab; Mišić, Bratislav; McIntosh, Anthony R

    2016-01-01

    The emphasis of modern neurobiological theories has recently shifted from the independent function of brain areas to their interactions in the context of whole-brain networks. As a result, neuroimaging methods and analyses have also increasingly focused on network discovery. Magnetoencephalography (MEG) is a neuroimaging modality that captures neural activity with a high degree of temporal specificity, providing detailed, time varying maps of neural activity. Partial least squares (PLS) analysis is a multivariate framework that can be used to isolate distributed spatiotemporal patterns of neural activity that differentiate groups or cognitive tasks, to relate neural activity to behavior, and to capture large-scale network interactions. Here we introduce [MEG]PLS, a MATLAB-based platform that streamlines MEG data preprocessing, source reconstruction and PLS analysis in a single unified framework. [MEG]PLS facilitates MRI preprocessing, including segmentation and coregistration, MEG preprocessing, including filtering, epoching, and artifact correction, MEG sensor analysis, in both time and frequency domains, MEG source analysis, including multiple head models and beamforming algorithms, and combines these with a suite of PLS analyses. The pipeline is open-source and modular, utilizing functions from FieldTrip (Donders, NL), AFNI (NIMH, USA), SPM8 (UCL, UK) and PLScmd (Baycrest, CAN), which are extensively supported and continually developed by their respective communities. [MEG]PLS is flexible, providing both a graphical user interface and command-line options, depending on the needs of the user. A visualization suite allows multiple types of data and analyses to be displayed and includes 4-D montage functionality. [MEG]PLS is freely available under the GNU public license (http://meg-pls.weebly.com). Copyright © 2015 Elsevier Inc. All rights reserved.

  12. Electricity demand forecasting using regression, scenarios and pattern analysis

    CSIR Research Space (South Africa)

    Khuluse, S

    2009-02-01

    Full Text Available The objective of the study is to forecast national electricity demand patterns for a period of twenty years: total annual consumption and understanding seasonal effects. No constraint on the supply of electricity was assumed...

  13. Towards a Fuzzy Bayesian Network Based Approach for Safety Risk Analysis of Tunnel-Induced Pipeline Damage.

    Science.gov (United States)

    Zhang, Limao; Wu, Xianguo; Qin, Yawei; Skibniewski, Miroslaw J; Liu, Wenli

    2016-02-01

    Tunneling excavation is bound to produce significant disturbances to surrounding environments, and the tunnel-induced damage to adjacent underground buried pipelines is of considerable importance for geotechnical practice. A fuzzy Bayesian networks (FBNs) based approach for safety risk analysis is developed in this article with detailed step-by-step procedures, consisting of risk mechanism analysis, the FBN model establishment, fuzzification, FBN-based inference, defuzzification, and decision making. In accordance with the failure mechanism analysis, a tunnel-induced pipeline damage model is proposed to reveal the cause-effect relationships between the pipeline damage and its influential variables. In terms of the fuzzification process, an expert confidence indicator is proposed to reveal the reliability of the data when determining the fuzzy probability of occurrence of basic events, with both the judgment ability level and the subjectivity reliability level taken into account. By means of the fuzzy Bayesian inference, the approach proposed in this article is capable of calculating the probability distribution of potential safety risks and identifying the most likely potential causes of accidents under both prior knowledge and given evidence circumstances. A case concerning the safety analysis of underground buried pipelines adjacent to the construction of the Wuhan Yangtze River Tunnel is presented. The results demonstrate the feasibility of the proposed FBN approach and its application potential. The proposed approach can be used as a decision tool to provide support for safety assurance and management in tunnel construction, and thus increase the likelihood of a successful project in a complex project environment. © 2015 Society for Risk Analysis.

  14. Method for environmental risk analysis of marine terminals, process industry terminals, pipelines and shipping lanes

    Energy Technology Data Exchange (ETDEWEB)

    Nissen-Lie, Torild R.; Aspholm, Ole O. [DNV Energy, Oslo (Norway)

    2008-07-01

    The paper describes a quantitative method for analyzing the environmental risk of marine terminals, process industry terminals, pipelines and shipping lanes. The method has been used both in Norway and elsewhere in the world; calculating the risk for environmental resources as fish, seabirds and waterfowls, marine mammals, otters, sea turtles and salt marches and other shoreline/sub tidal habitats. The environmental risk is the product of the probability of acute releases and the environmental consequences. Consequences for vulnerable species and habitats are calculated based on oil drift modelling results and a consequence matrix consisting of 5-7 consequence parameter and five consequence levels of increasing seriousness. An average consequence level is calculated on basis of defined weighting factors to provide an overall consequence value for each spill scenario for each species/habitat. An environmental risk analysis highlights the hazards that have to be managed in order to run an environmentally sustainable operation and can also provide input to establish cost-effective oil spill response measures. (author)

  15. A Data Analysis Pipeline Accounting for Artifacts in Tox21 Quantitative High-Throughput Screening Assays.

    Science.gov (United States)

    Hsieh, Jui-Hua; Sedykh, Alexander; Huang, Ruili; Xia, Menghang; Tice, Raymond R

    2015-08-01

    A main goal of the U.S. Tox21 program is to profile a 10K-compound library for activity against a panel of stress-related and nuclear receptor signaling pathway assays using a quantitative high-throughput screening (qHTS) approach. However, assay artifacts, including nonreproducible signals and assay interference (e.g., autofluorescence), complicate compound activity interpretation. To address these issues, we have developed a data analysis pipeline that includes an updated signal noise-filtering/curation protocol and an assay interference flagging system. To better characterize various types of signals, we adopted a weighted version of the area under the curve (wAUC) to quantify the amount of activity across the tested concentration range in combination with the assay-dependent point-of-departure (POD) concentration. Based on the 32 Tox21 qHTS assays analyzed, we demonstrate that signal profiling using wAUC affords the best reproducibility (Pearson's r = 0.91) in comparison with the POD (0.82) only or the AC(50) (i.e., half-maximal activity concentration, 0.81). Among the activity artifacts characterized, cytotoxicity is the major confounding factor; on average, about 8% of Tox21 compounds are affected, whereas autofluorescence affects less than 0.5%. To facilitate data evaluation, we implemented two graphical user interface applications, allowing users to rapidly evaluate the in vitro activity of Tox21 compounds. © 2015 Society for Laboratory Automation and Screening.

  16. Cost benefit analysis of the demand side management programs

    International Nuclear Information System (INIS)

    Schechtman, R.; Baum, M.

    1989-01-01

    The several cost and benefit components of the demand side management programs for the society groups, including the concessionaire, consumers and society as a whole are studied. The rule evaluations of management programs by demand side, used by North American concessionaire are also discussed. Finally, the numerical examples, that consolidating the concepts and rules evaluation are presented. (C.G.C.). 5 refs, 1 fig, 3 tabs

  17. An analysis of short haul air passenger demand, volume 2

    Science.gov (United States)

    Blumer, T. P.; Swan, W. M.

    1978-01-01

    Several demand models for short haul air travel are proposed and calibrated on pooled data. The models are designed to predict demand and analyze some of the motivating phenomena behind demand generation. In particular, an attempt is made to include the effects of competing modes and of alternate destinations. The results support three conclusions: (1) the auto mode is the air mode's major competitor; (2) trip time is an overriding factor in intermodal competition, with air fare at its present level appearing unimportant to the typical short haul air traveler; and (3) distance appears to underly several demand generating phenomena, and therefore, must be considered very carefully to any intercity demand model. It may be the cause of the wide range of fare elasticities reported by researchers over the past 15 years. A behavioral demand model is proposed and calibrated. It combines the travel generating effects of income and population, the effects of modal split, the sensitivity of travel to price and time, and the effect of alternative destinations satisfying the trip purpose.

  18. Stress and thermal expansion numerical analysis of subsea buried pipelines; Analise numerica de tensoes e expansao termica de dutos submarinos enterrados

    Energy Technology Data Exchange (ETDEWEB)

    Souto, Marcio de S.; Vaz, Murilo A. [Universidade Federal, Rio de Janeiro, RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia; Solano, Rafael F. [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil)

    2005-07-01

    The design of Capixaba North Terminal pipelines (TNC) became very complex, once the pipelines are exposed to elevated temperature variations. As the pipelines are buried, the interaction with the seabed can become critical with the thermal expansion development, since an axial compressive force arise, reaching critical values and then leading the pipeline to the thermo mechanical instability phenomenon. To minimize these effects, the pipeline will cross the shore approach through a horizontal directional drilling, and expansion loops and intermediate tie-ins took place on his route in order to permit pipeline displacements, working thermally. The objective of this present work is to develop a numerical model, able to analyze the entire pipeline stress, strain and displacements, considering different kinds of soil along of his route. The influence of expansion loops is evaluated and a comparative analysis in order to discover the minimum curvature radius at the directional drilling region is carried out. This study defines a methodology based on the developed numerical model which will be extended to future applications in subsea buried pipeline design. (author)

  19. Energy cost reduction in oil pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Limeira, Fabio Machado; Correa, Joao Luiz Lavoura; Costa, Luciano Macedo Josino da; Silva, Jose Luiz da; Henriques, Fausto Metzger Pessanha [Petrobras Transporte S.A. (TRANSPETRO), Rio de Janeiro, RJ (Brazil)

    2012-07-01

    One of the key questions of modern society consists on the rational use of the planet's natural resources and energy. Due to the lack of energy, many companies are forced to reduce their workload, especially during peak hours, because residential demand reaches its top and there is not enough energy to fulfill the needs of all users, which affects major industries. Therefore, using energy more wisely has become a strategic issue for any company, due to the limited supply and also for the excessive cost it represents. With the objective of saving energy and reducing costs for oil pipelines, it has been identified that the increase in energy consumption is primordially related to pumping stations and also by the way many facilities are operated, that is, differently from what was originally designed. Realizing this opportunity, in order to optimize the process, this article intends to examine the possibility of gains evaluating alternatives regarding changes in the pump scheme configuration and non-use of pump stations at peak hours. Initially, an oil pipeline with potential to reduce energy costs was chosen being followed by a history analysis, in order to confirm if there was sufficient room to change the operation mode. After confirming the pipeline choice, the system is briefly described and the literature is reviewed, explaining how the energy cost is calculated and also the main characteristics of a pumping system in series and in parallel. In that sequence, technically feasible alternatives are studied in order to operate and also to negotiate the energy demand contract. Finally, costs are calculated to identify the most economical alternative, that is, for a scenario with no increase in the actual transported volume of the pipeline and for another scenario that considers an increase of about 20%. The conclusion of this study indicates that the chosen pipeline can achieve a reduction on energy costs of up to 25% without the need for investments in new

  20. New territory for NGL pipelines

    International Nuclear Information System (INIS)

    Turner, C.L.; Billings, F.E.

    1994-01-01

    Even though the NGL pipeline industry appears mature, new geographic territory exists for expansion of NGL pipelines. However, the most fertile territory that must be pursued is the collective opportunities to better link the existing NGL industry. Associations like the Gas Processors Association can not perform the role demanded by a need to share information between the links of the chain on a more real time basis. The Association can not substitute for picking up the phone or calling a meeting of industry participants to discuss proposed changes in policies and procedures. All stakeholders must participate in squeezing out the inefficiencies of the industry. Some expansion and extension of NGL pipelines will occur in the future without ownership participation or commitments from the supply and demand businesses. However, significant expansions linking new supply sources and demand markets will only be made as the supply and demand businesses share long-term strategies and help define the pipeline opportunity. The successful industries of the twenty-first century will not be dominated by a single profitable sector, but rather by those industries which foster cooperation as well as competition. A healthy NGL industry will be comprised of profitable supply businesses and profitable demand businesses, linked together by profitable pipeline businesses

  1. Crossing Active Faults on the Sakhalin II Onshore Pipeline Route: Analysis Methodology and Basic Design

    International Nuclear Information System (INIS)

    Vitali, Luigino; Mattiozzi, Pierpaolo

    2008-01-01

    Twin oil (20 and 24 inch) and gas (20 and 48 inch) pipeline systems stretching 800 km are being constructed to connect offshore hydrocarbon deposits from the Sakhalin II concession in the North to an LNG plant and oil export terminal in the South of Sakhalin island. The onshore pipeline route follows a regional fault zone and crosses individual active faults at 19 locations. Sakhalin Energy, Design and Construction companies took significant care to ensure the integrity of the pipelines, should large seismic induced ground movements occur during the Operational life of the facilities. Complex investigations including the identification of the active faults, their precise location, their particular displacement values and assessment of the fault kinematics were carried out to provide input data for unique design solutions. Lateral and reverse offset displacements of 5.5 and 4.5 m respectively were determined as the single-event values for the design level earthquake (DLE)--the 1000-year return period event. Within the constraints of a pipeline route largely fixed, the underground pipeline fault crossing design was developed to define the optimum routing which would minimize stresses and strain using linepipe materials which had been ordered prior to the completion of detailed design, and to specify requirements for pipe trenching shape, materials, drainage system, etc. This Paper describes the steps followed to formulate the concept of the special trenches and the analytical characteristics of the Model

  2. A Sensitivity Analysis of a Computer Model-Based Leak Detection System for Oil Pipelines

    Directory of Open Access Journals (Sweden)

    Zhe Lu

    2017-08-01

    Full Text Available Improving leak detection capability to eliminate undetected releases is an area of focus for the energy pipeline industry, and the pipeline companies are working to improve existing methods for monitoring their pipelines. Computer model-based leak detection methods that detect leaks by analyzing the pipeline hydraulic state have been widely employed in the industry, but their effectiveness in practical applications is often challenged by real-world uncertainties. This study quantitatively assessed the effects of uncertainties on leak detectability of a commonly used real-time transient model-based leak detection system. Uncertainties in fluid properties, field sensors, and the data acquisition system were evaluated. Errors were introduced into the input variables of the leak detection system individually and collectively, and the changes in leak detectability caused by the uncertainties were quantified using simulated leaks. This study provides valuable quantitative results contributing towards a better understanding of how real-world uncertainties affect leak detection. A general ranking of the importance of the uncertainty sources was obtained: from high to low it is time skew, bulk modulus error, viscosity error, and polling time. It was also shown that inertia-dominated pipeline systems were less sensitive to uncertainties compared to friction-dominated systems.

  3. A RECOGNITION OF HEALTH AND NUTRITION FACTORS IN FOOD DEMAND ANALYSIS

    OpenAIRE

    Capps, Oral, Jr.; Schmitz, John D.

    1991-01-01

    A theoretical framework in which to formally consider health and nutrition factors in demand analyses is developed. The framework is employed to empirically identify and assess the impacts of information pertaining to cholesterol on the demands for beef, pork, poultry, and fish. Issues in considering health and nutrition factors in food demand analysis are documented.

  4. Electricity supply and demand analysis in electric system of Uruguay 2000-2007 period

    International Nuclear Information System (INIS)

    2008-01-01

    This article is about the following topics: energy analysis, production and use, supply and demand, energy consumption evolution, energy sources, energy demand by economic sector between years 2000-2007, energy range, energy growing rate, demanding maximum power, growing maximum rate, exported and imported energy.

  5. Bayesian Analysis of Demand Elasticity in the Italian Electricity Market

    Directory of Open Access Journals (Sweden)

    Maria Chiara D'Errico

    2015-09-01

    Full Text Available The liberalization of the Italian electricity market is a decade old. Within these last ten years, the supply side has been extensively analyzed, but not the demand side. The aim of this paper is to provide a new method for estimation of the demand elasticity, based on Bayesian methods applied to the Italian electricity market. We used individual demand bids data in the day-ahead market in the Italian Power Exchange (IPEX, for 2011, in order to construct an aggregate demand function at the hourly level. We took into account the existence of both elastic and inelastic bidders on the demand side. The empirical results show that elasticity varies significantly during the day and across periods of the year. In addition, the elasticity hourly distribution is clearly skewed and more so in the daily hours. The Bayesian method is a useful tool for policy-making, insofar as the regulator can start with a priori historical information on market behavior and estimate actual market outcomes in response to new policy actions.

  6. Tissue-specific Proteogenomic Analysis of Plutella xylostella Larval Midgut Using a Multialgorithm Pipeline.

    Science.gov (United States)

    Zhu, Xun; Xie, Shangbo; Armengaud, Jean; Xie, Wen; Guo, Zhaojiang; Kang, Shi; Wu, Qingjun; Wang, Shaoli; Xia, Jixing; He, Rongjun; Zhang, Youjun

    2016-06-01

    The diamondback moth, Plutella xylostella (L.), is the major cosmopolitan pest of brassica and other cruciferous crops. Its larval midgut is a dynamic tissue that interfaces with a wide variety of toxicological and physiological processes. The draft sequence of the P. xylostella genome was recently released, but its annotation remains challenging because of the low sequence coverage of this branch of life and the poor description of exon/intron splicing rules for these insects. Peptide sequencing by computational assignment of tandem mass spectra to genome sequence information provides an experimental independent approach for confirming or refuting protein predictions, a concept that has been termed proteogenomics. In this study, we carried out an in-depth proteogenomic analysis to complement genome annotation of P. xylostella larval midgut based on shotgun HPLC-ESI-MS/MS data by means of a multialgorithm pipeline. A total of 876,341 tandem mass spectra were searched against the predicted P. xylostella protein sequences and a whole-genome six-frame translation database. Based on a data set comprising 2694 novel genome search specific peptides, we discovered 439 novel protein-coding genes and corrected 128 existing gene models. To get the most accurate data to seed further insect genome annotation, more than half of the novel protein-coding genes, i.e. 235 over 439, were further validated after RT-PCR amplification and sequencing of the corresponding transcripts. Furthermore, we validated 53 novel alternative splicings. Finally, a total of 6764 proteins were identified, resulting in one of the most comprehensive proteogenomic study of a nonmodel animal. As the first tissue-specific proteogenomics analysis of P. xylostella, this study provides the fundamental basis for high-throughput proteomics and functional genomics approaches aimed at deciphering the molecular mechanisms of resistance and controlling this pest. © 2016 by The American Society for Biochemistry and

  7. Tissue-specific Proteogenomic Analysis of Plutella xylostella Larval Midgut Using a Multialgorithm Pipeline*

    Science.gov (United States)

    Zhu, Xun; Xie, Shangbo; Armengaud, Jean; Xie, Wen; Guo, Zhaojiang; Kang, Shi; Wu, Qingjun; Wang, Shaoli; Xia, Jixing; He, Rongjun; Zhang, Youjun

    2016-01-01

    The diamondback moth, Plutella xylostella (L.), is the major cosmopolitan pest of brassica and other cruciferous crops. Its larval midgut is a dynamic tissue that interfaces with a wide variety of toxicological and physiological processes. The draft sequence of the P. xylostella genome was recently released, but its annotation remains challenging because of the low sequence coverage of this branch of life and the poor description of exon/intron splicing rules for these insects. Peptide sequencing by computational assignment of tandem mass spectra to genome sequence information provides an experimental independent approach for confirming or refuting protein predictions, a concept that has been termed proteogenomics. In this study, we carried out an in-depth proteogenomic analysis to complement genome annotation of P. xylostella larval midgut based on shotgun HPLC-ESI-MS/MS data by means of a multialgorithm pipeline. A total of 876,341 tandem mass spectra were searched against the predicted P. xylostella protein sequences and a whole-genome six-frame translation database. Based on a data set comprising 2694 novel genome search specific peptides, we discovered 439 novel protein-coding genes and corrected 128 existing gene models. To get the most accurate data to seed further insect genome annotation, more than half of the novel protein-coding genes, i.e. 235 over 439, were further validated after RT-PCR amplification and sequencing of the corresponding transcripts. Furthermore, we validated 53 novel alternative splicings. Finally, a total of 6764 proteins were identified, resulting in one of the most comprehensive proteogenomic study of a nonmodel animal. As the first tissue-specific proteogenomics analysis of P. xylostella, this study provides the fundamental basis for high-throughput proteomics and functional genomics approaches aimed at deciphering the molecular mechanisms of resistance and controlling this pest. PMID:26902207

  8. Operation and design of gas pipeline with cross geographical areas with big altitude changes: importance of the dynamic analysis; Diseno y operacion de gasoductos en zonas de elevadas diferencias altimetricas: importancia del analisis dinamico

    Energy Technology Data Exchange (ETDEWEB)

    Alvarez, Oscar [Transportadora de Gas del Norte S.A. (Argentina)

    2003-07-01

    The Natural Gas Demand has increased constantly in the last decades. It was mainly due to the discovery of enormous gas reserves, the opening of the energetic markets and its utilization as fuel for power generation The supply of new markets in Latin America has meant the development of several interconnection projects among countries. The development of projects crossing the Andes Mountains, with big altitude differences, impose new requirements for the design and pipeline operation The purpose of this paper is to continue the analysis of the gas pipeline modeling methods which cross geographical areas with big altitude changes, specifically under the dynamic point of view In these cases, the operating parameters are strongly linked to the analysis and comprehension of transient phenomenon and consequently an efficient line pack management. The demand suing is fundamental when systems crossing this kind of geographical areas are designed and operated The design should consider the response time, having capacity to support a demand variation. Finally the impact in the commercial operation of this phenomenon is analyzed, due to the possibility to detect idle capacity or optimize solutions, reducing investment and assurance an operation without risks. Thus in the design period , the capability of bringing a reliability service at a reduced cost is emphasized in benefit of the customers. (author)

  9. Focus on safety : a comparative analysis of pipeline safety performance 2000-2002

    International Nuclear Information System (INIS)

    2004-01-01

    Canada's National Energy Board (NEB) is responsible for the promotion of safety, environmental protection and economic efficiency in the Canadian public interest in regulating the design, construction, operation and abandonment of interprovincial and international pipelines within Canada. This second annual report provides a review of the safety performance of oil and gas pipeline companies that are regulated by the NEB. The data used to prepare this report originates from two sources: incident reports submitted under the Onshore Pipeline Regulations, 1999, and from information voluntarily provided by pipeline companies under the Safety Performance Indicators (SPI) initiative. Data comparisons with external reference organizations were included. Six key indicators have been identified to provide comprehensive measures of safety performance for pipeline companies: fatalities, ruptures, injury frequencies, liquid releases, gas releases, and unauthorized activities on the right of way. The safety performance of the federally regulated pipeline industry within Canada was satisfactory during this reporting period (2000-2002). The contractor injury frequency rates reported in 2002 were lower than those reported in 2001, and exhibited more consistency with the levels reported in 2000. The NEB is of the opinion that the elevated number of liquid hydrocarbon spills reported in 2000 were a result of elevated construction levels. No fatalities were reported. There was an increase to three from two in the number of ruptures, due in large part to metal loss (corrosion) and cracking, and external interference (third party damage). The number of spills increased to 76 in 2002 from 55 in 2001, which appears to be more in line with industry averages. The volume of hydrocarbon liquid released in 2002 represented one third the volume released in 2001. refs., 5 tabs., 14 figs

  10. Competition in the natural gas pipeline industry: An economic policy analysis

    International Nuclear Information System (INIS)

    Gallick, E.C.

    1993-01-01

    The Federal Energy Regulatory Commission (FERC) currently regulates the price at which natural gas can be sold by regulated interstate natural gas pipelines. Whether pipelines should be deregulated depends, to an important extent, on the competitive nature of the market. The key question is whether pipelines can successfully raise price (i.e., the transport fee) and reduce output if the market is deregulated. In most natural gas pipeline markets, there are a small number of current suppliers. Opponents of deregulation argue that the unrestrained market power of pipelines in many local markets will introduce inefficiencies in the sale of natural gas. Implicit in their arguments is a narrow view of competition: the number of current suppliers. The competitive effect of potential entry is largely ignored. These commentators would argue that without potential entry, it may be true that the net social cost of deregulation exceeds the costs of maintaining present regulation. A study was conducted to determine the extent to which potential entry might constrain the exercise of market power by natural gas pipelines if price and entry regulation is removed. Potential entrants are defined in the context of antitrust markets. That is, these markets are consistent with the Department of Justice (DOJ) Merger Guidelines. The study attempts to quantify the effects of potential entry on the market power of current suppliers. The selection of potential entrants therefore considers a number of factors (such as the size of the nearby supplier and the distance to the market) that are expected to affect the likelihood of collision in a deregulated market. The policy implications of the study are reviewed

  11. On the modelling and the analysis of two-phase flow instabilities in pipeline-riser systems; Modelisation et analyse des instabilites d'ecoulements diphasiques dans les conduites petrolieres du type pipeline-riser

    Energy Technology Data Exchange (ETDEWEB)

    Zakarian, E.

    2000-03-10

    Recent estimations predict that over half the remaining offshore oil and gas reserves are located in deep water and marginal fields. For such reserves, economic recovery methods are required. Then, multiphase flows are transported within pipelines and separated on treatment platforms built in shallow water or processed in onshore facilities. Unfortunately, hydrodynamic instabilities may occur whenever gas and liquid flow in a pipeline, generating serious operating problems. This dissertation presents a new way to model two-phase flows in pipelines such as pipeline-riser systems. Equations are algebraic and differential. Their smoothness depends on the closure laws of the problem such as slip or friction laws. Smooth forms of these closure laws are presented for the first time in this dissertation. Therefore, a mathematical analysis of our model fits into a classical frame: a linear analysis leads to an analytical expression of the boundary between stable and unstable flows. A nonlinear analysis provides for the first time, the bifurcation curves of gas-liquid flows in pipe-riser systems, locally round their stability boundary. (author)

  12. Empirical Analysis Of The Determinants Of Demand For Children In ...

    African Journals Online (AJOL)

    Using cross-section data on urban households from Jimma city, Southwestern Ethiopia, in this paper we apply the economic theory of consumer choice and examine some endogenous household characteristics that affect the demand for children among urban households in Ethiopia. Based on parameter estimates derived ...

  13. Alignment analysis of urban railways based on passenger travel demand

    DEFF Research Database (Denmark)

    Andersen, Jonas Lohmann Elkjær; Landex, Alex

    2010-01-01

    Planning of urban railways like Metro and especially Light Rail Transit often result in multiple alignment alternatives from where it can be difficult to select the best one. Travel demand is a good foundation for evaluating a railway alignment for its ability to attract passengers. Therefore...... and can be applied as decision support in different stages of the urban railway alignment planning....

  14. Forecasting Tourist Arrivals and Supply and Demand Gap Analysis ...

    African Journals Online (AJOL)

    This paper aims to forecast the long term behavior of tourist arrivals and analyze the gap between supply and demand for the hotel/accommodation sector of the city of Addis Ababa. It also intends to provide vital information in regards to the sparse knowledge in the subject of forecasting tourist arrivals in Ethiopia.

  15. State Aid and Student Performance: A Supply-Demand Analysis

    Science.gov (United States)

    Kinnucan, Henry W.; Zheng, Yuqing; Brehmer, Gerald

    2006-01-01

    Using a supply-demand framework, a six-equation model is specified to generate hypotheses about the relationship between state aid and student performance. Theory predicts that an increase in state or federal aid provides an incentive to decrease local funding, but that the disincentive associated with increased state aid is moderated when federal…

  16. An Analysis Of Travel Demand Determinants In A Developing City ...

    African Journals Online (AJOL)

    In analyzing travel demand determinants in Ijebu-Ode Township, data collected for the study were analyzed by using multiple linear regressions. The study found out that school, work (formal and informed) and shopping trips accounted for about 77% of the total volume of trips generated in the study area. Likewise ...

  17. Demand Analysis of Selected Fruits and Vegetables in Oman

    Directory of Open Access Journals (Sweden)

    A. Omezzine

    1998-01-01

    Full Text Available Consumer behavior and prospective changes in demand of food product have a significant impact on production and distribution decisions. Consumer responsiveness to changes in prices, income and other demand determinants is very important to production and market decision-makers. The present study estimates demand responses for selected fruits and vegetables in Oman using consumer aggregated national data. The main objective is to generate information needed for making public as well as private decisions. Results indicate that most fruit and vegetable consumers respond to price, and income changes in the expected manner. Responses are different from one commodity to another depending on its nature and importance in the consumer's diet habits. In a few cases income is not a significant determinant of the demand. Moreover, many fruits and vegetables have shown a relationship of substitution and complementary consistent with Omani diet. These results are useful in farmers and distributers to allow them to adjust their production and marketing services according to the consumer’s response.

  18. Gasoline taxes or efficiency standards? A heterogeneous household demand analysis

    International Nuclear Information System (INIS)

    Liu, Weiwei

    2015-01-01

    Using detailed consumer expenditure survey data and a flexible semiparametric dynamic demand model, this paper estimates the price elasticity and fuel efficiency elasticity of gasoline demand at the household level. The goal is to assess the effectiveness of gasoline taxes and vehicle fuel efficiency standards on fuel consumption. The results reveal substantial interaction between vehicle fuel efficiency and the price elasticity of gasoline demand: the improvement of vehicle fuel efficiency leads to lower price elasticity and weakens consumers’ sensitivity to gasoline price changes. The offsetting effect also differs across households due to demographic heterogeneity. These findings imply that when gasoline taxes are in place, tightening efficiency standards will partially offset the strength of taxes on reducing fuel consumption. - Highlights: • Model household gasoline demand using a semiparametric approach. • Estimate heterogeneous price elasticity and fuel efficiency elasticity. • Assess the effectiveness of gasoline taxes and efficiency standards. • Efficiency standards offset the impact of gasoline taxes on fuel consumption. • The offsetting effect differs by household demographics

  19. Analysis of hydrodynamic regimes of operation of a gas pipeline from the Samotlor field to the Nizhnevartovsk gas refinery

    Energy Technology Data Exchange (ETDEWEB)

    Al' tshular, S A; Bragunov, N I; Ivanov, V N; Izmaylov, I Ye; Koroleva, L N

    1979-01-01

    Results are presented from studying the hydraulic losses of a gas-transport system. Oil gas in the first stage of separation of the Samotlor field according to the plan is transported on two gas pipelines to the Nizhnevartovsk and Belozersk gas refinery. On the route of the first gas pipeline in order to remove the released condensate, 12 gas-separator and condensate-settling tanks are installed. The second gas pipeline in the beginning, middle and end has asemblies for additional separation (separation (separator, drop-separator, condensate-collector). The studied material is presented in the form of the dependence of actual calculatedcoefficients of hydraulic resistance on the rate of gas supply in the range 80,000-230,000 m/sup 3//h (Re-(0.82.0) X 10/sup -6/. It has been established that with Re=1.6 X 10/sup -6/ the calculated and actual coeffic-ients of resistance become the same, while with smaller values of Re, the actual values exceed the calculated by 20-40%. In the opinion of the authors this difference is due to the effect of the liquid phase with low velocities of gas and the formation of stable foam. As a result of transillumination it was also established that the regime of flow on the ascending part is dispersion-ring and dispersion-semiring, and on the descending part stratified. Analysis of the transport of the gas-condensate stream with ring regime of flow permitted the authors to hypothesize transporting of gas without removal of the condensate. A certain increase in the coefficients of resistance for the case where the condensate is not removed from the gas pipeline is noted with experimental realization of the proposed variant. It is explained by the low velocities of gas in the beginning of the gas pipeline. It is stressed that the actual and calculated pressure differentials are distinguished less than the calculated and actual coefficients of resistance and that this indicates the practical preservation of the throughput of the gas pipeline.

  20. Fluid Induced Vibration Analysis of a Cooling Water Pipeline for the HANARO CNS

    International Nuclear Information System (INIS)

    Kim, Bong Soo; Lee, Young Sub; Kim, Ik Soo; Kim, Young Ki

    2007-01-01

    CNS is the initial of Cold Neutron Source and the CNS facility system consists of hydrogen, a vacuum, a gas blanketing, a helium refrigeration and a cooling water supply system. Out of these subsystems, the helium refrigeration system has the function of removal of heat from a thermal neutron under reactor operation. Therefore, HRS (helium refrigeration system) must be under normal operation for the production of cold neutron. HRS is mainly made up of a helium compressor and a coldbox. This equipment is in need of cooling water to get rid of heat generation under stable operation and a cooling water system is essential to maintain the normal operation of a helium compressor and a coldbox. The main problem for the cooling water system is the vibration issue in the middle of operation due to a water flow in a pipeline. In order to suppress the vibration problem for a pipeline, the characteristics of a pipeline and fluid flow must be analyzed in detail. In this paper, fluid induced vibration of a cooling water pipe is analyzed numerically and the stability of the cooling water pipeline is investigated by using pipe dynamic theory

  1. Pressurizing the STEM Pipeline: An Expectancy-Value Theory Analysis of Youths' STEM Attitudes

    Science.gov (United States)

    Ball, Christopher; Huang, Kuo-Ting; Cotten, Shelia R.; Rikard, R. V.

    2017-01-01

    Over the past decade, there has been a strong national push to increase minority students' positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through…

  2. Experimental and numerical analysis of water hammer in a large-scale PVC pipeline apparatus

    NARCIS (Netherlands)

    Bergant, A.; Hou, Q.; Keramat, A.; Tijsseling, A.S.; Gajic, A.; Benisek, M.; Nedeljkovic, M.

    2011-01-01

    This paper investigates the effects of the pipe-wall viscoelasticity on water-hammer pressures. A large-scale pipeline apparatus made of polyvinyl chloride (PVC) at Deltares, Delft, The Netherlands, has been used to carry out waterhammer experiments. Tests have been conducted in a

  3. A direct method of natural frequency analysis on pipeline conveying fluid with both ends supported

    International Nuclear Information System (INIS)

    Huang Yimin; Ge Seng; Wu Wei; Jie He

    2012-01-01

    Highlights: ► A direct method which derived from Ferrari's method was used to solve quartic equations. ► Frequency equations of pipeline conveying fluid with both ends supported was studied. ► Each order natural frequencies can be obtained by using the direct method. ► The first five critical flow velocities were obtained by using numerical method. - Abstract: The natural frequency equations of fluid–structure interaction in pipeline conveying fluid with both ends supported is investigated by a direct method, and the direct method is derived from Ferrari's method which is used to solve quartic equations. The dynamic equation of pipeline conveying fluid with two variables is obtained by Hamilton's variation principle based on Euler–Bernoulli Beam theory. By using the separation of variables method and the derived method from Ferrari's method, the natural frequency equations and the critical flow velocity equations of pipeline conveying fluid with both ends supported are obtained in mathematical decoupling. Each order natural frequencies and critical flow velocities can be obtained by using numerical method. The first five order dimensionless critical flow velocities are obtained, and the results indicate that clamped–simply supported is less stable than clamped–clamped supported and more stable than simply–simply supported. All the conclusions can be applied to nuclear installations and other engineering fields of improving the vibration.

  4. Unified dataflow model for the analysis of data and pipeline parallelism, and buffer sizing

    NARCIS (Netherlands)

    Hausmans, J.P.H.M.; Geuns, S.J.; Wiggers, M.H.; Bekooij, Marco Jan Gerrit

    2014-01-01

    Real-time stream processing applications such as software defined radios are usually executed concurrently on multiprocessor systems. Exploiting coarse-grained data parallelism by duplicating tasks is often required, besides pipeline parallelism, to meet the temporal constraints of the applications.

  5. Motor fuel demand analysis - applied modelling in the European union

    International Nuclear Information System (INIS)

    Chorazewiez, S.

    1998-01-01

    Motor fuel demand in Europe amounts to almost half of petroleum products consumption and to thirty percent of total final energy consumption. This study considers, Firstly, the energy policies of different European countries and the ways in which the consumption of motor gasoline and automotive gas oil has developed. Secondly it provides an abstract of demand models in the energy sector, illustrating their specific characteristics. Then it proposes an economic model of automotive fuel consumption, showing motor gasoline and automotive gas oil separately over a period of thirty years (1960-1993) for five main countries in the European Union. Finally, forecasts of consumption of gasoline and diesel up to the year 2020 are given for different scenarios. (author)

  6. Analysis of a Residential Building Energy Consumption Demand Model

    Directory of Open Access Journals (Sweden)

    Meng Liu

    2011-03-01

    Full Text Available In order to estimate the energy consumption demand of residential buildings, this paper first discusses the status and shortcomings of current domestic energy consumption models. Then it proposes and develops a residential building energy consumption demand model based on a back propagation (BP neural network model. After that, taking residential buildings in Chongqing (P.R. China as an example, 16 energy consumption indicators are introduced as characteristics of the residential buildings in Chongqing. The index system of the BP neutral network prediction model is established and the multi-factorial BP neural network prediction model of Chongqing residential building energy consumption is developed using the Cshap language, based on the SQL server 2005 platform. The results obtained by applying the model in Chongqing are in good agreement with actual ones. In addition, the model provides corresponding approximate data by taking into account the potential energy structure adjustments and relevant energy policy regulations.

