The Argo NOC: Combining TDM and GALS

DEFF Research Database (Denmark)

Kasapaki, Evangelia; Sparsø, Jens

2015-01-01

Argo is a network-on-chip developed for use in a multi-core platform designed specifically for hard real-time applications and it supports message passing across virtual end-to-end channels. Argo implements these channels using time-division-multiplexing (TDM) of the resources in the NOC following...

Water demand management in Mediterranean regions

OpenAIRE

Giulio Querini; Salvo Creaco

2005-01-01

Water sustainability needs a balance between demand and availability: 1) Water demand management: demand may be managed by suppliers and regulations responsible persons, using measures like invoicing, consumptions measurement and users education in water conservation measures; 2) Augmentation of water supply: availibility may be augmented by infrastructural measures, waste water reuse, non-conventional resources and losses reduction. Water Demand Management is about achieving a reduction in t...

Clinical efficacy and safety of T-DM1 for patients with HER2-positive breast cancer

Directory of Open Access Journals (Sweden)

Ma B

2016-02-01

Full Text Available Bo Ma,1 Qianqian Ma,2 Hongqiang Wang,3 Guolei Zhang,1 Huiying Zhang,1 Xiaohong Wang1 1Affiliated Central Hospital of Huzhou Teachers College, Huzhou, Zhejiang, People’s Republic of China; 2University Hospital of Tuebingen, Tuebingen, Germany; 3Department of Oncology, Hospital of Zhoushan, Zhoushan, Zhejiang, People’s Republic of China Purpose: The aim of this study was to evaluate the therapeutic efficacy and safety of trastuzumab emtansine (T-DM1 for the treatment of patients with human epidermal growth factor receptor 2-positive breast cancer.  Methods: We performed a systemic review and meta-analysis of the relevant published clinical studies. A computerized search was performed for controlled clinical trials of T-DM1 in targeted treatment. Overall survival, progression-free survival, objective response rate, symptom progression free, and adverse events (AEs were evaluated.  Results: Eight eligible trials with a total of 2,016 patients with breast cancer were included in the present meta-analysis. The treatment of patients with breast cancer with T-DM1 was associated with significantly increased overall and progression-free survival when compared with controls (P<0.0001. An analysis of the objective response rate and symptom progression free also demonstrated favorable results for T-DM1 treatment (P≤0.0001. There was no significant difference between the T-DM1 and control groups with respect to nonhematologic or hematologic AEs (P=0.99 and P=0.30, respectively.  Conclusion: Overall, T-DM1 is efficacious in the treatment of patients with human epidermal growth factor receptor 2-positive breast cancer and low rates of AEs compared with controls. Keywords: breast cancer, meta-analysis, HER2, T-DM1, efficacy

O2 -independent demethylation of trimethylamine N-oxide by Tdm of Methylocella silvestris.

Science.gov (United States)

Zhu, Yijun; Ksibe, Amira Z; Schäfer, Hendrik; Blindauer, Claudia A; Bugg, Timothy D H; Chen, Yin

2016-11-01

Bacterial trimethylamine N-oxide (TMAO) demethylase, Tdm, carries out an unusual oxygen-independent demethylation reaction, resulting in the formation of dimethylamine and formaldehyde. In this study, site-directed mutagenesis, homology modelling and metal analyses by inorganic mass spectrometry have been applied to gain insight into metal stoichiometry and underlying catalytic mechanism of Tdm of Methylocella silvestris BL2. Herein, we demonstrate that active Tdm has 1 molar equivalent of Zn 2+ and 1 molar equivalent of non-haem Fe 2+ . We further investigated Zn 2+ - and Fe 2+ -binding sites through homology modelling and site-directed mutagenesis and found that Zn 2+ is coordinated by a 3-sulfur-1-O motif. An aspartate residue (D198) likely bridges Fe 2+ and Zn 2+ centres, either directly or indirectly via H-bonding through a neighbouring H 2 O molecule. H276 contributes to Fe 2+ binding, mutation of which results in an inactive enzyme, and the loss of iron, but not zinc. Site-directed mutagenesis of Tdm also led to the identification of three hydrophobic aromatic residues likely involved in substrate coordination (F259, Y305, W321), potentially through a cation-π interaction. Furthermore, a crossover experiment using a substrate analogue gave direct evidence that a trimethylamine-alike intermediate was produced during the Tdm catalytic cycle, suggesting TMAO has a dual role of being both a substrate and an oxygen donor for formaldehyde formation. Together, our results provide novel insight into the role of Zn 2+ and Fe 2+ in the catalysis of TMAO demethylation by this unique oxygen-independent enzyme. © 2016 The Authors. The FEBS Journal published by John Wiley & Sons Ltd on behalf of Federation of European Biochemical Societies.

Dynamic Bandwidth Allocation with Effective Utilization of Polling Interval over WDM/TDM PON

Science.gov (United States)

Ni, Cuiping; Gan, Chaoqin; Gao, Ziyue

2014-12-01

WDM/TDM (wavelength-division multiplexing/time-division multiplexing) PON (passive optical network) appears to be an attractive solution for the next generation optical access networks. Dynamic bandwidth allocation (DBA) plays a crucial role in efficiently and fairly allocating the bandwidth among all users in WDM/TDM PON. In this paper, two dynamic bandwidth allocation schemes (DBA1 and DBA2) are proposed to eliminate the idle time of polling cycles (i.e. polling interval), improve bandwidth utilization and make full use of bandwidth resources. The two DBA schemes adjust the time slot of sending request information and make fair scheduling among users to achieve the effective utilization of polling interval in WDM/TDM PON. The simulation and theoretical analyses verify that the proposed schemes outperform the conventional DBA scheme. We also make comparisons between the two schemes in terms of bandwidth utilization and average packet delay to further demonstrate the effectiveness of the scheme of DBA2.

An area-efficient network interface for a TDM-based Network-on-Chip

DEFF Research Database (Denmark)

Sparsø, Jens; Kasapaki, Evangelia; Schoeberl, Martin

2013-01-01

used by the routers and links in the NOC. The paper addresses the design of a NI for a NOC that uses time division multiplexing (TDM). By keeping the essence of TDM in mind, we have developed a new area-efficient NI micro-architecture. The new design completely eliminates the need for FIFO buffers...... and credit based flow control - resources which are reported to account for 50–85% of the area in existing NI designs. The paper discusses the design considerations, presents the new NI micro-architecture, and reports area figures for a range of implementations....

Massive WDM and TDM Soliton Transmission Systems : a ROSC Symposium

CERN Document Server

2002-01-01

This book summarizes the proceedings of the invited talks presented at the “International Symposium on Massive TDM and WDM Optical Soliton Tra- mission Systems” held in Kyoto during November 9–12, 1999. The symposium is the third of the series organized by Research Group for Optical Soliton C- munications (ROSC) chaired by Akira Hasegawa. The research group, ROSC, was established in Japan in April 1995 with a support of the Japanese Ministry of Post and Telecommunications to promote collaboration and information - change among communication service companies, communication industries and academic circles in the theory and application of optical solitons. The symposium attracted enthusiastic response from worldwide researchers in the field of soliton based communications and intensive discussions were made. In the symposium held in 1997, new concept of soliton transmission based on dispersion management of optical fibers were presented. This new soliton is now called the dispersion managed soliton. The p...

Preclinical safety profile of trastuzumab emtansine (T-DM1): Mechanism of action of its cytotoxic component retained with improved tolerability

Energy Technology Data Exchange (ETDEWEB)

Poon, Kirsten Achilles, E-mail: achilles.kirsten@gene.com [Genentech, Inc., South San Francisco, CA (United States); Flagella, Kelly; Beyer, Joseph [Genentech, Inc., South San Francisco, CA (United States); Tibbitts, Jay [UCB, Brussels (Belgium); Kaur, Surinder; Saad, Ola; Yi, Joo-Hee; Girish, Sandhya; Dybdal, Noel; Reynolds, Theresa [Genentech, Inc., South San Francisco, CA (United States)

2013-12-01

Trastuzumab emtansine (T-DM1) is the first antibody-drug conjugate (ADC) approved for patients with human epidermal growth factor receptor 2 (HER2)-positive metastatic breast cancer. The therapeutic premise of ADCs is based on the hypothesis that targeted delivery of potent cytotoxic drugs to tumors will provide better tolerability and efficacy compared with non-targeted delivery, where poor tolerability can limit efficacious doses. Here, we present results from preclinical studies characterizing the toxicity profile of T-DM1, including limited assessment of unconjugated DM1. T-DM1 binds primate ErbB2 and human HER2 but not the rodent homolog c-neu. Therefore, antigen-dependent and non-antigen-dependent toxicity was evaluated in monkeys and rats, respectively, in both single- and repeat-dose studies; toxicity of DM1 was assessed in rats only. T-DM1 was well tolerated at doses up to 40 mg/kg (∼ 4400 μg DM1/m{sup 2}) and 30 mg/kg (∼ 6000 μg DM1/m{sup 2}) in rats and monkeys, respectively. In contrast, DM1 was only tolerated up to 0.2 mg/kg (1600 μg DM1/m{sup 2}). This suggests that at least two-fold higher doses of the cytotoxic agent are tolerated in T-DM1, supporting the premise of ADCs to improve the therapeutic index. In addition, T-DM1 and DM1 safety profiles were similar and consistent with the mechanism of action of DM1 (i.e., microtubule disruption). Findings included hepatic, bone marrow/hematologic (primarily platelet), lymphoid organ, and neuronal toxicities, and increased numbers of cells of epithelial and phagocytic origin in metaphase arrest. These adverse effects did not worsen with chronic dosing in monkeys and are consistent with those reported in T-DM1-treated patients to date. - Highlights: • T-DM1 was well tolerated in preclinical studies in rats and cynomolgus monkeys. • T-DM1 is associated with bone marrow/hematologic, hepatic, and neuronal toxicities. • T-DM1 toxicities are related to DM1 mechanisms of action and pharmacologic

A novel survivable architecture for hybrid WDM/TDM passive optical networks

Science.gov (United States)

Qiu, Yang; Chan, Chun-Kit

2014-02-01

A novel tree-ring survivable architecture, which consists of an organization of a wavelength-division-multiplexing (WDM) tree from optical line terminal (OLT) to remote nodes (RNs) and a time division multiplexing (TDM) ring in each RN, is proposed for hybrid WDM/TDM passive optical networks. By utilizing the cyclic property of arrayed waveguide gratings (AWGs) and the single-ring topology among a group of optical network units (ONUs) in the remote node, not only the feeder and distribution fibers, but also any fiber failures in the RN rings are protected simultaneously. Five-Gbit/s transmissions under both normal working and protection modes were experimentally demonstrated and a traffic restoration time was successfully measured.

TDM in psychiatry and neurology: A comprehensive summary of the consensus guidelines for therapeutic drug monitoring in neuropsychopharmacology, update 2017; a tool for clinicians.

Science.gov (United States)

Schoretsanitis, Georgios; Paulzen, Michael; Unterecker, Stefan; Schwarz, Markus; Conca, Andreas; Zernig, Gerald; Gründer, Gerhard; Haen, Ekkerhard; Baumann, Pierre; Bergemann, Niels; Clement, Hans Willi; Domschke, Katharina; Eckermann, Gabriel; Egberts, Karin; Gerlach, Manfred; Greiner, Christine; Havemann-Reinecke, Ursula; Hefner, Gudrun; Helmer, Renate; Janssen, Ger; Jaquenoud-Sirot, Eveline; Laux, Gerd; Messer, Thomas; Mössner, Rainald; Müller, Matthias J; Pfuhlmann, Bruno; Riederer, Peter; Saria, Alois; Schoppek, Bernd; Silva Gracia, Margarete; Stegmann, Benedikt; Steimer, Werner; Stingl, Julia C; Uhr, Manfred; Ulrich, Sven; Waschgler, Roland; Zurek, Gabriela; Hiemke, Christoph

2018-04-01

Therapeutic drug monitoring (TDM) combines the quantification of drug concentrations in blood, pharmacological interpretation and treatment guidance. TDM introduces a precision medicine tool in times of increasing awareness of the need for personalized treatment. In neurology and psychiatry, TDM can guide pharmacotherapy for patient subgroups such as children, adolescents, pregnant women, elderly patients, patients with intellectual disabilities, patients with substance use disorders, individuals with pharmacokinetic peculiarities and forensic patients. Clear indications for TDM include lack of clinical response in the therapeutic dose range, assessment of drug adherence, tolerability issues and drug-drug interactions. Based upon existing literature, recommended therapeutic reference ranges, laboratory alert levels, and levels of recommendation to use TDM for dosage optimization without specific indications, conversion factors, factors for calculation of dose-related drug concentrations and metabolite-to-parent ratios were calculated. This summary of the updated consensus guidelines by the TDM task force of the Arbeitsgemeinschaft für Neuropsychopharmakologie und Pharmakopsychiatrie offers the practical and theoretical knowledge for the integration of TDM as part of pharmacotherapy with neuropsychiatric agents into clinical routine. The present guidelines for TDM application for neuropsychiatric agents aim to assist clinicians in enhancing safety and efficacy of treatment.

On Channel Estimation for OFDM/TDM Using MMSE-FDE in a Fast Fading Channel

Directory of Open Access Journals (Sweden)

Gacanin Haris

2009-01-01

Full Text Available Abstract MMSE-FDE can improve the transmission performance of OFDM combined with time division multiplexing (OFDM/TDM, but knowledge of the channel state information and the noise variance is required to compute the MMSE weight. In this paper, a performance evaluation of OFDM/TDM using MMSE-FDE with pilot-assisted channel estimation over a fast fading channel is presented. To improve the tracking ability against fast fading a robust pilot-assisted channel estimation is presented that uses time-domain filtering on a slot-by-slot basis and frequency-domain interpolation. We derive the mean square error (MSE of the channel estimator and then discuss a tradeoff between improving the tracking ability against fading and the noise reduction. The achievable bit error rate (BER performance is evaluated by computer simulation and compared with conventional OFDM. It is shown that the OFDM/TDM using MMSE-FDE achieves a lower BER and a better tracking ability against fast fading in comparison with conventional OFDM.

Communication technologies for demand side management

Energy Technology Data Exchange (ETDEWEB)

Uuspaeae, P [VTT Energy, Espoo (Finland)

1998-08-01

The scope of this research is data communications for electric utilities, specifically for the purposes of Demand Side Management (DSM). Demand Side Management has the objective to change the customer`s end use of energy in a manner that benefits both the customer and the utility. For example, peak demand may be reduced, and the peak demand may be relocated to off peak periods. Thus additional investments in generation and network may be avoided. A number of Demand Side Management functions can be implemented if a communication system is available between the Electric Utility and the Customer. The total communication capacity that is needed, will depend on several factors, such as the functions that are chosen for DSM, and on the number and type of customers. Some functions may be handled with one-way communications, while some other functions need to have two-way communication

Water Demand Management Policy Brief No

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

Bob Stanley

Water demand management ― WDM ― can be hard to define. More an issue of policy than of technology, it is about managing and moderating our demands for good quality fresh water. It is less a matter of piping and pumps and more a tool ...

Two-dimensional priority-based dynamic resource allocation algorithm for QoS in WDM/TDM PON networks

Science.gov (United States)

Sun, Yixin; Liu, Bo; Zhang, Lijia; Xin, Xiangjun; Zhang, Qi; Rao, Lan

2018-01-01

Wavelength division multiplexing/time division multiplexing (WDM/TDM) passive optical networks (PON) is being viewed as a promising solution for delivering multiple services and applications. The hybrid WDM / TDM PON uses the wavelength and bandwidth allocation strategy to control the distribution of the wavelength channels in the uplink direction, so that it can ensure the high bandwidth requirements of multiple Optical Network Units (ONUs) while improving the wavelength resource utilization. Through the investigation of the presented dynamic bandwidth allocation algorithms, these algorithms can't satisfy the requirements of different levels of service very well while adapting to the structural characteristics of mixed WDM / TDM PON system. This paper introduces a novel wavelength and bandwidth allocation algorithm to efficiently utilize the bandwidth and support QoS (Quality of Service) guarantees in WDM/TDM PON. Two priority based polling subcycles are introduced in order to increase system efficiency and improve system performance. The fixed priority polling subcycle and dynamic priority polling subcycle follow different principles to implement wavelength and bandwidth allocation according to the priority of different levels of service. A simulation was conducted to study the performance of the priority based polling in dynamic resource allocation algorithm in WDM/TDM PON. The results show that the performance of delay-sensitive services is greatly improved without degrading QoS guarantees for other services. Compared with the traditional dynamic bandwidth allocation algorithms, this algorithm can meet bandwidth needs of different priority traffic class, achieve low loss rate performance, and ensure real-time of high priority traffic class in terms of overall traffic on the network.

Synchronization Algorithm for SDN-controlled All-Optical TDM Switching in a Random Length Ring Network

DEFF Research Database (Denmark)

Kamchevska, Valerija; Cristofori, Valentina; Da Ros, Francesco

2016-01-01

We propose and demonstrate an algorithm that allows for automatic synchronization of SDN-controlled all-optical TDM switching nodes connected in a ring network. We experimentally show successful WDM-SDM transmission of data bursts between all ring nodes.......We propose and demonstrate an algorithm that allows for automatic synchronization of SDN-controlled all-optical TDM switching nodes connected in a ring network. We experimentally show successful WDM-SDM transmission of data bursts between all ring nodes....

Improving Water Demand Management Addressing Socioeconomic ...

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

2012-01-20

Jan 20, 2012 ... Efforts to conserve water by improving water demand management policies in the Middle East and North Africa are often slowed or even thwarted by a lack of political consensus and support for water demand management from key powerful stakeholders with vested interest in the status quo. This policy ...

Improving Water Demand Management Addressing Socioeconomic ...

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

Efforts to conserve water by improving water demand management policies in the Middle East and North Africa are often slowed or even thwarted by a lack of political consensus and support for water demand management from key powerful stakeholders with vested interest in the status quo. This policy brief based on ...

T-DM1, a novel antibody–drug conjugate, is highly effective against primary HER2 overexpressing uterine serous carcinoma in vitro and in vivo

International Nuclear Information System (INIS)

English, Diana P; Bellone, Stefania; Schwab, Carlton L; Bortolomai, Ileana; Bonazzoli, Elena; Cocco, Emiliano; Buza, Natalia; Hui, Pei; Lopez, Salvatore; Ratner, Elena; Silasi, Dan-Arin; Azodi, Masoud; Schwartz, Peter E; Rutherford, Thomas J; Santin, Alessandro D

2014-01-01

Amplification of c-erbB2 has been reported in over 30% of uterine serous carcinoma (USC) and found to confer poor survival because of high proliferation and increased resistance to therapy. In this study, we evaluated for the first time Trastuzumab emtansine (T-DM1), a novel antibody–drug conjugate, against multiple epidermal growth factor receptor-2 (HER2)-positive USC cells in vitro followed by developing a supportive in vivo model. Fifteen primary USC cell lines were assessed by immunohistochemistry (IHC) and flow cytometry for HER2 protein expression. C-erbB2 gene amplification was evaluated using fluorescent in situ hybridization. Sensitivity to T-DM1 and trastuzumab (T)-induced antibody-dependent cell-mediated cytotoxicity was evaluated in 5-h chromium release assays. T-DM1 and T cytostatic and apoptotic activities were evaluated using flow-cytometry-based proliferation assays. In vivo activity of T-DM1 versus T in USC xenografts in SCID mice was also evaluated. High levels of HER2 protein overexpression and HER2 gene amplification were detected in 33% of USC cell lines. T-DM1 was considerably more effective than trastuzumab in inhibiting cell proliferation and in causing apoptosis (P = 0.004) of USC showing HER2 overexpression. Importantly, T-DM1 was highly active at reducing tumor formation in vivo in USC xenografts overexpressing HER2 (P = 0.04) and mice treated with TDM-1 had significantly longer survival when compared to T-treated mice and control mice (P ≤ 0.0001). T-DM1 shows promising antitumor effect in HER2-positive USC cell lines and USC xenografts and its activity is significantly higher when compared to T. T-DM1 may represent a novel treatment option for HER2-positive USC patients with disease refractory to trastuzumab and traditional chemotherapy

Province gets serious about demand management

International Nuclear Information System (INIS)

Anon

2003-01-01

Directives from the Minister to the Ontario Energy Board to review options for demand-side management and demand reduction activities, and discussion papers describing the policy framework needed to implement demand management, are indications of renewed interest by the provincial government in demand-side management of Ontario's electric power supply. This renewed interest comes on the hills of a 5.5 per cent increase in electricity use, a 33 per cent increase in imports, and consumption records broken in 10 of the last 12 months. A 117-page study was released in April by Navigant Consulting, entitled 'Demand response blueprint for Ontario' which estimates that if the Ontario market had 250 MW of additional demand response, customers providing the demand response would have saved $20 million by reducing their demand when HOEP was greater than $120/MWh, while other customers would have saved $170 million due to lower HOEP, and would have enjoyed greater reliability as a result of the increase in reserve margins. Other than price signals to induce customers to save, the Navigant report suggest paying customers not to consume during peak periods. The report estimates that such a policy could generate a total demand response of 350 MW and a $235 million reduction in revenue to generators. The Navigan report also includes a large number of detailed analysis and recommendations. One among them is for the extensive use of interval meters for customers with loads over 200 kW. The report tends to be critical of the recent price freeze ordered by the Ontario government, claiming that the freeze could increase consumption, making prices more volatile and increasing the cost to the government even more. Successful demand response programs from California, New York and the New England states are cited as examples for Ontario to emulate

Analizar el rendimiento de los receptores en una red TDM/WDM pon (red óptica pasiva)

OpenAIRE

Romero Chafla, Luis Fernando

2016-01-01

The rapid increase of Internet users deserve transmission rates higher data rates and greater capacity in terms of number of users. However, this should be achieved at a reasonable cost. TDM (Time Division Multiplexing) and WDM (Wavelength Division Multiplexing) technologies are most used. TDM allows us to offer extend services to many users (sacrificing bandwidth), low speed, at a reasonable cost. WDM meanwhile has the capacity to serve a greater number of users and provide higher transmissi...