  7. Leadership Pipeline

    DEFF Research Database (Denmark)

    Elmholdt, Claus Westergård

    2013-01-01

    I artiklen undersøges det empiriske grundlag for Leader- ship Pipeline. Først beskrives Leadership Pipeline modellen om le- delsesbaner og skilleveje i opadgående transitioner mellem orga- nisatoriske ledelsesniveauer (Freedman, 1998; Charan, Drotter and Noel, 2001). Dernæst sættes fokus på det...... forholdet mellem kontinuitet- og diskontinuitet i ledel- seskompetencer på tværs af organisatoriske niveauer præsenteres og diskuteres. Afslutningsvis diskuteres begrænsningerne i en kompetencebaseret tilgang til Leadership Pipeline, og det foreslås, at succesfuld ledelse i ligeså høj grad afhænger af...

  8. Maintenance Production Demand and Capacity Analysis of Third Maintenance Battalion

    Science.gov (United States)

    2017-12-01

    Delivery T/E Table of Equipment TFSMS Total Force Structure Management System TFSP Total Force Structure Process TM Technical Manual T/O Table of...exercises each year, both on Okinawa and throughout the Pacific theater. When equipment requires maintenance beyond the organizational -level...demand was analyzed based on customer cycle time (i.e., time that equipment was in Third Maintenance Battalion custody), maintenance cycle time during

  9. Empirical Analysis of Renewable Energy Demand in Ghana with Autometrics

    OpenAIRE

    Ishmael Ackah; Mcomari Asomani

    2015-01-01

    Increased investment in renewable energy has been identified as a potential solution to the intermittent power supply in Ghana. Recently, a Renewable Energy Act has been passed which has a target of 10% of renewable energy component in Ghana’s energy mix by 2020. Whilst effort is been made to enhance supply through feed in tariffs, education and tax reduction on renewable energy related equipment, there is the need to understand the drivers of renewable energy demand. Due to dearth of studie...

  10. Energy Demand Forecasting: Combining Cointegration Analysis and Artificial Intelligence Algorithm

    OpenAIRE

    Huang, Junbing; Tang, Yuee; Chen, Shuxing

    2018-01-01

    Energy is vital for the sustainable development of China. Accurate forecasts of annual energy demand are essential to schedule energy supply and provide valuable suggestions for developing related industries. In the existing literature on energy use prediction, the artificial intelligence-based (AI-based) model has received considerable attention. However, few econometric and statistical evidences exist that can prove the reliability of the current AI-based model, an area that still needs to ...

  11. Burden of disease calculation, cost of illness analysis and demand ...

    African Journals Online (AJOL)

    The paper introduces the demand for death for Activities of Daily Living (ADL) measured disability as being pioneered by Igberaese and co-workers, as a way of eliminating the BoD and CoI once and for all. It makes DALY only equal to YLL, as YLD approaches zero. DALY will simply be the number of years of life lost due to ...

  12. pipelines cathodic protection design methodologies for impressed

    African Journals Online (AJOL)

    HOD

    oil and gas pipelines corrosion in the United State of. American alone ... or preventing external corrosion of pipeline steels and other metallic .... 2.1 Materials and Impressed Current Design. Carbon steel ..... Research Analysis, Vol. 2, pp 2277 ...

  13. Bank Credit and Aggregate Import Demand in Nigeria: A Cointegration Analysis

    Directory of Open Access Journals (Sweden)

    Philip Chimobi Omoke

    2012-06-01

    Full Text Available This study reformulated the aggregate import demand for Nigeria by including a financial variable (bank credit into the traditional import demand function for the period 1970-2009. The Johansen Multivariate cointegration analysis was used to estimate the function. The result obtained from the study shows no evidence of the existence of cointegrating relations between bank credit and import demand. This shows that bank credit is found to be insufficient as a policy instrument for long term import demand in Nigeria. Thus, the financial variable should not be included in modelling the aggregate import demand for Nigeria.

  14. Pipeline dreams face up to reality

    International Nuclear Information System (INIS)

    Ryan, Orla

    1999-01-01

    This article gives details of two gas pipelines which are expected to be built in Turkey to meet the estimated demand for gas. The Bluestream joint ENI/Gasprom project pipeline will convey Russian gas across the Black Sea to Turkey, and the PSG joint Bechtel/General Electric venture will bring gas from Turkmenistan to Turkey across the Caspian Sea. Construction of the pipelines and financing aspects are discussed. (uk)

  15. Chile's pipelines - who's out in the cold?

    International Nuclear Information System (INIS)

    Bellhouse, G.

    1998-01-01

    There is a battle on in Northern Chile to supply the region with gas and electricity. Two pipelines and a transmission line are being built, but there is insufficient demand to merit the construction of all of these projects. It is widely believed that the first pipeline to be finished will be the overall winner, but the situation is not that simple. A more sensible conclusion could be the merger of the two pipeline projects, rationalising supply of gas to the region. (Author)

  16. DEVELOPMENT OF MILK CONSUMPTION AND MARKETING ANALYSIS OF ITS DEMAND

    Directory of Open Access Journals (Sweden)

    Marta Habánová

    2012-12-01

    Full Text Available The strategy of most households is to eliminate the negative effects of economic changes related mainly to the economic crisis by mobilizing available resources and reducing costs, but which cloud lead to a decrease in food consumption and changes in consumption patterns. Pensions and prices are factors that shape the demand for food and other estates. Both of these factors guarantee the economic viability of nutrition. Paper analyzes the development of the of milk consumption and level of its substitution by milk products. There was quantified the elasticity of demand and  estimated own price elasticity and income elasticity. For the past 17 years, consumption of milk, except cheese, cottage cheese, sour milk products and butter, decreased. Expressed by linear regression model in recent years (since 1995 in Slovakia occurred overall reduction in the consumption of milk and dairy products by an average of 0.988 kg per capita per year. This development was mainly conditioned by the annual descent of demand for milk, as its consumption with little variation in average decreased annually by up to 1.88 kg per capita. This development is largely due to the increase of milk prices and especially the increasing supply of a wide range of quality and flavored sour milk and cheese products. Acidified milk product consumption in recent observed years increased and is expressed by the average growth factor of 0.6748 kg per capita per year. Prognosis with a five percent risk of error of estimate could increase their consumption up to 13.936 kg per capita in 2014. Consumption of cheese and curd should the increase the current trend by an average of 0.0476 kg per person and would be able to achieve the level of consumption of 11.03 kg per capita in 2014.doi:10.5219/236

  17. Regulatory assessment with regulatory flexibility analysis : draft regulatory evaluation - Notice of Proposed Rulemaking -- Pipeline Safety : safety standards for increasing the maximum allowable operating pressure for natural gas transmission pipelines.

    Science.gov (United States)

    2008-02-01

    The Pipeline and Hazardous Materials Safety Administration (PHMSA) is proposing changes to the Federal pipeline safety regulations in 49 CFR Part 192, which cover the transportation of natural gas by pipeline. Specifically, PHMSA proposes allowing na...

  18. Effects of Pre-Strains on Failure Assessment Analysis to API 5L X65 Pipeline

    International Nuclear Information System (INIS)

    Baek, Jong Hyun; Kim, Young Pyo; Kim, Woo Sik; Seok, Chang Sung

    2009-01-01

    This paper prescribed the structural integrity of the API 5 L X6 5 pipeline subjected to tensile pre-strain. The effects of pre-strain on the mechanical properties of API 5 L X6 5 pipe were substantially investigated through a variety of the experimental procedures. Axial tensile pre-strain of 1.5, 5 and 10% was applied to plate-type tensile specimens cut from the pipe body prior to mechanical testing. Tensile test revealed that yield strength and tensile strength were increased with increasing tensile pre-strain. The increasing rate of the yield strength owing to the pre-strain is greater than that of the tensile strength. However, the pre-strain up to 5% had a little effect on the decreasing of the fracture toughness. The structural integrity of the API 5 L X6 5 pipeline subjected to large plastic deformation was evaluated through the fitness-for service code.

  19. An Algorithm of Auto-Update Threshold for Singularity Analysis of Pipeline Pressure

    Directory of Open Access Journals (Sweden)

    Jinhai Liu

    2013-01-01

    Full Text Available A precise auto-update threshold algorithm (AUTA which imitates the short-term memory of human brain is proposed to search singularities in pipeline pressure signal. According to the characteristics of the pressure signal, the pressure can be divided into two states known as nonsteady state and steady state. The AUTA can distinguish these two states and then choose corresponding method to calculate the dynamic thresholds of pressure variation in real time. Then, the parameters of AUTA are analyzed to determine their values or ranges. Finally, in the simulations to the actual pressure signal from oil pipelines, we verified the effectiveness of AUTA in estimating the dynamic threshold value of pressure.

  20. Static equilibrium analysis for pipeline protection design in Iran LNG port

    Energy Technology Data Exchange (ETDEWEB)

    Abdollahi, A.S.; Vakili, R. [Iran Univ. of Science and Technology, Tehran, (Iran, Islamic Republic of); Alielahi, H. [Islamic Azad Univ., Zanjan (Iran, Islamic Republic of)

    2010-07-01

    This paper discussed the protection design for an intake seawater pipeline that will be built for a liquefied natural gas (LNG) project. The limit equilibrium approach was used to estimate the geometry of the protection layer with respect to the holding capacity of the drag anchors in cohesionless soil, incorporating a more realistic 3-dimensional failure pattern in the soil as well as the force acting on the back of the fluke. The study addressed all technical and executive points related to the pipeline construction, including anchor type, ship load, geotechnical properties of the protected zone and the underlying seabed, and the procedure to calculate the geometry of the protection layer. The protection layer must account for the complexity of interactions among anchor, anchor chain, sea bed, and rock armour. This analytical method provided logical results more quickly and at a lower cost than model testing. 14 refs., 3 tabs., 9 figs.

  1. Research on Fairing design and CFD Analysis of Submarine Pipeline Inspection ARV

    Directory of Open Access Journals (Sweden)

    Jin Xiaojian

    2017-01-01

    Full Text Available Along with the fast development of the ocean exploitation, the cost-effective requirement of autonomous & remotely operated vehicle (ARV, which can perform more complicated missions such as the oil exploitation and the inspection of the submarine pipeline is more urgent. The submarine pipeline inspection ARV can help us better understand, protect and efficiently utilize them for human welfare. Fairing design of a new detection ARV are introduced in this paper. In order to select an appropriate thruster that will achieve the required speed of the ARV, the ANSYS-CFX tools are used to predicted the drag force. The CFD results reveal the distribution of velocity and pressure values of the ARV. In order to verify the CFD modeling process, a towed body was developed and analyzed, compared against the corresponding physical test data.

  2. Global offshore pipeline markets

    International Nuclear Information System (INIS)

    Knight, R.; Parsons, B.

    2001-01-01

    In this article, two experts forecast a recovery in the offshore pipeline market followed by accelerating growth. A number of clearly definable macro trends are affecting the world offshore oil and gas industry and will be of considerable significance to the offshore pipelines industry. The authors' view is of markets that show every chance of enjoying long-term growth prospects driven by the fundamentals of a continuing increase in demand for offshore oil and gas. The offshore industry however has a highly cyclical nature, due to the impact of variations in oil and gas prices and the differing state of maturity of individual regions. Therefore those companies that are able to offer the widest range of pipe types and diameters and methods of installation across the greatest range of geographic markets are likely to prosper most. Thus, this continues to be a market best suited to those able to operate on a global scale and make a corporate commitment measured in decades

  3. Residual strength evaluation of corroded pipelines with long defects based upon limit load analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chiodo, Mario S.G.; Ruggieri, Claudio [Universidade de Sao Paulo (USP), SP (Brazil). Dept. de Arquitetura Naval e Engenharia Oceanica

    2009-07-01

    Accurate evaluation of the residual strength for corroded pipes remains essential in fitness for service analyses, including repair decisions and life-extension programs, of onshore and offshore oil and gas transportation. As the pipeline infrastructure ages, material loss due to corrosion represents one of the main degradation factors of steel pipes which leads to strength reduction and potential catastrophic failures. Current high resolution methods can precisely measure the geometry of corrosion defects. Despite the improvement of those techniques, they are insufficient to ensure high levels of reliability in the burst pressure assessment because the recognized semi-empirical nature of conventional procedures. This work studies the applicability of a stress based criterion based upon plastic instability to predict the burst pressure of pipelines with axial corrosion defects. Verification studies based on experimental burst tests of large diameter pipes made of API X65 and X100 steels with different defect length showed the effectiveness of the proposed criterion based on {sigma}{sup ref} ={eta}{sigma}{sub u} in failure predictions, even though the {eta} factor exhibits a potential strong dependence of the defect geometry and material properties. In general, the results presented here provide an effective support to the ability of the proposed stress based criterion in the integrity assessment of corroded pipelines. (author)

  4. Pressurizing the STEM Pipeline: an Expectancy-Value Theory Analysis of Youths' STEM Attitudes

    Science.gov (United States)

    Ball, Christopher; Huang, Kuo-Ting; Cotten, Shelia R.; Rikard, R. V.

    2017-08-01

    Over the past decade, there has been a strong national push to increase minority students' positive attitudes towards STEM-related careers. However, despite this focus, minority students have remained underrepresented in these fields. Some researchers have directed their attention towards improving the STEM pipeline which carries students through our educational system and into STEM careers. Previous research has shown that expectancy-value theory (EVT) is useful for examining the short-term as well as long-term academic motivations and intentions of elementary age minority students. These findings provide insights into ways we may be able to potentially "patch" particular STEM pipeline leaks. In the current study, we advance this research by using EVT as a framework to examine the STEM attitudes of young students directly. We hypothesize that students' academic-related expectancies for success and subjective task values will be associated with an increase in STEM attitudes. Data for this study was gathered over the course of a large-scale computing intervention which sought to increase students' STEM interest. This computing intervention took place in an urban elementary school district located within the southeastern USA. Results from this study indicate that both intrinsic values and utility values predict students' STEM attitudes but they influence attitudes related to the various dimensions of STEM differently. These findings demonstrate that EVT provides a useful framework, which can be integrated into future computing interventions, to help encourage positive STEM attitudes in young children, thus increasing the internal pressure (or flow) within the STEM pipeline.

  5. Natural frequency analysis of fluid conveying pipeline with different boundary conditions

    International Nuclear Information System (INIS)

    Huang Yimin; Liu Yongshou; Li Baohui; Li Yanjiang; Yue Zhufeng

    2010-01-01

    In this study, the natural frequency of fluid-structure interaction in pipeline conveying fluid is investigated by eliminated element-Galerkin method, and the natural frequency equations with different boundary conditions are obtained. Furthermore, the expressions of first natural frequency are simplified in the case of different boundary conditions. Taking into account the Coriolis force, as an example, the natural frequency of a straight pipe simply supported at both ends is studied. In a given boundary condition, the four components (mass, stiffness, length and flow velocity) which relate to the natural frequency of pipeline conveying fluid are studied in detail and the results indicate that the effect of Coriolis force on natural frequency is inappreciable. Then the relationship between natural frequency of the pipeline conveying fluid and that of Euler beam is analyzed. Finally, a dimensionless flow velocity and limit values are presented, and they can be used to estimate the effect of the flow velocity on natural frequency. All the conclusions are well suited to nuclear plant and other industry fields.

  6. An empirical analysis of energy demand in Namibia

    International Nuclear Information System (INIS)

    De Vita, G.; Hunt, L.C.

    2006-01-01

    Using a unique database of end-user local energy data and the recently developed Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration, we estimate the long-run elasticities of the Namibian energy demand function at both aggregated level and by type of energy (electricity, petrol and diesel) for the period 1980-2002. Our main results show that energy consumption responds positively to changes in GDP and negatively to changes in energy price and air temperature. The differences in price elasticities across fuels uncovered by this study have significant implications for energy taxation by Namibian policy makers. We do not find any significant cross-price elasticities between different fuel types. (author)

  7. ASSESSMENT OF DIVERSITY OF POLISH VOIVODSHIPS BY LEVEL OF GAS PIPELINE INFRASTRUCTURE DEVELOPMENT USING MULTIDIMENSIONAL COMPARATIVE ANALYSIS

    Directory of Open Access Journals (Sweden)

    Marek URBANIK

    2016-06-01

    Full Text Available In the paper differentiation of gas pipeline infrastructure development in the Polish voivodships was presented. To illustrate this diversity the method of cluster analysis is used, obtained on the basis of statistical data collected by the Central Statistical Office (CSO. In order to conduct a preliminary review procedure for classification of individual provinces in relation to the assessment of the development of gas pipeline infrastructure linear classification was used, involved determining synthetic measure, which is the average of the variable components, through which voivodships were ordered. In order to estimate the distance between the clusters the variance analysis was used with the implementation of the Ward method. The analysis was performed on the basis of the following indicators: average increase in length of the gas network (an average for the total voivodoship 164.2 km, growth of the gas network in comparison to the first year of observation (123%, number of gas connections per 1 km of gas pipe (18.87 no∙km-1, the length of the network per unit area (5.37 m∙ha-1, intensity of network loading (84.15 m3∙d-1∙km-1, inhabitants having access to the gas system in % of total population (51.33%. In the analysis five clusters were grouped. Critical value was determined and segregation of individual clusters was made, taking into account the dominant parameters.

  8. Analysis of Final Energy Demand by Sector in Malaysia using MAED Model

    International Nuclear Information System (INIS)

    Kumar, M.; Muhammed Zulfakar Mohd Zolkaffly; Alawiah Musa

    2011-01-01

    Energy supply security is important in ensuring a long term supply to fulfill the growing energy demand. This paper presents the use of IAEA energy planning tool, Model for Analysis of Energy Demand (MAED) to analyze, simulate and compare final energy demand by five different sectors in Malaysia under some assumptions, bounds and restrictions and the outcome can be used for planning of energy supply in future. (author)

  9. Methodology of demand forecast by market analysis of electric power and load curves

    International Nuclear Information System (INIS)

    Barreiro, C.J.; Atmann, J.L.

    1989-01-01

    A methodology for demand forecast of consumer classes and their aggregation is presented. An analysis of the actual attended market can be done by appropriate measures and load curves studies. The suppositions for the future market behaviour by consumer classes (industrial, residential, commercial, others) are shown, and the actions for optimise this market are foreseen, obtained by load curves modulations. The process of future demand determination is obtained by the appropriate aggregation of this segmented demands. (C.G.C.)

  10. Monitoring of deposits in pipelines using pressure pulse technology

    Energy Technology Data Exchange (ETDEWEB)

    Gudmundsson, Jon S.; Celius, Harald K.

    2005-07-01

    The basis of pressure pulse technology is presented in terms of the water hammer equation, the pipeline pressure drop equation and the equation for speed of sound in multiphase mixtures. The technology can be used for a range of applications, from on-line monitoring of flowing conditions to on-demand measurements and analysis to locate and quantify deposits in wells and pipelines. While pressure pulse measurements are low-cost and easy to implement, the commercial use of pressure pulse technology has resulted from extensive field experience and substantial in-house software development. Simulation tools were used to illustrate the effect of a 2 mm thick deposit, 500 m long and located 375 m from a quick-acting valve. The simulation conditions used are typical for multiphase gas-oil flow along a horizontal 2 km long pipeline from wellhead to manifold. (Author)

  11. Regulatory assessment with regulatory flexibility analysis and paperwork reduction act analysis : draft regulatory evaluation : Notice of Proposed Rulemaking -- Pipeline Safety : Polyamide-11 (PA-11) plastic pipe design pressures

    Science.gov (United States)

    2007-06-01

    The Pipeline and Hazardous Materials Safety Administration (PHMSA) is proposing changes to the Federal pipeline safety regulations in 49 CFR Part 192, which cover the transportation of natural gas by pipeline. Specifically, PHMSA is proposing to chan...

  12. An Airline-Based Multilevel Analysis of Airfare Elasticity for Passenger Demand

    Science.gov (United States)

    Castelli, Lorenzo; Ukovich, Walter; Pesenti, Raffaele

    2003-01-01

    Price elasticity of passenger demand for a specific airline is estimated. The main drivers affecting passenger demand for air transportation are identified. First, an Ordinary Least Squares regression analysis is performed. Then, a multilevel analysis-based methodology to investigate the pattern of variation of price elasticity of demand among the various routes of the airline under study is proposed. The experienced daily passenger demands on each fare-class are grouped for each considered route. 9 routes were studied for the months of February and May in years from 1999 to 2002, and two fare-classes were defined (business and economy). The analysis has revealed that the airfare elasticity of passenger demand significantly varies among the different routes of the airline.

  13. Water Demand Analysis for Tree Crops in Spanish Mediterranean Farms

    Directory of Open Access Journals (Sweden)

    Maria Angeles Fernández-Zamudio

    2006-01-01

    Full Text Available Olive, vine and almond in rainfed farming systems are the most traditional crops in the large inland extensions of the Spanish Mediterranean. Their economic contributions enable farming activities to be maintained meaning that the villages remain inhabited. In the rainfed-farms in the Mediterranean regions it is possible to find only a certain proportion of the farms with some type of irrigation system. Given the water scarcity, the aim of this work is to determine the impact that an irrigationwater pricing policy would have on these regions, as outlined in the European Water Framework Directive. After analysing the direct effect water price would have on the net margin in these crops, demand functions have been obtained, applying the Multiattribute Utility Theory. The calculations, with reference to a farm that is representative of these regions, have been applied to two model scenarios, each with a different level of mechanization. Results show the impact on economic, social and environmental aspects of the pricing policy under the current water allotment. The work is completed by analysing the different contexts of irrigation-water availability on the farm. The study leads to the conclusion that increasing mechanization may be the most straightforward strategy to ensure the survival of these farms in the short to medium term if the current trend of increasing irrigation-water prices is consolidated.

  14. Economic Analysis of Urban Fuelwood Demand - The case of Harare in Zimbabwe

    NARCIS (Netherlands)

    Chambwera, M.

    2004-01-01

    This study carries out an economic analysis of the demand for fuelwood in urban areas using Harare, the capital city of Zimbabwe, as a case study. The demand for fuelwood in urban areas is one of the causes of several environmental and health problems in Africa, where the up to 90% of energy

  15. Analysis of the Structure of Labour Supply and Demand in Four ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Analysis of the Structure of Labour Supply and Demand in Four Target Sectors in Saint-Louis and Louga (Sénégal) ... The project identified four areas in which semi-skilled labour was in high demand - agriculture (market gardening, cereals), fishing, textiles and cattle-raising - not only in the study area but also in the country ...

  16. Time-series analysis of Nigeria rice supply and demand: Error ...

    African Journals Online (AJOL)

    The study examined a time-series analysis of Nigeria rice supply and demand with a view to determining any long-run equilibrium between them using the Error Correction Model approach (ECM). The data used for the study represents the annual series of 1960-2007 (47 years) for rice supply and demand in Nigeria, ...

  17. Modeling, Analysis, and Control of Demand Response Resources

    Energy Technology Data Exchange (ETDEWEB)

    Mathieu, Johanna L. [Univ. of California, Berkeley, CA (United States)

    2012-05-01

    While the traditional goal of an electric power system has been to control supply to fulfill demand, the demand-side can plan an active role in power systems via Demand Response (DR), defined by the Department of Energy (DOE) as “a tariff or program established to motivate changes in electric use by end-use customers in response to changes in the price of electricity over time, or to give incentive payments designed to induce lower electricity use at times of high market prices or when grid reliability is jeopardized” [29]. DR can provide a variety of benefits including reducing peak electric loads when the power system is stressed and fast timescale energy balancing. Therefore, DR can improve grid reliability and reduce wholesale energy prices and their volatility. This dissertation focuses on analyzing both recent and emerging DR paradigms. Recent DR programs have focused on peak load reduction in commercial buildings and industrial facilities (C&I facilities). We present methods for using 15-minute-interval electric load data, commonly available from C&I facilities, to help building managers understand building energy consumption and ‘ask the right questions’ to discover opportunities for DR. Additionally, we present a regression-based model of whole building electric load, i.e., a baseline model, which allows us to quantify DR performance. We use this baseline model to understand the performance of 38 C&I facilities participating in an automated dynamic pricing DR program in California. In this program, facilities are expected to exhibit the same response each DR event. We find that baseline model error makes it difficult to precisely quantify changes in electricity consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. Therefore, we present a method to compute baseline model error and a metric to determine how much observed DR variability results from baseline model error rather than real

  18. Comparative Demand Analysis for Rice in Three States of South ...

    African Journals Online (AJOL)

    Dauda Omoba

    However, combined application of 42g NPKMg compound fertilizer ... second to that of Soybean oil in terms of world .... assuming that free gravitational water would ..... by the action of micro-organisms. .... Analysis Part 3–Chemical Methods,.

  19. Fourier Analysis for Demand Forecasting in a Fashion Company

    Directory of Open Access Journals (Sweden)

    Andrea Fumi

    2013-08-01

    sectors. The entire analysis was performed on a common spreadsheet, in order to demonstrate that accurate results exploiting advanced numerical computation techniques can be carried out without necessarily using expensive software.

  20. SVD/MCMC Data Analysis Pipeline for Global Redshifted 21-cm Spectrum Observations of the Cosmic Dawn and Dark Ages

    Science.gov (United States)

    Burns, Jack O.; Tauscher, Keith; Rapetti, David; Mirocha, Jordan; Switzer, Eric

    2018-01-01

    We have designed a complete data analysis pipeline for constraining Cosmic Dawn physics using sky-averaged spectra in the VHF range (40-200 MHz) obtained either from the ground (e.g., the Experiment to Detect Global Epoch of Reionization Signal, EDGES; and the Cosmic Twilight Polarimeter, CTP) or from orbit above the lunar farside (e.g., the Dark Ages Radio Explorer, DARE). In the case of DARE, we avoid Earth-based RFI, ionospheric effects, and radio solar emissions (when observing at night). To extract the 21-cm spectrum, we parametrize the cosmological signal and systematics with two separate sets of modes defined through Singular Value Decomposition (SVD) of training set curves. The training set for the 21-cm spin-flip brightness temperatures is composed of theoretical models of the first stars, galaxies and black holes created by varying physical parameters within the ares code. The systematics training set is created using sky and beam data to model the beam-weighted foregrounds (which are about four orders of magnitude larger than the signal) as well as expected lab data to model receiver systematics. To constrain physical parameters determining the 21-cm spectrum, we apply to the extracted signal a series of consecutive fitting techniques including two usages of a Markov Chain Monte Carlo (MCMC) algorithm. Importantly, our pipeline efficiently utilizes the significant differences between the foreground and the 21-cm signal in spatial and spectral variations. In addition, it incorporates for the first time polarization data, dramatically improving the constraining power. We are currently validating this end-to-end pipeline using detailed simulations of the signal, foregrounds and instruments. This work was directly supported by the NASA Solar System Exploration Research Virtual Institute cooperative agreement number 80ARC017M0006 and funding from the NASA Ames Research Center cooperative agreement NNX16AF59G.

  1. Crude oil growth impact on pipelines

    International Nuclear Information System (INIS)

    Devries, O.

    2005-01-01

    This paper provided an outline of crude oil production and supply in Canada. Details of oil sands projects in Athabasca, Cold Lake and Peace River were presented. A chart of oil sands growth by major project was provided. A list of new emerging oil sands crude types was also presented along with details of a synthetic bitumen blending synergy. Maps of Western Canadian crude oil markets were provided, along with details of refinery and market demand by crude type. Various pipeline alternatives to new markets were examined, with reference to Enbridge Pipeline's supply and capacity. Details of the Hardisty to U.S Gulf Coast Pipeline and the Edmonton to Prince Rupert Pipeline and its terminal and dock facilities were presented. It was concluded that pipeline capacity and seasonal factors will influence market demand, while linefill, crude types and the quality of the product will influence operational strategies. tabs., figs

  2. Effect of geometry, material and pressure variability on strain and stress fields in dented pipelines under static and cyclic pressure loading using probability analysis

    Energy Technology Data Exchange (ETDEWEB)

    Al-Muslim, Husain Mohammed; Arif, Abul Fazal M. [King Fahd University of Petroleum and Minerals, Dhahran (Saudi Arabia)

    2010-07-01

    Mechanical damage in transportation pipelines is an issue of extreme importance to pipeline operators and many others. Appropriate procedures for severity assessment are necessary. This paper mainly studies the effect of geometry, material and pressure variability on strain and stress fields in dented pipelines subjected to static and cyclic pressure. Finite element analysis (FEA) has often been used to overcome the limitations of a full-scale test, but it is still impossible to run FEA for all possible combinations of parameters. Probabilistic analysis offers an excellent alternative method to determine the sensitivity of the strain and stress fields to each of those input parameters. A hundred cases were randomly generated with Monte Carlo simulations and analyzed, a general formula was proposed to relate the output variables in terms of practically measured variables, and regression analysis was performed to confirm the appropriateness of the general formula.

  3. Analysis of the Demand for Sustainable Business Tourism

    DEFF Research Database (Denmark)

    Lyck, Lise

    2013-01-01

    This paper introduces the concept of sustainable business tourism and identifies the stakeholders. The development of the interest in sustainable business tourism from COP15 in Copenhagen to COP17 in Durban is presented as an overview, it is followed by an interest analysis of the stakeholders......' positions in relation to decision making on applying sustainability in business tourism....

  4. Comparative Demand Analysis for Rice in Three States of South ...

    African Journals Online (AJOL)

    Dauda Omoba

    Agro-Science Journal of Tropical Agriculture, Food, Environment and Extension ... study the effect of sources of organic manures on the growth and yield of two cultivars of .... Result of physico-chemical analysis of the soils in ... (WAT) in Makurdi application of moringa leaf, ..... properties that transform into high fertility.

  5. Stochastic and Statistical Analysis of Utility Revenues and Weather Data Analysis for Consumer Demand Estimation in Smart Grids.

    Science.gov (United States)

    Ali, S M; Mehmood, C A; Khan, B; Jawad, M; Farid, U; Jadoon, J K; Ali, M; Tareen, N K; Usman, S; Majid, M; Anwar, S M

    2016-01-01

    In smart grid paradigm, the consumer demands are random and time-dependent, owning towards stochastic probabilities. The stochastically varying consumer demands have put the policy makers and supplying agencies in a demanding position for optimal generation management. The utility revenue functions are highly dependent on the consumer deterministic stochastic demand models. The sudden drifts in weather parameters effects the living standards of the consumers that in turn influence the power demands. Considering above, we analyzed stochastically and statistically the effect of random consumer demands on the fixed and variable revenues of the electrical utilities. Our work presented the Multi-Variate Gaussian Distribution Function (MVGDF) probabilistic model of the utility revenues with time-dependent consumer random demands. Moreover, the Gaussian probabilities outcome of the utility revenues is based on the varying consumer n demands data-pattern. Furthermore, Standard Monte Carlo (SMC) simulations are performed that validated the factor of accuracy in the aforesaid probabilistic demand-revenue model. We critically analyzed the effect of weather data parameters on consumer demands using correlation and multi-linear regression schemes. The statistical analysis of consumer demands provided a relationship between dependent (demand) and independent variables (weather data) for utility load management, generation control, and network expansion.

  6. Cloud CPFP: a shotgun proteomics data analysis pipeline using cloud and high performance computing.

    Science.gov (United States)

    Trudgian, David C; Mirzaei, Hamid

    2012-12-07

    We have extended the functionality of the Central Proteomics Facilities Pipeline (CPFP) to allow use of remote cloud and high performance computing (HPC) resources for shotgun proteomics data processing. CPFP has been modified to include modular local and remote scheduling for data processing jobs. The pipeline can now be run on a single PC or server, a local cluster, a remote HPC cluster, and/or the Amazon Web Services (AWS) cloud. We provide public images that allow easy deployment of CPFP in its entirety in the AWS cloud. This significantly reduces the effort necessary to use the software, and allows proteomics laboratories to pay for compute time ad hoc, rather than obtaining and maintaining expensive local server clusters. Alternatively the Amazon cloud can be used to increase the throughput of a local installation of CPFP as necessary. We demonstrate that cloud CPFP allows users to process data at higher speed than local installations but with similar cost and lower staff requirements. In addition to the computational improvements, the web interface to CPFP is simplified, and other functionalities are enhanced. The software is under active development at two leading institutions and continues to be released under an open-source license at http://cpfp.sourceforge.net.

  7. Analysis of the strengthening mechanisms in pipeline steels as a function of the hot rolling parameters

    International Nuclear Information System (INIS)

    Carretero Olalla, V.; Bliznuk, V.; Sanchez, N.; Thibaux, P.; Kestens, L.A.I.; Petrov, R.H.

    2014-01-01

    The yield strength of different pipeline steel grades, rolled under four different conditions, was correlated with calculated strengthening contributions. Slabs with the same composition were rolled under identical roughing conditions but varied finish rolling temperature (FRT). Two cooling routes, consisting of accelerated water cooling condition (ACC) followed by slow cooling in an oven to simulate coiling and air cooling were applied after the last rolling pass. The microstructures obtained after each thermo mechanical controlled process (TMCP) schedule, were characterized using Transmission Electron Microscopy (TEM), Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Electron backscatter diffraction (EBSD). The mechanical properties of the plates were determined by means of tensile tests and Charpy V-notch impact test. It was confirmed that a combination of fast cooling rate and low finish rolling temperature produces higher strength than the slow cooling rate and high finish rolling temperature. Contributions to the strengthening arising from the various microstructural features like solid solution strengthening, grain size, dislocation density and precipitation hardening, were analyzed using Taylor, Hall–Petch and Ashby–Orowan approaches. The root of the sum of the squares method was applied to link the experimental with the model-predicted strength. It is believed that this approach provides a better understanding of the effect of TMCP parameters on the microstructure and strengthening mechanisms in pipeline steels

  8. Cognitive and collaborative demands of freight conductor activities: results and implications of a cognitive task analysis

    Science.gov (United States)

    2012-07-31

    This report presents the results of a cognitive task analysis (CTA) that examined the cognitive and collaborative demands placed on conductors, as well as the knowledge and skills that experienced conductors have developed that enable them to operate...

  9. Energy Demand and Supply Analysis and Outlook - Energy Forecast for 2001 and Policy Issues

    Energy Technology Data Exchange (ETDEWEB)

    Na, In Gang; Ryu, Ji Chul [Korea Energy Economics Institute, Euiwang (Korea)

    2000-12-01

    The energy consumption in Korea has grown at impressive rates during the last 3 decades, along with the economic growth. The global concern about the environment issue and the restructuring in Korea energy industry has an effect on the pattern and trend of energy demand in Korea. Under the situation, this research are focusing on the analysis of energy consumption and forecast of energy demand. First of all, we analyze the trends and major characteristics of energy consumption, beginning with 1970s and up to the third quarter of 2000. In the analysis of energy consumption by energy types, we also perform qualitative analysis on the trends and characteristics of each energy types, including institutional analysis. In model section, we start with the brief description of synopsis and outline the survey on empirical models for energy demand. The econometric model used in KEEI's short-term energy forecast is outlined, followed by the result of estimations. The 2001 energy demand forecast is predicted in detail by sectors and energy types. In the year 2001, weak demand is projected to continue through the First Half, and pick up its pace of growth only in the Second Half. Projected total demand is 201.3 million TOE or 4.4% growth. In the last section, the major policy issues are summarized in three sub-sections: the restructuring in energy industry, the security of energy demand and supply, international energy cooperation including south-north energy cooperation. (author). 86 refs., 43 figs., 73 tabs.

  10. A comparative analysis of tourism destination demand in Portugal

    OpenAIRE

    Serra, Jaime; Correia, Antónia; Rodrigues, Paulo M.M.

    2014-01-01

    Tourism has experienced different levels of development in the different regions of Portugal.To frame this development, in this paper dynamic panel data models were estimated with the objective of explaining the evolution of international overnight stays in each region.Secondary data from 2000 to 2011 was used.The analysis includes the main tourism source markets for Portugal, such as the United Kingdom, Germany,the Netherlands, Ireland, France and Spain. The tourism literature suggests that,...

  11. An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study.

    Science.gov (United States)

    Wang, Zichen; Ma'ayan, Avi

    2016-01-01

    RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA) and hierarchical clustering (HC) plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. We apply the pipeline to a recently published RNA-seq dataset collected from human neuronal progenitors infected with the Zika virus (ZIKV). In addition to confirming the presence of cell cycle genes among the genes that are downregulated by ZIKV, our analysis uncovers significant overlap with upregulated genes that when knocked out in mice induce defects in brain morphology. This result potentially points to the molecular processes associated with the microcephaly phenotype observed in newborns from pregnant mothers infected with the virus. In addition, our analysis predicts small molecules that can either mimic or reverse the expression changes induced by ZIKV. The IPython notebook and Docker image are freely available at:  http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb and  https://hub.docker.com/r/maayanlab/zika/.

  12. An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus study [version 1; referees: 2 approved

    Directory of Open Access Journals (Sweden)

    Zichen Wang

    2016-07-01

    Full Text Available RNA-seq analysis is becoming a standard method for global gene expression profiling. However, open and standard pipelines to perform RNA-seq analysis by non-experts remain challenging due to the large size of the raw data files and the hardware requirements for running the alignment step. Here we introduce a reproducible open source RNA-seq pipeline delivered as an IPython notebook and a Docker image. The pipeline uses state-of-the-art tools and can run on various platforms with minimal configuration overhead. The pipeline enables the extraction of knowledge from typical RNA-seq studies by generating interactive principal component analysis (PCA and hierarchical clustering (HC plots, performing enrichment analyses against over 90 gene set libraries, and obtaining lists of small molecules that are predicted to either mimic or reverse the observed changes in mRNA expression. We apply the pipeline to a recently published RNA-seq dataset collected from human neuronal progenitors infected with the Zika virus (ZIKV. In addition to confirming the presence of cell cycle genes among the genes that are downregulated by ZIKV, our analysis uncovers significant overlap with upregulated genes that when knocked out in mice induce defects in brain morphology. This result potentially points to the molecular processes associated with the microcephaly phenotype observed in newborns from pregnant mothers infected with the virus. In addition, our analysis predicts small molecules that can either mimic or reverse the expression changes induced by ZIKV. The IPython notebook and Docker image are freely available at: http://nbviewer.jupyter.org/github/maayanlab/Zika-RNAseq-Pipeline/blob/master/Zika.ipynb and https://hub.docker.com/r/maayanlab/zika/.

  13. Comparative QRA (Quantitative Risk Analysis) of natural gas distribution pipelines in urban areas; Analise comparativa dos riscos da operacao de linhas de gas natural em areas urbanas

    Energy Technology Data Exchange (ETDEWEB)

    Oliveira, Luiz Fernando S. de [Energy Solutions South America (Brazil); Cardoso, Cassia de O.; Storch, Rafael [Det Norske Veritas (DNV) (Brazil)

    2008-07-01

    The natural gas pipeline network grows around the world, but its operation inherently imposes a risk to the people living next to pipelines. Due to this, it is necessary to conduct a risk analysis during the environmental licensing in Brazil. Despite the risk analysis methodology is well established, some points of its application for the distribution pipelines are still under discussion. This paper presents a methodology that examines the influences of major projects and operating parameters on the risk calculation of a distribution pipeline accident in urban areas as well as the possible accident scenarios assessment complexity. The impact of some scenarios has been evaluated using a Computational Fluid Dynamics tool. The results indicate that, under certain conditions, the risks from the pipeline operation under operating pressures of 20 bar may be acceptable in location class 3 or even in class 4. These results play a very important role if management decisions on the growth of the distribution of natural gas network in densely populated areas as well as in the improvement of laws to control the activity of distribution of natural gas. (author)

  14. Analysis of soil fungal communities by amplicon pyrosequencing: current approaches to data analysis and the introduction of the pipeline SEED

    Czech Academy of Sciences Publication Activity Database

    Větrovský, Tomáš; Baldrian, Petr

    2013-01-01

    Roč. 49, č. 8 (2013), s. 1027-1037 ISSN 0178-2762 R&D Projects: GA MŠk LD12050; GA MŠk LD12048; GA ČR GAP504/12/0709 Institutional support: RVO:61388971 Keywords : Fungal community * Internal transcribed spacer * Pyrosequencing pipeline Subject RIV: EE - Microbiology, Virology Impact factor: 3.396, year: 2013

  15. The analysis of indiference and the price elasticity of demand between different categories of agricultural products

    Directory of Open Access Journals (Sweden)

    Vukadinović Predrag

    2017-01-01

    Full Text Available In this paper, the analysis of the price elasticity of demand of four different categories of agricultural products in the Republic of Serbia was described. Differentiating the price and demand of these products by sales points, and using the least squares approximation method, the elasticity for all different agricultural categories was expressed in the functional form. According to this, the coefficients of elasticity of the price and demand were computed and between different agricultural categories were analyzed. The results we obtained show that the market of agricultural products in Serbia is mostly inelastic because the coefficients of inelasticity and indifference of demand to change of prices, are dominant. The influence of factors on the elasticity of demand that are not of price character, proved to be very pronounced. The relationship of the two segments of agricultural market (markets and shops was also analysed and it was demonstrated that these two segments have a slight correlation.

  16. The Job Demands-Resources Model: An Analysis of Additive and Joint Effects of Demands and Resources

    Science.gov (United States)

    Hu, Qiao; Schaufeli, Wilmar B.; Taris, Toon W.

    2011-01-01

    The present study investigated the additive, synergistic, and moderating effects of job demands and job resources on well-being (burnout and work engagement) and organizational outcomes, as specified by the Job Demands-Resources (JD-R) model. A survey was conducted among two Chinese samples: 625 blue collar workers and 761 health professionals. A…

  17. Degradation evaluation of high temperature pipeline material for power plant using ultrasonic noise analysis

    International Nuclear Information System (INIS)

    Lee, Sang Guk; Chung, Min Hwa; Cho, Yong Sang; Lee, In Cheol

    2001-01-01

    Boiler high-temperature pipelines such as main steam pipe, header and steam drum in fossil power plants are degraded by creep and thermal fatigue damage due to severe operating conditions such as high temperature and high pressure for an extended period time. Conventional measurement techniques for measuring creep damage have such disadvantages as complex preparation and measurement procedures, too many control parameters. And also these techniques have low practicality and applied only to component surfaces with good accessibility. In this paper, artificial degradation test and ultrasonic measurement for their degraded specimens were carried out for the purpose of evaluation for creep and thermal fatigue damage. Absolute measuring method of quantitative ultrasonic measurement for material degradation was established, and long term creep/thermal fatigue degradation tests using life prediction formula were carried out. As a result of ultrasonic tests for crept and thermal fatigued specimens, we conformed that the ultrasonic noise linearly increased in proportion to the increase of degradation.

  18. Quantitative Analysis of Mg in Pipeline Dirt Based on Laser-Induced Breakdown Spectroscopy

    International Nuclear Information System (INIS)

    Wang Shaolong; Wang Yangen; Chen Shanjun; Chen Qi

    2015-01-01

    In order to maintain the pipeline better and remove the dirt more effectively, it was necessary to analyze the contents of elements in dirt. Mg in soil outside of the pipe and the dirt inside of the pipe was quantitatively analyzed and compared by using the laser-induced breakdown spectroscopy (LIBS). Firstly, Mg was quantitatively analyzed on the basis of Mg I 285.213 nm by calibration curve for integrated intensity and peak intensity of the spectrum before and after subtracting noise, respectively. Then calibration curves on the basis of Mg II 279.553 nm and Mg II 280.270 nm were analyzed. The results indicated that it is better to use integrated intensity after subtracting noise of the spectrum line with high relative intensity to make the calibration curve. (paper)

  19. The effectiveness of energy service demand reduction: A scenario analysis of global climate change mitigation

    International Nuclear Information System (INIS)

    Fujimori, S.; Kainuma, M.; Masui, T.; Hasegawa, T.; Dai, H.

    2014-01-01

    A reduction of energy service demand is a climate mitigation option, but its effectiveness has never been quantified. We quantify the effectiveness of energy service demand reduction in the building, transport, and industry sectors using the Asia-Pacific Integrated Assessment/Computable General Equilibrium (AIM/CGE) model for the period 2015–2050 under various scenarios. There were two major findings. First, a 25% energy service demand reduction in the building, transport, and basic material industry sectors would reduce the GDP loss induced by climate mitigation from 4.0% to 3.0% and from 1.2% to 0.7% in 2050 under the 450 ppm and 550 ppm CO 2 equivalent concentration stabilization scenarios, respectively. Second, the effectiveness of a reduction in the building sector's energy service demand would be higher than those of the other sectors at the same rate of the energy service demand reduction. Furthermore, we also conducted a sensitivity analysis of different socioeconomic conditions, and the climate mitigation target was found to be a key determinant of the effectiveness of energy service demand reduction measures. Therefore, more certain climate mitigation targets would be useful for the decision makers who design energy service demand reduction measures. - Highlights: • The effectiveness of a reduction in energy service demand is quantified. • A 25% reduction in energy service demand would be equivalent to 1% of GDP in 2050. • Stringent mitigation increases the effectiveness of energy service demand reduction. • Effectiveness of a reduction in energy demand service is higher in the building sector

  20. Astrium suborbital spaceplane project: Demand analysis of suborbital space tourism

    Science.gov (United States)

    Le Goff, Thierry; Moreau, Antoine

    2013-12-01

    ASTRIUM is preparing the development of a safe and passenger friendly Suborbital Spaceplane, taking off and landing from a standard runway, powered by turbofans and using a rocket engine of proven design to reach 100 km altitude. This vehicle will be able to carry paying passengers to the edge of space and return them safely to their starting point. As a very new potentially adjacent B2C market, Astrium had decided at the beginning of this project to first conduct a full market analysis with the support of a worldwide survey based Research Company (IPSOS) in order to assess reality and credibility of this market. Two campaigns have been done, the first one in 2007 and the second one in 2010 after the international financial crisis. Last one has been also the opportunity to optimize quality of models by focusing in Asia region. This article describes the methodology used for this survey and unveils some results in term of size of this market and typology of the customers.

  1. Industrial energy demand - a micro panel data analysis. Phase 1

    International Nuclear Information System (INIS)

    Bue Bjoerner, T.; Togeby, M.; Christensen, J.

    1998-10-01

    The matching of several existing databases - covering seven different years, two different databases from Statistics Denmark and various information from DEA - has been a challenging task. Despite a relatively automatic procedure the result is promising. More than 2,700 companies can be followed for more than three years and this means that the majority (65-85%) of the energy consumption in Danish industry is included. The number of observations that can be used in the analysis is better than expected. The constructed database has a large number of variables. It includes, e.g. energy consumption of eight major energy sources (and several minor fuels), individual prices for electricity and district heating, information about production value, value added, investments, company size and industrial sector. To this we have added general energy prices for other fuels, information on taxes, subsidies given to individual companies and energy agreements between authorities and individual companies. The combination of micro level, the many variables, the panel structure and the number of observations make the database unique compared to previous data (Danish as well as international) used to analyse industrial energy consumption. The database can be used for a variety of analyses. In the next section we will present simple models that can be used in the analyses of the data. These are single equation models of the energy consumption. In the future more general models can be applied, e.g. with representation of energy, labour and capital. (au)

  2. A Framework for Propagation of Uncertainties in the Kepler Data Analysis Pipeline

    Science.gov (United States)

    Clarke, Bruce D.; Allen, Christopher; Bryson, Stephen T.; Caldwell, Douglas A.; Chandrasekaran, Hema; Cote, Miles T.; Girouard, Forrest; Jenkins, Jon M.; Klaus, Todd C.; Li, Jie; hide

    2010-01-01

    The Kepler space telescope is designed to detect Earth-like planets around Sun-like stars using transit photometry by simultaneously observing 100,000 stellar targets nearly continuously over a three and a half year period. The 96-megapixel focal plane consists of 42 charge-coupled devices (CCD) each containing two 1024 x 1100 pixel arrays. Cross-correlations between calibrated pixels are introduced by common calibrations performed on each CCD requiring downstream data products access to the calibrated pixel covariance matrix in order to properly estimate uncertainties. The prohibitively large covariance matrices corresponding to the 75,000 calibrated pixels per CCD preclude calculating and storing the covariance in standard lock-step fashion. We present a novel framework used to implement standard propagation of uncertainties (POU) in the Kepler Science Operations Center (SOC) data processing pipeline. The POU framework captures the variance of the raw pixel data and the kernel of each subsequent calibration transformation allowing the full covariance matrix of any subset of calibrated pixels to be recalled on-the-fly at any step in the calibration process. Singular value decomposition (SVD) is used to compress and low-pass filter the raw uncertainty data as well as any data dependent kernels. The combination of POU framework and SVD compression provide downstream consumers of the calibrated pixel data access to the full covariance matrix of any subset of the calibrated pixels traceable to pixel level measurement uncertainties without having to store, retrieve and operate on prohibitively large covariance matrices. We describe the POU Framework and SVD compression scheme and its implementation in the Kepler SOC pipeline.

  3. APPLIED OF IMPRESSED CURRENT CATHODIC PROTECTION DESIGN FOR FUEL PIPELINE NETWORK AT NAVAL BASE

    Directory of Open Access Journals (Sweden)

    k. Susilo

    2017-06-01

    Full Text Available Indonesian Navy (TNI AL is the main component for Maritime Security and Defence. Because of that, TNI AL needs Indonesian Warship (KRI to covered Maritime area. The main requirement from KRI is fulfilled by demand. To pock of fuel demand from KRI at Naval Base, it needs a new pipeline of fuel distribution network system. The pipeline network system used for maximum lifetime must be protected from corrosion. Basically, there are five methods of corrosion control such as change to a more suitable material, modification to the environment, use of protective coating, design modification to the system or component, and the application of cathodic or anodic protection. Cathodic protection for pipeline available in two kinds, namely Sacrifice Anode and Impressed Current Cathodic Protection (ICCP. This paper makes analysis from design of Impressed Current Cathodic Protection and total current requirement in the method. This paper showed both experimental from speciment test and theoritical calculation. The result showed that design of Impressed Current Cathodic Protection on fuel distribution pipeline network system requires voltage 33,759 V(DC, protection current 6,6035 A(DC by theoritical calculation and 6,544 A(DC from pipeline specimen test, with 0,25 mpy for corrosion rate. Transformer Rectifier design needs requirements 45 V with 10 A for current. This research result can be made as literature and standardization for Indonesian Navy in designing the Impressed Current Cathodic Protection for fuel distribution pipeline network system.

  4. Modeling and analysis of long term energy demands in residential sector of pakistan

    International Nuclear Information System (INIS)

    Rashid, T.; Sahir, M.H.

    2015-01-01

    Residential sector is the core among the energy demand sectors in Pakistan. Currently, various techniques are being used worldwide to assess future energy demands including integrated system modeling (ISM). Therefore, the current study is focused on implementation of ISM approach for future energy demand analysis of Pakistan's residential sector in terms of increase in population, rapid urbanization, household size and type, and increase/decrease in GDP. A detailed business-as-usual (BAU) model is formulated in TIMES energy modeling framework using different factors like growth in future energy services, end-use technology characterization, and restricted fuel supplies. Additionally, the developed model is capable to compare the projected energy demand under different scenarios e.g. strong economy, weak economy and energy efficiency. The implementation of ISM proved a viable approach to predict the future energy demands of Pakistan's residential sector. Furthermore, the analysis shows that the energy consumption in the residential sector would be 46.5 Mtoe (Million Ton of Oil Equivalent) in 2040 compared to 23 Mtoe of the base year (2007) along with 600% increase in electricity demands. The study further maps the potential residential energy policies to congregate the future demands. (author)

  5. A theoretical analysis of price elasticity of energy demand in multistage energy conversion systems

    International Nuclear Information System (INIS)

    Lowe, R.

    2003-01-01

    The objective of this paper is an analytical exploration of the problem of price elasticity of energy demand in multi-stage energy conversion systems. The paper describes in some detail an analytical model of energy demand in such systems. Under a clearly stated set of assumptions, the model makes it possible to explore both the impacts of the number of sub-systems, and of varying sub-system elasticities on overall system elasticity. The analysis suggests that overall price elasticity of energy demand for such systems will tend asymptotically to unity as the number of sub-systems increases. (author)

  6. A theoretical analysis of price elasticity of energy demand in multi-stage energy conversion systems

    International Nuclear Information System (INIS)

    Lowe, Robert

    2003-01-01

    The objective of this paper is an analytical exploration of the problem of price elasticity of energy demand in multi-stage energy conversion systems. The paper describes in some detail an analytical model of energy demand in such systems. Under a clearly stated set of assumptions, the model makes it possible to explore both the impacts of the number of sub-systems, and of varying sub-system elasticities on overall system elasticity. The analysis suggests that overall price elasticity of energy demand for such systems will tend asymptotically to unity as the number of sub-systems increases

  7. United Kingdom and United States Tourism Demand for Malaysia:A Cointegration Analysis

    OpenAIRE

    Habibi, Fateh; Abdul Rahim, Khalid; Chin, Lee

    2008-01-01

    Tourism industry has been an important contributor to the Malaysia economy. In this paper we inspect variations in the long run demand for tourism from United Kingdom and United States to Malaysia. The demand for tourism has been explained by macroeconomic variables, including income in origin countries, tourism prices in Malaysia, and travel cost between the two countries. Annual data from 1972 to 2006 are used for the analysis. Augmented Dickey-Fuller and Johansen’s maximum likelihood tests...

  8. Analysis of Japanese energy demand structure based on the interindustry-relations table

    International Nuclear Information System (INIS)

    Kanai, Akira; Kashihara, Toshinori

    1990-01-01

    Matching of energy-supply system and demand system is very important in dealing with the energy problem. Especially the energy-demand system is important for determing the quantity and quality of the energy demand. The energy demand is created by activities of industry and human life. The best materials which describe these activity conditions is the interindustry-relations table. Authors rely on this table as the basic data for assuming the energy demand analysis of energy system. The defect of this table is that an industrial classification differs in publishing years. So the table is lacking in the time sequential consistency. Therefore we discuss the method to improve the defect in consistency. In addition, this report analyses the energy demand structure in Japan according to the improved method. The research is done by the following procedure, 1. The unified common sector data is made so that an industrial classification in the interindustry-relations tables become common. 2. The quantity of input energy in each section is extracted from the tables. 3. The input energy is converted into the characteristic indicator and the calorific indicator. 4. The section is united using the common sector data. 5. The result is shown in table or graph. 6. The energy demand structure is analyzed based on the tables and the graphs. This interindustry-relations table is offered by request in the form of the magnetic tape. All the data is processed by computer due to the abundant amount of data. This report shows the idea how to process the fable instead of displaying the details. In addition, the problem in the analysis of the table is pointed out as results of the analysis. This report describes the feature of 23-sections classification in analysis of the energy demand structure. This report offers a basic data to make energy scenario to the energy system analysists. (J.P.N.)

  9. Projecting meat and cereals demand for China based on a meta-analysis of income elasticities

    OpenAIRE

    Zhou, De; Yu, Xiaohua; Abler, David; Chen, Danhong

    2014-01-01

    There are many projections for China’s food demand, and the projection results differ significantly from each other. Different values for income elasticities could be a major reason. This study projects meat and cereals demand for China based on a meta-analysis of the income elasticity estimates using a collection of 143 and 240 income elasticity estimates for cereals and meat products, respectively, from 36 primary studies. We find that income elasticities for most cereals (general cereals, ...

  10. The incident of repetitive demands resolution in consumer affairs: empirical analysis of legal feasibility

    Directory of Open Access Journals (Sweden)

    Lucas do Monte Silva

    2017-05-01

    Full Text Available Faced with the scenario of massification of lawsuits, this article intends to analyze the main arguments and questionings of the demands related to moral damage and health plans, on Santa Catarina’s Court of Justice, in order to analyze the possible application of the incident of repetitive demands resolution of the new Civil Procedure Code. To do so, it will be done, first, an analysis of the current context of the Brazilian judiciary, presenting the context of repetitive demands and massification of contracts and introductory aspects of the incident of repetitive demands resolution. Then it will made be a judicial empirical analysis, quantitative and qualitative, through a case study of Santa Catarina Courts of Justice, conducting an empirical study of cross descriptive analysis of the demands related to the issue highlighted above, in order to demonstrate an 'argumentative radiography’ of the judgments of that Court. The results confirmed the possibility of applying IRDR in repetitive demands relating to subjects of this study, with due legal caution, taking into account the high number of “issues of fact” that involve lawsuits that have, among their claims, compensation for moral damages.

  11. Demand, capacity, and access of the outpatient clinic: A framework for analysis and improvement.

    Science.gov (United States)

    van Bussel, Erik Martijn; van der Voort, Marc Boudewijn Victor Rouppe; Wessel, Ronald N; van Merode, Godefridus G

    2018-06-01

    While theoretical frameworks for optimization of the outpatient processes are abundant, practical step-by-step analyses to give leads for improvement, to forecast capacity, and to support decision making are sparse. This article demonstrates how to evaluate and optimize the triad of demand, (future) capacity, and access time of the outpatient clinic using a structured six-step method. All individual logistical patient data of an orthopaedic outpatient clinic of one complete year were analysed using a 6-step method to evaluate demand, supply, and access time. Trends in the data were retrospectively analysed and evaluated for potential improvements. A model for decision making was tested. Both the analysis of the method and actual results were considered as main outcomes. More than 25 000 appointments were analysed. The 6-step method showed to be sufficient to result in valuable insights and leads for improvement. While the overall match between demand and capacity was considered adequate, the variability in capacity was much higher than in demand, thereby leading to delays in access time. Holidays and subsequent weeks showed to be of great influence for demand, capacity, and access time. Using the six-step method, several unfavourable characteristics of the outpatient clinic were revealed and a better match between demand, supply, and access time could have been reached with only minor adjustments. Last, a clinic specific prediction and decision model for demand and capacity was made using the 6-step method. The 6-step analysis can successfully be applied to redesign and improve the outpatient health care process. The results of the analysis showed that national holidays and variability in demand and capacity have a big influence on the outpatient clinic. Using the 6-step method, practical improvements in outpatient logistics were easily found and leads for future decision making were contrived. © 2018 The Authors Journal of Evaluation in Clinical Practice

  12. Analysis Of Factors Affecting Demand Red Chili Pepper Capsicum Annum L In Solok And Effort Fulfillment

    Directory of Open Access Journals (Sweden)

    Zulfitriyana

    2015-08-01

    Full Text Available Research on the analysis of the factors that influence the demand for red chilli Capsicum annuum L in Solok and compliance efforts implemented in March s.d April 2016. The purpose of this study consisted of 1 analyze the factors affecting the demand for red chili in Solok 2 analyze the elasticity of demand for red chili in Solok 3 know the effort that can be done to meet the demand of red chilli in Solok. To achieve the objectives of the first and second use secondary data for 15 fifteen years and to achieve the objectives the third used primary data. The method used is descriptive analytical method a method that is used to describe phenomena that exist which takes place in the present or past. The variables were observed in this study is the X1 price of red chilli X2 the price of green chili X3 onion prices X4 population X5 income and Y the number of requests red chili which is then analyzed by multiple linear regression elasticity of demand and SWOT. The results of that research addressing the factors that influence the demand for red chili in Solok is the price of red chilli itself the price of green chili as a substitute goods the number of population and income while onion prices affect the amount of red chili demand in Solok. But simultaneously variable X1 red chili prices X2 the price of green chili X3 onion prices X4 population and X5 income strongly influence demand red chili in Solok where the F test results show that F count F table 212.262 3600 with a significance level 0.000 0.010 and the most influential variable is the variable X4 population with the greatest value of beta Coefficients is 1100. Based on analysis of the elasticity of demand is known that red chili pepper is a normal good is inelastic to price elasticity coefficient value amp603p of -0.120. Green chili is substituting goods and shallots are complements of red chili with cross elasticity coefficient amp603px1 and amp603px2 respectively by 0293 and -0.635. While the

  13. Energy demand projection of China using a path-coefficient analysis and PSO–GA approach

    International Nuclear Information System (INIS)

    Yu Shiwei; Zhu Kejun; Zhang Xian

    2012-01-01

    Highlights: ► The effect mechanism of China’s energy demand is investigated detailedly. ► A hybrid algorithm PSO–GA optimal energy demands estimating model for China. ► China’s energy demand will reach 4.48 billion tce in 2015. ► The proposed method forecast shows its superiority compared with others. - Abstract: Energy demand projection is fundamental to rational energy planning formulation. The present study investigates the direct and indirect effects of five factors, namely GDP, population, proportion of industrial, proportion of urban population and coal percentage of total energy consumption on China’s energy demand, implementing a path-coefficient analysis. On this basis, a hybrid algorithm, Particle Swarm Optimization and Genetic Algorithm optimal Energy Demand Estimating (PSO–GA EDE) model, is proposed for China. The coefficients of the three forms of the model (linear, exponential and quadratic model) are optimized by proposed PSO–GA. To obtain a combinational prediction of three forms, a departure coefficient method is applied to get the combinational weights. The results show that the China’s energy demand will be 4.48 billion tce in 2015. Furthermore; the proposed method forecast shows its superiority compared with other single optimization method such as GA, PSO or ACO and multiple linear regressions.

  14. A quantitative analysis of the cost-effectiveness of project types in the CDM pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Green, Gavin A.

    2008-09-15

    The flexibility of the CDM is intended to reduce the cost of compliance for Annex 1 countries and contribute to cost-effective reductions. This paper provides a framework for defining cost-effective payments for CDM carbon reductions. The projects in the CDM pipeline are categorised into project types. The data provided in the Project Design Documents is quantitatively assessed to calculate the median cost and range of costs for producing a CER from the project categories. These are measured against the range of prices in the market in order to estimate the level of cost-effectiveness. Global warming potential and size of the project were shown to be key factors in the cost of producing a CER. The results show that although prices for CERs are difficult to define in the primary CER market, many of the project categories generated CERs at a cost well below the lowest market price. The difference in these two values is defined as a loss in cost-effectiveness. The CDM is shown to be successful at developing the 'lowest hanging fruit' but the mechanism could be improved to fulfil the goal of cost-effectiveness by linking the price per CER to the cost of generating a CER. (au)

  15. Pipeline for the Analysis of ChIP-seq Data and New Motif Ranking Procedure

    KAUST Repository

    Ashoor, Haitham

    2011-06-01

    This thesis presents a computational methodology for ab-initio identification of transcription factor binding sites based on ChIP-seq data. This method consists of three main steps, namely ChIP-seq data processing, motif discovery and models selection. A novel method for ranking the models of motifs identified in this process is proposed. This method combines multiple factors in order to rank the provided candidate motifs. It combines the model coverage of the ChIP-seq fragments that contain motifs from which that model is built, the suitable background data made up of shuffled ChIP-seq fragments, and the p-value that resulted from evaluating the model on actual and background data. Two ChIP-seq datasets retrieved from ENCODE project are used to evaluate and demonstrate the ability of the method to predict correct TFBSs with high precision. The first dataset relates to neuron-restrictive silencer factor, NRSF, while the second one corresponds to growth-associated binding protein, GABP. The pipeline system shows high precision prediction for both datasets, as in both cases the top ranked motif closely resembles the known motifs for the respective transcription factors.

  16. BioQueue: a novel pipeline framework to accelerate bioinformatics analysis.

    Science.gov (United States)

    Yao, Li; Wang, Heming; Song, Yuanyuan; Sui, Guangchao

    2017-10-15

    With the rapid development of Next-Generation Sequencing, a large amount of data is now available for bioinformatics research. Meanwhile, the presence of many pipeline frameworks makes it possible to analyse these data. However, these tools concentrate mainly on their syntax and design paradigms, and dispatch jobs based on users' experience about the resources needed by the execution of a certain step in a protocol. As a result, it is difficult for these tools to maximize the potential of computing resources, and avoid errors caused by overload, such as memory overflow. Here, we have developed BioQueue, a web-based framework that contains a checkpoint before each step to automatically estimate the system resources (CPU, memory and disk) needed by the step and then dispatch jobs accordingly. BioQueue possesses a shell command-like syntax instead of implementing a new script language, which means most biologists without computer programming background can access the efficient queue system with ease. BioQueue is freely available at https://github.com/liyao001/BioQueue. The extensive documentation can be found at http://bioqueue.readthedocs.io. li_yao@outlook.com or gcsui@nefu.edu.cn. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  17. Analysis of the changes in the consumption profile of the system use gas in Bolivia-Brazil Gas Pipeline after integration with the Campinas-Rio Gas Pipeline; Analise das alteracoes do perfil de consumo de gas de sistema no Gasoduto Bolivia-Brasil apos a interligacao deste gasoduto com o Campinas-Rio

    Energy Technology Data Exchange (ETDEWEB)

    Santos, Almir Beserra dos; Bisaggio, Helio da Cunha; Veloso, Luciano de Gusmao [Agencia Nacional do Petroleo, Gas Natural e Biocombustiveis (ANP), Rio de Janeiro, RJ (Brazil)

    2008-07-01

    The natural gas pipeline transport is carried out by one or more compression stations. Each station possesses one or more compressors. The compressor's fuel is usually natural gas itself. The amount of natural gas consumed by the compressors fluctuates daily according to the demand at the city-gates. The daily operational result of a pipeline is known as imbalance. The imbalance is the difference between the natural gas entering into a in a pipeline and the volume delivered in the city-gates added to system use gas. The imbalance analyses in a pipeline that uses natural gas powered compressors requires the analyses of the system use gas. The aim of this work is to study the system use gas in the Bolivia-Brazil pipeline using the available data from the Superintendencia de Comercializacao e Movimentacao de Petroleo, seus Derivados e Gas Natural - ANP and compare the change of the volume consumed before and after the entry into operation of the Campinas-Rio gas pipeline. (author)

  18. Preliminary results from the hierarchical glitch pipeline

    International Nuclear Information System (INIS)

    Mukherjee, Soma

    2007-01-01

    This paper reports on the preliminary results obtained from the hierarchical glitch classification pipeline on LIGO data. The pipeline that has been under construction for the past year is now complete and end-to-end tested. It is ready to generate analysis results on a daily basis. The details of the pipeline, the classification algorithms employed and the results obtained with one days analysis on the gravitational wave and several auxiliary and environmental channels from all three LIGO detectors are discussed

  19. PipelineDog: a simple and flexible graphic pipeline construction and maintenance tool.

    Science.gov (United States)

    Zhou, Anbo; Zhang, Yeting; Sun, Yazhou; Xing, Jinchuan

    2018-05-01

    Analysis pipelines are an essential part of bioinformatics research, and ad hoc pipelines are frequently created by researchers for prototyping and proof-of-concept purposes. However, most existing pipeline management system or workflow engines are too complex for rapid prototyping or learning the pipeline concept. A lightweight, user-friendly and flexible solution is thus desirable. In this study, we developed a new pipeline construction and maintenance tool, PipelineDog. This is a web-based integrated development environment with a modern web graphical user interface. It offers cross-platform compatibility, project management capabilities, code formatting and error checking functions and an online repository. It uses an easy-to-read/write script system that encourages code reuse. With the online repository, it also encourages sharing of pipelines, which enhances analysis reproducibility and accountability. For most users, PipelineDog requires no software installation. Overall, this web application provides a way to rapidly create and easily manage pipelines. PipelineDog web app is freely available at http://web.pipeline.dog. The command line version is available at http://www.npmjs.com/package/pipelinedog and online repository at http://repo.pipeline.dog. ysun@kean.edu or xing@biology.rutgers.edu or ysun@diagnoa.com. Supplementary data are available at Bioinformatics online.

  20. Removable pipeline plug

    International Nuclear Information System (INIS)

    Vassalotti, M.; Anastasi, F.

    1984-01-01

    A removable plugging device for a pipeline, and particularly for pressure testing a steam pipeline in a boiling water reactor, wherein an inflatable annular sealing member seals off the pipeline and characterized by radially movable shoes for holding the plug in place, each shoe being pivotally mounted for self-adjusting engagement with even an out-of-round pipeline interior

  1. Pipeline integrity management

    Energy Technology Data Exchange (ETDEWEB)

    Guyt, J.; Macara, C.

    1997-12-31

    This paper focuses on some of the issues necessary for pipeline operators to consider when addressing the challenge of managing the integrity of their systems. Topics are: Definition; business justification; creation and safeguarding of technical integrity; control and deviation from technical integrity; pipelines; pipeline failure assessment; pipeline integrity assessment; leak detection; emergency response. 6 figs., 3 tabs.

  2. Economic evaluation: wood stave pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Rook, M.E.

    The spray of leakage from the wood stave water supply pipeline serving the New England Power Company's (NEPCO) Searsburg hydroelectric development had caused this facility to be dubbed ''The Searsburg Car Wash.'' In July, 1982, excessive leakage from this pipeline prompted NEPCO to perform a technical inspection which would inform the company's decision to replace, repair, or abandon the pipeline. The inspection indicated that a combination of interrelated factors has led to rapid deterioration. The feasibility study, which included a benefit -cost analysis of a times replacement with a continued repair program weighed annually by a risk factor representing the probability of pipeline failure during the replacement period, determined that direct replacement was most advantageous. 4 figures, 1 figures.

  3. Analysis of an inventory model for both linearly decreasing demand and holding cost

    Science.gov (United States)

    Malik, A. K.; Singh, Parth Raj; Tomar, Ajay; Kumar, Satish; Yadav, S. K.

    2016-03-01

    This study proposes the analysis of an inventory model for linearly decreasing demand and holding cost for non-instantaneous deteriorating items. The inventory model focuses on commodities having linearly decreasing demand without shortages. The holding cost doesn't remain uniform with time due to any form of variation in the time value of money. Here we consider that the holding cost decreases with respect to time. The optimal time interval for the total profit and the optimal order quantity are determined. The developed inventory model is pointed up through a numerical example. It also includes the sensitivity analysis.

  4. Peer review CALMET/CALPUFF dispersion modelling analysis : Proposed Duke Point generation facility Georgia Strait Crossing pipeline

    International Nuclear Information System (INIS)

    2002-01-01

    A peer review of the air quality dispersion modeling analysis for the proposed gas-fired plant at Duke Point in the vicinity of Nanaimo, British Columbia was required, and SENES Consultants Limited (SENES) was commissioned to perform it. British Columbia Hydro had requested that Levelton Engineering Ltd. prepare an air quality impact assessment, and it was submitted to be included in Vancouver Island Generation Project (VIGP) permit application. This permit application was for the Joint Panel Review of the Georgia Strait Crossing Pipeline (GSX) Project and the British Columbia Environmental Assessment Office. The CALMET/CALPUFF Modelling System had been used by Levelton to conduct the air quality dispersion modelling analysis. Copies of the input and output files that had been used for the conduct of the modelling analysis were provided to SENES. The ability for SENES to reproduce the modelling results that had been published in the GSX application represented the first step in the peer review. This was accomplished by running the files received from Levelton into the CALMET/CALPUFF models. A detailed review of the methodology selected by Levelton during the conduct of the dispersion modelling analysis was then initiated by SENES. Some deficiencies were identified by SENES, despite concurrence with the overall conceptual approach adopted by Levelton. The deficiencies concerned meteorological data; startup, partial load and upset conditions; pollutant emissions; health risk assessment; cumulative impact on ambient particulate matter 10 concentrations; and collateral environmental impacts. refs., 2 tabs., 21 figs

  5. Start point to savings - Better load demand analysis in commercial buildings

    Energy Technology Data Exchange (ETDEWEB)

    Abaravicius, Juozas; Pyrko, Jurek [Lund Univ., Dept of Energy Sciences (Sweden)

    2007-07-01

    Existing installations and energy systems in most commercial buildings could be used in a more efficient way to provide savings - both in terms of energy and load demand. The key for effective operation is a thorough and detailed analysis of energy use patterns that creates essential baseline for energy savings and the development of demand response (DR) strategies. The knowledge of energy demand variations is still very limited and the use of methods to analyse the load demand is rare. Many utilities have recently installed interval (hourly) metering even for smaller commercial users and households. This is a big step forward; however, experience shows that the data is being used only to a limited extent, mostly for billing purposes only. This paper reports about a study conducted with the objective of developing a detailed load demand analysis for commercial buildings. The study results should provide essential information for the formation and evaluation of future DR and energy efficiency strategies. This study was performed in collaboration with IKEA and E.ON and contributes to an ongoing IKEA energy efficiency programme. Two sample department stores in Sweden were selected and analysed within this project. The demand data analysis covers almost 3 years period, 2004-2006.This study contributes to new knowledge of energy use patterns (load demand) in commercial buildings. It proposes solutions of load-related problems, evaluates energy and load savings potential, identifies and analyses the needs, motives and barriers for participation in DR programmes. The study provides recommendations for ongoing and future efficiency and DR strategies and discusses the potential economic benefits from the DR measures.

  6. Using Count Data and Ordered Models in National Forest Recreation Demand Analysis

    Science.gov (United States)

    Simões, Paula; Barata, Eduardo; Cruz, Luis

    2013-11-01

    This research addresses the need to improve our knowledge on the demand for national forests for recreation and offers an in-depth data analysis supported by the complementary use of count data and ordered models. From a policy-making perspective, while count data models enable the estimation of monetary welfare measures, ordered models allow for the wider use of the database and provide a more flexible analysis of data. The main purpose of this article is to analyse the individual forest recreation demand and to derive a measure of its current use value. To allow a more complete analysis of the forest recreation demand structure the econometric approach supplements the use of count data models with ordered category models using data obtained by means of an on-site survey in the Bussaco National Forest (Portugal). Overall, both models reveal that travel cost and substitute prices are important explanatory variables, visits are a normal good and demographic variables seem to have no influence on demand. In particular, estimated price and income elasticities of demand are quite low. Accordingly, it is possible to argue that travel cost (price) in isolation may be expected to have a low impact on visitation levels.