Synchronization in a Random Length Ring Network for SDN-Controlled Optical TDM Switching

DEFF Research Database (Denmark)

Kamchevska, Valerija; Cristofori, Valentina; Da Ros, Francesco

2016-01-01

. In addition, we propose a novel synchronization algorithm that enables automatic synchronization of software defined networking controlled all-optical TDM switching nodes connected in a ring network. Besides providing synchronization, the algorithm also can facilitate dynamic slot size change and failure......In this paper we focus on optical time division multiplexed (TDM) switching and its main distinguishing characteristics compared with other optical subwavelength switching technologies. We review and discuss in detail the synchronization requirements that allow for proper switching operation...... detection. We experimentally validate the algorithm behavior and achieve correct operation for three different ring lengths. Moreover, we experimentally demonstrate data plane connectivity in a ring network composed of three nodes and show successful wavelength division multiplexing space division...

Effect of demand management on regulated and deregulated electricity sectors

International Nuclear Information System (INIS)

Fahrioglu, Murat

2016-01-01

Our society derives a quantifiable benefit from electric power. In particular, forced outages or blackouts have enormous consequences on society, one of which is loss of economic surplus. The society relies on having a continuous supply of electrical energy. Some customers may willingly risk this continuous supply and participate in demand management programs for electrical power. If the power system grid is in trouble, electric utilities need to have demand relief. Customers willing to reduce their demand to help the system can receive an incentive fee for helping the utilities. Demand relief can be system wide or location specific. Sometimes it can be more effective to fix the electrical demand vs. supply imbalance from the demand side. The value of demand management contracts is greatly affected by customer location. Inclusion of locational attributes into the contract design procedure increases the effectiveness of the contracts by helping a utility get more value from its demand management programs. Independent System Operators and regulators, among others, can also benefit from effective demand management. This paper will investigate how this type of demand management contracts can help the electricity sector both in regulated and deregulated environments. - Highlights: • Demand management can help prevent forced electricity outages. • Both electric utilities and ISOs can use demand management. • Regulated and deregulated electricity sectors can benefit from demand management. • Demand management contracts can be effectively used in power system grids.

PETRA. The Travel Demand Module - Estimation and Validation. PETRA working paper no. 7

Energy Technology Data Exchange (ETDEWEB)

NONE

1998-09-01

The Travel Demand Module (TDM) is one of the more significant elements within the PETRA system. The TDM consists of a number of discrete sub-models that attempt to represent individual and household behaviour in a number of areas, including licence holding, an cohort effects, changes in the extent and composition of the car fleet, and mode and destination choice. The Chain Choice model uses the measure of accessibility, the logsum, derived from the mode and destination choice models, in addition to socio-demographic variables to explain chain choice. This model is an extension of the idea underlying the traditional frequency model, and has been inspired, in part, by the developments in activity based modelling. (EG) EFP-94. 20 refs.

History of demand side management and classification of demand response control schemes

NARCIS (Netherlands)

Lampropoulos, I.; Kling, W.L.; Ribeiro, P.F.; Berg, van den J.

2013-01-01

The scope of this paper is to provide a review on the topic of demand side management. A historical overview provides a critical insight to applied cases, while the discovery of new evidence calls for reconsideration of the design of demand response control schemes. The developments at the demand

Preliminary guidelines for electricity distributor conservation and demand management activities : a guide for conservation and demand management investment

International Nuclear Information System (INIS)

2004-01-01

In May 2004, electricity distributors in Ontario were asked to submit deferral accounts to the Ontario Energy Board to track expenditures on conservation and demand management initiatives. The deferral accounts must be established before the distributor could recover the costs through the next installment of the allowable return on equity in March 2004. The Board will determine the appropriateness of the actual expenditures. These guidelines offer short-term assistance to distributors in establishing conservation and demand management plans and initiatives. The following specific measures may be supported by the Board: energy efficiency; operational changes to smart control systems; load management measures which facilitate interruptible and dispatchable loads, dual fuel applications, thermal storage and demand response; fuel switching measures; programs targeted to low income and hard to reach consumers; and, distributed energy options such as tri-generation, cogeneration, ground source heat pumps, wind and biomass systems. These guidelines described the regulatory treatment of conservation and demand management investments along with cost effectiveness, allocation of costs, monitoring, evaluation, and implementation. 1 appendix

A new architecture and MAC protocol for fully flexible hybrid WDM/TDM PON

NARCIS (Netherlands)

Das, G.; Lannoo, B.; Jung, H.D.; Koonen, A.M.J.; Colle, D.; Pickavet, M.; Demeester, P.

2009-01-01

In this paper we propose a novel architecture and MAC protocol for a scalable, cost effective WDM / TDM PON providing fully flexible dynamic bandwidth allocation for upstream and downstream data transmission.

Demand chain management - The evolution

Directory of Open Access Journals (Sweden)

D Ericsson

2011-06-01

Full Text Available The concepts of Supply Chain Management (SCM and Demand Chain Management (DCM are among the new and debated topics concerning logistics in the literature. The question considered in this paper is: “Are these concepts needed or will they just add to the confusion?” Lasting business concepts have always evolved in close interaction between business and academia. Different approaches start out in business and they are then, more or less si- multaneously, aligned, integrated, systemised and structured in academia. In this way a terminology (or language is provided that helps in further diffusion of the concepts. There is a lack of consensus on the definition of the concept of SCM. This may be one of the major reasons for the difficulty in advancing the science and measuring the results of implementation in business. Relationships in SCM span from rather loose coalitions to highly structured virtual network integrations. DCM is a highly organised chain in which the key is mutual interdependence and partnership. The purpose is to create a distinctive competence for the chain as a whole that helps to identify and satisfy customer needs and wishes. The classical research concerning vertical marketing systems is very helpful in systemising the rather unstructured discussions in current SCM research. The trend lies in increasing competition between channels rather than between companies, which in turn leads to the creation of channels with a high degree of partnership and mutual interdependence between members. These types of channels are known as organised vertical marketing systems in the classic marketing channel research. The behaviour in these types of channels, as well as the formal and informal structures, roles in the network, power and dependence relations, etc. are well covered topics in the literature. The concept of vertical marketing systems lies behind the definition of demand chains and demand chain management proposed in this paper. A

Imaging HER2 in response to T-DM1 therapy in breast cancer xenografts

Energy Technology Data Exchange (ETDEWEB)

Massicano, Adriana Vidal; Aweda, Tolulope; Marqueznostra, Bernadette; El Sayed, Reeta; Beacham, Rebecca; Lapi, Suzanne [University Of Alabama, Birmingham, AL (United States)

2017-07-01

Full text: Introduction: Monoclonal antibodies (mAbs) have become broadly used for the treatment of cancer because they can be engineered to bind specifically to the target and therefore typically have less toxicity compared to broad spectrum chemotherapies (Jauw YWS, Menke-van der Houven van Oordt CW, Hoekstra OS, et al. Front Pharmacol 2016, 7:1-15). Ado-trastuzumab emtansine (TDM1) is a newly approved HER2 targeted therapy which consists of a cytotoxic agent (DM1) linked to trastuzumab and has shown promising results in patients with HER2 positive metastatic breast cancer (Barok MT, Köninki M, Isola K et al. Breast Cancer Res 2011, 13:1465-5411). Although {sup 18}F-FDG is considered the gold standard in the diagnosis and staging of various types of cancer, it is a relatively non-specific marker (Janjigian YY, Viola-Villegas N, Holland JP, Divilov V, Carlin SD et al. J Nucl Med 2013;54:936-43). Alternatively, {sup 89}Zr-Pertuzumab which binds to a different epitope than trastuzumab on the HER2 receptor has shown high selectively in imaging variations in HER2 expression in breast cancer xenograft models (Marquez BV, Ikotun OF, Zheleznyak A, Wright B et al. Mol Pharm 2014;11:3988-95). Therefore, in this work, we investigated the specificity of {sup 89}Zr-Pertuzumab compared to {sup 18}F-FDG to identify early response to ado-trastuzumab emtansine (T-DM1) in a breast cancer xenograft model. Methods: Pertuzumab was conjugated top-NCS-Bz-DFO at varying molar ratios and labeled with {sup 89}Zr in different conditions. The optimal conditions were used in further in vitro and in vivo studies. In vivo PET imaging was conducted in nude female mice implanted with 17β-estradiol pellets and inoculated with 1 x 107 BT-474 HER2 positive breast cancer cells. In order to acquire baseline images, mice were injected via tail-vein with 200 μCi of 18F-FDG and imaged after 1 hour. The following day, they were injected with 100 μCi of {sup 89}Zr-Pertuzumab (20 μCi/μg) imaged 5

Expansive hematoma in delayed cerebral radiation necrosis in patients treated with T-DM1: a report of two cases

International Nuclear Information System (INIS)

Mitsuya, Koichi; Watanabe, Junichiro; Nakasu, Yoko; Hayashi, Nakamasa; Harada, Hideyuki; Ito, Ichiro

2016-01-01

Multiple new targeted agents have been developed for patients with human epidermal growth factor receptor type 2 (HER2) – positive breast cancer. Patients with HER2– positive breast cancer will develop brain metastases with greater incidence than patients with non-HER2 cancers, and many of them will undergo stereotactic radiosurgery (SRS) or other CNS radiotherapy. The interaction between radiation effects and new targeted agents is not well understood. We report two cases suggesting a novel adverse effect of T-DM1 (trastuzumab emtansine) on symptomatic enlargement of radiation necrosis (RN) after SRS. Two patients with HER2-positive breast cancer had received SRS for single brain metastasis more than 5-years ago. They had been heavily treated for HER2-positive metastatic breast cancer (trastuzumab and pacritaxel, lapatinib and capecitabine). They initiated T-DM1 therapy for progressive systematic disease 5.5 years after stereotactic irradiation, when a small RN was recognized on brain MR images of each patient. The RN lesions increased in size and became symptomatic during 13 or 14 months of T-DM1 treatment. The patients underwent surgical resection of the lesion. Pathological examination revealed necrosis, hematoma, granulation tissue and telangiectasia without neoplastic cells. A potential enhancement of RN by T-DM1 in the brain may be one of important adverse events associated with the use of T-DM1 for patients after SRS. These cases highlight the need of careful follow-up when combining new systemic targeted therapies and SRS for brain metastases

Applying demand side management using a generalised grid supportive approach

NARCIS (Netherlands)

Blaauwbroek, N.; Nguyen, H.P.; Slootweg, J.G.

2017-01-01

Demand side management is often seen as a promising tool for distribution network operators to mitigate network operation limit violations. Many demand side management applications have been proposed, each with their own objectives and methodology. Quite often, these demand side management

Demand management in Multi-Stage Distribution Chain

NARCIS (Netherlands)

de Kok, T.; Janssen, F.B.S.L.P.

1996-01-01

In this paper we discuss demand management problems in a multi-stage distribution chain.We focus on distribution chains where demand processes have high variability due to a few large customer orders.We give a possible explanation, and suggest two simple procedures that help to smooth demand.It is

Institutions for Effective Water Demand Management

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

2010-12-14

Dec 14, 2010 ... The paper also describes the state of South African WDM to highlight ... Download the PDF: Working Paper 4: Institutions for Effective Water Demand Management ​ ... Managing flood risk through collaborative governance.

Demand management implementation in Southeast Asia

Energy Technology Data Exchange (ETDEWEB)

Tanaboriboon, Y.