  7. Biocorrosive activity analysis of the oil pipeline soil in the Khanty-Mansiysk Autonomous Region of Ugra and the Krasnodar Territory of the Russian Federation

    Science.gov (United States)

    Chesnokova, M. G.; Shalay, V. V.; Kriga, A. S.

    2017-08-01

    The purpose of the study was to assess the biocorrosive activity of oil pipeline soil in the Khanty-Mansiysk Autonomous Region of Yugra and the Krasnodar Territory of the Russian Federation, due to the action of a complex of factors and analysis of sulfate-reducing and thionic bacteria content. The number of bacteria in the sulfur cycle (autotrophic thionic and sulfate-reducing bacteria), the total concentration of sulfur and iron in soil samples adjacent to the surface of underground pipelines, the specific electrical resistivity of the soil was determined. A criterion for the biocorrosive activity of the soil (CBA) was established. The study of the biocorrosive activity of the soil has established its features in the area of the oil pipeline construction in the compared territories. In the soil of the Krasnodar Territory pipeline, aggressive samples were recorded in 5.75% of cases, samples with moderate aggressiveness (49.43%), with weak soil aggressiveness (42.53% of cases), and samples with potential aggressiveness (2.30%). On the territory of the Khanty-Mansiysk Autonomous Region of Yugra, samples with weak soil aggressiveness prevailed (55.17% of cases), with moderate aggressiveness (34.5% of cases). When carrying out multiple regression analysis in the system of variables "factors of soil biocorrosive activity", informative data of modeling the indicator "the content of thiobacteria in soil" was established. The results of the research show the need for dynamic monitoring and the development of preventive measures to prevent biocorrosion.

  8. Underground pipeline corrosion

    CERN Document Server

    Orazem, Mark

    2014-01-01

    Underground pipelines transporting liquid petroleum products and natural gas are critical components of civil infrastructure, making corrosion prevention an essential part of asset-protection strategy. Underground Pipeline Corrosion provides a basic understanding of the problems associated with corrosion detection and mitigation, and of the state of the art in corrosion prevention. The topics covered in part one include: basic principles for corrosion in underground pipelines, AC-induced corrosion of underground pipelines, significance of corrosion in onshore oil and gas pipelines, n

  9. Energy-environment policy goals and instruments and electricity demand response. A framework for the analysis

    International Nuclear Information System (INIS)

    Rio, Pablo del; Hernandez, F.

    2004-01-01

    The environment and energy realms have traditionally been two major focus of attention of EU and Member State (MS) policy. This attention has intensified in recent years as a response to, both, internal and external events and strategies (i.e., the Kyoto Protocol). In this context, the EU and its MS have set ambitious goals in the environmental and energy contexts and are already implementing packages of policies and measures. Both policies interact. Although there might be conflicts between both, there are also mutually reinforcing effects with significant policy implications. Actually, as stated in the Amsterdam Treaty, environmental protection is one of the major goals of energy policy (together with 'security of supply' and 'competitive energy systems'). On the other hand, the energy sector is instrumental in the success of environmental policy. In this context, a wide array of measures are currently being implemented in the EU and its MS which have a more or less direct impact on the electricity market. Particularly, Demand Side Management (DSM) activities, promotion of electricity from renewable energy sources (RES-E) and measures aimed at the mitigation of Greenhouse Gas (GHG) emissions are arguably three major instruments which have the potential to contribute to energy and environmental goals. The effectiveness and impact of there measures depends to a large extent on the demand response in the electricity market. Some of there measures affect the electricity demand curve, while others do not have a direct impact on the demand curve but affect the quantity of electricity demand by displacing the electricity supply curve. In turn, the effectiveness of energy and environmental policies may be different when electricity demand response varies (i.e., different elasticity demand). This paper entails an initial effort to provide a theoretical framework for the analysis of the interactions between electricity demand response and the above mentioned energy

  10. Cluster analysis as a tool of guests segmentation by the degree of their demand

    Directory of Open Access Journals (Sweden)

    Damijan Mumel

    2002-01-01

    Full Text Available Authors demonstrate the use of cluster analysis in finding out (ascertaining the homogenity/heterogenity of guests as to the degree of their demand. The degree of guests’ demand is defined according to the importance of perceived service quality components measured by SERVQUAL, which was adopted and adapted, according to the specifics of health spa industry in Slovenia. Goals of the article are: (a the identification of the profile of importance of general health spa service quality components, and (b the identification of groups of guests (segments according to the degree of their demand in the research in 1991 compared with 1999. Cluster analysis serves as useful tool for guest segmentation since it reveals the existence of important differences in the structure of guests in the year 1991 compared with the year 1999. The results serve as a useful database for management in health spas.

  11. S-ProvFlow: provenance model and tools for scalable and adaptive analysis pipelines in geoscience.

    Science.gov (United States)

    Spinuso, A.; Mihajlovski, A.; Atkinson, M.; Filgueira, R.; Klampanos, I.; Sanchez, S.

    2017-12-01

    The reproducibility of scientific findings is essential to improve the quality and application of modern data-driven research. Delivering such reproducibility is challenging in the context of systems handling large data-streams with sophisticated computational methods. Similarly, the SKA (Square Kilometer Array) will collect an unprecedented volume of radio-wave signals that will have to be reduced and transformed into derived products, with impact on space-weather research. This highlights the importance of having cross-disciplines mechanisms at the producer's side that rely on usable lineage data to support validation and traceability of the new artifacts. To be informative, provenance has to describe each methods' abstractions and their implementation as mappings onto distributed platforms and their concurrent execution, capturing relevant internal dependencies at runtime. Producers and intelligent toolsets should be able to exploit the produced provenance, steering real-time monitoring activities and inferring adaptations of methods at runtime.We present a model of provenance (S-PROV) that extends W3C PROV and ProvONE, broadening coverage of provenance to aspects related to distribution, scale-up and steering of stateful streaming operators in analytic pipelines. This is supported by a technical framework for tuneable and actionable lineage, ensuring its relevance to the users' interests, fostering its rapid exploitation to facilitate research practices. By applying concepts such as provenance typing and profiling, users define rules to capture common provenance patterns and activate selective controls based on domain-metadata. The traces are recorded in a document-store with index optimisation and a web API serves advanced interactive tools (S-ProvFlow, https://github.com/KNMI/s-provenance). These allow different classes of consumers to rapidly explore the provenance data. The system, which contributes to the SKA-Link initiative, within technology and

  12. Design of Submarine Pipeline With Respect to Corrosion and Material Selection

    OpenAIRE

    El-Mogi, Hossam

    2016-01-01

    Master's thesis in Offshore technology : subsea technology Pipelines are an essential part of the oil and gas industry as they are the main means of transportation. As the offshore technology advances, subsea pipelines are being operated in more demanding environments. For the pipelines to operate efficiently, they have to be carefully designed. One of the main threats to the integrity of the pipeline is corrosion, which has caused many failures. Corrosion in subsea pipelines has different...

  13. On Leak Localization in the Main Branched and Simple Inclined Gas Pipelines

    OpenAIRE

    T. Davitashvili; G. Gubelidze

    2013-01-01

    In this paper two mathematical models for definition of gas accidental escape localization in the gas pipelines are suggested. The first model was created for leak localization in the horizontal branched pipeline and second one for leak detection in inclined section of the main gas pipeline. The algorithm of leak localization in the branched pipeline did not demand on knowledge of corresponding initial hydraulic parameters at entrance and ending points of each sections of pipeline. For detect...

  14. Crude oil pipeline expansion summary

    International Nuclear Information System (INIS)

    2005-02-01

    The Canadian Association of Petroleum Producers has been working with producers to address issues associated with the development of new pipeline capacity from western Canada. This document presents an assessment of the need for additional oil pipeline capacity given the changing mix of crude oil types and forecasted supply growth. It is of particular interest to crude oil producers and contributes to current available information for market participants. While detailed, the underlying analysis does not account for all the factors that may come into play when individual market participants make choices about which expansions they may support. The key focus is on the importance of timely expansion. It was emphasized that if pipeline expansions lags the crude supply growth, then the consequences would be both significant and unacceptable. Obstacles to timely expansion are also discussed. The report reviews the production and supply forecasts, the existing crude oil pipeline infrastructure, opportunities for new market development, requirements for new pipeline capacity and tolling options for pipeline development. tabs., figs., 1 appendix

  15. Chopped or long roughage: what do calves prefer? Using cross point analysis of double demand functions

    NARCIS (Netherlands)

    Webb, L.E.; Bak Jensen, M.; Engel, B.; Reenen, van C.G.; Gerrits, W.J.J.; Boer, de I.J.M.; Bokkers, E.A.M.

    2014-01-01

    The present study aimed to quantify calves'(Bos taurus) preference for long versus chopped hay and straw, and hay versus straw, using cross point analysis of double demand functions, in a context where energy intake was not a limiting factor. Nine calves, fed milk replacer and concentrate, were

  16. Research on Demand Analysis of the Users of the Senior English Diagnostic System

    Science.gov (United States)

    Guo, Chen; Zhang, Hui; Yao, Qian; Wu, Min

    2013-01-01

    As the significance of learning English is becoming increasingly apparent, more and more English online practice systems are used by English learners. However, a thorough process of research and detailed analysis of user demand have not fully implemented before the design of these systems. As a result, these systems may suffer the defects of low…

  17. Finite-Element Analysis of Crack Arrest Properties of Fiber Reinforced Composites Application in Semi-Elliptical Cracked Pipelines

    Science.gov (United States)

    Wang, Linyuan; Song, Shulei; Deng, Hongbo; Zhong, Kai

    2018-04-01

    In nowadays, repair method using fiber reinforced composites as the mainstream pipe repair technology, it can provide security for X100 high-grade steel energy long-distance pipelines in engineering. In this paper, analysis of cracked X100 high-grade steel pipe was conducted, simulation analysis was made on structure of pipes and crack arresters (CAs) to obtain the J-integral value in virtue of ANSYS Workbench finite element software and evaluation on crack arrest effects was done through measured elastic-plastic fracture mechanics parameter J-integral and the crack arrest coefficient K, in a bid to summarize effect laws of composite CAs and size of pipes and cracks for repairing CAs. The results indicate that the K value is correlated with laying angle λ, laying length L2/D1, laying thickness T1/T2of CAs, crack depth c/T1 and crack length a/c, and calculate recommended parameters for repairing fiber reinforced composite CAs in terms of two different crack forms.

  18. The demand for gasoline in South Africa. An empirical analysis using co-integration techniques

    International Nuclear Information System (INIS)

    Akinboade, Oludele A.; Ziramba, Emmanuel; Kumo, Wolassa L.

    2008-01-01

    Using the recently developed Autoregressive Distributed Lag (ARDL) bound testing approach to co-integration, suggested by Pesaran et al. (Pesaran, M.H., Shin, Y., Smith, R.J. Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics 2001; 16(3) 289-326), we empirically analyzed the long-run relationship among the variables in the aggregate gasoline demand function over the period 1978-2005. Our study confirms the existence of a co-integrating relationship. The estimated price and income elasticities of - 0.47 and 0.36 imply that gasoline demand in South Africa is price and income inelastic. (author)

  19. The demand for gasoline in South Africa. An empirical analysis using co-integration techniques

    Energy Technology Data Exchange (ETDEWEB)

    Akinboade, Oludele A.; Ziramba, Emmanuel; Kumo, Wolassa L. [Department of Economics, University of South Africa, P.O.Box 392, Pretoria 0003 (South Africa)

    2008-11-15

    Using the recently developed Autoregressive Distributed Lag (ARDL) bound testing approach to co-integration, suggested by Pesaran et al. (Pesaran, M.H., Shin, Y., Smith, R.J. Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics 2001; 16(3) 289-326), we empirically analyzed the long-run relationship among the variables in the aggregate gasoline demand function over the period 1978-2005. Our study confirms the existence of a co-integrating relationship. The estimated price and income elasticities of - 0.47 and 0.36 imply that gasoline demand in South Africa is price and income inelastic. (author)

  20. Nonparametric bootstrap analysis with applications to demographic effects in demand functions.

    Science.gov (United States)

    Gozalo, P L

    1997-12-01

    "A new bootstrap proposal, labeled smooth conditional moment (SCM) bootstrap, is introduced for independent but not necessarily identically distributed data, where the classical bootstrap procedure fails.... A good example of the benefits of using nonparametric and bootstrap methods is the area of empirical demand analysis. In particular, we will be concerned with their application to the study of two important topics: what are the most relevant effects of household demographic variables on demand behavior, and to what extent present parametric specifications capture these effects." excerpt

  1. Energy demand, substitution and environmental taxation: An econometric analysis of eight subsectors of the Danish economy

    DEFF Research Database (Denmark)

    Møller, Niels Framroze

    2017-01-01

    in a more environmental-friendly direction. For eight subsectors of the Danish economy, time series (1966–2011) are modeled by means of partial Cointegrated VARs. Long-run demand relations are identified for all subsectors and robust price elasticities are supported in five cases. The results are used......This research contains an econometric analysis of energy demand in trade and industry which allows for substitution between electricity and other energy carriers when relative prices change. The presence of substitution suggests that taxation can be a means of changing the energy input mix...

  2. Price elasticity of on- and off-premises demand for alcoholic drinks: A Tobit analysis.

    Science.gov (United States)

    Jiang, Heng; Livingston, Michael; Room, Robin; Callinan, Sarah

    2016-06-01

    Understanding how price policies will affect alcohol consumption requires estimates of the impact of price on consumption among different types of drinkers and across different consumption settings. This study aims to estimate how changes in price could affect alcohol demand across different beverages, different settings (on-premise, e.g., bars, restaurants and off-premise, e.g., liquor stores, supermarkets), and different levels of drinking and income. Tobit analysis is employed to estimate own- and cross-price elasticities of alcohol demand among 11 subcategories of beverage based on beverage type and on- or off-premise supply, using cross-sectional data from the Australian arm of the International Alcohol Control Survey 2013. Further elasticity estimates were derived for sub-groups of drinkers based on their drinking and income levels. The results suggest that demand for nearly every subcategory of alcohol significantly responds to its own price change, except for on-premise spirits and ready-to-drink spirits. The estimated demand for off-premise beverages is more strongly affected by own price changes than the same beverages in on-premise settings. Demand for off-premise regular beer and off-premise cask wine is more price responsive than demand for other beverages. Harmful drinkers and lower income groups appear more price responsive than moderate drinkers and higher income groups. Our findings suggest that alcohol price policies, such as increasing alcohol taxes or introducing a minimum unit price, can reduce alcohol demand. Price appears to be particularly effective for reducing consumption and as well as alcohol-related harm among harmful drinkers and lower income drinkers. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  3. World nuclear fuel supply and demand prospects until 2030. Analysis of demand change factor of natural uranium and uranium separation work and its influence

    International Nuclear Information System (INIS)

    Murakami, Tomoko

    2007-01-01

    World nuclear power generation continues to spread gently until 2030 from the viewpoint of increase of the electricity demand around Asia, stable energy supply and anti-global warming measure, and the natural uranium demand is predicted to be increased from about 67 ktU in 2004 to 80-100 ktU in 2030. Steps of conversion/separation/reconversion/molding processing of the natural uranium are necessary for nuclear fuel, and the separation work of those is important because it needs high technology. There is a relation of the trade-off through the tale density (0.3% as a standard) between natural uranium and separation work demand. Therefore an analysis was performed of the influence on natural uranium and separation work demand by the change of the tale density and the influence on natural uranium supply and demand prospects by the recovery uranium use. In conclusion it was very likely that the supply and demand of separation work was tight at 0.2%-0.1% as for the cost of most suitable tale density which would appear earlier than natural uranium one and that the recovery uranium could become the backup of the natural uranium. (T. Tanaka)

  4. Global sugar market – the analysis of factors influencing supply and demand

    Directory of Open Access Journals (Sweden)

    Lenka Rumánková

    2013-01-01

    Full Text Available This article deals with an analysis of the world sugar market, and specifically focuses on the supply and demand of refined sugar and their main determinants. The article first identifies the main determinants of the world supply of and demand for sugar, and further, their effect on such variables is quantified. Further, the component correlations on the selected market are analyzed. This consists of the identification of the factors affecting the production of refined sugar, as one of the main elements of the supply of sugar, as well as an analysis of the world price of sugar, as one of the significant factors affecting the world sugar market. The said correlations are quantified with the utilization of regression analysis on the basis of time series of the individual variables within the years 1980–2010. On the basis of the conducted analysis, the main determinants of the sugar supply on the world market within the analyzed period, for which an effect has been established both from an economic viewpoint, as well as from a statistical viewpoint, can be considered to be sugar reserves, its price and the acreage of sugarcane. The main determinant of the demand for sugar is, according to the conducted analysis, the global GDP on a new value level, as well as converted to one inhabitant. Further, the analysis also established the effect of the price of sugar and its reserves on the world production of refined sugar, and, last but not least, also the long-term tendency in the development of the world price of sugar. The analysis has proven significant influence of refined sugar supply, reserves of refined sugar, its price and area of sugar cane on sugar supply. Then, the analysis detected GDP as the main determinant of the sugar demand and the long memory in sugar prices. Finally, the influence of delayed price, reserves and delayed reserves on production has been proven.

  5. A Novel approach for predicting monthly water demand by combining singular spectrum analysis with neural networks

    Science.gov (United States)

    Zubaidi, Salah L.; Dooley, Jayne; Alkhaddar, Rafid M.; Abdellatif, Mawada; Al-Bugharbee, Hussein; Ortega-Martorell, Sandra

    2018-06-01

    Valid and dependable water demand prediction is a major element of the effective and sustainable expansion of municipal water infrastructures. This study provides a novel approach to quantifying water demand through the assessment of climatic factors, using a combination of a pretreatment signal technique, a hybrid particle swarm optimisation algorithm and an artificial neural network (PSO-ANN). The Singular Spectrum Analysis (SSA) technique was adopted to decompose and reconstruct water consumption in relation to six weather variables, to create a seasonal and stochastic time series. The results revealed that SSA is a powerful technique, capable of decomposing the original time series into many independent components including trend, oscillatory behaviours and noise. In addition, the PSO-ANN algorithm was shown to be a reliable prediction model, outperforming the hybrid Backtracking Search Algorithm BSA-ANN in terms of fitness function (RMSE). The findings of this study also support the view that water demand is driven by climatological variables.

  6. Cost analysis of concepts for a demand oriented biogas supply for flexible power generation.

    Science.gov (United States)

    Hahn, Henning; Ganagin, Waldemar; Hartmann, Kilian; Wachendorf, Michael

    2014-10-01

    With the share of intermittent renewable energies within the electricity system rising, balancing services from dispatchable power plants are of increasing importance. Highlighting the importance of the need to keeping fuel costs for flexible power generation to a minimum, the study aims to identify favourable biogas plant configurations, supplying biogas on demand. A cost analysis of five configurations based on biogas storing and flexible biogas production concepts has been carried out. Results show that additional flexibility costs for a biogas supply of 8h per day range between 2€ and 11€MWh(-1) and for a 72h period without biogas demand from 9€ to 19€MWh(-1). While biogas storage concepts were identified as favourable short term supply configurations, flexible biogas production concepts profit from reduced storage requirements at plants with large biogas production capacities or for periods of several hours without biogas demand. Copyright © 2014 Elsevier Ltd. All rights reserved.

  7. Analysis of the demand status and forecast of food cold chain in Beijing

    Directory of Open Access Journals (Sweden)

    Hongjie Lan

    2013-03-01

    Full Text Available Purpose: Food cold chain is very important for ensuring food safety and decreasing the loss in the supply process. It is also benefit for the citizen, because cold chain could promise the food safety and the demand of the special cold food. Beijing, as the capital, the level of food chain is high, compared to other cities, and analysis of the demand status and forecast of food cold chain in Beijing is necessary, it could direct the scientific and health development of cold chain all over our country. Design/methodology/approach: In this paper, in accordance with the investigation, we analysis the demand status of food cold chain from two aspects, then according to the status, we forecast the demand of refrigerated cars and warehouse for food cold chain in Beijing with the multivariate statistics. Findings: From the analysis of the paper, we can see that the need of cold chain logistics grows rapidly, but most consumers are lack of the awareness of the importance of the cold chain and many companies cannot bear the huge investment, it make the gap of the resources of cold chain logistics large and cannot meet the normal need of cold chain logistics in Beijing. Originality/value: The result of this paper could support the relative enterprise to run business in terms of the refrigerated car and warehouse. 

  8. Managing Disasters Using Pressure Dependent Demand Analysis – Case Study of Shirpur Town

    Directory of Open Access Journals (Sweden)

    Madhuri Mulay

    2016-12-01

    Full Text Available Water is the most essential component for sustaining lives of humans and other living creatures. Supplying potable water with adequate residual pressure is a fundamental responsibility of city administration, which they do during normal conditions. But sometimes, abnormal conditions are formed resulting pressure deficient conditions during the daily operations of water distribution networks. These are caused due to common occurrences such as pump failure, pipe bursts, and isolation of major pipes from the system for planned maintenance work and excessive firefighting demands. Total water stop conditions may arise, when the major source supplying water to the city fails in natural disaster such as floods, Tsunami, earthquake or manmade disaster such as terrorist attack. Unlike the pipe failure, longer time is required for restoring water in case of source failure condition. In such situations, the quantity of water is generally decreased and the water distribution systems (WDS may not be able to satisfy all consumers’ demands. In this context, the assumption that all demands are fully satisfied regardless of the pressure in the system becomes unreasonable. A realistic behavior of the network performance can only be attained by considering demands to be pressure dependent. This paper aims to describe how pressure dependent demand analysis is useful for the simulation of disaster scenario due to source failure of the Shirpur town. The simulation of failure scenario is carried out using WaterGEMs software. The paper also aims to prepare the action plans for the recovery of water supply in such crisis conditions.

  9. Correlation Analysis of Water Demand and Predictive Variables for Short-Term Forecasting Models

    Directory of Open Access Journals (Sweden)

    B. M. Brentan

    2017-01-01

    Full Text Available Operational and economic aspects of water distribution make water demand forecasting paramount for water distribution systems (WDSs management. However, water demand introduces high levels of uncertainty in WDS hydraulic models. As a result, there is growing interest in developing accurate methodologies for water demand forecasting. Several mathematical models can serve this purpose. One crucial aspect is the use of suitable predictive variables. The most used predictive variables involve weather and social aspects. To improve the interrelation knowledge between water demand and various predictive variables, this study applies three algorithms, namely, classical Principal Component Analysis (PCA and machine learning powerful algorithms such as Self-Organizing Maps (SOMs and Random Forest (RF. We show that these last algorithms help corroborate the results found by PCA, while they are able to unveil hidden features for PCA, due to their ability to cope with nonlinearities. This paper presents a correlation study of three district metered areas (DMAs from Franca, a Brazilian city, exploring weather and social variables to improve the knowledge of residential demand for water. For the three DMAs, temperature, relative humidity, and hour of the day appear to be the most important predictive variables to build an accurate regression model.

  10. Sustainability Analysis and Market Demand Estimation in the Retail Industry through a Convolutional Neural Network

    Directory of Open Access Journals (Sweden)

    Luyao Wang

    2018-05-01

    Full Text Available The Chinese retail industry is expected to grow dramatically over the next few years, owing to the rapid increase in purchasing power of Chinese consumers. Retail managers should analyze the market demands and avoid dull sales to promote the sustainable development of the retail industry. Economic sustainability in the retail industry, which refers to a suitable return of investment, requires the implementation of precise product allocation strategies in different regions. This study proposed a hybrid model to evaluate economic sustainability in the preparation of goods of retail shops on the basis of market demand evaluation. Through a grid-based convolutional neural network, a regression model was first established to model the relationship between consumer distribution and the potential market demand. Then, another model was proposed to evaluate the sustainability among regions based on their supply-demand analysis. An experiment was conducted based on the actual sales data of retail shops in Guiyang, China. Results showed an immense diversity of sustainability in the entire city and three classes of regions were distinguished, namely, high, moderate, and limited. Our model was proven to be effective in the sustainability evaluation of supply and demand in the retail industry after validation showed that its accuracy reached 92.8%.

  11. Open-Source Pipeline for Large-Scale Data Processing, Analysis and Collaboration, Phase I

    Data.gov (United States)

    National Aeronautics and Space Administration — NASA's observational and modeled data products encompass petabytes of earth science data available for analysis, analytics, and exploitation. Unfortunately, these...

  12. Applications of API RP 1102 in stress analysis of buried pipelines at automated cultivation land; Avaliacao de tensoes em dutos enterrados, em area de cultura mecanizada, a luz da norma API RP 1102

    Energy Technology Data Exchange (ETDEWEB)

    Spagnolo, Rodrigo Alves; Castro, Newton Camelo de [PETROBRAS Transportes S.A. (TRANSPETRO), Rio de Janeiro, RJ (Brazil)

    2005-07-01

    According to the development of the agriculture business in the Midwest of Brazil, it can be noted that the cultivated land has imposed to the right of way pipeline weight and quantity increasing of vehicles moving above TRANSPETRO pipelines. This paper has the objective promoting discussions about this theme, presenting preceding conclusions when analyzing pipeline stresses, when the pipeline equipment are submitted to great loadings of agricultural machines. In order to execute this analysis, analytical formulations were used to compute static and dynamic loadings. These evaluations were referenced from API RP 1102 american norm. Many loading simulations, with different operating and environment configurations to the buried installations, were realized. These data were applied having the purpose of diagnosing typical situations existing in automated cultivated land crossings, related to OSBRA (Oleoduto Sao Paulo - Brasilia) right of way pipeline. (author)

  13. iMir: an integrated pipeline for high-throughput analysis of small non-coding RNA data obtained by smallRNA-Seq.

    Science.gov (United States)

    Giurato, Giorgio; De Filippo, Maria Rosaria; Rinaldi, Antonio; Hashim, Adnan; Nassa, Giovanni; Ravo, Maria; Rizzo, Francesca; Tarallo, Roberta; Weisz, Alessandro

    2013-12-13

    Qualitative and quantitative analysis of small non-coding RNAs by next generation sequencing (smallRNA-Seq) represents a novel technology increasingly used to investigate with high sensitivity and specificity RNA population comprising microRNAs and other regulatory small transcripts. Analysis of smallRNA-Seq data to gather biologically relevant information, i.e. detection and differential expression analysis of known and novel non-coding RNAs, target prediction, etc., requires implementation of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. As a consequence, the analytical workflow is slowed down by the need for continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. We designed a novel modular pipeline (iMir) for comprehensive analysis of smallRNA-Seq data, comprising specific tools for adapter trimming, quality filtering, differential expression analysis, biological target prediction and other useful options by integrating multiple open source modules and resources in an automated workflow. As statistics is crucial in deep-sequencing data analysis, we devised and integrated in iMir tools based on different statistical approaches to allow the operator to analyze data rigorously. The pipeline created here proved to be efficient and time-saving than currently available methods and, in addition, flexible enough to allow the user to select the preferred combination of analytical steps. We present here the results obtained by applying this pipeline to analyze simultaneously 6 smallRNA-Seq datasets from either exponentially growing or growth-arrested human breast cancer MCF-7 cells, that led to the rapid and accurate identification, quantitation and differential expression analysis of ~450 miRNAs, including several novel miRNAs and isomiRs, as well as identification of the putative mRNA targets of differentially expressed mi

  14. Open Source Parallel Image Analysis and Machine Learning Pipeline, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — Today, NASA researchers must create, debug, and tune custom workflows for each analysis. Creation and modification of custom workflows is fragile, non-portable and...

  15. Analysis of the components of a pipeline closure as a unilateral confact problem

    International Nuclear Information System (INIS)

    Barbosa, H.J.C.; Feijoo, R.A.

    1987-03-01

    In many situations in the stress analysis of piping systems and pressure vessels the need to deal with (non-linear) unilateral contact problems arises. A typical case is the analysis of the components of pipe closure. In this work, numerical algorithms developed in previous publications are apllied in an example where the system composed by the closure neck, the blanking plug and the locking ring of a pipe closure is analysed. (Author) [pt

  16. Visual Task Demands and the Auditory Mismatch Negativity: An Empirical Study and a Meta-Analysis.

    Science.gov (United States)

    Wiens, Stefan; Szychowska, Malina; Nilsson, Mats E

    2016-01-01

    Because the auditory system is particularly useful in monitoring the environment, previous research has examined whether task-irrelevant, auditory distracters are processed even if subjects focus their attention on visual stimuli. This research suggests that attentionally demanding visual tasks decrease the auditory mismatch negativity (MMN) to simultaneously presented auditory distractors. Because a recent behavioral study found that high visual perceptual load decreased detection sensitivity of simultaneous tones, we used a similar task (n = 28) to determine if high visual perceptual load would reduce the auditory MMN. Results suggested that perceptual load did not decrease the MMN. At face value, these nonsignificant findings may suggest that effects of perceptual load on the MMN are smaller than those of other demanding visual tasks. If so, effect sizes should differ systematically between the present and previous studies. We conducted a selective meta-analysis of published studies in which the MMN was derived from the EEG, the visual task demands were continuous and varied between high and low within the same task, and the task-irrelevant tones were presented in a typical oddball paradigm simultaneously with the visual stimuli. Because the meta-analysis suggested that the present (null) findings did not differ systematically from previous findings, the available evidence was combined. Results of this meta-analysis confirmed that demanding visual tasks reduce the MMN to auditory distracters. However, because the meta-analysis was based on small studies and because of the risk for publication biases, future studies should be preregistered with large samples (n > 150) to provide confirmatory evidence for the results of the present meta-analysis. These future studies should also use control conditions that reduce confounding effects of neural adaptation, and use load manipulations that are defined independently from their effects on the MMN.

  17. Visual Task Demands and the Auditory Mismatch Negativity: An Empirical Study and a Meta-Analysis

    Science.gov (United States)

    Wiens, Stefan; Szychowska, Malina; Nilsson, Mats E.

    2016-01-01

    Because the auditory system is particularly useful in monitoring the environment, previous research has examined whether task-irrelevant, auditory distracters are processed even if subjects focus their attention on visual stimuli. This research suggests that attentionally demanding visual tasks decrease the auditory mismatch negativity (MMN) to simultaneously presented auditory distractors. Because a recent behavioral study found that high visual perceptual load decreased detection sensitivity of simultaneous tones, we used a similar task (n = 28) to determine if high visual perceptual load would reduce the auditory MMN. Results suggested that perceptual load did not decrease the MMN. At face value, these nonsignificant findings may suggest that effects of perceptual load on the MMN are smaller than those of other demanding visual tasks. If so, effect sizes should differ systematically between the present and previous studies. We conducted a selective meta-analysis of published studies in which the MMN was derived from the EEG, the visual task demands were continuous and varied between high and low within the same task, and the task-irrelevant tones were presented in a typical oddball paradigm simultaneously with the visual stimuli. Because the meta-analysis suggested that the present (null) findings did not differ systematically from previous findings, the available evidence was combined. Results of this meta-analysis confirmed that demanding visual tasks reduce the MMN to auditory distracters. However, because the meta-analysis was based on small studies and because of the risk for publication biases, future studies should be preregistered with large samples (n > 150) to provide confirmatory evidence for the results of the present meta-analysis. These future studies should also use control conditions that reduce confounding effects of neural adaptation, and use load manipulations that are defined independently from their effects on the MMN. PMID:26741815

  18. Geotechnical characterization and finite element pipe/soil interaction modeling of a pipeline installed in an actively moving, permafrost slope

    Energy Technology Data Exchange (ETDEWEB)

    Bidwell, A. [AMEC Earth and Environmental, Calgary, AB (Canada); Sen, M.; Pederson, I. [Enbridge Pipelines Inc., Edmonton, AB (Canada); Yoosef-Ghodsi, N. [C-FER Technologies, Edmonton, AB (Canada)

    2010-07-01

    This paper discussed a pipeline integrity analysis for a buried crude-oil pipeline at a site characterized by unstable permafrost slopes. Data collected from piezometers, inclinometers, and thermistor cables installed as part of a comprehensive geotechnical monitoring program were used to determine the geotechnical character of the site and model pipe/soil interactions. A finite element pipe/soil interaction model was developed to estimate the potential strain to the pipeline capacity in a worst-case scenario involving mass soil movement. The purpose was to determine the necessity of costly mitigation measures. The model showed that the pipeline strain capacity is unlikely to be exceeded in the event of a sudden ground movement at the slope. The soil, permafrost, and slope movement conditions at the site were described along with the methodology and results of the pipe/soil interaction model. The model, in which the pipeline is considered as a continuous structural beam, was used to analyze both the estimated current slope movement and the worst case large magnitude slope movement. To assess the pipeline integrity in the event of mass slope movement, the expected strain demand was compared to the strain capacity, taking into account whether the pipe is heavy wall, line pipe, or containing girth welds. The analysis indicated that the risk of pipeline failure is low in the event of a large magnitude slope movement. The pipe strain measurements were found to be within the design limits for the pipeline. The analysis is relevant to other northern pipeline and linear infrastructure developments. 8 refs., 6 figs.

  19. An analysis of land use planning and equity issues surrounding hazardous liquid and natural gas transmission pipelines in North Carolina

    Science.gov (United States)

    Osland, Anna Christine

    Hazardous liquid and natural gas transmission pipelines have received limited attention by planning scholars even though local development decisions can have broad consequences if a rupture occurs. In this dissertation, I evaluated the implications of land-use planning for reducing risk to transmission pipeline hazards in North Carolina via three investigations. First, using a survey of planning directors in jurisdictions with transmission pipeline hazards, I investigated the land use planning tools used to mitigate pipeline hazards and the factors associated with tool adoption. Planning scholars have documented the difficulty of inducing planning in hazardous areas, yet there remain gaps in knowledge about the factors associated with tool adoption. Despite the risks associated with pipeline ruptures, I found most localities use few mitigation tools, and the adoption of regulatory and informational tools appear to be influenced by divergent factors. Whereas risk perception, commitment, capacity, and community context were associated with total tool and information tool use, only risk perception and capacity factors were associated with regulatory tool use. Second, using interviews of emergency managers and planning directors, I examined the role of agency collaboration for building mitigation capacity. Scholars have highlighted the potential of technical collaboration, yet less research has investigated how inter-agency collaboration shapes mitigation capacity. I identify three categories of technical collaboration, discuss how collaborative spillovers can occur from one planning area to another, and challenge the notion that all technical collaborations result in equal mitigation outcomes. Third, I evaluated characteristics of the population near pipelines to address equity concerns. Surprisingly, I did not find broad support for differences in exposure of vulnerable populations. Nonetheless, my analyses uncovered statistically significant clusters of vulnerable

  20. A perspective on electric vehicles: cost-benefit analysis and potential demand

    International Nuclear Information System (INIS)

    2011-01-01

    This report proposes some quantitative elements to assess the large scale diffusion of electric vehicles and analyse the potential demand for such vehicles. The first part proposes a cost-benefit analysis of the development of electric vehicles based on estimated costs and expected benefits by 2020. It addresses the following issues: framework and hypothesis, total cost of ownership, costs related to the deployment of a network of recharging infrastructures, assessment of external costs, and comparative cost-benefit analysis of electric vehicles. In the second part, the authors aim at identifying a potential demand for electric vehicles from the 2008 French national transport displacement survey (ENTD 2008) which provides recent data on the mobility of the French population

  1. Outlook '98 - Gas and oil pipelines

    International Nuclear Information System (INIS)

    Curtis, B.

    1998-01-01

    Due to rising North American demand, especially by the United States, by the end of 1997 there were plans to build 15 new pipelines over the next three years, at an estimated cost of $17 billion. Canada''s proximity to the United States, combined with huge Canadian reserves, and the fact that Canada already supplies some 15 per cent of U.S. requirements, makes Canada the obvious choice for filling future demand. This explains why most, if not all, current pipeline expansion projects are targeting markets in the U.S. Market forces will determine which of the projects will actually go forward. From the point of view of the Canadian Energy Pipeline Association pipeline regulatory reform, pipeline safety, integrity and climate change will be the Association''s key concerns during 1998. To that end, the Association is cooperating with the National Energy Board in a multi-million dollar study of stress corrosion cracking. The Association has also developed a Manual of Recommended Practices for the use of member companies to assist them to tailor stress corrosion cracking practices to their own operations. Meeting Canada''s commitment at the Kyoto Conference for greenhouse gas emissions of six per cent below 1990 levels by the year 2008 to 2012 (in effect a 25 per cent reduction from the level anticipated in the year 2000), a very difficult task according to industry experts, is also among the high priority items on the pipeline industry''s agenda for 1998

  2. Cost analysis of teg-powered and solar-powered cathodic protection system for a-50 km long buried natural gas pipeline located in Sindh, Pakistan

    International Nuclear Information System (INIS)

    Shahid, M.; Inam, F.; Farooq, M.; Khan, F.N.

    2005-01-01

    Corrosion leaks are of significant concern to oil and gas industry and is considered to be the largest controllable factor in pipeline safety. Cathodic Protection (CP) is a well-established method for preventing corrosion of metallic materials. Electrical power is required and it is usually difficult and expensive to install conventional power lines in remote areas for readily available power supply. Oil/gas organizations make use of thermo-electric generators (TEG), which is relatively expensive in terms of running expenditures. Utilization of renewable energies is now being widely explored due to potential danger of running out of natural resources and dates back mid of 20th century [I]. However, use of solar powered CP system for oil/gas pipelines hasn't been encouraged much in Pakistan, probably due to lack of understanding. A project was undertaken for designing a solar powered CP system for a 52.4 km buried gas pipeline located at Sui/Sara gas fields (Latitude 27.5) of Tullow Pakistan (Dev.) Ltd. in Dharki, Sindh, Pakistan. After detailed analysis of soil condition, electrochemical testing, local climatic variation and cost analysis, it has been revealed that use of solar power is quite feasible for the above-mentioned pipeline section. Cost analysis and comparison have also favored this system since the maintenance cost of the solar-powered system is much less compared to TEG system. Installation cost of the solar system is about 1.57 times the cost of TEG; however, the maintenance cost is only -20% of that for TEG system. The higher installation cost has been estimated to be recoverable in less than one year of service. (author)

  3. Pipeline politics—A study of India′s proposed cross border gas projects

    International Nuclear Information System (INIS)

    Nathan, Hippu Salk Kristle; Kulkarni, Sanket Sudhir; Ahuja, Dilip R.

    2013-01-01

    India′s energy situation is characterized by increasing energy demand, high fossil fuel dependency, large import shares, and significant portion of population deprived of modern energy services. At this juncture, natural gas, being the cleanest fossil fuel with high efficiency and cost effectiveness, is expected to play an important role. India, with only 0.6% of proven world reserves, is not endowed with adequate natural gas domestically. Nevertheless, there are gas reserves in neighbouring regions which gives rise to the prospects of three cross border gas pipeline projects, namely, Iran–Pakistan–India, Turkmenistan–Afghanistan–Pakistan–India, and Myanmar–Bangladesh–India. This study is a political analysis of these pipeline projects. First, it provides justification on use of natural gas and promotion of cross border energy trade. Then it examines these three pipeline projects and analyses the security concerns, role of different actors, their positions, shifting goals, and strategies. The study develops scenarios on the basis of changing circumstances and discusses some of the pertinent issues like technology options for underground/underwater pipelines and role of private players. It also explores impact of India′s broader foreign relations and role of SAARC on the future of pipelines and proposes energy induced mutually assured protection (MAP) as a concept for regional security. -- Highlights: •We justify the need for cross border energy trade through gas pipelines for India. •We examine prospective pipeline projects—IPI, TAPI, MBI and their security issues. •We develop scenarios and analyze role of actors, their positions, and strategies. •We discuss technology and policy options for realizing these gas pipelines. •We propose energy induced mutually assured protection (MAP) for regional security

  4. Electricity demand analysis using cointegration and ARIMA modelling: A case study of Turkey

    International Nuclear Information System (INIS)

    Erdogdu, Erkan

    2007-01-01

    In the early 2000s, the Republic of Turkey has initiated an ambitious reform program in her electricity market, which requires privatization, liberalization as well as a radical restructuring. The most controversial reason behind, or justification for, recent reforms has been the rapid electricity demand growth; that is to say, the whole reform process has been a part of the endeavors to avoid the so-called 'energy crisis'. Using cointegration analysis and autoregressive integrated moving average (ARIMA) modelling, the present article focuses on this issue by both providing an electricity demand estimation and forecast, and comparing the results with official projections. The study concludes, first, that consumers' respond to price and income changes is quite limited and therefore there is a need for economic regulation in Turkish electricity market; and second, that the current official electricity demand projections highly overestimate the electricity demand, which may endanger the development of both a coherent energy policy in general and a healthy electricity market in particular

  5. An analysis of at-home demand for ice cream in the United States.

    Science.gov (United States)

    Davis, C G; Blayney, D P; Yen, S T; Cooper, J

    2009-12-01

    Ice cream has been manufactured commercially in the United States since the middle of the 19th century. Ice cream and frozen dessert products comprise an important and relatively stable component of the United States dairy industry. As with many other dairy products, ice cream is differentiated in several dimensions. A censored translog demand system model was employed to analyze purchases of 3 ice cream product categories. The objective of this study was to determine the effect that changes in retail prices and consumer income have on at-home ice cream consumption. The analysis was based on Nielsen 2005 home scan retail data and used marital status, age, race, education, female employment status, and location in the estimations of aggregate demand elasticities. Results revealed that price and consumer income were the main determinants of demand for ice cream products. Calculated own-price elasticities indicated relatively elastic responses by consumers for all categories except for compensated bulk ice cream. All expenditure elasticities were inelastic except for bulk ice cream, and most of the ice cream categories were substitutes. Ongoing efforts to examine consumer demand for these products will assist milk producers, dairy processors and manufacturers, and dairy marketers as they face changing consumer responses to food and diet issues.

  6. Heat demand mapping and district heating grid expansion analysis: Case study of Velika Gorica

    Directory of Open Access Journals (Sweden)

    Dorotić Hrvoje

    2017-01-01

    Full Text Available Highly efficient cogeneration and district heating systems have a significant potential for primary energy savings and the reduction of greenhouse gas emissions through the utilization of a waste heat and renewable energy sources. These potentials are still highly underutilized in most European countries. They also play a key role in the planning of future energy systems due to their positive impact on the increase of integration of intermittent renewable energy sources, for example wind and solar in a combination with power to heat technologies. In order to ensure optimal levels of district heating penetration into an energy system, a comprehensive analysis is necessary to determine the actual demands and the potential energy supply. Economical analysis of the grid expansion by using the GIS based mapping methods hasn’t been demonstrated so far. This paper presents a heat demand mapping methodology and the use of its output for the district heating network expansion analysis. The result are showing that more than 59% of the heat demand could be covered by the district heating in the city of Velika Gorica, which is two times more than the present share. The most important reason of the district heating's unfulfilled potential is already existing natural gas infrastructure.

  7. Heat demand mapping and district heating grid expansion analysis: Case study of Velika Gorica

    Science.gov (United States)

    Dorotić, Hrvoje; Novosel, Tomislav; Duić, Neven; Pukšec, Tomislav

    2017-10-01

    Highly efficient cogeneration and district heating systems have a significant potential for primary energy savings and the reduction of greenhouse gas emissions through the utilization of a waste heat and renewable energy sources. These potentials are still highly underutilized in most European countries. They also play a key role in the planning of future energy systems due to their positive impact on the increase of integration of intermittent renewable energy sources, for example wind and solar in a combination with power to heat technologies. In order to ensure optimal levels of district heating penetration into an energy system, a comprehensive analysis is necessary to determine the actual demands and the potential energy supply. Economical analysis of the grid expansion by using the GIS based mapping methods hasn't been demonstrated so far. This paper presents a heat demand mapping methodology and the use of its output for the district heating network expansion analysis. The result are showing that more than 59% of the heat demand could be covered by the district heating in the city of Velika Gorica, which is two times more than the present share. The most important reason of the district heating's unfulfilled potential is already existing natural gas infrastructure.

  8. ChAMP: updated methylation analysis pipeline for Illumina BeadChips.

    Science.gov (United States)

    Tian, Yuan; Morris, Tiffany J; Webster, Amy P; Yang, Zhen; Beck, Stephan; Feber, Andrew; Teschendorff, Andrew E

    2017-12-15

    The Illumina Infinium HumanMethylationEPIC BeadChip is the new platform for high-throughput DNA methylation analysis, effectively doubling the coverage compared to the older 450 K array. Here we present a significantly updated and improved version of the Bioconductor package ChAMP, which can be used to analyze EPIC and 450k data. Many enhanced functionalities have been added, including correction for cell-type heterogeneity, network analysis and a series of interactive graphical user interfaces. ChAMP is a BioC package available from https://bioconductor.org/packages/release/bioc/html/ChAMP.html. a.teschendorff@ucl.ac.uk or s.beck@ucl.ac.uk or a.feber@ucl.ac.uk. Supplementary data are available at Bioinformatics online. © The Author(s) 2017. Published by Oxford University Press.

  9. iHAP – integrated haplotype analysis pipeline for characterizing the haplotype structure of genes

    Directory of Open Access Journals (Sweden)

    Lim Yun Ping

    2006-12-01

    Full Text Available Abstract Background The advent of genotype data from large-scale efforts that catalog the genetic variants of different populations have given rise to new avenues for multifactorial disease association studies. Recent work shows that genotype data from the International HapMap Project have a high degree of transferability to the wider population. This implies that the design of genotyping studies on local populations may be facilitated through inferences drawn from information contained in HapMap populations. Results To facilitate analysis of HapMap data for characterizing the haplotype structure of genes or any chromosomal regions, we have developed an integrated web-based resource, iHAP. In addition to incorporating genotype and haplotype data from the International HapMap Project and gene information from the UCSC Genome Browser Database, iHAP also provides capabilities for inferring haplotype blocks and selecting tag SNPs that are representative of haplotype patterns. These include block partitioning algorithms, block definitions, tag SNP definitions, as well as SNPs to be "force included" as tags. Based on the parameters defined at the input stage, iHAP performs on-the-fly analysis and displays the result graphically as a webpage. To facilitate analysis, intermediate and final result files can be downloaded. Conclusion The iHAP resource, available at http://ihap.bii.a-star.edu.sg, provides a convenient yet flexible approach for the user community to analyze HapMap data and identify candidate targets for genotyping studies.

  10. PRAPI: post-transcriptional regulation analysis pipeline for Iso-Seq.

    Science.gov (United States)

    Gao, Yubang; Wang, Huiyuan; Zhang, Hangxiao; Wang, Yongsheng; Chen, Jinfeng; Gu, Lianfeng

    2018-05-01

    The single-molecule real-time (SMRT) isoform sequencing (Iso-Seq) based on Pacific Bioscience (PacBio) platform has received increasing attention for its ability to explore full-length isoforms. Thus, comprehensive tools for Iso-Seq bioinformatics analysis are extremely useful. Here, we present a one-stop solution for Iso-Seq analysis, called PRAPI to analyze alternative transcription initiation (ATI), alternative splicing (AS), alternative cleavage and polyadenylation (APA), natural antisense transcripts (NAT), and circular RNAs (circRNAs) comprehensively. PRAPI is capable of combining Iso-Seq full-length isoforms with short read data, such as RNA-Seq or polyadenylation site sequencing (PAS-seq) for differential expression analysis of NAT, AS, APA and circRNAs. Furthermore, PRAPI can annotate new genes and correct mis-annotated genes when gene annotation is available. Finally, PRAPI generates high-quality vector graphics to visualize and highlight the Iso-Seq results. The Dockerfile of PRAPI is available at http://www.bioinfor.org/tool/PRAPI. lfgu@fafu.edu.cn.

  11. Australia's changing natural gas and pipeline industry

    International Nuclear Information System (INIS)

    Kimber, M.J.

    1998-01-01

    The future is bright for continued development of Australia's natural gas pipeline infrastructure, as well as for privatization and private energy infrastructure growth. Gas demands are growing and the development of open access principles for all natural gas transmission and distribution pipelines heralds a much more market focused industry. Within the next few years gas-on-gas competition will apply to supply, pipelines, and retail marketing. No longer will operators be able to pass on high costs resulting from inefficiencies to their customers. This article describes the changing Australian gas industry, evaluates the drivers for change and looks at ways the industry is responding to new regulatory regimes and the development and use of new pipeline technology

  12. The Analysis of Task and Data Characteristic and the Collaborative Processing Method in Real-Time Visualization Pipeline of Urban 3DGIS

    Directory of Open Access Journals (Sweden)

    Dongbo Zhou

    2017-03-01

    Full Text Available Parallel processing in the real-time visualization of three-dimensional Geographic Information Systems (3DGIS has tended to concentrate on algorithm levels in recent years, and most of the existing methods employ multiple threads in a Central Processing Unit (CPU or kernel in a Graphics Processing Unit (GPU to improve efficiency in the computation of the Level of Details (LODs for three-dimensional (3D Models and in the display of Digital Elevation Models (DEMs and Digital Orthphoto Maps (DOMs. The systematic analysis of the task and data characteristics of parallelism in the real-time visualization of 3DGIS continues to fall behind the development of hardware. In this paper, the basic procedures of real-time visualization of urban 3DGIS are first reviewed, and then the real-time visualization pipeline is analyzed. Further, the pipeline is decomposed into different task stages based on the task order and the input-output dependency. Based on the analysis of task parallelism in different pipeline stages, the data parallelism characteristics in each task are summarized by studying the involved algorithms. Finally, this paper proposes a parallel co-processing mode and a collaborative strategy for real-time visualization of urban 3DGIS. It also provides a fundamental basis for developing parallel algorithms and strategies in 3DGIS.

  13. Numerical Analysis of Thermal Mixing in a Swirler-Embedded Line-Heater for Flow Assurance in Subsea Pipelines

    Directory of Open Access Journals (Sweden)

    Jang Min Park

    2015-02-01

    Full Text Available Flow assurance issue in subsea pipelines arises mainly due to hydrate plugs. We present a new line-heater for prevention of hydrate plug formation in subsea pipelines. The line heater has modular compact design where an electrical heater and a swirl generator are embedded inside the housing pipe so that the stream can be heated efficiently and homogeneously. In this paper, flow and heat transfer characteristics of the line heater are investigated numerically, with a particular emphasis on the mixing effect due to the swirl generator.

  14. North America pipeline map

    International Nuclear Information System (INIS)

    Anon.

    2005-01-01

    This map presents details of pipelines currently in place throughout North America. Fifty-nine natural gas pipelines are presented, as well as 16 oil pipelines. The map also identifies six proposed natural gas pipelines. Major cities, roads and highways are included as well as state and provincial boundaries. The National Petroleum Reserve is identified, as well as the Arctic National Wildlife Refuge. The following companies placed advertisements on the map with details of the services they provide relating to pipeline management and construction: Ferus Gas Industries Trust; Proline; SulfaTreat Direct Oxidation; and TransGas. 1 map

  15. Emergency preparedness of OSBRA Pipeline

    Energy Technology Data Exchange (ETDEWEB)

    Magalhaes, Milton P.; Torres, Carlos A.R.; Almeida, Francisco J.C. [TRANSPETRO, Rio de Janeiro, RJ (Brazil)

    2009-07-01

    This paper presents the experience of PETROBRAS Transporte S. A. - TRANSPETRO in the preparation for emergencies in the OSBRA pipeline, showing specific aspects and solutions developed. The company has a standardized approach for the emergency management, based on risk analysis studies, risk management plan and contingency plans. To cover almost 1,000 km of pipeline, the Company avails of Emergency Response Centers and Environmental Defense Center, located at strategic points. In order to achieve preparation, fire fighting training and oil leakage elimination training are provided. Additionally, simulation exercises are performed, following a schedule worked out according to specific criteria and guidelines. As a conclusion, a picture is presented of the evolution of the preparation for emergencies in the OSBRA System which bears the enormous responsibility of transporting flammable products for almost 1,000 km of pipeline, crossing 40 municipalities, 3 states and the Federal District. (author)

  16. Metrological control of the gas flow and analysis of mass conservation in Bolivia-Brasil gas pipeline; Controle metrologico da vazao de gas e analise da conservacao de massa no gasoduto Bolivia-Brazil

    Energy Technology Data Exchange (ETDEWEB)

    Palhares, Julio Cesar [TBG - Transportadora Brasileira Gasoduto Bolivia-Brasil, S.A., Rio de Janeiro, RJ (Brazil); Orlando, Alcir de Faro; Frota, Mauricio Nogueira [Pontificia Univ. Catolica do Rio de Janeiro, RJ (Brazil). Curso de Pos-graduacao em Metrologia para Qualidade Industrial

    2005-07-01

    International gas pipelines reflect a integrated commerce and impose a metrological challenge for the custody transferences that indistinctly imply in significant economic impact. This work argues the complex analysis of the mass balance and expression of uncertainties of the Gasoduto Bolivia-Brasil (3.150 Km of length, 557 Km in Bolivian territory and 2.593 Km that cross Brazil of West for East), today carrying approximately 60% from its maximum capacity (30 million of cubic meters daily), operating for the Transportadora Brasileira Gasoduto Bolivia Brasil S.A., a enterprise controlled by PETROBRAS Gas S/A (GASPETRO). The TBG measuring methods always taking care of the necessities of the customers as well as being lined up with the changes of the natural gas market. In six years of existence, the TBG came along with the legislation created for regulating agency in formation and adjusted to the establishment of the contract inspector, important landmarks of the evolution of the market. This work presents the definitions that guide the metrological subjects of the TBG, making use of efficient tools in answers for each demand and searching to satisfy its proper necessities, the necessities of its customers and the new demands of the regulating agency. (author)

  17. Demand Analysis of Logistics Information Matching Platform: A Survey from Highway Freight Market in Zhejiang Province

    Science.gov (United States)

    Chen, Daqiang; Shen, Xiahong; Tong, Bing; Zhu, Xiaoxiao; Feng, Tao

    With the increasing competition in logistics industry and promotion of lower logistics costs requirements, the construction of logistics information matching platform for highway transportation plays an important role, and the accuracy of platform design is the key to successful operation or not. Based on survey results of logistics service providers, customers and regulation authorities to access to information and in-depth information demand analysis of logistics information matching platform for highway transportation in Zhejiang province, a survey analysis for framework of logistics information matching platform for highway transportation is provided.

  18. Theoretical and simulation analysis of piezoelectric liquid resistance captor filled with pipeline

    Science.gov (United States)

    Zheng, Li; Zhigang, Yang; Junwu, Kan; Lisheng; Bo, Yan; Dan, Lu

    2018-03-01

    This paper designs a kind of Piezoelectric liquid resistance capture energy device, by using the superposition theory of the sheet deformation, the calculation model of the displacement curve of the circular piezoelectric vibrator and the power generation capacity under the concentrated load is established. The results show that the radius ratio, thickness ratio and Young’s modulus of the circular piezoelectric vibrator have greater influence on the power generation capacity. When the material of piezoelectric oscillator is determined, the best radius ratio and thickness ratio make the power generation capacity the largest. Excessive or small radius ratio and thickness ratio will reduce the generating capacity and even generate zero power. In addition, the electromechanical equivalent model is established. Equivalent analysis is made by changing the circuit impedance. The results are consistent with the theoretical simulation results, indicating that the established circuit model can truly reflect the characteristics of the theoretical model.

  19. GENE-counter: a computational pipeline for the analysis of RNA-Seq data for gene expression differences.

    Science.gov (United States)

    Cumbie, Jason S; Kimbrel, Jeffrey A; Di, Yanming; Schafer, Daniel W; Wilhelm, Larry J; Fox, Samuel E; Sullivan, Christopher M; Curzon, Aron D; Carrington, James C; Mockler, Todd C; Chang, Jeff H

    2011-01-01

    GENE-counter is a complete Perl-based computational pipeline for analyzing RNA-Sequencing (RNA-Seq) data for differential gene expression. In addition to its use in studying transcriptomes of eukaryotic model organisms, GENE-counter is applicable for prokaryotes and non-model organisms without an available genome reference sequence. For alignments, GENE-counter is configured for CASHX, Bowtie, and BWA, but an end user can use any Sequence Alignment/Map (SAM)-compliant program of preference. To analyze data for differential gene expression, GENE-counter can be run with any one of three statistics packages that are based on variations of the negative binomial distribution. The default method is a new and simple statistical test we developed based on an over-parameterized version of the negative binomial distribution. GENE-counter also includes three different methods for assessing differentially expressed features for enriched gene ontology (GO) terms. Results are transparent and data are systematically stored in a MySQL relational database to facilitate additional analyses as well as quality assessment. We used next generation sequencing to generate a small-scale RNA-Seq dataset derived from the heavily studied defense response of Arabidopsis thaliana and used GENE-counter to process the data. Collectively, the support from analysis of microarrays as well as the observed and substantial overlap in results from each of the three statistics packages demonstrates that GENE-counter is well suited for handling the unique characteristics of small sample sizes and high variability in gene counts.

  20. GENE-counter: a computational pipeline for the analysis of RNA-Seq data for gene expression differences.

    Directory of Open Access Journals (Sweden)

    Jason S Cumbie

    Full Text Available GENE-counter is a complete Perl-based computational pipeline for analyzing RNA-Sequencing (RNA-Seq data for differential gene expression. In addition to its use in studying transcriptomes of eukaryotic model organisms, GENE-counter is applicable for prokaryotes and non-model organisms without an available genome reference sequence. For alignments, GENE-counter is configured for CASHX, Bowtie, and BWA, but an end user can use any Sequence Alignment/Map (SAM-compliant program of preference. To analyze data for differential gene expression, GENE-counter can be run with any one of three statistics packages that are based on variations of the negative binomial distribution. The default method is a new and simple statistical test we developed based on an over-parameterized version of the negative binomial distribution. GENE-counter also includes three different methods for assessing differentially expressed features for enriched gene ontology (GO terms. Results are transparent and data are systematically stored in a MySQL relational database to facilitate additional analyses as well as quality assessment. We used next generation sequencing to generate a small-scale RNA-Seq dataset derived from the heavily studied defense response of Arabidopsis thaliana and used GENE-counter to process the data. Collectively, the support from analysis of microarrays as well as the observed and substantial overlap in results from each of the three statistics packages demonstrates that GENE-counter is well suited for handling the unique characteristics of small sample sizes and high variability in gene counts.

  1. Social movement heterogeneity in public policy framing: A multi-stakeholder analysis of the Keystone XL pipeline

    Science.gov (United States)

    Wesley, David T. A.

    In 2011, stakeholders with differing objectives formed an alliance to oppose the Keystone XL heavy oil pipeline. The alliance, which came to be known as "Tar Sands Action," implemented various strategies, some of which were more successful than others. Tar Sands Action was a largely heterogeneous alliance that included indigenous tribes, environmentalists, ranchers, landowners, and trade unions, making it one of the more diverse social movement organizations in history. Each of these stakeholder categories had distinct demographic structures, representing an array of racial, ethnic, educational, occupational, and political backgrounds. Participants also had differing policy objectives that included combating climate change and protecting jobs, agricultural interests, water resources, wildlife, and human health. The current dissertation examines the Tar Sands Action movement to understand how heterogeneous social movement organizations mobilize supporters, maintain alliances, and create effective frames to achieve policy objectives. A multi-stakeholder analysis of the development, evolution and communication of frames concerning the Keystone XL controversy provides insight into the role of alliances, direct action, and the news media in challenging hegemonic frames. Previous research has ignored the potential value that SMO heterogeneity provides by treating social movements as culturally homogenous. However, diversity has been shown to affect performance in business organizations. The current study demonstrates that under some circumstances, diversity can also improve policy outcomes. Moreover, policy frames are shown to be more effective in sustaining news media and public interest through a process the author calls dynamic frame sequencing (DFS). DFS refers to a process implementing different stakeholder frames at strategically opportune moments. Finally, Tar Sands Action was one of the first SMOs to rely heavily on social media to build alliances, disseminate

  2. Pipeline monitoring with unmanned aerial vehicles

    Science.gov (United States)

    Kochetkova, L. I.

    2018-05-01

    Pipeline leakage during transportation of combustible substances leads to explosion and fire thus causing death of people and destruction of production and accommodation facilities. Continuous pipeline monitoring allows identifying leaks in due time and quickly taking measures for their elimination. The paper describes the solution of identification of pipeline leakage using unmanned aerial vehicles. It is recommended to apply the spectral analysis with input RGB signal to identify pipeline damages. The application of multi-zone digital images allows defining potential spill of oil hydrocarbons as well as possible soil pollution. The method of multi-temporal digital images within the visible region makes it possible to define changes in soil morphology for its subsequent analysis. The given solution is cost efficient and reliable thus allowing reducing timing and labor resources in comparison with other methods of pipeline monitoring.

  3. A meta-analysis on the price elasticity of energy demand

    International Nuclear Information System (INIS)

    Labandeira, Xavier; Labeaga, José M.; López-Otero, Xiral

    2017-01-01

    Price elasticities of energy demand have become increasingly relevant in estimating the socio-economic and environmental effects of energy policies or other events that influence the price of energy goods. Since the 1970s, a large number of academic papers have provided both short and long-term price elasticity estimates for different countries using several models, data and estimation techniques. Yet the literature offers a rather wide range of estimates for the price elasticities of demand for energy. This paper quantitatively summarizes the recent, but sizeable, empirical evidence to facilitate a sounder economic assessment of (in some cases policy-related) energy price changes. It uses meta-analysis to identify the main factors affecting short and long term elasticity results for energy, in general, as well as for specific products, i.e., electricity, natural gas, gasoline, diesel and heating oil. - Highlights: • An updated and wider meta-analysis on price elasticities of energy demand. • Energy goods are shown to be price inelastic both in the short and long-term. • Results are relevant for a proper design and implementation of energy policies. • Our results refer to energy, as a whole, and specific energy goods.

  4. Electricity demand by the commercial sector in Kuwait: an econometric analysis

    International Nuclear Information System (INIS)

    Eltony, M.N.; Hajeeh, M.

    1999-01-01

    This paper models and estimates electricity demand by the Kuwaiti commercial sector, using an error correction model. It also simulates the estimated model under three scenarios and presents an analysis of the results. The empirical results indicate that short- and long-run electricity consumption and the level of economic activity are interrelated. The forecasts show that electricity consumption varies directly with economic growth. They also suggest that an increase of 100 per cent in nominal electricity prices will lead to a reduction in commercial sector electricity demand of 45 per cent by the year 2010. The simulation of the model under the different scenarios demonstrates that the potential for energy conservation exists in the commercial sector

  5. Price and income elasticities of crude oil import demand in South Africa. A cointegration analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ziramba, Emmanuel [Department of Economics, University of South Africa, P.O Box 392, Unisa 0003 (South Africa)

    2010-12-15

    This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports. (author)

  6. Job Demand and Job Resources related to the turnover intention of public health nurses: An analysis using a Job Demands-Resources model.

    Science.gov (United States)

    Iguchi, Aya

    2016-01-01

    Objectives The purpose of this study was to investigate the job demands and job resources of public health nurses based on the Job Demands-Resources (JD-R) model, and to build a model that can estimate turnover intention based on job demands and job resources.Method By adding 12 items to the existing questionnaire, the author created a questionnaire consisting of 10 factors and 167 items, and used statistical analysis to examine job demands and job resources in relation to turnover intention.Results Out of 2,668 questionnaires sent, 1993 (72.5%) were returned. Considering sex-based differences in occupational stress, I analyzed women's answers in 1766 (66.2%) mails among the 1798 valid responses. The average age of respondents was 41.0±9.8 years, and the mean service duration was 17.0±10.0 years. For public health nurses, there was a turnover intention of 9.2%. The "job demands" section consisted of 29 items and 10 factors, while the "job resources" section consisted of 54 items and 22 factors. The result of examining the structure of job demands and job resources, leading to turnover intention was supported by the JD-R model. Turnover intention was strong and the Mental Component Summary (MCS) is low in those who had many job demands and few job resources (experiencing 'burn-out'). Enhancement of work engagement and turnover intention was weak in those who had many job resources. This explained approximately 60% of the dispersion to "burn-out", and approximately 40% to "work engagement", with four factors: work suitability, work significance, positive work self-balance, and growth opportunity of job resources.Conclusion This study revealed that turnover intention is strong in those who are burned out because of many job demands. Enhancement of work engagement and turnover intention is weak in those with many job resources. This suggests that suitable staffing and organized efforts to raise awareness of job significance are effective in reducing

  7. A Big Data Analytics Pipeline for the Analysis of TESS Full Frame Images

    Science.gov (United States)

    Wampler-Doty, Matthew; Pierce Doty, John

    2015-12-01

    We present a novel method for producing a catalogue of extra-solar planets and transients using the full frame image data from TESS. Our method involves (1) creating a fast Monte Carlo simulation of the TESS science instruments, (2) using the simulation to create a labeled dataset consisting of exoplanets with various orbital durations as well as transients (such as tidal disruption events), (3) using supervised machine learning to find optimal matched filters, Support Vector Machines (SVMs) and statistical classifiers (i.e. naïve Bayes and Markov Random Fields) to detect astronomical objects of interest and (4) “Big Data” analysis to produce a catalogue based on the TESS data. We will apply the resulting methods to all stars in the full frame images. We hope that by providing libraries that conform to industry standards of Free Open Source Software we may invite researchers from the astronomical community as well as the wider data-analytics community to contribute to our effort.

  8. Analysis of CO2 Separation from Flue Gas, Pipeline Transportation, and Sequestration in Coal

    Energy Technology Data Exchange (ETDEWEB)

    Eric P. Robertson

    2007-09-01

    This report was written to satisfy a milestone of the Enhanced Coal Bed Methane Recovery and CO2 Sequestration task of the Big Sky Carbon Sequestration project. The report begins to assess the costs associated with separating the CO2 from flue gas and then injecting it into an unminable coal seam. The technical challenges and costs associated with CO2 separation from flue gas and transportation of the separated CO2 from the point source to an appropriate sequestration target was analyzed. The report includes the selection of a specific coal-fired power plant for the application of CO2 separation technology. An appropriate CO2 separation technology was identified from existing commercial technologies. The report also includes a process design for the chosen technology tailored to the selected power plant that used to obtain accurate costs of separating the CO2 from the flue gas. In addition, an analysis of the costs for compression and transportation of the CO2 from the point-source to an appropriate coal bed sequestration site was included in the report.

  9. FUZZY INFERENCE BASED LEAK ESTIMATION IN WATER PIPELINES SYSTEM

    OpenAIRE

    N. Lavanya; G. Anand; S. Srinivasan

    2015-01-01

    Pipeline networks are the most widely used mode for transporting fluids and gases around the world. Leakage in this pipeline causes harmful effects when the flowing fluid/gas is hazardous. Hence the detection of leak becomes essential to avoid/minimize such undesirable effects. This paper presents the leak detection by spectral analysis methods in a laboratory pipeline system. Transient in the pressure signal in the pipeline is created by opening and closing the exit valve. These pressure var...

  10. An analysis of key issues in the clean development mechanism based on the UNEP Risoe clean development mechanism pipeline

    DEFF Research Database (Denmark)

    Fenhann, Jørgen Villy; Staun, Frederik

    2010-01-01

    is documented. The CDM pipeline includes calculation of the investment in the CDM projects. The total investment in the 2171 registered CDM projects is approximately US$60 billion. It is shown that programmatic CDM gives hope for an increased share of projects in Africa, since 16% of the programmatic CDM...

  11. The role of energy-service demand reduction in global climate change mitigation: Combining energy modelling and decomposition analysis

    International Nuclear Information System (INIS)

    Kesicki, Fabian; Anandarajah, Gabrial

    2011-01-01

    In order to reduce energy-related CO 2 emissions different options have been considered: energy efficiency improvements, structural changes to low carbon or zero carbon fuel/technologies, carbon sequestration, and reduction in energy-service demands (useful energy). While efficiency and technology options have been extensively studied within the context of climate change mitigation, this paper addresses the possible role of price-related energy-service demand reduction. For this analysis, the elastic demand version of the TIAM-UCL global energy system model is used in combination with decomposition analysis. The results of the CO 2 emission decomposition indicate that a reduction in energy-service demand can play a limited role, contributing around 5% to global emission reduction in the 21st century. A look at the sectoral level reveals that the demand reduction can play a greater role in selected sectors like transport contributing around 16% at a global level. The societal welfare loss is found to be high when the price elasticity of demand is low. - Highlights: → A reduction in global energy-service demand can contribute around 5% to global emission reduction in the 21st century. → The role of demand is a lot higher in transport than in the residential sector. → Contribution of demand reduction is higher in early periods of the 21st century. → Societal welfare loss is found to be high when the price elasticity of demand is low. → Regional shares in residual emissions vary under different elasticity scenarios.

  12. The role of energy-service demand reduction in global climate change mitigation: Combining energy modelling and decomposition analysis

    Energy Technology Data Exchange (ETDEWEB)

    Kesicki, Fabian, E-mail: fabian.kesicki.09@ucl.ac.uk [UCL Energy Institute, University College London, 14 Upper Woburn Place, London, WC1H 0NN (United Kingdom); Anandarajah, Gabrial [UCL Energy Institute, University College London, 14 Upper Woburn Place, London, WC1H 0NN (United Kingdom)

    2011-11-15

    In order to reduce energy-related CO{sub 2} emissions different options have been considered: energy efficiency improvements, structural changes to low carbon or zero carbon fuel/technologies, carbon sequestration, and reduction in energy-service demands (useful energy). While efficiency and technology options have been extensively studied within the context of climate change mitigation, this paper addresses the possible role of price-related energy-service demand reduction. For this analysis, the elastic demand version of the TIAM-UCL global energy system model is used in combination with decomposition analysis. The results of the CO{sub 2} emission decomposition indicate that a reduction in energy-service demand can play a limited role, contributing around 5% to global emission reduction in the 21st century. A look at the sectoral level reveals that the demand reduction can play a greater role in selected sectors like transport contributing around 16% at a global level. The societal welfare loss is found to be high when the price elasticity of demand is low. - Highlights: > A reduction in global energy-service demand can contribute around 5% to global emission reduction in the 21st century. > The role of demand is a lot higher in transport than in the residential sector. > Contribution of demand reduction is higher in early periods of the 21st century. > Societal welfare loss is found to be high when the price elasticity of demand is low. > Regional shares in residual emissions vary under different elasticity scenarios.

  13. Storage analysis of steel pipes used in pipelines; Analise do sistema de estocagem de tubos de aco para dutos de transporte

    Energy Technology Data Exchange (ETDEWEB)

    Provenzano, Carlos E.C.; Silva, Breno S.; Fernandes, Lincoln F.; Santos Junior, Sergio J.F. [PETROBRAS S.A., Rio de Janeiro, RJ (Brazil); Louzada, Carlos H.C.M.

    2005-07-01

    New pipelines, request the use of great amount of tubes stored during its construction. Therefore, the cost generated by the storage areas motivates the reconsideration of the stockpiling system. Large areas demand high costs related to its acquisition or rent. The use of small areas can reduce the immediate cost with rent, but also can increase the total cost due to damage of the tubes or increase the risk at the storage conditions. The same considerations could be made for inadequate use of support materials on the stockpiling piles, regarding the quality or amount used. This work presents the modelling of the pyramidal stockpiling system of steel tubes and evaluations to a better configuration. (author)

  14. The (in)stability of money demand in the Euro Area: Lessons from a cross-country analysis

    OpenAIRE

    Nautz, Dieter; Rondorf, Ulrike

    2010-01-01

    The instability of standard money demand functions has undermined the role of monetary aggregates for monetary policy analysis in the euro area. This paper uses country-specific monetary aggregates to shed more light on the economics behind the instability of euro area money demand. Our results obtained from panel estimation indicate that the observed instability of standard money demand functions could be explained by omitted variables like e.g. technological progress that are important for ...

  15. Spatial analysis of electricity demand patterns in Greece: Application of a GIS-based methodological framework

    Science.gov (United States)

    Tyralis, Hristos; Mamassis, Nikos; Photis, Yorgos N.

    2016-04-01

    We investigate various uses of electricity demand in Greece (agricultural, commercial, domestic, industrial use as well as use for public and municipal authorities and street lightning) and we examine their relation with variables such as population, total area, population density and the Gross Domestic Product. The analysis is performed on data which span from 2008 to 2012 and have annual temporal resolution and spatial resolution down to the level of prefecture. We both visualize the results of the analysis and we perform cluster and outlier analysis using the Anselin local Moran's I statistic as well as hot spot analysis using the Getis-Ord Gi* statistic. The definition of the spatial patterns and relationships of the aforementioned variables in a GIS environment provides meaningful insight and better understanding of the regional development model in Greece and justifies the basis for an energy demand forecasting methodology. Acknowledgement: This research has been partly financed by the European Union (European Social Fund - ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic Reference Framework (NSRF) - Research Funding Program: ARISTEIA II: Reinforcement of the interdisciplinary and/ or inter-institutional research and innovation (CRESSENDO project; grant number 5145).

  16. Pipelines 'R' us

    International Nuclear Information System (INIS)

    Thomas, P.