1995-12-31

The need to apply transportation system management, to developing countries is urgent. Attempts to alleviate severe traffic congestion in their metropolises have so far failed to provide adequate solutions. The countries are faced with many difficulties because of the lack of sufficient financial resources together with their complex internal administrative and political problems. They are incapable of providing sufficient road space to cope with the escalating demand in private automobiles. This has led to excessive delays in urban traveling, environmental pollution problems, decline of road-based public transit services and deterioration of the quality of life in these metropolises. Demand management, in use for decades in the Western world, has also been recognized in Singapore`s famous area licensing scheme (ALS) making other Southeast Asian Metropolises aware of its advantages as an alternative in solving their chaotic traffic problems. However, realization is far different from implementation and still many metropolises are not able to apply the technique. Singapore and Thailand, two leaders among many other Southeast Asian regions in economics, tourism, trade and industry handle their problems far differently, especially the traffic congestion problem. While a number of demand management schemes have been implemented successfully in Singapore since 1975, Bangkok is still struggling to implement such measures to alleviate severe traffic congestion problems. This article intends to high light the successful practices and unsuccessful attempts of demand management techniques applied in Singapore and Bangkok.

Promotional materials clearinghouse, year 5 final report 2001-2002

Science.gov (United States)

2002-10-01

The Promotional Materials Clearinghouse is a participant-driven undertaking. All materials currently archived at the Clearinghouse were solicited from transit systems and transportation demand management (TDM) agencies nationwide with marketing manag...

Flexible Demand Management under Time-Varying Prices

Science.gov (United States)

Liang, Yong

In this dissertation, the problem of flexible demand management under time-varying prices is studied. This generic problem has many applications, which usually have multiple periods in which decisions on satisfying demand need to be made, and prices in these periods are time-varying. Examples of such applications include multi-period procurement problem, operating room scheduling, and user-end demand scheduling in the Smart Grid, where the last application is used as the main motivating story throughout the dissertation. The current grid is experiencing an upgrade with lots of new designs. What is of particular interest is the idea of passing time-varying prices that reflect electricity market conditions to end users as incentives for load shifting. One key component, consequently, is the demand management system at the user-end. The objective of the system is to find the optimal trade-off between cost saving and discomfort increment resulted from load shifting. In this dissertation, we approach this problem from the following aspects: (1) construct a generic model, solve for Pareto optimal solutions, and analyze the robust solution that optimizes the worst-case payoffs, (2) extend to a distribution-free model for multiple types of demand (appliances), for which an approximate dynamic programming (ADP) approach is developed, and (3) design other efficient algorithms for practical purposes of the flexible demand management system. We first construct a novel multi-objective flexible demand management model, in which there are a finite number of periods with time-varying prices, and demand arrives in each period. In each period, the decision maker chooses to either satisfy or defer outstanding demand to minimize costs and discomfort over a certain number of periods. We consider both the deterministic model, models with stochastic demand or prices, and when only partial information about the stochastic demand or prices is known. We first analyze the stochastic

GreenCommute: the Nortel Networks Transportation Demand Management (TDM) Program

Energy Technology Data Exchange (ETDEWEB)

Lewinson, S [Transport Canada, Ottawa, ON (Canada)

2001-07-01

The structural elements and the environmental benefits to the employer, the employees and the community of the 'GreenCommute' program, designed by Nortel Networks and negotiated with the City of Ottawa, the National Capital Commission, and OC Transpo (the regional transportation authority), are described. The program is designed to mitigate congestion, minimize infrastructure requirements, minimize parking area requirements and to act as a pilot program for the region. The Program was designed after extensive consultation with employees. Some 87 per cent of those who responded (40 per cent response rate) expressed willingness to try a commuting alternative, including walking, cycling and car-pooling. A program is complete with a comprehensive 'GreenCoummute' website for up-to-date information, an efficient ride-matching system based on postal code, highly visible support for alternative commuting including lighted signage for all walking, cycling, transit and car-pooling information at the main entrance to the Nortel Campus, and a one-month free pass for transit riders from OC Transpo. Mid-year 2000 results indicated that the GreenCommute program was well on its way to achieve targeted objectives for 2000. Experience to-date indicate that the program is well appreciated by employees, but there is an ongoing need to market the program by varied promotion and positive messaging.

QoS support over ultrafast TDM optical networks

Science.gov (United States)

Narvaez, Paolo; Siu, Kai-Yeung; Finn, Steven G.

1999-08-01

HLAN is a promising architecture to realize Tb/s access networks based on ultra-fast optical TDM technologies. This paper presents new research results on efficient algorithms for the support of quality of service over the HLAN network architecture. In particular, we propose a new scheduling algorithm that emulates fair queuing in a distributed manner for bandwidth allocation purpose. The proposed scheduler collects information on the queue of each host on the network and then instructs each host how much data to send. Our new scheduling algorithm ensures full bandwidth utilization, while guaranteeing fairness among all hosts.

Demand Management Based on Model Predictive Control Techniques

Directory of Open Access Journals (Sweden)

Yasser A. Davizón

2014-01-01

Full Text Available Demand management (DM is the process that helps companies to sell the right product to the right customer, at the right time, and for the right price. Therefore the challenge for any company is to determine how much to sell, at what price, and to which market segment while maximizing its profits. DM also helps managers efficiently allocate undifferentiated units of capacity to the available demand with the goal of maximizing revenue. This paper introduces control system approach to demand management with dynamic pricing (DP using the model predictive control (MPC technique. In addition, we present a proper dynamical system analogy based on active suspension and a stability analysis is provided via the Lyapunov direct method.

Industrial demand-side management in Canada. In the market for competition

International Nuclear Information System (INIS)

Fleming, A.

1995-01-01

The requirement for demand-side management brought on by increased competitiveness, a consequence of the deregulation of Canadian electric utilities, was discussed. Options for demand-side management were presented. The effect of deregulation on making demand-side management and energy efficiency high priorities in industry was discussed. Coordinated efforts of Power Smart Inc. and utilities in promoting energy efficiency were claimed to be the key to the success of demand-side management in the electric power industry in Canada. Demand-side management programs were expected to enhance productivity of industry by maximizing the value of plant energy use, and by providing industrial customers with a higher level of customer service

[Institutional demands and care demands in the management of nurses in an emergency unit].

Science.gov (United States)

Montezelli, Juliana Helena; Peres, Aida Maris; Bernardino, Elizabeth

2011-01-01

To characterize the registered nurse's management activities in an emergency department. Qualitative research, implemented from February to April 2009 by a semi-structured interview with eight nurses from an emergency department at a university hospital in Curitiba, PR. Brazil. The data was submitted to content analyses. Two categories emerged: Management focused on meeting the institutional demands that emphasizes the Registered Nurses' bureaucratic activities required by the hospital; and Management focused on meeting the nursing care demands that prioritizes the care as the main management activity. The study reached its objective and joined the literature findings that the division between care and management does not match with the registered nurse's performance at an emergency department.

Emerging technologies for demand side management. Demand side management jitsugen no tame no saishin gijutsu

Energy Technology Data Exchange (ETDEWEB)

Suzuki, H; Iyoda, I [Mitsubishi Electric Corp., Tokyo (Japan)

1993-11-05

This paper explains the latest situation in hardware technologies to realize the demand side management, divided into the following technologies: communications technology, measurement technology, client information system technology, load controlling technology, home automation technology, and energy storing and saving technologies. Speaking of the communications technology, information exchange between the supply side and the demand side is important in the demand side management, whereas a technology intended of automatic power distribution and automatic meter-reading is advancing in development. The technology covers transmissions using from power lines and telephone lines to optical cables and wireless communications. Power line communications using power transmission lines as communication lines are simple and economical, but weak against noise, and not suitable for long-distance communications. Wireless communications have been drawing attentions along with the development of mobile communication device technologies. These technologies will give benefits to electric power companies in the initial stage of their use, such as for load investigation and general automation in power distribution. They would shift to benefiting users in about 2010 covering from security information such as about power interruption to publicity information and educations. 8 refs., 8 figs., 1 tab.

OSD1 promotes meiotic progression via APC/C inhibition and forms a regulatory network with TDM and CYCA1;2/TAM.

Science.gov (United States)

Cromer, Laurence; Heyman, Jefri; Touati, Sandra; Harashima, Hirofumi; Araou, Emilie; Girard, Chloe; Horlow, Christine; Wassmann, Katja; Schnittger, Arp; De Veylder, Lieven; Mercier, Raphael

2012-01-01

Cell cycle control is modified at meiosis compared to mitosis, because two divisions follow a single DNA replication event. Cyclin-dependent kinases (CDKs) promote progression through both meiosis and mitosis, and a central regulator of their activity is the APC/C (Anaphase Promoting Complex/Cyclosome) that is especially required for exit from mitosis. We have shown previously that OSD1 is involved in entry into both meiosis I and meiosis II in Arabidopsis thaliana; however, the molecular mechanism by which OSD1 controls these transitions has remained unclear. Here we show that OSD1 promotes meiotic progression through APC/C inhibition. Next, we explored the functional relationships between OSD1 and the genes known to control meiotic cell cycle transitions in Arabidopsis. Like osd1, cyca1;2/tam mutation leads to a premature exit from meiosis after the first division, while tdm mutants perform an aberrant third meiotic division after normal meiosis I and II. Remarkably, while tdm is epistatic to tam, osd1 is epistatic to tdm. We further show that the expression of a non-destructible CYCA1;2/TAM provokes, like tdm, the entry into a third meiotic division. Finally, we show that CYCA1;2/TAM forms an active complex with CDKA;1 that can phosphorylate OSD1 in vitro. We thus propose that a functional network composed of OSD1, CYCA1;2/TAM, and TDM controls three key steps of meiotic progression, in which OSD1 is a meiotic APC/C inhibitor.

Water Demand Management Policy Brief No

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

Bob Stanley

Fair share: Water Demand Management can help provide fair access to water for the poor. Water Policy. Brief no.2 ... management (WDM) can help spread water more equitably, providing a measure of opportunity, security and ... improving health and quality of life for families. WDM measures can improve the efficiency of.

Demand Management in E-Fulfillment

NARCIS (Netherlands)

N.A.H. Agatz (Niels)

2009-01-01

textabstractInternet retailers are in a unique position to adjust, in real-time, the product and service offering to the customer and to change the corresponding prices. Although this flexibility provides a vast potential for demand management to enhance profitability, standard practices and models

Water Demand Management for Social Justice | IDRC - International ...

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

2012-01-18

Jan 18, 2012 ... Water Demand Management for Social Justice ... Women play larger role in Latin America's commercial urban waste management ... the management of solid waste in Latin America, according to research supported by IDRC.

Tapping Alternatives: The Benefits of Managing Urban Water Demands.

Science.gov (United States)

Dziegielewski, Benedykt; Baumann, Duane D.

1992-01-01

Presents the California plan for water demand management. Water conservation techniques are used to balance demand with supply. Discusses the implementation process: (1) water-use and service area analysis; (2) water-use forecasts; (3) benefit-cost analysis; (4) and development of a long-term water management plan. (17 references) (MCO)

Social marketing of alternative transportation modes

DEFF Research Database (Denmark)

Thøgersen, John

Researchers and practitioners working with travel demand management (TDM) seem to be increasingly interested in social marketing as a means for promoting non-car modes of transportation. However, as is true for social marketing in general, there is little clarity of the social marketing approach...... associated with TDM. Hence, it is not surprising that the effectiveness of this means is subject to considerable uncertainty. This chapter outlines the field and definition of social marketing and reviews practical experience and research on social marketing in TDM as a basis for evaluating the usefulness...... of social marketing in this area....

The design of optimal electric power demand management contracts

Science.gov (United States)

Fahrioglu, Murat

1999-11-01

Our society derives a quantifiable benefit from electric power. In particular, forced outages or blackouts have enormous consequences on society, one of which is loss of economic surplus. Electric utilities try to provide reliable supply of electric power to their customers. Maximum customer benefit derives from minimum cost and sufficient supply availability. Customers willing to share in "availability risk" can derive further benefit by participating in controlled outage programs. Specifically, whenever utilities foresee dangerous loading patterns, there is a need for a rapid reduction in demand either system-wide or at specific locations. The utility needs to get relief in order to solve its problems quickly and efficiently. This relief can come from customers who agree to curtail their loads upon request in exchange for an incentive fee. This thesis shows how utilities can get efficient load relief while maximizing their economic benefit. This work also shows how estimated customer cost functions can be calibrated, using existing utility data, to help in designing efficient demand management contracts. In order to design such contracts, optimal mechanism design is adopted from "Game Theory" and applied to the interaction between a utility and its customers. The idea behind mechanism design is to design an incentive structure that encourages customers to sign up for the right contract and reveal their true value of power. If a utility has demand management contracts with customers at critical locations, most operational problems can be solved efficiently. This thesis illustrates how locational attributes of customers incorporated into demand management contract design can have a significant impact in solving system problems. This kind of demand management contracts can also be used by an Independent System Operator (ISO). During times of congestion a loss of economic surplus occurs. When the market is too slow or cannot help relieve congestion, demand management

U.S. electric utility demand-side management 1995

International Nuclear Information System (INIS)

1997-01-01

The US Electric Utility Demand-Side Management report is prepared by the Coal and Electric Data and Renewables Division; Office of Coal, Nuclear, Electric and Alternative Fuels; Energy Information Administration (EIA); US Department of Energy. The report presents comprehensive information on electric power industry demand-side management (DSM) activities in the US at the national, regional, and utility levels. The objective of the publication is to provide industry decision makers, government policy makers, analysts, and the general public with historical data that may be used in understanding DSM as it relates to the US electric power industry. The first chapter, ''Profile: US Electric Utility Demand-Side Management'', presents a general discussion of DSM, its history, current issues, and a review of key statistics for the year. Subsequent chapters present discussions and more detailed data on energy savings, peak load reductions and costs attributable to DSM. 9 figs., 24 tabs

Data model for Demand Side Management

Directory of Open Access Journals (Sweden)

Simona-Vasilica OPREA

2017-08-01

Full Text Available Demand Side Management (DSM is a portfolio of measures to improve the energy system mainly at the consumption level. In this paper we propose a data model for DSM stating from the optimization methods approach in SMARTRADE project from different perspectives of several entities that include: Transmission System Operator (TSO/Distribution System Operators (DSOs perspectives in case of security/reliability concerns: minimum amount of load (or generation shedding; aggregators perspective in case of demand or generation shedding request: Which demand (or generators should be shed?; consumers perspective: load shifting (time-of-use (ToU tariffs and optimum contract strategies with the aggregators (also known as balancing responsible parties- BRP for load shedding.

Cryogenic Propellant Storage and Transfer (CPST) Technology Maturation: Establishing a Foundation for a Technology Demonstration Mission (TDM)

Science.gov (United States)

Doherty, Michael P.; Meyer, Michael L.; Motil, Susan M.; Ginty, Carol A.

2014-01-01

As part of U.S. National Space Policy, NASA is seeking an innovative path for human space exploration, which strengthens the capability to extend human and robotic presence throughout the solar system. NASA is laying the groundwork to enable humans to safely reach multiple potential destinations, including asteroids, Lagrange points, the Moon and Mars. In support of this, NASA is embarking on the Technology Demonstration Mission Cryogenic Propellant Storage and Transfer (TDM CPST) Project to test and validate key cryogenic capabilities and technologies required for future exploration elements, opening up the architecture for large cryogenic propulsion stages (CPS) and propellant depots. The TDM CPST project will provide an on-orbit demonstration of the capability to store, transfer, and measure cryogenic propellants for a duration which is relevant to enable long term human space exploration missions beyond low Earth orbit (LEO). Recognizing that key cryogenic fluid management technologies anticipated for on-orbit (flight) demonstration needed to be matured to a readiness level appropriate for infusion into the design of the flight demonstration, the NASA Headquarters Space Technology Mission Directorate authorized funding for a one-year (FY12) ground based technology maturation program. The strategy, proposed by the CPST Project Manager, focused on maturation through modeling, studies, and ground tests of the storage and fluid transfer Cryogenic Fluid Management (CFM) technology sub-elements and components that were not already at a Technology Readiness Level (TRL) of 5. A technology maturation plan (TMP) was subsequently approved which described: the CFM technologies selected for maturation, the ground testing approach to be used, quantified success criteria of the technologies, hardware and data deliverables, and a deliverable to provide an assessment of the technology readiness after completion of the test, study or modeling activity. This paper will present

Real-Time Demand Side Management Algorithm Using Stochastic Optimization

Directory of Open Access Journals (Sweden)

Moses Amoasi Acquah

2018-05-01

Full Text Available A demand side management technique is deployed along with battery energy-storage systems (BESS to lower the electricity cost by mitigating the peak load of a building. Most of the existing methods rely on manual operation of the BESS, or even an elaborate building energy-management system resorting to a deterministic method that is susceptible to unforeseen growth in demand. In this study, we propose a real-time optimal operating strategy for BESS based on density demand forecast and stochastic optimization. This method takes into consideration uncertainties in demand when accounting for an optimal BESS schedule, making it robust compared to the deterministic case. The proposed method is verified and tested against existing algorithms. Data obtained from a real site in South Korea is used for verification and testing. The results show that the proposed method is effective, even for the cases where the forecasted demand deviates from the observed demand.

Future internet concepts for demand management

CSIR Research Space (South Africa)

Madhoo, H

2015-04-01

Full Text Available research and experimental initiative linked to the Future Internet (TRESCIMO) which facilitates the validity of using these technologies as base for energy demand management. The initiative utilises a philosophy of informing customers about their energy...

Improving Water Demand Management by Addressing ...

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

IDRC CRDI

Efforts to conserve water by improving water demand management policies .... First, ensure fair access to sustainable water supply, as well as, responsible water use. ... Water policy can also mandate reducing the loss of quantity or quality of ...

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

Demand chain management | The evolution | Ericsson | ORiON

African Journals Online (AJOL)

The concepts of Supply Chain Management (SCM) and Demand Chain Management ... Dierent approaches start out in business and they are then, more or less ... The classical research concerning vertical marketing systems is very helpful in ...

Mining residential water and electricity demand data in Southern California to inform demand management strategies

Science.gov (United States)

Cominola, A.; Spang, E. S.; Giuliani, M.; Castelletti, A.; Loge, F. J.; Lund, J. R.

2016-12-01

Demand side management strategies are key to meet future water and energy demands in urban contexts, promote water and energy efficiency in the residential sector, provide customized services and communications to consumers, and reduce utilities' costs. Smart metering technologies allow gathering high temporal and spatial resolution water and energy consumption data and support the development of data-driven models of consumers' behavior. Modelling and predicting resource consumption behavior is essential to inform demand management. Yet, analyzing big, smart metered, databases requires proper data mining and modelling techniques, in order to extract useful information supporting decision makers to spot end uses towards which water and energy efficiency or conservation efforts should be prioritized. In this study, we consider the following research questions: (i) how is it possible to extract representative consumers' personalities out of big smart metered water and energy data? (ii) are residential water and energy consumption profiles interconnected? (iii) Can we design customized water and energy demand management strategies based on the knowledge of water- energy demand profiles and other user-specific psychographic information? To address the above research questions, we contribute a data-driven approach to identify and model routines in water and energy consumers' behavior. We propose a novel customer segmentation procedure based on data-mining techniques. Our procedure consists of three steps: (i) extraction of typical water-energy consumption profiles for each household, (ii) profiles clustering based on their similarity, and (iii) evaluation of the influence of candidate explanatory variables on the identified clusters. The approach is tested onto a dataset of smart metered water and energy consumption data from over 1000 households in South California. Our methodology allows identifying heterogeneous groups of consumers from the studied sample, as well as

Management of Water Demand in Africa and the Middle East ...

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

Management of Water Demand in Africa and the Middle East : Current Practices and Future Needs. Couverture du livre Management of Water Demand in Africa and the Middle East : Current Practices. Directeur(s) : David B. Brooks, Eglal Rached et Maurice Saade. Maison(s) d'édition : CRDI. 1 janvier 1997. ISBN : Épuisé.

Management of Water Demand in Africa and the Middle East ...

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

1997-01-01

Management of Water Demand in Africa and the Middle East : Current Practices and Future Needs. Couverture du livre Management of Water Demand in Africa and the Middle East : Current Practices. Editor(s):. David B. Brooks, Eglal Rached et Maurice Saade. Publisher(s):. CRDI. January 1, 1997. ISBN: Épuisé. 78 pages.

Water Demand Management Policy Brief No

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

Bob Stanley

Water demand management (WDM) programs have been widely implemented across the MENA region and elsewhere, with varying degrees of success. The criteria below are intended to help policymakers determine how best to develop institutions with the capacity and capability to design, implement and monitor WDM ...

Time management behavior as a moderator for the job demand-control interaction

NARCIS (Netherlands)

Peeters, M.A.G.; Rutte, C.G.

2005-01-01

The interaction effects of time management, work demands, and autonomy on burnout were investigated in a survey study of 123 elementary teachers. A 3-way interaction between time management, work demands, and autonomy was hypothesized: The combination of high work demands and low autonomy was

An enhanced DWBA algorithm in hybrid WDM/TDM EPON networks with heterogeneous propagation delays

Science.gov (United States)

Li, Chengjun; Guo, Wei; Jin, Yaohui; Sun, Weiqiang; Hu, Weisheng

2011-12-01

An enhanced dynamic wavelength and bandwidth allocation (DWBA) algorithm in hybrid WDM/TDM PON is proposed and experimentally demonstrated. In addition to the fairness of bandwidth allocation, this algorithm also considers the varying propagation delays between ONUs and OLT. The simulation based on MATLAB indicates that the improved algorithm has a better performance compared with some other algorithms.

Demand Side Management for Multiple Devices

NARCIS (Netherlands)

Molderink, Albert; Bakker, Vincent; Smit, Gerardus Johannes Maria

Steering a heterogeneous set of devices in a Smart Grid using cost functions: Demand Side Management (DSM) is an important element in smart grids. DSM is already in operation for large consumers, but thorough research is required into DSM on a building level within the distribution grid.

A novel microgrid demand-side management system for manufacturing facilities

Science.gov (United States)

Harper, Terance J.