    1997-01-01

    The geopolitical background to the export of oil and gas from Kazakhstan by pipeline is explored with particular reference to the sensitivities of the USA. There are now a number of pipeline proposals which would enable Kazakhstan to get its hydrocarbons to world markets. The construction of two of these formed part of a major oil deal signed recently with China in the face of stiff competition from major US companies. The most convenient and cost effective route, connecting up with Iran's existing pipeline network to the Gulf, is unlikely to be developed given continuing US sanctions against Iran. Equally unlikely seems to be the Turkmenistan to Pakistan pipeline in the light of the political volatility of Afghanistan. US companies continue to face limits on export capacity via the existing Russian pipelines from Kazakhstan. A temporary solution could be to carry some oil in the existing pipeline from Azerbaijan to Georgia which has been upgraded and is due to become operational soon, and later in a second proposed pipeline on this route. The Caspian Pipeline Consortium, consisting of three countries and eleven international companies, is building a 1500 km pipeline from the Tergiz field to Novorossiysk on the Black Sea with a view to completion in 2000. An undersea pipeline crossing the Caspian from Azerbaijan is being promoted by Turkey. There is an international perception that within the next five years Kazakhstan could be in a position to export its oil via as many as half a dozen different routes. (UK)

  17. Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis

    Energy Technology Data Exchange (ETDEWEB)

    Ziramba, Emmanuel, E-mail: zirame@unisa.ac.z [Department of Economics, University of South Africa, P.O Box 392, Unisa 0003 (South Africa)

    2010-12-15

    This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports. - Research Highlights: {yields}The paper examines the demand for imported crude oil in South Africa over the period 1980-2006. {yields} The estimated long-run price and income elasticities are -0.147 and 0.429, respectively. {yields} There is evidence of unidirectional long-run causality running from real GDP to crude oil imports.

  18. Physiological demands of women's rugby union: time-motion analysis and heart rate response.

    Science.gov (United States)

    Virr, Jody Lynn; Game, Alex; Bell, Gordon John; Syrotuik, Daniel

    2014-01-01

    The aim of this study was to determine the physical demands of women's rugby union match play using time-motion analysis and heart rate (HR) response. Thirty-eight premier club level female rugby players, ages 18-34 years were videotaped and HRs monitored for a full match. Performances were coded into 12 different movement categories: 5 speeds of locomotion (standing, walking, jogging, striding, sprinting), 4 forms of intensive non-running exertion (ruck/maul/tackle, pack down, scrum, lift) and 3 discrete activities (kick, jump, open field tackle). The main results revealed that backs spend significantly more time sprinting and walking whereas forwards spend more time in intensive non-running exertion and jogging. Forwards also had a significantly higher total work frequency compared to the backs, but a higher total rest frequency compared to the backs. In terms of HR responses, forwards displayed higher mean HRs throughout the match and more time above 80% of their maximum HR than backs. In summary, women's rugby union is characterised by intermittent bursts of high-intensity activity, where forwards and backs have similar anaerobic energy demands, but different specific match demands.

  19. Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis

    International Nuclear Information System (INIS)

    Ziramba, Emmanuel

    2010-01-01

    This paper examines the demand for imported crude oil in South Africa as a function of real income and the price of crude oil over the period 1980-2006. We carried out the Johansen co integration multivariate analysis to determine the long-run income and price elasticities. A unique long-run cointegration relationship exists between crude oil imports and the explanatory variables. The short-run dynamics are estimated by specifying a general error correction model. The estimated long-run price and income elasticities of -0.147 and 0.429 suggest that import demand for crude oil is price and income inelastic. There is also evidence of unidirectional long-run causality running from real GDP to crude oil imports. - Research Highlights: →The paper examines the demand for imported crude oil in South Africa over the period 1980-2006. → The estimated long-run price and income elasticities are -0.147 and 0.429, respectively. → There is evidence of unidirectional long-run causality running from real GDP to crude oil imports.

  20. How do household characteristics affect appliance usage? Application of conditional demand analysis to Japanese household data

    International Nuclear Information System (INIS)

    Matsumoto, Shigeru

    2016-01-01

    Although both appliance ownership and usage patterns determine residential electricity consumption, it is less known how households actually use their appliances. In this study, we conduct conditional demand analyses to break down total household electricity consumption into a set of demand functions for electricity usage, across 12 appliance categories. We then examine how the socioeconomic characteristics of the households explain their appliance usage. Analysis of micro-level data from the Nation Survey of Family and Expenditure in Japan reveals that the family and income structure of households affect appliance usage. Specifically, we find that the presence of teenagers increases both air conditioner and dishwasher use, labor income and nonlabor income affect microwave usage in different ways, air conditioner usage decreases as the wife's income increases, and microwave usage decreases as the husband's income increases. Furthermore, we find that households use more electricity with new personal computers than old ones; this implies that the replacement of old personal computers increases electricity consumption. - Highlights: •We conduct conditional demand analyses to study household appliance usage. •Micro-level data from the National Survey of Family and Expenditure in Japan are analyzed. •We show how household characteristics determine appliance usage. •High-income households use specific appliances less intensively than low-income households. •The replacement of old TVs and PCs lead to greater electricity consumption.

  1. Demand-driven water withdrawals by Chinese industry: a multi-regional input-output analysis

    Science.gov (United States)

    Zhang, Bo; Chen, Z. M.; Zeng, L.; Qiao, H.; Chen, B.

    2016-03-01

    With ever increasing water demands and the continuous intensification of water scarcity arising from China's industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water withdrawals by Chinese industry and investigates demand-driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW), and Construction has the largest embodied industrial water use (EWU). Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water-saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China's water policies.

  2. Empirical analysis of the spot market implications of price-responsive demand

    International Nuclear Information System (INIS)

    Siddiqui, A.S.

    2006-01-01

    Although electricity is theoretically an inelastic good in the short term, the steep slope of the supply stack implies that even modest response by demand could translate into reduced capacity requirements and significant price decreases. This article examined the effect of price-responsive demand strategies in an actual deregulated electricity industry. Auction data from the New York Independent System Operator (NYISO) day-ahead electricity market were used to form supply stacks for various zones. A simple linear demand function was used to determine the effect of price responsiveness on equilibrium spot market price and consumption. The aim was to quantify the benefits from the pricing protocol and to determine whether modest levels of price elasticity can significantly lower prices and consumption. Market-clearing prices and quantities were estimated using various supply curves in order to quantify the responsiveness necessary to achieve given price reductions. Price response was induced in the demand curve by varying its slope. Estimates were then used to estimate the average level of slope needed to reduce the average market-clearing price during the year by a certain percentage. Results showed that an average slope of -50.04 was necessary for prices to be reduced by 25 per cent. Results also showed that necessary price responses can be ascertained for any desired reduction in the market-clearing price or quantity. Although price responsiveness unambiguously reduces the spot market price and quantity, its effect on the forward price is not yet clear. It was concluded that a separate analysis of peak hours may reveal the effectiveness of enhanced price response. 8 refs., 1 tab., 8 figs

  3. Increase of ecological safety of the pipeline

    International Nuclear Information System (INIS)

    Dr Movsumov, Sh.N.; Prof Aliyev, F.G.

    2005-01-01

    points on a line on various types of risks (ecological, economic, social and cultural - architectural); The edition of methodical benefits for carrying out of seminars and distribution of the information through the electronic bulletin, thematic releases and magazines. For carrying out of public ecological monitoring, it is necessary to create public laboratories along a line of the pipeline which would allow leading the analysis of components of the surrounding natural environment. For the personnel of laboratory alongside with carrying out of trainings - seminars, instructions should be prepared, methodical materials, other help data and are created bank of the reference data. For carrying out of public ecological monitoring performed the following works: The organization of the laboratory analysis of the components of a reservoir, traversable pipeline; Revealing observance of zone security norm of the pipeline; The equipment most ecologically dangerous sites of the pipeline in capacities for gathering oil. The purpose of the public plan to reaction to floods of oil is development of instructions for liquidation of consequences of flood and carrying out of necessary actions for minimization of influences on an environment. The public plan of liquidation of consequences of flood should be determined: Coordinating public organization, its functions and duty; a policy of decision-making at liquidation of consequences of flood; Adjustments of communication between public organizations for reception and transfer of the information on failure; Areas of priority protection which should be immediately cleared of oil waste; Export and utilization of the oil waste products collected in area of flood of oil; the monitoring system and monitoring of an environment (air, water and ground) after liquidation of consequences of flood. In conformity of the public plan, carrying out of meetings with the public, for acquaintance and an explanation of the problems, put before the public is

  4. Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.

    Directory of Open Access Journals (Sweden)

    Jennifer J Barb

    Full Text Available There is much speculation on which hypervariable region provides the highest bacterial specificity in 16S rRNA sequencing. The optimum solution to prevent bias and to obtain a comprehensive view of complex bacterial communities would be to sequence the entire 16S rRNA gene; however, this is not possible with second generation standard library design and short-read next-generation sequencing technology.This paper examines a new process using seven hypervariable or V regions of the 16S rRNA (six amplicons: V2, V3, V4, V6-7, V8, and V9 processed simultaneously on the Ion Torrent Personal Genome Machine (Life Technologies, Grand Island, NY. Four mock samples were amplified using the 16S Ion Metagenomics Kit™ (Life Technologies and their sequencing data is subjected to a novel analytical pipeline.Results are presented at family and genus level. The Kullback-Leibler divergence (DKL, a measure of the departure of the computed from the nominal bacterial distribution in the mock samples, was used to infer which region performed best at the family and genus levels. Three different hypervariable regions, V2, V4, and V6-7, produced the lowest divergence compared to the known mock sample. The V9 region gave the highest (worst average DKL while the V4 gave the lowest (best average DKL. In addition to having a high DKL, the V9 region in both the forward and reverse directions performed the worst finding only 17% and 53% of the known family level and 12% and 47% of the genus level bacteria, while results from the forward and reverse V4 region identified all 17 family level bacteria.The results of our analysis have shown that our sequencing methods using 6 hypervariable regions of the 16S rRNA and subsequent analysis is valid. This method also allowed for the assessment of how well each of the variable regions might perform simultaneously. Our findings will provide the basis for future work intended to assess microbial abundance at different time points

  5. Pipeline modeling and assessment in unstable slopes

    Energy Technology Data Exchange (ETDEWEB)

    Caceres, Carlos Nieves [Oleoducto Central S.A., Bogota, Cundinamarca (Colombia); Ordonez, Mauricio Pereira [SOLSIN S.A.S, Bogota, Cundinamarca (Colombia)

    2010-07-01

    The OCENSA pipeline system is vulnerable to geotechnical problems such as faults, landslides or creeping slopes, which are well-known in the Andes Mountains and tropical countries like Colombia. This paper proposes a methodology to evaluate the pipe behaviour during the soil displacements of slow landslides. Three different cases of analysis are examined, according to site characteristics. The process starts with a simplified analytical model and develops into 3D finite element numerical simulations applied to the on-site geometry of soil and pipe. Case 1 should be used when the unstable site is subject to landslides impacting significant lengths of pipeline, pipeline is straight, and landslide is simple from the geotechnical perspective. Case 2 should be used when pipeline is straight and landslide is complex (creeping slopes and non-conventional stabilization solutions). Case 3 should be used if the pipeline presents vertical or horizontal bends.

  6. A Geometric Capacity-Demand Analysis of Maternal Levator Muscle Stretch Required for Vaginal Delivery.

    Science.gov (United States)

    Tracy, Paige V; DeLancey, John O; Ashton-Miller, James A

    2016-02-01

    Because levator ani (LA) muscle injuries occur in approximately 13% of all vaginal births, insights are needed to better prevent them. In Part I of this paper, we conducted an analysis of the bony and soft tissue factors contributing to the geometric "capacity" of the maternal pelvis and pelvic floor to deliver a fetal head without incurring stretch injury of the maternal soft tissue. In Part II, we quantified the range in demand, represented by the variation in fetal head size and shape, placed on the maternal pelvic floor. In Part III, we analyzed the capacity-to-demand geometric ratio, g, in order to determine whether a mother can deliver a head of given size without stretch injury. The results of a Part I sensitivity analysis showed that initial soft tissue loop length (SL) had the greatest effect on maternal capacity, followed by the length of the soft tissue loop above the inferior pubic rami at ultimate crowning, then subpubic arch angle (SPAA) and head size, and finally the levator origin separation distance. We found the more caudal origin of the puborectal portion of the levator muscle helps to protect it from the stretch injuries commonly observed in the pubovisceral portion. Part II fetal head molding index (MI) and fetal head size revealed fetal head circumference values ranging from 253 to 351 mm, which would increase up to 11 mm upon face presentation. The Part III capacity-demand analysis of g revealed that, based on geometry alone, the 10th percentile maternal capacity predicted injury for all head sizes, the 25th percentile maternal capacity could deliver half of all head sizes, while the 50th percentile maternal capacity could deliver a head of any size without injury. If ultrasound imaging could be operationalized to make measurements of ratio g, it might be used to usefully inform women on their level of risk for levator injury during vaginal birth.

  7. Generating pipeline networks for corrosion assessment

    Energy Technology Data Exchange (ETDEWEB)

    Ferguson, J. [Cimarron Engineering Ltd., Calgary, AB (Canada)

    2008-07-01

    Production characteristics and gas-fluid compositions of fluids must be known in order to assess pipelines for internal corrosion risk. In this study, a gathering system pipeline network was built in order to determine corrosion risk for gathering system pipelines. Connections were established between feeder and collector lines in order measure upstream production and the weighted average of the upstream composition of each pipeline in the system. A Norsok M-506 carbon dioxide (CO{sub 2}) corrosion rate model was used to calculate corrosion rates. A spreadsheet was then used to tabulate the obtained data. The analysis used straight lines drawn between the 'from' and 'to' legal sub-division (LSD) endpoints in order to represent pipelines on an Alberta township system (ATS) and identify connections between pipelines. Well connections were established based on matching surface hole location and 'from' LSDs. Well production, composition, pressure, and temperature data were sourced and recorded as well attributes. XSL hierarchical computations were used to determine the production and composition properties of the commingled inflows. It was concluded that the corrosion assessment process can identify locations within the pipeline network where potential deadlegs branched off from flowing pipelines. 4 refs., 2 tabs., 2 figs.

  8. MODELING OF THE PROCESS OF FORMATION OF INDIVIDUAL MARKETING DEMAND: A COMPARATIVE ANALYSIS AND GENERALIZATION OF THE PRECEDING CORRESPONDING RESULTS

    Directory of Open Access Journals (Sweden)

    Anatoly V. Korotkov

    2015-01-01

    Full Text Available The article focuses on the modeling of series-STI formation of individual market demand. The analysis, and then sum-of three well-known inmarketing models, which exhaust the currentlyknown approaches is revised. The article shows that all three models have a signifi cant difference in the number of stages and terminology. The obtained results are the basis for the developmentof the author’s model of gradual development of demand - «need - desire - requirement -demand» or abbreviated as «model NDRD» and can be considered as a contribution to the methodology of study a demand.

  9. Analysis of demand curves in the stock and financial markets of monopolistic competition

    Directory of Open Access Journals (Sweden)

    Mikhail I. Geras’kin

    2016-01-01

    Full Text Available Objective to identify patterns of monopolistic competition as applied to markets of household appliances consumer loans and insurance products in Russia. Methods econometric modeling trending regression analysis analysis of statistical significance. Results the statistical analysis of trends in the market of household appliances insurance and credit markets has been carried out the statistical significance and adequacy of the models has been assessed adequate and accurate regression models of price trends of household appliances and electronics have been developed as well as of the interest rates of consumer loans and insurance rates for loan debts. Scientific novelty the actual patterns of decreasing demand curves for household appliances consumer loans and insurance products were found for the relevant markets in the Russian Federation in 2009ndash2014. Practical significance the model can be used for solving problems of optimal planning strategies of retailers insurers and banks. nbsp

  10. Decontamination device for pipeline

    International Nuclear Information System (INIS)

    Harashina, Heihachi.

    1994-01-01

    Pipelines to be decontaminated are parts of pipelines contaminated with radioactive materials, and they are connected to a fluid transfer means (for example, a bladeless pump) and a ball collector by way of a connector. The fluid of a mixture of chemical decontaminating liquid and spheres is sent into pipelines to be decontaminated. The spheres are, for example, heat resistant porous hard or soft rubber spheres. The fluid discharged from the pipelines to be decontaminated are circulated by way of bypassing means. The inner surface of the pipelines is decontaminated by the circulation of the fluid. When the bypass means is closed, the fluid discharged from the pipelines to be decontaminated is sent to the ball collector, and the spheres are captured by a hopper. Further, the liquid is sent to the filtrating means to filter the chemical contaminating liquid, and sludges contained in the liquid are captured. (I.N.)

  11. Overview of slurry pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Gandhi, R L

    1982-01-01

    Slurry pipelines have proven to be a technically feasible, environmentally attractive and economic method of transporting finely divided particles over long distances. A pipeline system normally consists of preparation, pipeline and utilization facilities and requires optimization of all three components taken together. A considerable amount of research work has been done to develop hydraulic design of a slurry pipeline. Equipment selection and estimation of corrosion-erosion are considered to be as important as the hydraulic design. Future applications are expected to be for the large-scale transport of coal and for the exploitation of remotely located mineral deposits such as iron ore and copper. Application of slurry pipelines for the exploitation of remotely located mineral deposits is illustrated by the Kudremukh iron concentrate slurry pipeline in India.

  12. Analysis of GRI North American Regional Gas Supply-Demand Model

    International Nuclear Information System (INIS)

    Nesbitt, D.M.; Singh, J.; Pine, G.D.; Kline, D.; Barron, M.; Cheung, P.D.

    1989-01-01

    This paper summarizes the results from the GRI North American Regional Gas Supply-Demand Model using the four scenarios defined for the Energy Modeling Forum Number 9 (EMF-9) described in EMF-9 Working Paper 9.4 (1987). The analysis is designed both to showcase the GRI North American Regional model as well as to infer meaningful results about the North American natural gas system. The focus of the analysis is not R ampersand D per se; R ampersand D analysis using the model is conducted regularly by GRI and described elsewhere. Rather, the objective is to analyze some of the major uncertainties in the North American gas market, uncertainties that potentially affect all players including GRI. In particular, the authors seek to quantify the overall economic environment in which production, transmission, distribution, consumption, and R ampersand D decisions will be made and how different that overall environment might be under alternative assumptions. An attendant objective of this analysis has been to enlist economists from a range of organizations (producers, regulators, GRI, and consultants) to carefully scrutinize the GRI North American Regional model and results. In particular, the coauthors were assembled from diverse organizations to review and evaluate model outputs, applying their particular experience and perspective. The four EMF-9 scenarios upon which this paper is based are described in detail later in this document. Briefly, scenario one represents a world with a surfeit of gas and a relatively high oil price projection; scenario two considers a lower oil price forecast; scenario three assumes a pessimistic outlook for the gas resource base with the same oil prices as scenario one; and scenario four examines a higher level of demand for gas in the North American gas market. An important objective of this analysis is to illustrate the predictive power of multi-scenario comparisons (as contrasted with detailed analysis of any individual scenario)

  13. World pipeline work set for rapid growth

    International Nuclear Information System (INIS)

    Anon.

    1992-01-01

    This paper reports on international pipeline construction which has entered a fast-growth period, accelerated by the new political and economic realities around the world and increasing demand for natural gas, crude oil and refined petroleum products. Many projects are under way or in planning for completion in the mid- to late 1990s in Europe, South America, Asia and the Middle East. Pipeline And Gas Journal's projection calls for construction or other work on 30,700 miles of new natural gas, crude oil and refined products pipelines in the 1992-93 period outside Canada and the U.S. These projects will cost an estimated $30 billion-plus. Natural gas pipelines will comprise most of the mileage, accounting for almost 23,000 miles at an estimated cost of $26.3 billion. Products pipelines, planned or under construction, will add another 5,800 miles at a cost of $2.8 billion. Crude oil pipelines, at a minimum, will total 1,900 new miles at a cost of slightly under $1 billion

  14. Polar bear encephalitis: establishment of a comprehensive next-generation pathogen analysis pipeline for captive and free-living wildlife.

    Science.gov (United States)

    Szentiks, C A; Tsangaras, K; Abendroth, B; Scheuch, M; Stenglein, M D; Wohlsein, P; Heeger, F; Höveler, R; Chen, W; Sun, W; Damiani, A; Nikolin, V; Gruber, A D; Grobbel, M; Kalthoff, D; Höper, D; Czirják, G Á; Derisi, J; Mazzoni, C J; Schüle, A; Aue, A; East, M L; Hofer, H; Beer, M; Osterrieder, N; Greenwood, A D

    2014-05-01

    This report describes three possibly related incidences of encephalitis, two of them lethal, in captive polar bears (Ursus maritimus). Standard diagnostic methods failed to identify pathogens in any of these cases. A comprehensive, three-stage diagnostic 'pipeline' employing both standard serological methods and new DNA microarray and next generation sequencing-based diagnostics was developed, in part as a consequence of this initial failure. This pipeline approach illustrates the strengths, weaknesses and limitations of these tools in determining pathogen caused deaths in non-model organisms such as wildlife species and why the use of a limited number of diagnostic tools may fail to uncover important wildlife pathogens. Copyright © 2013 Elsevier Ltd. All rights reserved.

  15. Final Report For The Erosion And Corrosion Analysis Of Waste Transfer Primary Pipeline Sections From 241-SY Tank Farm

    International Nuclear Information System (INIS)

    Page, J. S.; Wyrwas, R. B.; Cooke, G. A.

    2012-01-01

    Three sections of primary transfer pipeline removed from the 241-SY Tank Farm in Hanford's 200 West area, labeled as SN-285, SN-286, and SN-278, were analyzed for the presence and amount of corrosion and erosion on the inside surface of the transfer pipe. All three sections of pipe, ranging in length between 6 and 8 in., were received at the 222-S Laboratory still in the pipe-in-pipe assembly. The annular spaces were filled with urethane foam injected into the pipes for as low as reasonably achievable (ALARA) purposes. The 3-in. primary transfer pipes were first separated from the outer encasement, 6-in. pipes. The pipes were cut into small sections, or coupons, based upon the results of a non-destructive pipe wall thickness measurement which used an ultrasonic transducer. Following removal of the foam, the coupons were subjected to a series of analytical methods utilizing both optical microscopy and scanning electron microscopy to obtain erosion and corrosion information. The ultrasonic transducer analysis of the SN-285 primary pipe did not show any thinned locations in the pipe wall which were outside the expected range for the 3-in. schedule 40 pipe of 216 mils. A coupon was cut from the thinnest area on the pipe, and analysis of the inside surface, which was in contact with the tank waste, revealed a continuous layer of corrosion ∼ 100 11m (4 mils) thick under a semi-continuous layer of tank waste residue ∼ 20 11m (1 mil) thick. This residue layer was composed of an amorphous phase rich in chromium, magnesium, calcium, and chlorine. Small pits were detected throughout the inside pipe surface with depths up to ∼ 50 11m (2 mils). Similarly, the SN-286 primary pipe did not show, by the ultrasonic transducer measurements, any thinned locations in the pipe wall which were outside the expected range for this pipe. Analysis of the coupon cut from the pipe section showed the presence of a tank waste layer containing sodium aluminate and phases rich in iron

  16. The bachelor's to Ph.D. STEM pipeline no longer leaks more women than men: a 30-year analysis.

    Science.gov (United States)

    Miller, David I; Wai, Jonathan

    2015-01-01

    For decades, research and public discourse about gender and science have often assumed that women are more likely than men to "leak" from the science pipeline at multiple points after entering college. We used retrospective longitudinal methods to investigate how accurately this "leaky pipeline" metaphor has described the bachelor's to Ph.D. transition in science, technology, engineering, and mathematics (STEM) fields in the U.S. since the 1970s. Among STEM bachelor's degree earners in the 1970s and 1980s, women were less likely than men to later earn a STEM Ph.D. However, this gender difference closed in the 1990s. Qualitatively similar trends were found across STEM disciplines. The leaky pipeline metaphor therefore partially explains historical gender differences in the U.S., but no longer describes current gender differences in the bachelor's to Ph.D. transition in STEM. The results help constrain theories about women's underrepresentation in STEM. Overall, these results point to the need to understand gender differences at the bachelor's level and below to understand women's representation in STEM at the Ph.D. level and above. Consistent with trends at the bachelor's level, women's representation at the Ph.D. level has been recently declining for the first time in over 40 years.

  17. Electricity Transmission, Pipelines, and National Trails: An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, Alaska, and Hawaii

    Energy Technology Data Exchange (ETDEWEB)

    Kuiper, James A. [Argonne National Lab. (ANL), Argonne, IL (United States); Krummel, John R. [Argonne National Lab. (ANL), Argonne, IL (United States); Hlava, Kevin J. [Argonne National Lab. (ANL), Argonne, IL (United States); Moore, H. Robert [Argonne National Lab. (ANL), Argonne, IL (United States); Orr, Andrew B. [Argonne National Lab. (ANL), Argonne, IL (United States); Schlueter, Scott O. [Argonne National Lab. (ANL), Argonne, IL (United States); Sullivan, Robert G. [Argonne National Lab. (ANL), Argonne, IL (United States); Zvolanek, Emily A. [Argonne National Lab. (ANL), Argonne, IL (United States)

    2016-11-21

    As has been noted in many reports and publications, acquiring new or expanded rights-of-way for transmission is a challenging process, because numerous land use and land ownership constraints must be overcome to develop pathways suitable for energy transmission infrastructure. In the eastern U.S., more than twenty federally protected national trails (some of which are thousands of miles long, and cross many states) pose a potential obstacle to the development of new or expanded electricity transmission capacity. However, the scope of this potential problem is not well-documented, and there is no baseline information available that could allow all stakeholders to study routing scenarios that could mitigate impacts on national trails. This report, Electricity Transmission, Pipelines, and National Trails: An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, was prepared by the Environmental Science Division of Argonne National Laboratory (Argonne). Argonne was tasked by DOE to analyze the “footprint” of the current network of National Historic and Scenic Trails and the electricity transmission system in the 37 eastern contiguous states, Alaska, and Hawaii; assess the extent to which national trails are affected by electrical transmission; and investigate the extent to which national trails and other sensitive land use types may be affected in the near future by planned transmission lines. Pipelines are secondary to transmission lines for analysis, but are also within the analysis scope in connection with the overall directives of Section 368 of the Energy Policy Act of 2005, and because of the potential for electrical transmission lines being collocated with pipelines.

  18. 75 FR 13342 - Pipeline Safety: Workshop on Distribution Pipeline Construction

    Science.gov (United States)

    2010-03-19

    ... DEPARTMENT OF TRANSPORTATION Pipeline and Hazardous Materials Safety Administration [Docket ID... natural gas distribution construction. Natural gas distribution pipelines are subject to a unique subset... distribution pipeline construction practices. This workshop will focus solely on natural gas distribution...

  19. French bio-diesel demand and promoting measures analysis by 2010

    International Nuclear Information System (INIS)

    Bernard, F.

    2008-02-01

    The researches presented aim at assessing bio-diesel promoting measures under consideration in France by 2010. This assessment is based on a deep study of French bio-diesel demand. The use of a linear model for optimizing the whole French refining industry costs allow us to take into account the physicochemical characteristics of bio-diesel useful for gas oil blending operation. This researches show that bio-diesel can be incorporated up to 27% blend in volume to diesel fuel without major technical problem. A decomposition of the value allotted to the bio-diesel by French refiners according to its physicochemical characteristics shows that energy content is the most disadvantageous characteristics for bio-diesel incorporation and, up to 17%, density become also constraining. However, the low bio-diesel sulphur content could become interesting from now to 2010. On the basis of this bio-diesel demand analysis, we proceed to an external coupling of an agro-industrial model of bio-diesel supply with the French refining model. Thus, we study the impact of the 2010 French bio-diesel consumption objective on agricultural surface need, the competitiveness of the bio-diesel, the reduction of greenhouse gases emissions and the trade balance of the petroleum products. On this basis, we propose a critical analysis of French bio-diesel promoting measures under consideration by 2010. (author)

  20. Pipeline integrity: ILI baseline data for QRA

    Energy Technology Data Exchange (ETDEWEB)

    Porter, Todd R. [Tuboscope Pipeline Services, Houston, TX (United States)]. E-mail: tporter@varco.com; Silva, Jose Augusto Pereira da [Pipeway Engenharia, Rio de Janeiro, RJ (Brazil)]. E-mail: guto@pipeway.com; Marr, James [MARR and Associates, Calgary, AB (Canada)]. E-mail: jmarr@marr-associates.com

    2003-07-01

    The initial phase of a pipeline integrity management program (IMP) is conducting a baseline assessment of the pipeline system and segments as part of Quantitative Risk Assessment (QRA). This gives the operator's integrity team the opportunity to identify critical areas and deficiencies in the protection, maintenance, and mitigation strategies. As a part of data gathering and integration of a wide variety of sources, in-line inspection (ILI) data is a key element. In order to move forward in the integrity program development and execution, the baseline geometry of the pipeline must be determined with accuracy and confidence. From this, all subsequent analysis and conclusions will be derived. Tuboscope Pipeline Services (TPS), in conjunction with Pipeway Engenharia of Brazil, operate ILI inertial navigation system (INS) and Caliper geometry tools, to address this integrity requirement. This INS and Caliper ILI tool data provides pipeline trajectory at centimeter level resolution and sub-metre 3D position accuracy along with internal geometry - ovality, dents, misalignment, and wrinkle/buckle characterization. Global strain can be derived from precise INS curvature measurements and departure from the initial pipeline state. Accurate pipeline elevation profile data is essential in the identification of sag/over bend sections for fluid dynamic and hydrostatic calculations. This data, along with pipeline construction, operations, direct assessment and maintenance data is integrated in LinaViewPRO{sup TM}, a pipeline data management system for decision support functions, and subsequent QRA operations. This technology provides the baseline for an informed, accurate and confident integrity management program. This paper/presentation will detail these aspects of an effective IMP, and experience will be presented, showing the benefits for liquid and gas pipeline systems. (author)

  1. Understanding China’s past and future energy demand: An exergy efficiency and decomposition analysis

    International Nuclear Information System (INIS)

    Brockway, Paul E.; Steinberger, Julia K.; Barrett, John R.; Foxon, Timothy J.

    2015-01-01

    Highlights: • We complete the first time series exergy and useful work study of China (1971–2010). • Novel exergy approach to understand China’s past and future energy consumption. • China’s exergy efficiency rose from 5% to 13%, and is now above US (11%). • Decomposition finds this is due to structural change not technical leapfrogging. • Results suggests current models may underestimate China’s future energy demand. - Abstract: There are very few useful work and exergy analysis studies for China, and fewer still that consider how the results inform drivers of past and future energy consumption. This is surprising: China is the world’s largest energy consumer, whilst exergy analysis provides a robust thermodynamic framework for analysing the technical efficiency of energy use. In response, we develop three novel sub-analyses. First we perform a long-term whole economy time-series exergy analysis for China (1971–2010). We find a 10-fold growth in China’s useful work since 1971, which is supplied by a 4-fold increase in primary energy coupled to a 2.5-fold gain in aggregate exergy conversion efficiency to useful work: from 5% to 12.5%. Second, using index decomposition we expose the key driver of efficiency growth as not ‘technological leapfrogging’ but structural change: i.e. increasing reliance on thermodynamically efficient (but very energy intensive) heavy industrial activities. Third, we extend our useful work analysis to estimate China’s future primary energy demand, and find values for 2030 that are significantly above mainstream projections

  2. From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline.

    Science.gov (United States)

    Chen, Yunshun; Lun, Aaron T L; Smyth, Gordon K

    2016-01-01

    In recent years, RNA sequencing (RNA-seq) has become a very widely used technology for profiling gene expression. One of the most common aims of RNA-seq profiling is to identify genes or molecular pathways that are differentially expressed (DE) between two or more biological conditions. This article demonstrates a computational workflow for the detection of DE genes and pathways from RNA-seq data by providing a complete analysis of an RNA-seq experiment profiling epithelial cell subsets in the mouse mammary gland. The workflow uses R software packages from the open-source Bioconductor project and covers all steps of the analysis pipeline, including alignment of read sequences, data exploration, differential expression analysis, visualization and pathway analysis. Read alignment and count quantification is conducted using the Rsubread package and the statistical analyses are performed using the edgeR package. The differential expression analysis uses the quasi-likelihood functionality of edgeR.

  3. Diagnostic Inspection of Pipelines for Estimating the State of Stress in Them

    Science.gov (United States)

    Subbotin, V. A.; Kolotilov, Yu. V.; Smirnova, V. Yu.; Ivashko, S. K.

    2017-12-01

    The diagnostic inspection used to estimate the technical state of a pipeline is described. The problems of inspection works are listed, and a functional-structural scheme is developed to estimate the state of stress in a pipeline. Final conclusions regarding the actual loading of a pipeline section are drawn upon a cross analysis of the entire information obtained during pipeline inspection.

  4. Seismic response of buried pipelines: a state-of-the-art review

    International Nuclear Information System (INIS)

    Datta, T.K.

    1999-01-01

    A state-of-the-art review of the seismic response of buried pipelines is presented. The review includes modeling of soil-pipe system and seismic excitation, methods of response analysis of buried pipelines, seismic behavior of buried pipelines under different parametric variations, seismic stresses at the bends and intersections of network of pipelines. pipe damage in earthquakes and seismic risk analysis of buried pipelines. Based on the review, the future scope of work on the subject is outlined. (orig.)

  5. Social and economic analysis of the demand for public transport in Vilnius

    Directory of Open Access Journals (Sweden)

    D. Griškevičienė

    2003-08-01

    Full Text Available To determine the demand for public transport on the market, a survey was conducted in 2001 - 2002 concerning the situation in the suburban zones of newly - built up districts where public transport is either inaccessible or poorly developed. The analysis was based on major social and economic factors determining the demand for transport. They are: demographic structure and development, restructuring of productive forces and space planning; employment and unemployment; income and poverty; social insurance, pensions and welfare; the household structure; income and expenditures; mobility of the inhabitants and motorization. The accessibility of transport services to passengers and the choice of transport facilities is closely related to their purchasing power. The offer of public transport services is lower than the demand, especially in the suburbs. As a result, the competition of automobiles is very strong there: the preference given to a car is determined by inaccessibility of public transport on the route for 22 % of the inhabitants, while for 20 % the reason was long way to a bus stop or large intervals in the schedule of public transport facilities. Based on the results obtained, the public transport system in Vilnius should be developed along three main lines: 1 raising the quality of public transport provided on fixed routes; 2 revising and updating the system of fares; 3 integrating the suburban public transport system into the central city transport system. These are the priority tasks associated with general goals of improving the system of public transport so that it could satisfy the needs of the passengers in the city.

  6. Hawaii demand-side management resource assessment. Final report, Reference Volume 1: Building prototype analysis

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-04-01

    This report provides a detailed description of, and the baseline assumptions and simulation results for, the building prototype simulations conducted for the building types designated in the Work Plan for Demand-side Management Assessment of Hawaii`s Demand-Side Resources (HES-4, Phase 2). This report represents the second revision to the initial building prototype description report provided to DBEDT early in the project. Modifications and revisions to the prototypes, based on further calibration efforts and on comments received from DBEDT Staff have been incorporated into this final version. These baseline prototypes form the basis upon which the DSM measure impact estimates and the DSM measure data base were developed for this project. This report presents detailed information for each of the 17 different building prototypes developed for use with the DOE-21E program (23 buildings in total, including resorts and hotels defined separately for each island) to estimate the impact of the building technologies and measures included in this project. The remainder of this section presents some nomenclature and terminology utilized in the reports, tables, and data bases developed from this project to denote building type and vintage. Section 2 contains a more detailed discussion of the data sources, the definition of the residential sector building prototypes, and results of the DOE-2 analysis. Section 3 provides a similar discussion for the commercial sector. The prototype and baseline simulation results are presented in a separate section for each building type. Where possible, comparison of the baseline simulation results with benchmark data from the ENERGY 2020 model or other demand forecasting models specific to Hawaii is included for each building. Appendix A contains a detailed listing of the commercial sector baseline indoor lighting technologies included in the existing and new prototypes by building type.

  7. Is hyperactivity ubiquitous in ADHD or dependent on environmental demands? Evidence from meta-analysis

    Science.gov (United States)

    Kofler, Michael J.; Raiker, Joseph S.; Sarver, Dustin E.; Wells, Erica L.; Soto, Elia F.