Thirty-one percent of annual energy consumption in the United States occurs within the industrial sector, where manufacturing processes account for the largest amount of energy consumption and carbon emissions. For this reason, energy efficiency in manufacturing facilities is increasingly important for reducing operating costs and improving profits. Using microgrids to generate local sustainable power should reduce energy consumption from the main utility grid along with energy costs and carbon emissions. Also, microgrids have the potential to serve as reliable energy generators in international locations where the utility grid is often unstable. For this research, a manufacturing process that had approximately 20 kW of peak demand was matched with a solar photovoltaic array that had a peak output of approximately 3 KW. An innovative Demand-Side Management (DSM) strategy was developed to manage the process loads as part of this smart microgrid system. The DSM algorithm managed the intermittent nature of the microgrid and the instantaneous demand of the manufacturing process. The control algorithm required three input signals; one from the microgrid indicating the availability of renewable energy, another from the manufacturing process indicating energy use as a percent of peak production, and historical data for renewable sources and facility demand. Based on these inputs the algorithm had three modes of operation: normal (business as usual), curtailment (shutting off non-critical loads), and energy storage. The results show that a real-time management of a manufacturing process with a microgrid will reduce electrical consumption and peak demand. The renewable energy system for this research was rated to provide up to 13% of the total manufacturing capacity. With actively managing the process loads with the DSM program alone, electrical consumption from the utility grid was reduced by 17% on average. An additional 24% reduction was accomplished when the microgrid

Demand side management using profile steering

NARCIS (Netherlands)

Gerards, Marco Egbertus Theodorus; Toersche, Hermen; Hoogsteen, Gerwin; van der Klauw, Thijs; Hurink, Johann L.; Smit, Gerardus Johannes Maria

2015-01-01

Many Demand Side Management (DSM) approaches use energy prices as steering signals. This paper shows that such steering signals may result in power quality problems and high losses. As an alternative, this paper proposes to use desired (e.g., flat) power profiles as steering signals and presents an

Assessing the potential of residential HVAC systems for demand-side management

NARCIS (Netherlands)

van der Klauw, Thijs; Hoogsteen, Gerwin; Gerards, Marco Egbertus Theodorus; Hurink, Johann L.; Feng, Xianyong; Hebner, Robert E.

This paper investigates the potential of residential heating, ventilation and air conditioning systems to contribute to dynamic demand-side management. Thermal models for seven houses in Austin, Texas are developed with the goal of using them in a planning based demand-side management methodology.

Implementation of a demand elasticity model in the building energy management system

NARCIS (Netherlands)

Ożadowicz, A.; Grela, J.; Babar, M.

2016-01-01

Nowadays, crucial part of modern Building Automation and Control Systems (BACS) is electric energy management. An active demand side management is very important feature of a Building Energy Management Systems (BEMS) integrated within the BACS. Since demand value changes in time and depends on

Throughput of Type II HARQ-OFDM/TDM Using MMSE-FDE in a Multipath Channel

Directory of Open Access Journals (Sweden)

Haris Gacanin

2009-01-01

Full Text Available In type II hybrid ARQ (HARQ schemes, the uncoded information bits are transmitted first, while the error correction parity bits are sent upon request. Consequently, frequency diversity cannot be exploited during the first transmission. In this paper, we present the use of OFDM/TDM with MMSE-FDE and type II HARQ to increase throughput of OFDM due to frequency diversity gain.

Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

Energy Technology Data Exchange (ETDEWEB)

Gagnon, Pieter J. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Govindarajan, Anand [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Bird, Lori A. [National Renewable Energy Laboratory (NREL), Golden, CO (United States); Barbose, Galen [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Darghouth, Naim [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, Andrew [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2017-10-24

We study the synergies between behind-the-meter solar and storage in reducing commercial-customer demand charges. This follows two previous studies that examined demand charge savings for stand-alone solar in both the residential and commercial sectors. In this study we show that solar and storage show consistent synergies for demand charge management, that the magnitude of reductions are highly customer-specific, and that the magnitude of savings is influenced by the design of the electricity tariff.

Time management behavior as a moderator for the job demand-control interaction.

Science.gov (United States)

Peeters, Miranda A G; Rutte, Christel G

2005-01-01

The interaction effects of time management, work demands, and autonomy on burnout were investigated in a survey study of 123 elementary teachers. A 3-way interaction between time management, work demands, and autonomy was hypothesized: The combination of high work demands and low autonomy was predicted to lead to burnout for teachers low in time management and not, or to a lesser extent, for those high in time management. This hypothesis is confirmed for emotional exhaustion, the most predictive dimension of teacher burnout, and partly confirmed for the personal accomplishment dimension. Generalizability to other contactual occupations is discussed. ((c) 2005 APA, all rights reserved).

THE CONCEPT OF REFLEXIVE MANAGEMENT OF CONSUMER DEMAND

Directory of Open Access Journals (Sweden)

Maryna Mavrina

2017-11-01

Full Text Available Development of theoretical approaches of demand management is conducted from the moment of awareness of the importance of this concept. Many models of individual consumers were developed. However, to predict the reaction of consumers to the commercial policy of the enterprise, exact methods do not exist yet because the available ones are mostly empirical in nature. Models of behaviour often do not provide the expected result because they use an erroneous approach to the analysis of the mechanism of demand formation. The subject of the research is the theoretical and methodological basis, methods of assessment, and reflexive management of consumer demand of commercial enterprises. The purpose of the paper is developing a concept of reflexive management of consumer demand. To achieve the research goal, the following tasks are set and solved: to substantiate the theoretical and methodological foundations of reflexive consumer management, to analyse existing approaches to the modelling of consumer behaviour; to improve the model of consumer behaviour; to develop a concept of reflexive management of consumer behaviour. Methodology. In the paper, we use such methods and approaches to research as: reflexive approach (phenomenological method, behavioural economic theory, marketing approach, abstract-logical analysis, analysis of theoretical approaches to the modelling of consumer behaviour. Results. Modern approaches to modelling of consumer behaviour are mostly empirical in nature and have shortcomings of general models. In them, there is no description of specific situations of the purchase of goods. They cannot be quantified. Therefore, they cannot be practical models. But they have a weighty advantage in a comprehensive look at motivated purchases, what makes it possible to evaluate the relevance of individual variables and to understand the fundamental processes of consumer behaviour. It makes possible to identify the variables necessary for the

A 10-Year Experience of Therapeutic Drug Monitoring (TDM) of Linezolid in a Hospital-wide Population of Patients Receiving Conventional Dosing: Is there Enough Evidence for Suggesting TDM in the Majority of Patients?

Science.gov (United States)

Pea, Federico; Cojutti, Pier Giorgio; Baraldo, Massimo

2017-10-01

A retrospective study was conducted to assess our 10-year experience of therapeutic drug monitoring (TDM) of linezolid in a large patient population to establish whether conventional dosing may result in adequate drug exposure in the majority of patients. Patients included in this study underwent TDM of linezolid trough concentration (C min ) during treatment with conventional doses of 600 mg every 12 hr in the period between January 2007 and June 2016. The desired range of C min was set between 2 and 7 mg/L (underexposure, C min   7 mg/L). Multivariate logistic regression analysis investigated variables potentially correlated with linezolid C min . One thousand and forty-nine patients had 2484 linezolid C min assessed during treatment with conventional doses. Median (IQR) linezolid C min was 5.08 mg/L (2.78-8.52 mg/L). Linezolid C min was within the desired range in 50.8% of cases (1262/2484). Overexposure (n = 821; 33%) occurred much more frequently than underexposure (n = 401; 16.2%) and was severe (>20 mg/L) in 3.9% of cases (98/2484). Linezolid overexposure was significantly associated with CrCL C -G estimates ≤40 mL/min. (OR 1.463; 95% CI 1.124-1.904, p = 0.005). Linezolid underexposure was significantly associated with CrCL C -G estimates >100 mL/min. (OR 3.046; 95% CI 2.234-4.152, p Linezolid C min was not correlated linearly with CrCL C -G (R 2  = 0.061). Variability in renal function explained only partially the very wide interindividual linezolid C min variability. Our study suggests that TDM could represent a valuable approach in optimizing linezolid exposure in the majority of patients. © 2017 Nordic Association for the Publication of BCPT (former Nordic Pharmacological Society).

Utility of therapeutic drug monitoring in the management of HIV-infected pregnant women in receipt of lopinavir.

LENUS (Irish Health Repository)

Caswell, R J

2011-01-01

The pharmacokinetics of antiretroviral drugs in pregnancy is poorly understood. We reviewed the use of therapeutic drug monitoring (TDM) in clinical settings to document plasma concentrations of lopinavir during pregnancy and investigated how clinicians acted upon TDM results. A retrospective review was carried out of all HIV-infected pregnant women taking boosted lopinavir-based highly active antiretroviral therapy (HAART) at five National Health Service (NHS) centres in the UK between May 2004 and March 2007. Seventy-three women in receipt of lopinavir were identified, of whom 89% had plasma lopinavir concentrations above the suggested minimum recommended for wild-type HIV. Initial TDM results prompted dosage change in 10% and assessment of adherence and\\/or pharmacist review in 11%. TDM was repeated in 29%. TDM can play an important role in the clinical management of HIV-positive pregnant women, allowing informed dose modification and an alternative measure of adherence.

Water brief — Wastewater Reuse for Water Demand Management ...

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

2011-01-04

Jan 4, 2011 ... Water Demand Management (WDM) is a water management approach that aims to ... WDM is simply defined as 'getting the most of the water that we have', while taking into ... Villages in Nepal prepare for weather extremes.

Assessment of utility side financial benefits of demand side management considering environmental impacts

Science.gov (United States)

Abeygunawardane, Saranga Kumudu

2018-02-01

Any electrical utility prefers to implement demand side management and change the shape of the demand curve in a beneficial manner. This paper aims to assess the financial gains (or losses) to the generating sector through the implementation of demand side management programs. An optimization algorithm is developed to find the optimal generation mix that minimizes the daily total generating cost. This daily total generating cost includes the daily generating cost as well as the environmental damage cost. The proposed optimization algorithm is used to find the daily total generating cost for the base case and for several demand side management programs using the data obtained from the Sri Lankan power system. Results obtained for DSM programs are compared with the results obtained for the base case to assess the financial benefits of demand side management to the generating sector.

Marketing demand management in the commercial sector

International Nuclear Information System (INIS)

Fraser, M.E.

1990-01-01

Ontario Hydro has a marketing strategy for designing and implementing demand side management (DSM) programs, which marks a turnaround from previous years when marketing efforts were concentrated on selling electricity. Starting in the 1980s, marketing activities consisted, in effect, of coordinating relations between the customer, the market, and the utility. To achieve a better understanding of the needs of customers, the nature of the energy market, and the utilization of energy, the utility conducted research on the decision-making process associated with consumer choices of energy systems. To develop relations with its clientele in the commercial sector, the utility published an information bulletin and prepared an energy guide. Along with this initiative, the number of energy advisers to the commercial sector was increased in Ontario Hydro's regional offices. To improve understanding of each segment of the commercial market, the utility contacted organizations representing each segment as well as broader based organizations with the objective of creating opportunities to address this market, for example at conferences. Because of this philosophy of satisfying and understanding customer needs, Ontario Hydro has been in the process of commercializing demand-side management. Its high-efficiency lighting program is a good example in this regard. From a strategy which focused on a simple reduction in lighting in the 1970s, the utility has turned toward promoting efficient high-quality lighting which better responds to industry needs, to the point where industry itself has begun to promote the program. Such a strategy benefits industry, customers, and Ontario Hydro's demand-side management programs

A Novel Prosumer-Based Energy Sharing and Management (PESM) Approach for Cooperative Demand Side Management (DSM) in Smart Grid

OpenAIRE

Sohail Razzaq; Rehman Zafar; Naveed Ahmed Khan; Asif Raza Butt; Anzar Mahmood

2016-01-01

Increasing population and modern lifestyle have raised energy demands globally. Demand Side Management (DSM) is one important tool used to manage energy demands. It employs an advanced power infrastructure along with bi-directional information flow among utilities and users in order to achieve a balanced load curve and minimize demand-supply mismatch. Traditionally, this involves shifting the electricity demand from peak hours to other times of the day in an optimized manner. Multiple users e...