    2016-01-01

    Hyperactivity, or excess gross motor activity, is considered a core and ubiquitous characteristic of ADHD. Alternate models question this premise, and propose that hyperactive behavior reflects, to a large extent, purposeful behavior to cope with environmental demands that interact with underlying neurobiological vulnerabilities. The present review critically evaluates the ubiquity and environmental modifiability of hyperactivity in ADHD through meta-analysis of 63 studies of mechanically measured activity level in children, adolescents, and adults with ADHD relative to typically developing (TD) groups. Random effects models corrected for publication bias confirmed elevated gross motor activity in ADHD (d = 0.86); surprisingly, neither participant age (child vs. adult) nor the proportion of each ADHD sample diagnosed with the Inattentive subtype/presentation moderated this effect. In contrast, activity level assessed during high cognitive load conditions in general (d = 1.14) and high executive functioning demands in particular (d = 1.39) revealed significantly higher effect sizes than activity level during low cognitive load (d = 0.36) and in-class schoolwork (d = 0.50) settings. Low stimulation environments, more rigorous diagnostic practices, actigraph measurement of movement frequency and intensity, and ADHD samples that included fewer females were also associated with larger effects. Overall, the results are inconsistent with DSM-5 and ADHD models that a) describe hyperactivity as ubiquitous behavior, b) predict a developmental decline in hyperactivity, or c) differentiate subtypes/presentations according to perceived differences in hyperactive behavior. Instead, results suggest that the presence and magnitude of hyperactive behavior in ADHD may be influenced to a considerable extent by environmental factors in general, and cognitive/executive functioning demands in particular. PMID:27131918

  8. Cognitive costs of decision-making strategies: A resource demand decomposition analysis with a cognitive architecture.

    Science.gov (United States)

    Fechner, Hanna B; Schooler, Lael J; Pachur, Thorsten

    2018-01-01

    Several theories of cognition distinguish between strategies that differ in the mental effort that their use requires. But how can the effort-or cognitive costs-associated with a strategy be conceptualized and measured? We propose an approach that decomposes the effort a strategy requires into the time costs associated with the demands for using specific cognitive resources. We refer to this approach as resource demand decomposition analysis (RDDA) and instantiate it in the cognitive architecture Adaptive Control of Thought-Rational (ACT-R). ACT-R provides the means to develop computer simulations of the strategies. These simulations take into account how strategies interact with quantitative implementations of cognitive resources and incorporate the possibility of parallel processing. Using this approach, we quantified, decomposed, and compared the time costs of two prominent strategies for decision making, take-the-best and tallying. Because take-the-best often ignores information and foregoes information integration, it has been considered simpler than strategies like tallying. However, in both ACT-R simulations and an empirical study we found that under increasing cognitive demands the response times (i.e., time costs) of take-the-best sometimes exceeded those of tallying. The RDDA suggested that this pattern is driven by greater requirements for working memory updates, memory retrievals, and the coordination of mental actions when using take-the-best compared to tallying. The results illustrate that assessing the relative simplicity of strategies requires consideration of the overall cognitive system in which the strategies are embedded. Copyright © 2017 Elsevier B.V. All rights reserved.

  9. A Next-Generation Sequencing Data Analysis Pipeline for Detecting Unknown Pathogens from Mixed Clinical Samples and Revealing Their Genetic Diversity.

    Directory of Open Access Journals (Sweden)

    Yu-Nong Gong

    Full Text Available Forty-two cytopathic effect (CPE-positive isolates were collected from 2008 to 2012. All isolates could not be identified for known viral pathogens by routine diagnostic assays. They were pooled into 8 groups of 5-6 isolates to reduce the sequencing cost. Next-generation sequencing (NGS was conducted for each group of mixed samples, and the proposed data analysis pipeline was used to identify viral pathogens in these mixed samples. Polymerase chain reaction (PCR or enzyme-linked immunosorbent assay (ELISA was individually conducted for each of these 42 isolates depending on the predicted viral types in each group. Two isolates remained unknown after these tests. Moreover, iteration mapping was implemented for each of these 2 isolates, and predicted human parechovirus (HPeV in both. In summary, our NGS pipeline detected the following viruses among the 42 isolates: 29 human rhinoviruses (HRVs, 10 HPeVs, 1 human adenovirus (HAdV, 1 echovirus and 1 rotavirus. We then focused on the 10 identified Taiwanese HPeVs because of their reported clinical significance over HRVs. Their genomes were assembled and their genetic diversity was explored. One novel 6-bp deletion was found in one HPeV-1 virus. In terms of nucleotide heterogeneity, 64 genetic variants were detected from these HPeVs using the mapped NGS reads. Most importantly, a recombination event was found between our HPeV-3 and a known HPeV-4 strain in the database. Similar event was detected in the other HPeV-3 strains in the same clade of the phylogenetic tree. These findings demonstrated that the proposed NGS data analysis pipeline identified unknown viruses from the mixed clinical samples, revealed their genetic identity and variants, and characterized their genetic features in terms of viral evolution.

  10. An Analysis of the Demand for and Value of Outdoor Recreation in the United States.

    Science.gov (United States)

    Bergstrom, John C.; Cordell, H. Ken

    1991-01-01

    Results of a study of demand equations for 37 outdoor recreational activities using a multicommunity, multisite travel cost model suggest that determinants of the demand for outdoor recreation include population, residence, income, age, price, quality, and recreational opportunity substitutes. (JD)

  11. Demand and supply of emergency help: an economic analysis of Red Cross services.

    Science.gov (United States)

    Hackl, Franz; Pruckner, Gerald Josef

    2006-08-01

    This paper analyzes supply and demand side characteristics of (voluntary) Red Cross services in Austria. The demand side analysis is based on a contingent valuation study on people's willingness to pay for emergency treatment, transportation services and disaster relief activities. The supply side is identified by a high percentage of volunteers in the Red Cross organization which makes the provision of emergency help at low cost possible. We find that aggregate benefits of Red Cross services exceed their cost of production. Policy conclusions are drawn with respect to future recruitment and funding: whereas intrinsic motivation is important for the decision to volunteer, and financial incentives play a minor role in general, the young Red Cross activists work voluntarily for self-realization reasons and to continue their education. Age-specific recruitment strategies accompanied by word-of-mouth advertising are recommended to address potential volunteers. As long as the volunteering character of Red Cross services will be maintained and cost of production will not go up an increase of funds does not seem necessary in the future. Moreover, a radical change in the structure of funding may crowd out both donations and voluntary labor supply.

  12. Availability analysis of subsea blowout preventer using Markov model considering demand rate

    Directory of Open Access Journals (Sweden)

    Sunghee Kim

    2014-12-01

    Full Text Available Availabilities of subsea Blowout Preventers (BOP in the Gulf of Mexico Outer Continental Shelf (GoM OCS is investigated using a Markov method. An updated β factor model by SINTEF is used for common-cause failures in multiple redundant systems. Coefficient values of failure rates for the Markov model are derived using the β factor model of the PDS (reliability of computer-based safety systems, Norwegian acronym method. The blind shear ram preventer system of the subsea BOP components considers a demand rate to reflect reality more. Markov models considering the demand rate for one or two components are introduced. Two data sets are compared at the GoM OCS. The results show that three or four pipe ram preventers give similar availabilities, but redundant blind shear ram preventers or annular preventers enhance the availability of the subsea BOP. Also control systems (PODs and connectors are contributable components to improve the availability of the subsea BOPs based on sensitivity analysis.

  13. Are PIIGS so different? An empirical analysis of demand and supply shocks

    Directory of Open Access Journals (Sweden)

    Syssoyeva-Masson Irina

    2017-01-01

    Full Text Available This paper analyses responses to supply and demand shocks in PIIGS countries. We compare the results obtained for PIIGS with those of Germany and the USA, and also with those of France, which despite its government’s efforts demonstrate relatively poor recent economic performance. The main objective of this paper is to establish whether it is still reasonable to consider PIIGS as a group apart. Our methodological strategy is based on the Okun Law (OL which is incorporated in a Structural Vector Autoregression (SVAR model with Blanchard-Quah (BQ restrictions. We address two drawbacks that usually present in the OL: the interdependency problem and the non-stationarity problem. By using a non-parametric representation of OL, we identify the heterogeneity between countries. We build stable VAR models for each of the economies and use the BQ SVAR impulses to analyse the importance of contemporary and long-run effects of supply and demand shocks. The main conclusion of this paper is that it does not make any sense today to identify PIIGS as a separate group. Additionally, a country that stands out from our analysis is France. The question can thus be posed that if “PIIGS” signifies “countries with poor economic performances” then should not France also belong to this group?

  14. Performance Analysis of On-Demand Routing Protocols in Wireless Mesh Networks

    Directory of Open Access Journals (Sweden)

    Arafatur RAHMAN

    2009-01-01

    Full Text Available Wireless Mesh Networks (WMNs have recently gained a lot of popularity due to their rapid deployment and instant communication capabilities. WMNs are dynamically self-organizing, self-configuring and self-healing with the nodes in the network automatically establishing an adiej hoc network and preserving the mesh connectivity. Designing a routing protocol for WMNs requires several aspects to consider, such as wireless networks, fixed applications, mobile applications, scalability, better performance metrics, efficient routing within infrastructure, load balancing, throughput enhancement, interference, robustness etc. To support communication, various routing protocols are designed for various networks (e.g. ad hoc, sensor, wired etc.. However, all these protocols are not suitable for WMNs, because of the architectural differences among the networks. In this paper, a detailed simulation based performance study and analysis is performed on the reactive routing protocols to verify the suitability of these protocols over such kind of networks. Ad Hoc On-Demand Distance Vector (AODV, Dynamic Source Routing (DSR and Dynamic MANET On-demand (DYMO routing protocol are considered as the representative of reactive routing protocols. The performance differentials are investigated using varying traffic load and number of source. Based on the simulation results, how the performance of each protocol can be improved is also recommended.

  15. Pipeline system operability review

    Energy Technology Data Exchange (ETDEWEB)

    Eriksson, Kjell [Det Norske Veritas (Norway); Davies, Ray [CC Technologies, Dublin, OH (United States)

    2005-07-01

    Pipeline operators are continuously working to improve the safety of their systems and operations. In the US both liquid and gas pipeline operators have worked with the regulators over many years to develop more systematic approaches to pipeline integrity management. To successfully manage pipeline integrity, vast amounts of data from different sources needs to be collected, overlaid and analyzed in order to assess the current condition and predict future degradation. The efforts undertaken by the operators has had a significant impact on pipeline safety, nevertheless, during recent years we have seen a number of major high profile accidents. One can therefore ask how effective the pipeline integrity management systems and processes are. This paper will present one methodology 'The Pipeline System Operability Review' that can evaluate and rate the effectiveness of both the management systems and procedures, as well as the technical condition of the hardware. The result from the review can be used to compare the performance of different pipelines within one operating company, as well as benchmark with international best practices. (author)

  16. Pipeline system operability review

    Energy Technology Data Exchange (ETDEWEB)

    Eriksson, Kjell [Det Norske Veritas (Norway); Davies, Ray [CC Technologies, Dublin, OH (United States)

    2005-07-01

    Pipeline operators are continuously working to improve the safety of their systems and operations. In the US both liquid and gas pipeline operators have worked with the regulators over many years to develop more systematic approaches to pipeline integrity management. To successfully manage pipeline integrity, vast amounts of data from different sources needs to be collected, overlaid and analyzed in order to assess the current condition and predict future degradation. The efforts undertaken by the operators has had a significant impact on pipeline safety, nevertheless, during recent years we have seen a number of major high profile accidents. One can therefore ask how effective the pipeline integrity management systems and processes are. This paper will present one methodology 'The Pipeline System Operability Review' that can evaluate and rate the effectiveness of both the management systems and procedures, as well as the technical condition of the hardware. The result from the review can be used to compare the performance of different pipelines within one operating company, as well as benchmark with international best practices. (author)

  17. THE DEMAND FOR MEAT PRODUCTS IN THE UNITED STATES: AN EMPIRICAL ANALYSIS

    OpenAIRE

    Olowolayemo, Surajudeen O.; Martin, Neil R., Jr.; Raymond, Jennie E.

    1993-01-01

    Given the importance of meat consumption, and the proportion of consumers' income spent on meat, this study estimates the demand for eight meat categories using two different functional forms. An inverse almost ideal demand system (IAIDS), and linear double-log price dependent demand models are specified. In most cases, flexibilities obtained from both methods are comparable and show that the demand for meat products is price inflexible. In addition, there are regional as well as seasonal var...

  18. Slurry pipeline design approach

    Energy Technology Data Exchange (ETDEWEB)

    Betinol, Roy; Navarro R, Luis [Brass Chile S.A., Santiago (Chile)

    2009-12-19

    Compared to other engineering technologies, the design of a commercial long distance Slurry Pipeline design is a relatively new engineering concept which gained more recognition in the mid 1960 's. Slurry pipeline was first introduced to reduce cost in transporting coal to power generating units. Since then this technology has caught-up worldwide to transport other minerals such as limestone, copper, zinc and iron. In South America, the use of pipeline is commonly practiced in the transport of Copper (Chile, Peru and Argentina), Iron (Chile and Brazil), Zinc (Peru) and Bauxite (Brazil). As more mining operations expand and new mine facilities are opened, the design of the long distance slurry pipeline will continuously present a commercially viable option. The intent of this paper is to present the design process and discuss any new techniques and approach used today to ensure a better, safer and economical slurry pipeline. (author)

  19. French bio-diesel demand and promoting measures analysis by 2010; Analyse de la demande et des mesures de promotion francaises du biodiesel a l'horizon 2010

    Energy Technology Data Exchange (ETDEWEB)

    Bernard, F

    2008-02-15

    The researches presented aim at assessing bio-diesel promoting measures under consideration in France by 2010. This assessment is based on a deep study of French bio-diesel demand. The use of a linear model for optimizing the whole French refining industry costs allow us to take into account the physicochemical characteristics of bio-diesel useful for gas oil blending operation. This researches show that bio-diesel can be incorporated up to 27% blend in volume to diesel fuel without major technical problem. A decomposition of the value allotted to the bio-diesel by French refiners according to its physicochemical characteristics shows that energy content is the most disadvantageous characteristics for bio-diesel incorporation and, up to 17%, density become also constraining. However, the low bio-diesel sulphur content could become interesting from now to 2010. On the basis of this bio-diesel demand analysis, we proceed to an external coupling of an agro-industrial model of bio-diesel supply with the French refining model. Thus, we study the impact of the 2010 French bio-diesel consumption objective on agricultural surface need, the competitiveness of the bio-diesel, the reduction of greenhouse gases emissions and the trade balance of the petroleum products. On this basis, we propose a critical analysis of French bio-diesel promoting measures under consideration by 2010. (author)

  20. A comparative analysis of energy demand and expenditures by minority and majority households within the context of a conditional demand system

    Energy Technology Data Exchange (ETDEWEB)

    Poyer, D.A.

    1992-08-01

    Analysis and evaluation of the impact that programs and policies have on energy consumption and expenditures are confounded by many intervening variables. A clear understanding of how these variables influence energy consumption patterns should be grounded in a rigorously developed framework. In this regard much is documented in the literature. However, an analysis of the comparative relationship between energy demand and variables which influence it among different socioeconomic groups has not been thoroughly explored with any theoretical rigor. It is proposed that differences in patterns of energy use between black, Hispanic, and majority households (where the household head is neither black nor Hispanic) are due to both structural and distribution differences. It is felt that the structural dissimilarities are primarily due to the dynamic nature in which energy consumption patterns evolve, with differences in changing housing patterns playing a significant role. For minorities, this implies a potential difference in the effect of policy and programs on economic welfare when compared to majority households.To test this hypothesis, separate conditional demand systems are estimated for majority, black, and Hispanic households. With the use of separate variance/covariance matrices, various parameter groups are tested for statistically significant differences.

  1. A comparative analysis of energy demand and expenditures by minority and majority households within the context of a conditional demand system

    Energy Technology Data Exchange (ETDEWEB)

    Poyer, D.A.

    1992-01-01

    Analysis and evaluation of the impact that programs and policies have on energy consumption and expenditures are confounded by many intervening variables. A clear understanding of how these variables influence energy consumption patterns should be grounded in a rigorously developed framework. In this regard much is documented in the literature. However, an analysis of the comparative relationship between energy demand and variables which influence it among different socioeconomic groups has not been thoroughly explored with any theoretical rigor. It is proposed that differences in patterns of energy use between black, Hispanic, and majority households (where the household head is neither black nor Hispanic) are due to both structural and distribution differences. It is felt that the structural dissimilarities are primarily due to the dynamic nature in which energy consumption patterns evolve, with differences in changing housing patterns playing a significant role. For minorities, this implies a potential difference in the effect of policy and programs on economic welfare when compared to majority households.To test this hypothesis, separate conditional demand systems are estimated for majority, black, and Hispanic households. With the use of separate variance/covariance matrices, various parameter groups are tested for statistically significant differences.

  2. 78 FR 70623 - Pipeline Safety: Meeting of the Gas Pipeline Advisory Committee and the Liquid Pipeline Advisory...

    Science.gov (United States)

    2013-11-26

    ... DEPARTMENT OF TRANSPORTATION Pipeline and Hazardous Materials Safety Administration [Docket No. PHMSA-2009-0203] Pipeline Safety: Meeting of the Gas Pipeline Advisory Committee and the Liquid Pipeline Advisory Committee AGENCY: Pipeline and Hazardous Materials Safety Administration (PHMSA), DOT. [[Page...

  3. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis.

    Science.gov (United States)

    Whelan, Fiona J; Surette, Michael G

    2017-08-14

    Advances in next-generation sequencing technologies have allowed for detailed, molecular-based studies of microbial communities such as the human gut, soil, and ocean waters. Sequencing of the 16S rRNA gene, specific to prokaryotes, using universal PCR primers has become a common approach to studying the composition of these microbiota. However, the bioinformatic processing of the resulting millions of DNA sequences can be challenging, and a standardized protocol would aid in reproducible analyses. The short-read library 16S rRNA gene sequencing pipeline (sl1p, pronounced "slip") was designed with the purpose of mitigating this lack of reproducibility by combining pre-existing tools into a computational pipeline. This pipeline automates the processing of raw 16S rRNA gene sequencing data to create human-readable tables, graphs, and figures to make the collected data more readily accessible. Data generated from mock communities were compared using eight OTU clustering algorithms, two taxon assignment approaches, and three 16S rRNA gene reference databases. While all of these algorithms and options are available to sl1p users, through testing with human-associated mock communities, AbundantOTU+, the RDP Classifier, and the Greengenes 2011 reference database were chosen as sl1p's defaults based on their ability to best represent the known input communities. sl1p promotes reproducible research by providing a comprehensive log file, and reduces the computational knowledge needed by the user to process next-generation sequencing data. sl1p is freely available at https://bitbucket.org/fwhelan/sl1p .

  4. China's medical savings accounts: an analysis of the price elasticity of demand for health care.

    Science.gov (United States)

    Yu, Hao

    2017-07-01

    Although medical savings accounts (MSAs) have drawn intensive attention across the world for their potential in cost control, there is limited evidence of their impact on the demand for health care. This paper is intended to fill that gap. First, we built up a dynamic model of a consumer's problem of utility maximization in the presence of a nonlinear price schedule embedded in an MSA. Second, the model was implemented using data from a 2-year MSA pilot program in China. The estimated price elasticity under MSAs was between -0.42 and -0.58, i.e., higher than that reported in the literature. The relatively high price elasticity suggests that MSAs as an insurance feature may help control costs. However, the long-term effect of MSAs on health costs is subject to further analysis.

  5. Learning from our global competitors: A comparative analysis of science, technology, engineering and mathematics (STEM) education pipelines in the United States, Mainland China and Taiwan

    Science.gov (United States)

    Chow, Christina M.

    Maintaining a competitive edge within the 21st century is dependent on the cultivation of human capital, producing qualified and innovative employees capable of competing within the new global marketplace. Technological advancements in communications technology as well as large scale, infrastructure development has led to a leveled playing field where students in the U.S. will ultimately be competing for jobs with not only local, but also international, peers. Thus, the ability to understand and learn from our global competitors, starting with the examination of innovative education systems and best practice strategies, is tantamount to the economic development, and ultimate survival, of the U.S. as a whole. The purpose of this study was to investigate the current state of science, technology, engineering and mathematics (STEM) education and workforce pipelines in the U.S., China, and Taiwan. Two broad research questions examined STEM workforce production in terms of a) structural differences in primary and secondary school systems, including analysis of minimum high school graduation requirements and assessments as well as b) organizational differences in tertiary education and trends in STEM undergraduate and graduate degrees awarded in each region of interest. While each of the systems studied had their relative strengths and weaknesses, each of the Asian economies studied had valuable insights that can be categorized broadly in terms of STEM capacity, STEM interest and a greater understanding of global prospects that led to heightened STEM awareness. In China and Taiwan, STEM capacity was built via both traditional and vocational school systems. Focused and structured curriculum during the primary and early secondary school years built solid mathematics and science skills that translated into higher performance on international assessments and competitions. Differentiated secondary school options, including vocational high school and technical colleges and

  6. An analysis of the factors influencing demand-side management activity in the electric utility industry

    Science.gov (United States)

    Bock, Mark Joseph

    Demand-side management (DSM), defined as the "planning, implementation, and monitoring of utility activities designed to encourage consumers to modify their pattern of electricity usage, including the timing and level of electricity demand," is a relatively new concept in the U.S. electric power industry. Nevertheless, in twenty years since it was first introduced, utility expenditures on DSM programs, as well as the number of such programs, have grown rapidly. At first glance, it may seem peculiar that a firm would actively attempt to reduce demand for its primary product. There are two primary explanations as to why a utility might pursue DSM: regulatory mandate, and self-interest. The purpose of this dissertation is to determine the impact these influences have on the amount of DSM undertaken by utilities. This research is important for two reasons. First, it provides insight into whether DSM will continue to exist as competition becomes more prevalent in the industry. Secondly, it is important because no one has taken a comprehensive look at firm-level DSM activity on an industry-wide basis. The primary data set used in this dissertation is the U.S. Department of Energy's Annual Electric Utility Report, Form EIA-861, which represents the most comprehensive data set available for analyzing DSM activity in the U.S. There are four measures of DSM activity in this data set: (1) utility expenditures on DSM programs; (2) energy savings by DSM program participants; and (3) the actual and (4) the potential reductions in peak load resulting from utility DSM measures. Each is used as the dependent variable in an econometric analysis where independent variables include various utility characteristics, regulatory characteristics, and service territory and customer characteristics. In general, the results from the econometric analysis suggest that in 1993, DSM activity was primarily the result of regulatory pressure. All of the evidence suggests that if DSM continues to

  7. Definitions and Basic Concepts of Supply and Demand Analysis Used to Determine Market Equilibrium. Principles of Economics II (Microeconomics), Lesson Plan No. 6.

    Science.gov (United States)

    Chiu-Irion, Vicky

    Developed as part of a 37.5-hour microeconomics course, this lesson plan focuses on the concepts of supply and demand analysis used to determine market equilibrium. The objectives of the 50-minute lesson are to enable the student to: (1) explain how a demand schedule is derived from raw data; (2) graph a demand curve from the demand schedule; (3)…

  8. Electricity Transmission, Pipelines, and National Trails. An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, Alaska, and Hawaii

    Energy Technology Data Exchange (ETDEWEB)

    Kuiper, James A; Krummel, John R; Hlava, Kevin J; Moore, H Robert; Orr, Andrew B; Schlueter, Scott O; Sullivan, Robert G; Zvolanek, Emily A

    2014-03-25

    As has been noted in many reports and publications, acquiring new or expanded rights-of-way for transmission is a challenging process, because numerous land use and land ownership constraints must be overcome to develop pathways suitable for energy transmission infrastructure. In the eastern U.S., more than twenty federally protected national trails (some of which are thousands of miles long, and cross many states) pose a potential obstacle to the development of new or expanded electricity transmission capacity. However, the scope of this potential problem is not well-documented, and there is no baseline information available that could allow all stakeholders to study routing scenarios that could mitigate impacts on national trails. This report, Electricity Transmission, Pipelines, and National Trails: An Analysis of Current and Potential Intersections on Federal Lands in the Eastern United States, was prepared by the Environmental Science Division of Argonne National Laboratory (Argonne). Argonne was tasked by DOE to analyze the “footprint” of the current network of National Historic and Scenic Trails and the electricity transmission system in the 37 eastern contiguous states, Alaska, and Hawaii; assess the extent to which national trails are affected by electrical transmission; and investigate the extent to which national trails and other sensitive land use types may be affected in the near future by planned transmission lines. Pipelines are secondary to transmission lines for analysis, but are also within the analysis scope in connection with the overall directives of Section 368 of the Energy Policy Act of 2005, and because of the potential for electrical transmission lines being collocated with pipelines. Based on Platts electrical transmission line data, a total of 101 existing intersections with national trails on federal land were found, and 20 proposed intersections. Transmission lines and pipelines are proposed in Alaska; however there are no

  9. Early leak detection in pipelines. The new generation of leak detection pigs. Higher safety with multi-channel spectrographic analysis; Leckfrueherkennung in Pipelines. Die neue Generation von Lecksuchmolchen. Mehr Sicherheit durch Multi-Spektral-Analyse

    Energy Technology Data Exchange (ETDEWEB)

    Gottsberg, Ulf [GOTTSBERG Leak Detection GmbH und Co. KG, Oststeinbek (Germany)

    2010-01-15

    Measurement methods that rely on pressure reduction or volume loss are not frequent or sensitive enough to find small leaks. With large leaks, however, they react immediately and lead to shutting down entire systems. The most sensitive measurement procedures, accomplished in various ways by intelligent pigs (PIGs, Pipeline Inspection Gauges), are very cost-intensive. These costs are caused by large material and personnel expenditures. Also, pipeline operation can be impaired or interrupted for several days. With this background, the Gottsberg team has pursued a clear goal: Manufacture and further development of a highly sensitive but still flexible procedure for early leak recognition. (orig.)

  10. Uncertainty analysis of daily potable water demand on the performance evaluation of rainwater harvesting systems in residential buildings.

    Science.gov (United States)

    Silva, Arthur Santos; Ghisi, Enedir

    2016-09-15

    The objective of this paper is to perform a sensitivity analysis of design variables and an uncertainty analysis of daily potable water demand to evaluate the performance of rainwater harvesting systems in residential buildings. Eight cities in Brazil with different rainfall patterns were analysed. A numeric experiment was performed by means of computer simulation of rainwater harvesting. A sensitivity analysis was performed using variance-based indices for identifying the most important design parameters for rainwater harvesting systems when assessing the potential for potable water savings and underground tank capacity sizing. The uncertainty analysis was performed for different scenarios of potable water demand with stochastic variations in a normal distribution with different coefficients of variation throughout the simulated period. The results have shown that different design variables, such as potable water demand, number of occupants, rainwater demand, and roof area are important for obtaining the ideal underground tank capacity and estimating the potential for potable water savings. The stochastic variations on the potable water demand caused amplitudes of up to 4.8% on the potential for potable water savings and 9.4% on the ideal underground tank capacity. Average amplitudes were quite low for all cities. However, some combinations of parameters resulted in large amplitude of uncertainty and difference from uniform distribution for tank capacities and potential for potable water savings. Stochastic potable water demand generated low uncertainties in the performance evaluation of rainwater harvesting systems; therefore, uniform distribution could be used in computer simulation. Copyright © 2016 Elsevier Ltd. All rights reserved.

  11. Forecast analysis of the electricity supply-demand balance in France during the summer of 2008. Supply-demand balance analysis during the summer of 2008

    International Nuclear Information System (INIS)

    2008-05-01

    Twice a year, RTE publishes a forecast study of the electricity supply and demand in continental France for the summer and winter periods. The study is based on the information supplied by electric utilities concerning the expected availability of power generation means and on statistical meteorological models. Safety margins are calculated using thousands of probabilistic scenarios combining various production and consumption situations. This report is the forecast study for the summer of 2008

  12. Transport energy demand in Andorra. Assessing private car futures through sensitivity and scenario analysis

    International Nuclear Information System (INIS)

    Travesset-Baro, Oriol; Gallachóir, Brian P.Ó.; Jover, Eric; Rosas-Casals, Marti

    2016-01-01

    This paper presents a model which estimates current car fleet energy consumption in Andorra and forecasts such consumption as a reference scenario. The base-year model is built through a bottom-up methodology using vehicle registration and technical inspection data. The model forecasts energy consumption up to 2050, taking into account the fleet structure, the car survival profile, trends in activity of the various car categories, and the fuel price and income elasticities that affect car stock and total fleet activity. It provides an initial estimate of private car energy demand in Andorra and charts a baseline scenario that describes a hypothetical future based on historical trends. A local sensitivity analysis is conducted to determine the most sensitive input parameters and study the effect of its variability. In addition, the scenario analysis explores the most uncertain future aspects which can cause important variability in the results with respect to the Reference scenario and provides a broad estimate of potential energy savings related to different policy strategies. - Highlights: •A private car energy model is built using aggregated available data. •Andorra's current car fleet energy consumption is estimated and forecasted to 2050. •Potential energy savings have been estimated using sensitivity and scenario analysis.

  13. 76 FR 53086 - Pipeline Safety: Safety of Gas Transmission Pipelines

    Science.gov (United States)

    2011-08-25

    ... DEPARTMENT OF TRANSPORTATION Pipeline and Hazardous Materials Safety Administration 49 CFR Part 192 [Docket No. PHMSA-2011-0023] RIN 2137-AE72 Pipeline Safety: Safety of Gas Transmission Pipelines AGENCY: Pipeline and Hazardous Materials Safety Administration (PHMSA), Department of Transportation (DOT...

  14. 76 FR 70953 - Pipeline Safety: Safety of Gas Transmission Pipelines

    Science.gov (United States)

    2011-11-16

    ... DEPARTMENT OF TRANSPORTATION Pipeline and Hazardous Materials Safety Administration 49 CFR Part 192 [Docket ID PHMSA-2011-0023] RIN 2137-AE72 Pipeline Safety: Safety of Gas Transmission Pipelines AGENCY: Pipeline and Hazardous Materials Safety Administration (PHMSA); DOT. ACTION: Advance notice of...

  15. Pipeline Drag Reducers

    International Nuclear Information System (INIS)

    Marawan, H.

    2004-01-01

    Pipeline drag reducers have proven to be an extremely powerful tool in fluid transportation. High molecular weight polymers are used to reduce the frictional pressure loss ratio in crude oil pipelines, refined fuel and aqueous pipelines. Chemical structure of the main used pipeline drag reducers is one of the following polymers and copolymers classified according to the type of fluid to ; low density polyethylene, copolymer of I-hexane cross linked with divinyl benzene, polyacrylamide, polyalkylene oxide polymers and their copolymers, fluorocarbons, polyalkyl methacrylates and terpolymer of styrene, alkyl acrylate and acrylic acid. Drag reduction is the increase in pump ability of a fluid caused by the addition of small amounts of an additive to the fluid. The effectiveness of a drag reducer is normally expressed in terms of percent drag reduction. Frictional pressure loss in a pipeline system is a waste of energy and it costly. The drag reducing additive minimizes the flow turbulence, increases throughput and reduces the energy costs. The Flow can be increased by more than 80 % with existing assets. The effectiveness of the injected drag reducer in Mostorod to Tanta crude oil pipeline achieved 35.4 % drag reduction and 23.2 % flow increase of the actual performance The experimental application of DRA on Arab Petroleum Pipeline Company (Summed) achieved a flow increase ranging from 9-32 %

  16. Pollution from pipelines

    International Nuclear Information System (INIS)

    1991-01-01

    During the 1980s, over 3,900 spills from land-based pipelines released nearly 20 million gallons of oil into U.S. waters-almost twice as much as was released by the March 1989 Exxon Valdez oil spill. Although the Department of Transportation is responsible for preventing water pollution from petroleum pipelines, GAO found that it has not established a program to prevent such pollution. DOT has instead delegated this responsibility to the Coast Guard, which has a program to stop water pollution from ships, but not from pipelines. This paper reports that, in the absence of any federal program to prevent water pollution from pipelines, both the Coast Guard and the Environmental Protection Agency have taken steps to plan for and respond to oil spills, including those from pipelines, as required by the Clean Water Act. The Coast Guard cannot, however, adequately plan for or ensure a timely response to pipeline spills because it generally is unaware of specific locations and operators of pipelines

  17. Stochastic–multiobjective market equilibrium analysis of a demand response program in energy market under uncertainty

    International Nuclear Information System (INIS)

    Hu, Ming-Che; Lu, Su-Ying; Chen, Yen-Haw

    2016-01-01

    Highlights: • Analyze the impact of a demand response program under uncertainty. • Stochastic Nash–Cournot competition model is formulated. • Case study of the Taiwanese electric power market is conducted. • Demand response decreases power price, generation, and emissions. • Demand uncertainty increases energy price and supply risk in the results. - Abstract: In the electricity market, demand response programs are designed to shift peak demand and enhance system reliability. A demand response program can reduce peak energy demand, power transmission congestion, or high energy-price conditions by changing consumption patterns. The purpose of this research is to analyze the impact of a demand response program in the energy market, under demand uncertainty. A stochastic–multiobjective Nash–Cournot competition model is formulated to simulate demand response in an uncertain energy market. Then, Karush–Kuhn–Tucker optimality conditions and a linear complementarity problem are derived for the stochastic Nash–Cournot model. Accordingly, the linear complementarity problem is solved and its stochastic market equilibrium solution is determined by using a general algebraic modeling system. Additionally, the case of the Taiwanese electric power market is taken up here, and the results show that a demand response program is capable of reducing peak energy consumption, energy price, and carbon dioxide emissions. The results show that demand response program decreases electricity price by 2–10%, total electricity generation by 0.5–2%, and carbon dioxide emissions by 0.5–2.5% in the Taiwanese power market. In the simulation, demand uncertainty leads to an 2–7% increase in energy price and supply risk in the market. Additionally, tradeoffs between cost and carbon dioxide emissions are presented.

  18. Influencing Factors and Development Trend Analysis of China Electric Grid Investment Demand Based on a Panel Co-Integration Model

    OpenAIRE

    Jinchao Li; Lin Chen; Yuwei Xiang; Jinying Li; Dong Peng

    2018-01-01

    Electric grid investment demand analysis is significant to reasonably arranging construction funds for the electric grid and reduce costs. This paper used the panel data of electric grid investment from 23 provinces of China between 2004 and 2016 as samples to analyze the influence between electric grid investment demand and GDP, population scale, social electricity consumption, installed electrical capacity, and peak load based on co-integration tests. We find that GDP and peak load have pos...

  19. High temperature pipeline design

    Energy Technology Data Exchange (ETDEWEB)

    Greenslade, J.G. [Colt Engineering, Calgary, AB (Canada). Pipelines Dept.; Nixon, J.F. [Nixon Geotech Ltd., Calgary, AB (Canada); Dyck, D.W. [Stress Tech Engineering Inc., Calgary, AB (Canada)

    2004-07-01

    It is impractical to transport bitumen and heavy oil by pipelines at ambient temperature unless diluents are added to reduce the viscosity. A diluted bitumen pipeline is commonly referred to as a dilbit pipeline. The diluent routinely used is natural gas condensate. Since natural gas condensate is limited in supply, it must be recovered and reused at high cost. This paper presented an alternative to the use of diluent to reduce the viscosity of heavy oil or bitumen. The following two basic design issues for a hot bitumen (hotbit) pipeline were presented: (1) modelling the restart problem, and, (2) establishing the maximum practical operating temperature. The transient behaviour during restart of a high temperature pipeline carrying viscous fluids was modelled using the concept of flow capacity. Although the design conditions were hypothetical, they could be encountered in the Athabasca oilsands. It was shown that environmental disturbances occur when the fluid is cooled during shut down because the ground temperature near the pipeline rises. This can change growing conditions, even near deeply buried insulated pipelines. Axial thermal loads also constrain the design and operation of a buried pipeline as higher operating temperatures are considered. As such, strain based design provides the opportunity to design for higher operating temperature than allowable stress based design methods. Expansion loops can partially relieve the thermal stress at a given temperature. As the design temperature increase, there is a point at which above grade pipelines become attractive options, although the materials and welding procedures must be suitable for low temperature service. 3 refs., 1 tab., 10 figs.

  20. Interactive energy demand analysis: The MAED-BI model application in the Shanxi province, PRC

    International Nuclear Information System (INIS)

    Vallance, B.; Weigkricht, E.