Water Demand Management ― Making the most of the water we ...

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

2010-12-22

Dec 22, 2010 ... Water demand management ― WDM ― can be hard to define. More an issue of policy than of technology, it is about managing and moderating our demands for good quality fresh water. It is less a matter of piping and pumps and more a tool for changing the ways we use water and the rates at which we ...

Managing the TDM process : developing MPO institutional capacity - technical report.

Science.gov (United States)

2015-04-01

Within Texas, the development of urban travel demand models (TDMs) is a cooperative process between the : Texas Department of Transportation and Metropolitan Planning Organizations (MPOs). Though TxDOT-Transportation Planning and Programming Division...

Modeling storage and demand management in power distribution grids

International Nuclear Information System (INIS)

Schroeder, Andreas

2011-01-01

Grahical abstract: The model informs an optimal investment sizing decision as regards specific 'smart grid' applications such as storage facilities and meters enabling load control. Results indicate that central storage facilities are a more promising option for generation cost reductions as compared to demand management. Highlights: → Stochastic versus deterministic model increases investment efficiency up to 5%. → Deterministic model under-estimates value of load control and storage. → Battery storage is beneficial at investment cost below 850 EUR/MW h. → Demand management equipment is not beneficial at cost beyond 200 EUR. → The stylized 10 kV grid constitutes no shortage factor. -- Abstract: Storage devices and demand control may constitute beneficial tools to optimize electricity generation with a large share of intermittent resources through inter-temporal substitution of load. This paper quantifies the related cost reductions in a simulation model of a simplified stylized medium-voltage grid (10 kV) under uncertain demand and wind output. Benders Decomposition Method is applied to create a two-stage stochastic optimization program. The model informs an optimal investment sizing decision as regards specific 'smart' applications such as storage facilities and meters enabling load control. Model results indicate that central storage facilities are a more promising option for generation cost reductions as compared to demand management. Grid extensions are not appropriate in any of the scenarios. A sensitivity analysis is applied with respect to the market penetration of uncoordinated Plug-In Electric Vehicles which are found to strongly encourage investment into load control equipment for 'smart' charging and slightly improve the case for central storage devices.

Different TDM/CH4 hydrothermal plume signatures: TAG site at 26N and serpentinized ultrabasic diapir at 15 degrees 05'N on the Mid-Atlantic ridge

Energy Technology Data Exchange (ETDEWEB)

Charlou, J.L.; Bougault, H. (IFREMER Centre de Brest, Plouzane (France)); Appriou, P. (Univ. de Bretagne Occidentale, Brest (France)); Nelsen, T.; Rona, P. (NOAA-AOML-OCD, Miami, FL (United States))

1991-11-01

As a part of the 1988 NOAA VENTS Program, CH{sub 4} and Mn tracers were used to identify and compare hydrothermal plumes found above the TAG Field (26{degrees}N) and in the rift valley at 15{degrees}N close to the eastern intersection of the ridge axis with the 15{degrees}20'N Fracture Zone at the Mid-Atlantic Ridge (MAR). Active hydrothermal venting was confirmed at TAG, based on elevated concentrations of total dissolved Mn (TDM up to 30 nmol/kg), high CH{sub 4} concentrations (up to 200 nL/L), and elevated nephelometry signals. Plumes of a different composition were identified at 15{degree}N with high CH{sub 4} concentrations (up to 400 nL/L), low total dissolved Mn concentrations (TDM < 1 nmol/kg) and no significant nephelometry signal. The different properties of these tracers and the different tracer ratios can be used to deduce vent fluid characteristics and compare one hydrothermal area to another. TDM/CH{sub 4} and Nephel/CH{sub 4} ratios at TEG are of the same order of magnitude as those observed at other spreading axis hydrothermal fields. At 15{degrees}N, the low TDM/CH{sub 4} ratio provides evidence of fluid circulation into ultrabasic rocks and offers a potentially useful and single method of exploring for hydrothermal activity associated with serpentinization. Mantle degassing through hydrothermal activity associated with serpentinization is an important process with respect to chemical and thermal exchanges between the upper mantle and the ocean. Different ratios of hydrothermal tracers (i.e., TDM/CH{sub 4}) provide a useful framework for identifying subseafloor processes along mid-oceanic ridges.

Patient-reported outcomes from EMILIA, a randomized phase 3 study of trastuzumab emtansine (T-DM1) versus capecitabine and lapatinib in human epidermal growth factor receptor 2-positive locally advanced or metastatic breast cancer.

Science.gov (United States)

Welslau, Manfred; Diéras, Veronique; Sohn, Joo-Hyuk; Hurvitz, Sara A; Lalla, Deepa; Fang, Liang; Althaus, Betsy; Guardino, Ellie; Miles, David

2014-03-01

This report describes the results of an analysis of patient-reported outcomes from EMILIA (TDM4370g/BO21977), a randomized phase 3 study of the antibody-drug conjugate trastuzumab emtansine (T-DM1) versus capecitabine and lapatinib in human epidermal growth factor receptor 2 (HER2)-positive locally advanced or metastatic breast cancer. A secondary endpoint of the EMILIA study was time to symptom worsening (time from randomization to the first documentation of a ≥ 5-point decrease from baseline) as measured by the Trial Outcome Index Physical/Functional/Breast (TOI-PFB) subset of the Functional Assessment of Cancer Therapy-Breast questionnaire. Predefined exploratory patient-reported outcome endpoints included proportion of patients with a clinically significant improvement in symptoms (per TOI-PFB) and proportion of patients with diarrhea symptoms (per Diarrhea Assessment Scale). In the T-DM1 arm, 450 of 495 patients had a baseline and ≥ 1 postbaseline TOI-PFB score versus 445 of 496 patients in the capecitabine-plus-lapatinib arm. Time to symptom worsening was delayed in the T-DM1 arm versus the capecitabine-plus-lapatinib arm (7.1 months versus 4.6 months, respectively; hazard ratio = 0.796; P = .0121). In the T-DM1 arm, 55.3% of patients developed clinically significant improvement in symptoms from baseline versus 49.4% in the capecitabine-plus-lapatinib arm (P = .0842). Although similar at baseline, the number of patients reporting diarrhea symptoms increased 1.5- to 2-fold during treatment with capecitabine and lapatinib but remained near baseline levels in the T-DM1 arm. Together with the EMILIA primary data, these results support the concept that T-DM1 has greater efficacy and tolerability than capecitabine plus lapatinib, which may translate into improvements in health-related quality of life. © 2013 American Cancer Society.

Demand chain management – The implementation

Directory of Open Access Journals (Sweden)

D Ericsson

2011-12-01

Full Text Available Most current supply chain models were developed during a period of relative stability. Today, the environment is discontinuous, volatile and unpredictable. This requires a major rethinking and revitalisation of existing supply chain models. Supply chains are much more than warehouses, transportation and technology, they are people powered and have to be treated as social and political as well as economic and technical systems.The most difficult yet challenging and rewarding factor is the change of mindset from approaches based on the old industrial paradigm to the new knowledge oriented paradigm. From "one size fits all" to customisation and buyer behaviour oriented segmentation based on structural flexibility. The new approach requires a change of processes and management systems, but most of all, a change of mindset, organisation structure and behaviour.This may create internal resistance that has to be overcome to reach the desired future state. This future state is highly dependent on cooperation and consensus with external companies, and the next step is therefore to extend the alignment approach to the chosen partners in the demand chain. The development towards channel rather than company competition requires an interorganisational approach to channel design. Internal alignment and cooperation is necessary but not sufficient, which means that an agile and dynamically aligned demand chain has to be created.All this is well known and documented in both research and theory. However, the challenge is to implement these theories, models and behaviour in practice. This paper presents one practical approach to implementation of the theories put forth by Ericsson [Ericsson D, 2011, Demand chain management - The evolution, ORiON, 27(1, pp. 45-81.].

A System Architecture for Autonomous Demand Side Load Management in Smart Buildings

DEFF Research Database (Denmark)

Costanzo, Giuseppe Tommaso; Zhu, Guchuan; Anjos, Miguel F.

2012-01-01

This paper presents a system architecture for load management in smart buildings which enables autonomous demand side load management in the smart grid. Being of a layered structure composed of three main modules for admission control, load balancing, and demand response management...... in multiple time-scales and allows seamless integration of diverse techniques for online operation control, optimal scheduling, and dynamic pricing. The design of a home energy manager based on this architecture is illustrated and the simulation results with Matlab/Simulink confirm the viability...

Internet of Things, Challenges for Demand Side Management

Directory of Open Access Journals (Sweden)

Simona-Vasilica OPREA

2017-01-01

Full Text Available The adoption of any new product means also the apparition of new issues and challenges, and this is especially true when we talk about a mass adoption. The advent of Internet of Things (IoT devices will be, in the authors of this paper opinion, the largest and the fastest product adoption yet to be seen, as several early sources were predicting a volume of 50 billion IoT devices to be active by 2020 [1][2]. While later forecasts reduced the predicted amount to about 20-30 billion devices [3], even for such “reduced” number, demand side management issues are foreseeable, for the potential economic impact of IoT applications in 2025 will be between 3.9 and $11.1 trillion USD [4]. Not only that new patterns will emerge in energy consumption and Internet traffic, but we predict that the sheer amount of data produced by this quantity of IoT devices will give birth to a new sort of demand side management, the demand side management of IoT data. How will this work is yet to be seen but, at the current moment, one can at least identify the bits and pieces that will constitute it. This paper is intended to serve as short guide regarding the possible challenges raised by the adoption of IoT devices. The data types and structures, lifecycle and patterns will be briefly discussed throughout the following article.

Impact of Demand Side Management in Active Distribution Networks

DEFF Research Database (Denmark)

Ponnaganti, Pavani; Bak-Jensen, Birgitte; Pillai, Jayakrishnan Radhakrishna

2017-01-01

Demand Side Management (DSM) is an efficient flexible program which helps distribution network operators to meet the future critical peak demand. It is executed in cases of not only technical issues like voltage sag or swell, transformer burdening, cable congestions, but also to increase the degree...... of visibility in the electricity markets. The aim of this paper is to find the optimal flexible demands that can be shifted to another time in order to operate the active distribution system within secure operating limits. A simple mechanism is proposed for finding the flexibility of the loads where electric...