    1990-12-01

    Within the framework of collaboration between IIASA's Advanced Computer Applications project (ACA) and the State Science and Technology Commission of the People's Republic of China (SSTCC), ACA has developed an integrated set of information and decision support systems for development planning in China. The system is implemented for a case study of Shanxi, a province in north central China, which is very rich in coal and several mineral resources, but is still at an early stage of development, lacking, for example, a well developed infrastructure, or sufficient water. The decision support system combines several data bases, simulation, and optimization models, and AI components, in an easy-to-use expert system framework. A graphical and largely symbolic user interface, relying exclusively on menu techniques and providing extensive help and explain functions, makes access to the system's functions easy for the planner and decision maker, who might have little or no computer experience. The system is designed to assist the five-year planning process in Shanxi province, which, in the Chinese philosophy of integrated development, includes investment distribution, i.e., primarily economic, but also technological, resource, environmental, and socio-political considerations. The scope of the system, consequently, ranges from the macroeconomic level down to sectoral and more engineering-oriented models. In the Shanxi software system, modeling the energy demand (and also related investment, labor, and water requirements) of planned production schemes, or more generally, the economic and social development, is done with the help of the MAED-BI (Model for Analysis of Energy Demand in Basic Industries). Connection to a relational data base management system for the definition of input scenarios, and an interactive, graphical user interface for the selective display of model results, are important features. The model was developed in collaboration with the International Atomic

  1. Chopped or long roughage: what do calves prefer? Using cross point analysis of double demand functions.

    Directory of Open Access Journals (Sweden)

    Laura E Webb

    Full Text Available The present study aimed to quantify calves' (Bos taurus preference for long versus chopped hay and straw, and hay versus straw, using cross point analysis of double demand functions, in a context where energy intake was not a limiting factor. Nine calves, fed milk replacer and concentrate, were trained to work for roughage rewards from two simultaneously available panels. The cost (number of muzzle presses required on the panels varied in each session (left panel/right panel: 7/35, 14/28, 21/21, 28/14, 35/7. Demand functions were estimated from the proportion of rewards achieved on one panel relative to the total number of rewards achieved in one session. Cross points (cp were calculated as the cost at which an equal number of rewards was achieved from both panels. The deviation of the cp from the midpoint (here 21 indicates the strength of the preference. Calves showed a preference for long versus chopped hay (cp = 14.5; P = 0.004, and for hay versus straw (cp = 38.9; P = 0.004, both of which improve rumen function. Long hay may stimulate chewing more than chopped hay, and the preference for hay versus straw could be related to hedonic characteristics. No preference was found for chopped versus long straw (cp = 20.8; P = 0.910. These results could be used to improve the welfare of calves in production systems; for example, in systems where calves are fed hay along with high energy concentrate, providing long hay instead of chopped could promote roughage intake, rumen development, and rumination.

  2. Chopped or Long Roughage: What Do Calves Prefer? Using Cross Point Analysis of Double Demand Functions

    Science.gov (United States)

    Webb, Laura E.; Bak Jensen, Margit; Engel, Bas; van Reenen, Cornelis G.; Gerrits, Walter J. J.; de Boer, Imke J. M.; Bokkers, Eddie A. M.

    2014-01-01

    The present study aimed to quantify calves'(Bos taurus) preference for long versus chopped hay and straw, and hay versus straw, using cross point analysis of double demand functions, in a context where energy intake was not a limiting factor. Nine calves, fed milk replacer and concentrate, were trained to work for roughage rewards from two simultaneously available panels. The cost (number of muzzle presses) required on the panels varied in each session (left panel/right panel): 7/35, 14/28, 21/21, 28/14, 35/7. Demand functions were estimated from the proportion of rewards achieved on one panel relative to the total number of rewards achieved in one session. Cross points (cp) were calculated as the cost at which an equal number of rewards was achieved from both panels. The deviation of the cp from the midpoint (here 21) indicates the strength of the preference. Calves showed a preference for long versus chopped hay (cp  = 14.5; P  = 0.004), and for hay versus straw (cp  = 38.9; P = 0.004), both of which improve rumen function. Long hay may stimulate chewing more than chopped hay, and the preference for hay versus straw could be related to hedonic characteristics. No preference was found for chopped versus long straw (cp  = 20.8; P = 0.910). These results could be used to improve the welfare of calves in production systems; for example, in systems where calves are fed hay along with high energy concentrate, providing long hay instead of chopped could promote roughage intake, rumen development, and rumination. PMID:24558426

  3. Analysis Of Tourism Object Demand In The Pekanbaru City With Travel Cost Method

    Directory of Open Access Journals (Sweden)

    Eriyati

    2017-11-01

    Full Text Available The tourism sector gets attention when world oil prices are decreasing. It can not be denied that during this time the largest contribution of Pekanbaru city revenue from profit-sharing funding comes from the oil and gas sector. Currently Pekanbaru revenue is small from the oil and gas sector as oil prices continue to decline. The existence of Pekanbaru City away from the coast and mountains causing focus on the development of artificial attractions such as Alam Mayang artificial lake Bandar Kayangan Lembah Sari Pekanbaru Mosque and the tomb of the founder of Pekanbaru city. Many people bring families visiting artificial tourist attractions on weekends and holidays.This study aims to determine the factors that affect the demand and economic value of tourist attractions in Kota Pekanbaru with Travel Cost Method. Sampling non probability as much as 100 respondents visitor attraction in Pekanbaru City of population 224896 people with sampling technique using slovin formula data analysis method used in this research is descriptive quantitative method. From the results of research states that the factors that influence the demand for tourist attraction in the city of Pekanbaru is income cost and distance. The economic value of tourism object of Pekanbaru city with cost of travel method is Rp42.679.638.400 per year. This means that the price given by a person to something at a certain place and time with the size of the price specified by time goods or money that will be sacrificed by someone to own or use goods and services in want.

  4. Trouble in the pipeline?

    Energy Technology Data Exchange (ETDEWEB)

    Snieckus, Darius

    2002-10-01

    The author provides a commentary on the political, economic, environmental and social problems facing the proposed 3 billion US dollars Baku-Ceyhan-Tbilisi export pipeline. The 1760 km long pipeline has been designed to carry 1 million b/d of crude oil from the Caspian Sea to Turkey's Mediterranean coast. The pipeline is being constructed by a BP-led consortium made up of Socar, Statoil, Unocal, TPAO, Eni, Itochu, Amerada Hess, TotalFinaElf and BP. (UK)

  5. Can price get the monkey off our back? A meta-analysis of illicit drug demand.

    Science.gov (United States)

    Gallet, Craig A

    2014-01-01

    Because of the increased availability of price data over the past 15 years, several studies have estimated the demand for illicit drugs, providing 462 estimates of the price elasticity. Results from estimating several meta-regressions reveal that these price elasticity estimates are influenced by a number of study characteristics. For instance, the price elasticity differs across drugs, with its absolute value being smallest for marijuana, compared with cocaine and heroin. Furthermore, price elasticity estimates are sensitive to whether demand is modeled in the short-run or the long-run, measures of quantity and price, whether or not alcohol and other illicit drugs are included in the specification of demand, and the location of demand. However, a number of other factors, including the functional form of demand, several specification issues, the type of data and method used to estimate demand, and the quality of the publication outlet, have less influence on the price elasticity. Copyright © 2013 John Wiley & Sons, Ltd.

  6. Job Demands, Job Resources, Burnout, Work Engagement, and Their Relationships: An Analysis Across Sectors.

    Science.gov (United States)

    Van den Broeck, Anja; Elst, Tinne Vander; Baillien, Elfi; Sercu, Maarten; Schouteden, Martijn; De Witte, Hans; Godderis, Lode

    2017-04-01

    The aim of this study was to gain insight in the importance of job demands and resources and the validity of the Job Demands Resources Model across sectors. We used one-way analyses of variance to examine mean differences, and multi-group Structural Equation Modeling analyses to test the strength of the relationships among job demands, resources, burnout, and work engagement across the health care, industry, service, and public sector. The four sectors differed in the experience of job demands, resources, burnout, and work engagement, but they did not vary in how (strongly) job demands and resources associated with burnout and work engagement. More attention is needed to decrease burnout and increase work engagement, particularly in industry, service, and the public sector. The Job Demands-Resources model may be helpful in this regard, as it is valid across sectors.

  7. AN ANALYSIS OF DOMESTIC AND EXPORT DEMAND FOR U.S. COTTON

    OpenAIRE

    Marseli, Oussama; Epperson, James E.

    2002-01-01

    Expansion of the cotton industry depends on economic growth. Models were specified to estimate U.S. domestic and export demand with and without structural change. The results indicate that domestic demand increases with per capita GDP and decreases with rising oil prices. U.S. export demand for cotton expands with lower beginning stocks in the rest of the world and rising per capita income.

  8. Conflitos ambientais: uma análise da assimetria de poder entre os atores sociais envolvidos no caso do Mineroduto da Ferrous / Environmental conflict: an analysis of power asymmetry between social actors involved in the case of Ferrous Pipeline

    Directory of Open Access Journals (Sweden)

    Dayane Rouse Neves Sousa

    2015-12-01

    Full Text Available This work intends to present the environmental conflict initiated due to the installation of pipeline Ferrous Ressources S / A, in the micro region of Viçosa-MG, building an analysis of the positioning of the main social actors involved, as well as their respective relations of power. Thepipeline of Ferrous will connect the complex Beam Mine in Congonhas-MG, the port of Ferrous Ressources in Presidente Kennedy-ES in order to export iron ore. To do so, were used as methodological procedures: bibliographical research; document analysis; semi-structured interviews with different actors; and follow-up meetings of the Popular Campaign Against the Water and Pipeline Ferrous, public hearings and demonstrations taken place in the Viçosa. Furthermore, there was monitoring of the pipeline discussion in local newspapers and on blogs. Thus, this study demonstrated that the Ferrous company, which owns high economic and symbolic power, assumes the role of dominating the conflict. On the other hand, those affected and social movements against the construction of the project, are sometimes in the role of dominated, leaving them to articulate strategies of resistance to delay / stop the construction of the pipeline. The state, in turn, assumes different roles in this context, demonstrating thereby weakness in mediation and conflict management established by pipeline Ferrous mainly in the micro region of Viçosa-MG.

  9. Demand analysis of flood insurance by using logistic regression model and genetic algorithm

    Science.gov (United States)

    Sidi, P.; Mamat, M. B.; Sukono; Supian, S.; Putra, A. S.

    2018-03-01

    Citarum River floods in the area of South Bandung Indonesia, often resulting damage to some buildings belonging to the people living in the vicinity. One effort to alleviate the risk of building damage is to have flood insurance. The main obstacle is not all people in the Citarum basin decide to buy flood insurance. In this paper, we intend to analyse the decision to buy flood insurance. It is assumed that there are eight variables that influence the decision of purchasing flood assurance, include: income level, education level, house distance with river, building election with road, flood frequency experience, flood prediction, perception on insurance company, and perception towards government effort in handling flood. The analysis was done by using logistic regression model, and to estimate model parameters, it is done with genetic algorithm. The results of the analysis shows that eight variables analysed significantly influence the demand of flood insurance. These results are expected to be considered for insurance companies, to influence the decision of the community to be willing to buy flood insurance.

  10. Performance Analysis of Stop-Skipping Scheduling Plans in Rail Transit under Time-Dependent Demand.

    Science.gov (United States)

    Cao, Zhichao; Yuan, Zhenzhou; Zhang, Silin

    2016-07-13

    Stop-skipping is a key method for alleviating congestion in rail transit, where schedules are sometimes difficult to implement. Several mechanisms have been proposed and analyzed in the literature, but very few performance comparisons are available. This study formulated train choice behavior estimation into the model considering passengers' perception. If a passenger's train path can be identified, this information would be useful for improving the stop-skipping schedule service. Multi-performance is a key characteristic of our proposed five stop-skipping schedules, but quantified analysis can be used to illustrate the different effects of well-known deterministic and stochastic forms. Problems in the novel category of forms were justified in the context of a single line rather than transit network. We analyzed four deterministic forms based on the well-known A/B stop-skipping operating strategy. A stochastic form was innovatively modeled as a binary integer programming problem. We present a performance analysis of our proposed model to demonstrate that stop-skipping can feasibly be used to improve the service of passengers and enhance the elasticity of train operations under demand variations along with an explicit parametric discussion.

  11. Performance Analysis of Stop-Skipping Scheduling Plans in Rail Transit under Time-Dependent Demand

    Directory of Open Access Journals (Sweden)

    Zhichao Cao

    2016-07-01

    Full Text Available Stop-skipping is a key method for alleviating congestion in rail transit, where schedules are sometimes difficult to implement. Several mechanisms have been proposed and analyzed in the literature, but very few performance comparisons are available. This study formulated train choice behavior estimation into the model considering passengers’ perception. If a passenger’s train path can be identified, this information would be useful for improving the stop-skipping schedule service. Multi-performance is a key characteristic of our proposed five stop-skipping schedules, but quantified analysis can be used to illustrate the different effects of well-known deterministic and stochastic forms. Problems in the novel category of forms were justified in the context of a single line rather than transit network. We analyzed four deterministic forms based on the well-known A/B stop-skipping operating strategy. A stochastic form was innovatively modeled as a binary integer programming problem. We present a performance analysis of our proposed model to demonstrate that stop-skipping can feasibly be used to improve the service of passengers and enhance the elasticity of train operations under demand variations along with an explicit parametric discussion.

  12. Research on Connection and Function Reliability of the Oil&Gas Pipeline System

    Directory of Open Access Journals (Sweden)

    Xu Bo

    2017-01-01

    Full Text Available Pipeline transportation is the optimal way for energy delivery in terms of safety, efficiency and environmental protection. Because of the complexity of pipeline external system including geological hazards, social and cultural influence, it is a great challenge to operate the pipeline safely and reliable. Therefore, the pipeline reliability becomes an important issue. Based on the classical reliability theory, the analysis of pipeline system is carried out, then the reliability model of the pipeline system is built, and the calculation is addressed thereafter. Further the connection and function reliability model is applied to a practical active pipeline system, with the use of the proposed methodology of the pipeline system; the connection reliability and function reliability are obtained. This paper firstly presented to considerate the connection and function reliability separately and obtain significant contribution to establish the mathematical reliability model of pipeline system, hence provide fundamental groundwork for the pipeline reliability research in the future.

  13. Application of risk assessment techniques to 'major hazard' pipelines

    Energy Technology Data Exchange (ETDEWEB)

    Cox, R A

    1982-12-01

    A risk analysis for a hazardous-material pipeline (carrying LPG, ammonia, or high-pressure gas) is presented. The analysis gives results in a form that will assist the decisionmaker in pipeline planning and route selection. The large inventory of hazardous materials in such pipelines means that risks exist even though the accident record of pipeline transportation compares favorably with that for competing modes of transport. Risk analysis techniques - commonly used in the civil aviation, nuclear, and process industries - can be equally well applied to pipelines and can produce results that not only give a measure of the risk but also indicate the principal sources of risk and possible areas for improvement. A number of pipeline risk analyses have demonstrated the viability of the technique and its usefulness as an aid to practical engineering in design, planning, and maintenance/repair phases.

  14. An analysis of the thickness influence in performance and structural integrity of gas pipelines; Um estudo sobre a influencia de rigidez de dutos no desempenho e na integridade de gasodutos

    Energy Technology Data Exchange (ETDEWEB)

    Pinto, Waldir T.; Pinto, Rosa Irene T. [Fundacao Universidade Federal do Rio Grande (FURG), RS (Brazil)

    2004-07-01

    This work presents an analysis on the influence of the changes on pipe rigidity on the safety of buried gas pipelines. The work consists of the adoption of a parameter defined by the ratio between the wall thickness and the diameter of the pipe to assess the pipeline structural performance under several loading conditions, such as internal pressure, external pressure, external loading, longitudinal analysis, and corrosion. Results for a 14 inches pipe with wall thicknesses of 5.6 mm, 7.1 mm, and 7.9 mm are presented for each one of the loading conditions. These results show that for most cases a small increase in the wall thickness leads to significant increase of the pipeline safety. This suggests that in many cases the adoption of wall thicker than them minimum thickness suggested by technical codes present a better cost/benefit relation. (author)

  15. On the Distance Dependence of the Price Elasticity of Telecommunications Demand; Meta-analysis, and Alternative Theoretical Backgrounds

    NARCIS (Netherlands)

    Ouwersloot, Hans; Rietveld, Piet

    1997-01-01

    The positive correlation between the absolute price elasticity of telecommunications demand and the distance of the calling relation is well known. In this paper we first present a meta-analysis of existing studies to buttress the distance dependence empirically. The analysis confirms the existence

  16. Photo-electrochemical analysis of passive film formed on X80 pipeline steel in bicarbonate/carbonate buffer solution

    Energy Technology Data Exchange (ETDEWEB)

    Li, D.G. [School of Materials Science and Engineering, Xi' an Jiaotong University, Xi' an 710049 (China); Tubular Goods Research Center of CNPC, Xi' an 710065 (China)], E-mail: dangguoli78@yahoo.com.cn; Feng, Y.R.; Bai, Z.Q. [Tubular Goods Research Center of CNPC, Xi' an 710065 (China); Zhu, J.W.; Zheng, M.S. [School of Materials Science and Engineering, Xi' an Jiaotong University, Xi' an 710049 (China)

    2008-02-28

    Photo-electrochemical measurement was used to explore the formation potential, formation time, chloride ions concentration, applied potential and pH value of the solution on the electronic property of passive film formed on X80 pipeline steel in 1 M NaHCO{sub 3}/0.5 M Na{sub 2}CO{sub 3} buffer solution. The results showed that the photocurrent is positive, indicating an n-type semiconductor character of the passive film, the photocurrent increased with increasing the formation potential, prolonging the formation time, decreasing chloride ions concentration, rising applied potential and decreasing the pH value of the solution. Capacitance measurement exhibited a positive slope of Mott-Schottky plot, and the slopes of Mott-Schottky plots increased with the increasing formation potential, showing a decrement of the donor density of the passive film.

  17. Chechnya: the pipeline front

    Energy Technology Data Exchange (ETDEWEB)

    Anon,

    1999-11-01

    This article examines the impact of the Russian campaign against Chechnya on projects for oil and gas pipelines from the new Caspian republics, which are seeking financial support. Topics discussed include the pipeline transport of oil from Azerbaijan through Chechnya to the Black Sea, the use of oil money to finance the war, the push for non-Russian export routes, the financing of pipelines, the impact of the war on the supply of Russian and Turkmenistan gas to Turkey, the proposed construction of the Trans Caspian pipeline, the weakening of trust between Russia and its neighbours, and the potential for trans Caucasus republics to look to western backers due to the instability of the North Caucasus. (UK)

  18. National Pipeline Mapping System

    Data.gov (United States)

    Department of Transportation — The NPMS Public Map Viewer allows the general public to view maps of transmission pipelines, LNG plants, and breakout tanks in one selected county. Distribution and...

  19. The Winfrith effluent pipeline

    International Nuclear Information System (INIS)

    Palmer, G.H.

    1959-11-01

    The paper describes the preparatory work leading up to the design of the Winfrith pipeline. Details of the existing system are given and some information on the predicted safe levels of radio-active discharge. (author)

  20. Seismic vulnerability of natural gas pipelines

    International Nuclear Information System (INIS)

    Lanzano, Giovanni; Salzano, Ernesto; Santucci de Magistris, Filippo; Fabbrocino, Giovanni

    2013-01-01

    This work deals with the analysis of the interaction of earthquakes with pipelines transporting and distributing natural gas for industrial and civil use. To this aim, a new large data-set of seismic information classified on the basis of selected seismological, geotechnical and structural parameters is presented and analyzed. Particular attention is devoted to continuous pipelines under strong ground shaking, which is the geotechnical effect due to passage of waves in soil. Results are provided in terms of the likelihood of the loss of containment with respect to Peak Ground Velocity (PGV), a seismic intensity parameter which may be easily retrieved either from local authorities and public databases or from site dependent hazard analysis. Fragility functions and seismic intensity threshold values for the failure and for the loss of containment of gas from pipeline systems are also given. The obtained functions can be easily implemented in existing codes and guidelines for industrial risk assessment, land-use planning, and for the design of public distribution network, with specific reference to Natural—Technological interaction (Na-Tech). -- Highlights: • The seismic vulnerability of natural gas pipelines is analyzed. • A collection of data for pipelines damaged by earthquake is given. • Damage states and risk states for pipelines are defined. • Consequence-based fragility formulations for the loss of containment are given • Seismic threshold values for public authority, risk assessment and gas distribution are shown

  1. Short- and long-run elasticities of gasoline demand in India. An empirical analysis using cointegration techniques

    International Nuclear Information System (INIS)

    Ramanathan, R.

    1999-01-01

    In developing countries like India, consumption of petroleum products has implications on its balance of payments, economic growth and fiscal deficit. Gasoline is one of the prime petroleum products. In this paper, the relationship between gasoline demand, national income and price of gasoline is empirically examined using cointegration and error correction techniques. The time frame of the analysis is from 1972-1973 to 1993-1994. It has been found that gasoline demand is likely to increase significantly for a given increase in the gross domestic product. The increase will be larger in the long-run (2.682) than in the short-run (1.178). Gasoline demand is relatively inelastic to price changes, both in the long and short terms. The error correction model has shown that gasoline demand adjusts to their respective long-run equilibrium at a relatively slow rate, with about 28% of adjustment taking place in the first year. 23 refs

  2. Analysis of unavailability related to demand failures as a function of the testing interval

    International Nuclear Information System (INIS)

    Carretero, J.A.; Pereira, M.B.; Perez Lobo, E.M.

    1998-01-01

    The unavailability related to the demand failure of a component is the sum of the contributions of the failures in demand and in waiting. An important point in PSAs is the calculation of unavailabilities of the basic events of demand failure. Several criteria are used for this, with the objective of simplifying said quantification. The information available from two nuclear power plants has been analysed, in order to determine the tendency in the models in demand and in waiting, as a function of the test intervals, the following conclusions were obtained: - There is a clear tendency for the possibility of failure in demand to increase as the interval between tests increases - The test intervals considered in PSAs are not always coherent with the estimates of real demand; this implies a penalty when using the in waiting model, due to the underlying conservatism Therefore, increasing the intervals between tests over time (a tendency studied in nuclear power plants)could cause demand due to tests to b e significantly less than that due to real actuations. This implies a need to apply test intervals based on historic demands and not on those due to historic tests, in order to avoid conservatism. (Author)

  3. A meta-analysis of the price elasticity of gasoline demand. A SUR approach

    NARCIS (Netherlands)

    Brons, M.R.E.; Nijkamp, P.; Pels, E.; Rietveld, P.

    2008-01-01

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In

  4. A Meta-analysis of the Price Elasticity of Gasoline Demand. A System of Equations Approach

    NARCIS (Netherlands)

    Brons, Martijn; Nijkamp, Peter; Pels, Eric; Rietveld, Piet

    2006-01-01

    Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership. In

  5. Research in the Netherlands on system integration. Analysis of supply and demand

    International Nuclear Information System (INIS)

    Van Werhoven, M.; Bruel, R.

    2000-07-01

    Results of studies on integrated systems can contribute to the realization of sustainability targets of the Dutch government. In this report an overview is given of the supply-side and the demand-side of energy-related research on system integration. Also, recommendations to improve the coordination between supply and demand are given. 14 refs

  6. Academic Demands Are Associated with Reduced Alcohol Consumption by College Students: Evidence from a Daily Analysis

    Science.gov (United States)

    Butler, Adam B.; Spencer, Desiree; Dodge, Kama

    2011-01-01

    There is little empirical evidence linking academic demands or rigor to alcohol consumption by college students. In a 3-week daily study of full-time college students at a public, residential campus in the United States, both current day and next day's academic demands were negatively related to alcohol consumption, and these relationships were…

  7. A multigroup analysis of the job demands-resources model in four home care organizations

    NARCIS (Netherlands)

    Bakker, A.B.; Demerouti, E.; Taris, A.W. (Toon); Schaufeli, W.B.; Schreurs, Paul J.G.

    2003-01-01

    The job demands-resources (JD-R) model was tested in a study among 3,092 employees working in 1 of 4 different home care organizations. The central assumption in the model is that burnout develops when certain job demands are high and when job resources are limited because such negative working

  8. time-series analysis of nigeria rice supply and demand: error ...

    African Journals Online (AJOL)

    O. Ojogho Ph.D

    the two series have been changing which may continue for longer time than foreseen {Figure (1c)}. Figure (c) shows a forecast of rice supply and demand for Nigeria. It shows that beyond 2010, rice supply will permanently lead rice demand. This indicates that they either have time-varying means, time-varying variances or ...

  9. Ethane supply and demand

    International Nuclear Information System (INIS)

    Jamerson, J.B.

    1993-01-01

    Estimates are given for ethane production, chiefly from the Gulf Coast area. Increase in interregional transfers are predicted. Comparisons from 1992 through 1995 are made. The author concludes the following: ethane will be supply limited over the decade of the 90's; values will be over competing feedstocks; minimum practical demands will be close to available supply; regional relationships will reflect pipeline tariffs; purity ethane/EP spreads may narrow with new Mt. Belvieu fractionation capacity; new domestic supplies will back out imports; and Ethane's share of ethylene production may drop over the period

  10. Religion, Ethnicity and Geography: A Cross-Cultural Analysis of Demand for Education in Ghana

    DEFF Research Database (Denmark)

    Blunch, Niels-Hugo

    2003-01-01

    Most cross-cultural research of demand behavior is focused at cross-country studies. For Sub-Saharan Africa, however, the fact that the borders were more or less arbitrarily drawn by the colonial powers suggests that demand behavior - including the demand for education - in this context are more...... affected by within country factors such as ethnicity, geographical location and religion. On this premise, we analyze the demand for education in Ghana from a cross-cultural perspective. A substantial share of Ghanaian youth and young adults has never attended school. As education is an important vehicle...... for economic development this is (or should be) a point of concern to both the national government and international development organizations. On this background, this study analyzes the demand for education in Ghana to try to understand the main factors underlying this. The focus is on cross...

  11. THE ANALYSIS OF THE COMPREHENSIVE INSURANCE DEMAND FOR TURKEY USING UTILITY THEORY AND SYSTEM SIMULATION

    Directory of Open Access Journals (Sweden)

    Murat KIRKAĞAÇ

    2017-03-01

    Full Text Available In this study, the demand for comprehensive insurance is analysed using utility theory and system simulation. A simulation study is performed to assess the behaviour of individuals with different income levels for the demand of comprehensive insurance. Simulation assumptions and input-output variables are determined using the real data set from a Turkish insurance company and the report about the insurance activities in Turkey for year 2014. The effects of income level, expected claim severity and premium level on the demand for insurance are investigated. It is concluded that while an increase in income level and expected claim severity causes an increase in the demand, an increase in premium level causes a decrease in the demand.

  12. Pipelines to eastern Canada

    International Nuclear Information System (INIS)

    Otsason, J.

    1998-01-01

    This presentation focused on four main topics: (1) the existing path of pipelines to eastern Canada, (2) the Chicago hub, (3) transport alternatives, and (4) the Vector Pipeline' expansion plans. In the eastern Canadian market, TransCanada Pipelines dominates 96 per cent of the market share and is effectively immune to expansion costs. Issues regarding the attractiveness of the Chicago hub were addressed. One attractive feature is that the Chicago hub has access to multiple supply basins including western Canada, the Gulf Coast, the mid-continent, and the Rockies. Regarding Vector Pipelines' future plans, the company proposes to construct 343 miles of pipeline from Joliet, Illinois to Dawn, Ontario. Project description included discussion of some of the perceived advantages of this route, namely, extensive storage in Michigan and south-western Ontario, the fact that the proposed pipeline traverses major markets which would mitigate excess capacity concerns, arbitrage opportunities, cost effective expansion capability reducing tolls, and likely lower landed costs in Ontario. Project schedule, costs, rates and tariffs are also discussed. tabs., figs

  13. Rimonabant reduces the essential value of food in the genetically obese Zucker rat: an exponential demand analysis.

    Science.gov (United States)

    Rasmussen, Erin B; Reilly, William; Buckley, Jessica; Boomhower, Steven R

    2012-02-01

    Research on free-food intake suggests that cannabinoids are implicated in the regulation of feeding. Few studies, however, have characterized how environmental factors that affect food procurement interact with cannabinoid drugs that reduce food intake. Demand analysis provides a framework to understand how cannabinoid blockers, such as rimonabant, interact with effort in reducing demand for food. The present study examined the effects rimonabant had on demand for sucrose in obese Zucker rats when effort to obtain food varied and characterized the data using the exponential ("essential value") model of demand. Twenty-nine male (15 lean, 14 obese) Zucker rats lever-pressed under eight fixed ratio (FR) schedules of sucrose reinforcement, in which the number of lever-presses to gain access to a single sucrose pellet varied between 1 and 300. After behavior stabilized under each FR schedule, acute doses of rimonabant (1-10mg/kg) were administered prior to some sessions. The number of food reinforcers and responses in each condition was averaged and the exponential and linear demand equations were fit to the data. These demand equations quantify the value of a reinforcer by its sensitivity to price (FR) increases. Under vehicle conditions, obese Zucker rats consumed more sucrose pellets than leans at smaller fixed ratios; however, they were equally sensitive to price increases with both models of demand. Rimonabant dose-dependently reduced reinforcers and responses for lean and obese rats across all FR schedules. Data from the exponential analysis suggest that rimonabant dose-dependently increased elasticity, i.e., reduced the essential value of sucrose, a finding that is consistent with graphical depictions of normalized demand curves. Copyright © 2011 Elsevier Inc. All rights reserved.

  14. Analysis of the electricity supply-demand balance for the winter period 2009-2010

    International Nuclear Information System (INIS)

    2009-10-01

    Every year, RTE conducts a prospective study of the balance between supply and demand for electricity for the coming winter period, covering the whole of mainland France. This period of the year is looked at closely, primarily due to the high levels of electricity demand seen during cold snaps. The study by RTE is used to identify periods where the supply-demand balance comes under strain; it explores the measures that can be taken by electricity market players and RTE to avoid any interruption in supply during peak demand periods in France. RTE is responsible for managing the balance between supply and demand for electricity in mainland France, in real time. To do this, it anticipates potential risks that may supply may come under strain - well in advance - and informs market players. If periods are identified where the supply-demand balance comes under strain, RTE works with the electricity generators to look at possible ways of altering the schedules for shutting down generating units, and takes account of the possibilities for demand response (load reduction) reported by suppliers. As a last resort, if these preemptive measures prove insufficient and the situation becomes critical, RTE alerts the government of the risk that supply will be interrupted, and takes action in real time to limit the impact on the power system. For temperatures close to seasonal norms, the forecast outlook for the electricity supply-demand balance appears significantly less favourable than last winter until the end of January. Imports could be required between mid-November 2009 and the end of January 2010, to cover electricity demand in France and satisfy the technical security margin stipulated by RTE. To do this, suppliers would have to look to the European markets, in addition to activating demand response (load reduction) possibilities with their customer portfolios. In the event of an intense and sustained spell of cold weather, the technical limit for imports into the French

  15. Money Demand in Latvia

    OpenAIRE

    Ivars Tillers

    2004-01-01

    The econometric analysis of the demand for broad money in Latvia suggests a stable relationship of money demand. The analysis of parameter exogeneity indicates that the equilibrium adjustment is driven solely by the changes in the amount of money. The demand for money in Latvia is characterised by relatively high income elasticity typical for the economy in a monetary expansion phase. Due to stability, close fit of the money demand function and rapid equilibrium adjustment, broad money aggreg...

  16. Capital-Energy Substitution and Shifts in Factor Demand. A Meta-Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Koetse, M.J. [Department of Spatial Economics, Vrije Universiteit Amsterdam (Netherlands); De Groot, Henri L.F. [Tinbergen Institute, Amsterdam (Netherlands); Florax, R.J.G.M. [Department of Agricultural Economics, Purdue University, West Lafayette (United States)

    2006-07-01

    This paper presents results of a meta-regression analysis on empirical estimates of capital-energy substitution. Theoretically it is clear that a distinction should be made between Morishima substitution elasticities and cross-price elasticities. The former represent purely technical substitution possibilities while the latter include an income effect and therefore represent economic substitution potential. We estimate a meta-regression model with separate coefficients for the two elasticity samples. Our findings suggest that primary model assumptions on returns to scale, technological change and separability of input factors matter for the outcome of a primary study. Aggregation of variables and the type of data used in empirical research are also relevant sources of systematic effect-size variation. Taking these factors into consideration, we compute ideal-typical elasticities for the short, medium and long run. The resulting figures clearly show that substitution elasticities are substantially higher than cross price elasticities. Therefore, despite considerable technical opportunities for capital-energy substitution, they are almost entirely outweighed by the negative income effect brought about by energy price increases; the short and medium run cross price elasticities are not statistically different from zero. In the long run this pattern does not hold. Our findings therefore suggest that actual changes in the demand for capital due to energy price increases take time.

  17. Geospatial Analysis of the Building Heat Demand and Distribution Losses in a District Heating Network

    Directory of Open Access Journals (Sweden)

    Tobias Törnros

    2016-11-01

    Full Text Available The district heating (DH demand of various systems has been simulated in several studies. Most studies focus on the temporal aspects rather than the spatial component. In this study, the DH demand for a medium-sized DH network in a city in southern Germany is simulated and analyzed in a spatially explicit approach. Initially, buildings are geo-located and attributes obtained from various sources including building type, ground area, and number of stories are merged. Thereafter, the annual primary energy demand for heating and domestic hot water is calculated for individual buildings. Subsequently, the energy demand is aggregated on the segment level of an existing DH network and the water flow is routed through the system. The simulation results show that the distribution losses are overall the highest at the end segments (given in percentage terms. However, centrally located pipes with a low throughflow are also simulated to have high losses. The spatial analyses are not only useful when addressing the current demand. Based on a scenario taking into account the refurbishment of buildings and a decentralization of energy production, the future demand was also addressed. Due to lower demand, the distribution losses given in percentage increase under such conditions.

  18. Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration

    International Nuclear Information System (INIS)

    Amusa, Hammed; Amusa, Kafayat; Mabugu, Ramos

    2009-01-01

    Electricity demand in South Africa has grown at a very rapid rate over the past decade. As part of reform initiatives to enhance long-term sustainability of the country's electricity industry, South Africa's authorities have in recent years sought to develop an electricity pricing framework that is cost reflective and forms the cornerstone of demand management schemes meant to foster changes in consumption behaviour and enhance efficiency in resource use. The effects of any pricing policy on aggregate electricity consumption will depend on a useful understanding of the factors that influence electricity demand, and the magnitude to which electricity demand responds to changes in such factors. In this context, this paper applies the bounds testing approach to cointegration within an autoregressive distributed lag framework to examine the aggregate demand for electricity in South Africa during the period 1960-2007. The results indicate that in the long run, income is the main determinant of electricity demand. With electricity prices having an insignificant effect on aggregate electricity demand, future pricing policies will need to ensure that electricity prices are cost reflective and enhance efficiency of electricity supply and use.

  19. Aggregate demand for electricity in South Africa: An analysis using the bounds testing approach to cointegration

    Energy Technology Data Exchange (ETDEWEB)

    Amusa, Hammed; Mabugu, Ramos [Financial and Fiscal Commission, Private Bag X69, Halfway Gardens, 1685 Midrand (South Africa); Amusa, Kafayat [Department of Economics, University of South Africa, P.O. Box 392, UNISA 0003 (South Africa)

    2009-10-15

    Electricity demand in South Africa has grown at a very rapid rate over the past decade. As part of reform initiatives to enhance long-term sustainability of the country's electricity industry, South Africa's authorities have in recent years sought to develop an electricity pricing framework that is cost reflective and forms the cornerstone of demand management schemes meant to foster changes in consumption behaviour and enhance efficiency in resource use. The effects of any pricing policy on aggregate electricity consumption will depend on a useful understanding of the factors that influence electricity demand, and the magnitude to which electricity demand responds to changes in such factors. In this context, this paper applies the bounds testing approach to cointegration within an autoregressive distributed lag framework to examine the aggregate demand for electricity in South Africa during the period 1960-2007. The results indicate that in the long run, income is the main determinant of electricity demand. With electricity prices having an insignificant effect on aggregate electricity demand, future pricing policies will need to ensure that electricity prices are cost reflective and enhance efficiency of electricity supply and use. (author)

  20. Analysis and design of a Taguchi-Grey based electricity demand predictor for energy management systems

    International Nuclear Information System (INIS)

    Yao, Albert W.L.; Chi, S.C.

    2004-01-01

    In order to use electricity efficiently, a demand control management system is one of the effective ways to reduce energy consumption and electric bills. An electricity demand control system is used as a means to monitor and manage the usage of electricity effectively. Moreover, it is a useful tool for avoiding penalties beyond the contracted demand value of electricity with the electric power company. In this project, we developed a Taguchi-Grey based predictor to forecast the demand value of electricity on line. In a Grey prediction, the parameter settings are highly relevant to the accuracy of forecasting. A Taguchi method was employed to optimize the parameter settings for the Grey based electricity demand value predictor. Our experimental results show that the optimal parameter settings of the Grey prediction are α=0.4, five point modeling and three minute sampling time of the data acquisition system. The improved Taguchi-Grey based electricity demand predictor in conjunction with the PC based electricity demand control system is a cost effective and efficient means to manage the usage of electricity