A Masters Programme in Telecommunications Management--Demand-Based Curriculum Design

Science.gov (United States)

Gharaibeh, Khaled M.; Kaylani, Hazem; Murphy, Noel; Brennan, Conor; Itradat, Awni; Al-Bataineh, Mohammed; Aloqlah, Mohammed; Salhieh, Loay; Altarazi, Safwan; Rawashdeh, Nathir; del Carmen Bas Cerdá, María; Conchado Peiró, Andrea; Al-Zoubi, Asem; Harb, Bassam; Bany Salameh, Haythem

2015-01-01

This paper presents a curriculum design approach for a Masters Programme in Telecommunications Management based on demand data obtained from surveying the needs of potential students of the proposed programme. Through online surveys disseminated at telecom companies in Jordan, it was possible to measure the demand for such a programme and to…

Demand-side management and demand response in the Ontario energy sectors

International Nuclear Information System (INIS)

2003-01-01

In June 2003, the Ontario Energy Board was asked by the Minister of Energy to identify and review options for the delivery of demand-side management (DSM) and demand response (DR) activities within the electricity sector, by consulting with stakeholders. The role of local distribution company (distributor) in such activities was also to be determined. The objective was to balance implementation costs with the benefits to consumers and the entire system. The preliminary research and ideas were presented in this discussion paper. Definitions of both DSM and DR were provided, followed by an overview of economic theory and competitive markets. The framework for discussion was presented, along with a list of issues and other considerations. A spectrum of potential approaches to a DSM and DR framework was included and jurisdictional examples provided. A brief overview of the concept of load aggregation was presented and the next steps for consultations were outlined. 30 refs., 7 tabs

Demand management: another marketing tool or a way to quality care?

Science.gov (United States)

Mohler, M J; Harris, J M

1998-05-01

Demand management tools are population-based strategies used to control costs and improve utilization of services by assisting health consumers in maintaining their health and seeking appropriate health care. These tools are increasingly used by health care delivery systems and, in the US, by fiscal intermediaries, such as insurance companies. If these tools are not properly applied, there is a clear possibility that their use may lead a reduction of health care services with no improvement in clinical, humanistic, or economic outcomes. Demand management effectiveness has not been rigorously examined by the medical industry or academia. Before adopting or purchasing demand management technologies, health care systems should examine them carefully to determine how the tools were developed and who they were intended to serve. Once implemented, careful tracking of population outcomes is as necessary with these technologies as with any other technologies that can affect health care.

The Chromatin Protein DUET/MMD1 Controls Expression of the Meiotic Gene TDM1 during Male Meiosis in Arabidopsis.

Science.gov (United States)

Andreuzza, Sébastien; Nishal, Bindu; Singh, Aparna; Siddiqi, Imran

2015-09-01

Meiosis produces haploid cells essential for sexual reproduction. In yeast, entry into meiosis activates transcription factors which trigger a transcriptional cascade that results in sequential co-expression of early, middle and late meiotic genes. However, these factors are not conserved, and the factors and regulatory mechanisms that ensure proper meiotic gene expression in multicellular eukaryotes are poorly understood. Here, we report that DUET/MMD1, a PHD finger protein essential for Arabidopsis male meiosis, functions as a transcriptional regulator in plant meiosis. We find that DUET-PHD binds H3K4me2 in vitro, and show that this interaction is critical for function during meiosis. We also show that DUET is required for proper microtubule organization during meiosis II, independently of its function in meiosis I. Remarkably, DUET protein shows stage-specific expression, confined to diplotene. We identify two genes TDM1 and JAS with critical functions in cell cycle transitions and spindle organization in male meiosis, as DUET targets, with TDM1 being a direct target. Thus, DUET is required to regulate microtubule organization and cell cycle transitions during male meiosis, and functions as a direct transcription activator of the meiotic gene TDM1. Expression profiling showed reduced expression of a subset comprising about 12% of a known set of meiosis preferred genes in the duet mutant. Our results reveal the action of DUET as a transcriptional regulator during male meiosis in plants, and suggest that transcription of meiotic genes is under stagewise control in plants as in yeast.

Demand Side Management: An approach to peak load smoothing

Science.gov (United States)

Gupta, Prachi

A preliminary national-level analysis was conducted to determine whether Demand Side Management (DSM) programs introduced by electric utilities since 1992 have made any progress towards their stated goal of reducing peak load demand. Estimates implied that DSM has a very small effect on peak load reduction and there is substantial regional and end-user variability. A limited scholarly literature on DSM also provides evidence in support of a positive effect of demand response programs. Yet, none of these studies examine the question of how DSM affects peak load at the micro-level by influencing end-users' response to prices. After nearly three decades of experience with DSM, controversy remains over how effective these programs have been. This dissertation considers regional analyses that explore both demand-side solutions and supply-side interventions. On the demand side, models are estimated to provide in-depth evidence of end-user consumption patterns for each North American Electric Reliability Corporation (NERC) region, helping to identify sectors in regions that have made a substantial contribution to peak load reduction. The empirical evidence supports the initial hypothesis that there is substantial regional and end-user variability of reductions in peak demand. These results are quite robust in rapidly-urbanizing regions, where air conditioning and lighting load is substantially higher, and regions where the summer peak is more pronounced than the winter peak. It is also evident from the regional experiences that active government involvement, as shaped by state regulations in the last few years, has been successful in promoting DSM programs, and perhaps for the same reason we witness an uptick in peak load reductions in the years 2008 and 2009. On the supply side, we estimate the effectiveness of DSM programs by analyzing the growth of capacity margin with the introduction of DSM programs. The results indicate that DSM has been successful in offsetting the

Demand-side management and demand response in the Ontario energy sectors

International Nuclear Information System (INIS)

2004-01-01

A directive from the former Minister of Energy was received by the Ontario Energy Board (OEB), directing the Board to consult with stakeholders on options for the delivery of demand-side management (DSM) and demand response (DR) activities within the electricity sector, including the role of local distribution companies in such activities. The implementation costs were to be balanced with the benefits to both consumers and the entire system. The scope of the review was expanded by the Board to include the role of gas distribution companies in DSM. A consultation process was implemented and stakeholders were invited to participate. A series of recommendations was made, including: (1) a hybrid framework utilizing market-based and public-policy approaches should deliver DSM and DR activities in Ontario's energy markets, (2) DSM and DR activities should come under the responsibility of a central agency, (3) DSM and DR activities should be coordinated through cooperation between the Ministry of Energy, the Independent Electricity Market Operator (IMO) and the Ontario Energy Board, (4) regulatory mechanisms to induce gas distributors, electricity transmitters and electricity distributors to reduce distribution system losses should be put in place, (5) all electricity consumers should fund electricity DSM and some retail DR initiatives through a transparent, non-bypassable consumption charge, and (6) the Board should design, develop and deliver information to consumers regarding energy conservation, energy efficiency, load management, and cleaner sources of energy. refs., 4 figs

The impact of demand side management strategies in the penetration of renewable electricity

International Nuclear Information System (INIS)

Pina, André; Silva, Carlos; Ferrão, Paulo

2012-01-01

High fuel costs, increasing energy security and concerns with reducing emissions have pushed governments to invest in the use of renewable energies for electricity generation. However, the intermittence of most renewable resources when renewable energy provides a significant share of the energy mix can create problems to electricity grids, which can be minimized by energy storage systems that are usually not available or expensive. An alternative solution consists on the use of demand side management strategies, which can have the double effect of reducing electricity consumption and allowing greater efficiency and flexibility in the grid management, namely by enabling a better match between supply and demand. This work analyzes the impact of demand side management strategies in the evolution of the electricity mix of Flores Island in the Azores archipelago which is characterized by high shares of renewable energy and therefore the introduction of more renewable energy sources makes it an interesting case study for testing innovative solutions. The electricity generation system is modeled in TIMES, a software which optimizes the investment and operation of wind and hydro plants until 2020 based on scenarios for demand growth, deployment of demand response technologies in the domestic sector and promotion of behavioral changes to eliminate standby power. The results show that demand side management strategies can lead to a significant delay in the investment on new generation capacity from renewable resources and improve the operation of the existing installed capacity. -- Highlights: ► Energy efficiency can help reduce the need for investment in more renewable energy. ► Dynamic demand helps increase the use of renewable energy in low demand periods. ► Around 40% of total consumption by domestic appliances is used as dynamic demand. ► The load of domestic appliances is mainly shifted to the 5:00 to 9:00 period.

Addressing BI Transactional Flows in the Real-Time Enterprise Using GoldenGate TDM

Science.gov (United States)

Pareek, Alok

It's time to visit low latency and reliable real-time (RT) infrastructures to support next generation BI applications instead of continually debating the need and notion of real-time. The last few years have illuminated some key paradigms affecting data management. The arguments put forth to move away from traditional DBMS architectures have proven persuasive - and specialized architectural data stores are being adopted in the industry [1]. The change from traditional database pull methods towards intelligent routing/push models is underway, causing applications to be redesigned, redeployed, and re-architected. One direct result of this is that despite original warnings about replication [2] - enterprises continue to deploy multiple replicas to support both performance, and high availability of RT applications, with an added complexity around manageability of heterogeneous computing systems. The enterprise is overflowing with data streams that require instantaneous processing and integration, to deliver faster visibility and invoke conjoined actions for RT decision making, resulting in deployment of advanced BI applications as can be seen by stream processing over RT feeds from operational systems for CEP [3]. Given these various paradigms, a multitude of new challenges and requirements have emerged, thereby necessitating different approaches to management of RT applications for BI. The purpose of this paper is to offer a viewpoint on how RT affects critical operational applications, evolves the weight of non-critical applications, and pressurizes availability/data-movement requirements in the underlying infrastructure. I will discuss how the GoldenGate TDM platform is being deployed within the RTE to manage some of these challenges particularly around RT dissemination of transactional data to reduce latency in data integration flows, to enable real-time reporting/DW, and to increase availability of underlying operational systems. Real world case studies will be

Balancing islanded residential microgrids using demand side management

NARCIS (Netherlands)

Hoogsteen, Gerwin; van der Klauw, Thijs; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria; Feng, Xianyong; Hebner, Robert E.

2016-01-01

Now that the internet of things is emerging, control of domestic assets within the smart micro grids is also gaining interest. Furthermore, these micro grids may operate in islanded mode for short periods. Various demand side management approaches are presented in literature to control these assets.

Using demand-side management to decrease transformer ageing

NARCIS (Netherlands)

van der Klauw, Thijs; Gerards, Marco Egbertus Theodorus; Hurink, Johann L.

2016-01-01

The introduction of local, often uncontrollable, generation units as well as larger loads such as electric vehicles (EVs) causes an increasing amount of stress on our energy supply chain, specifically on the distribution grids. Demand-side management (DSM) is often seen as a potential technology to

Analytical optimization of demand management strategies across all urban water use sectors

Science.gov (United States)

Friedman, Kenneth; Heaney, James P.; Morales, Miguel; Palenchar, John

2014-07-01

An effective urban water demand management program can greatly influence both peak and average demand and therefore long-term water supply and infrastructure planning. Although a theoretical framework for evaluating residential indoor demand management has been well established, little has been done to evaluate other water use sectors such as residential irrigation in a compatible manner for integrating these results into an overall solution. This paper presents a systematic procedure to evaluate the optimal blend of single family residential irrigation demand management strategies to achieve a specified goal based on performance functions derived from parcel level tax assessor's data linked to customer level monthly water billing data. This framework is then generalized to apply to any urban water sector, as exponential functions can be fit to all resulting cumulative water savings functions. Two alternative formulations are presented: maximize net benefits, or minimize total costs subject to satisfying a target water savings. Explicit analytical solutions are presented for both formulations based on appropriate exponential best fits of performance functions. A direct result of this solution is the dual variable which represents the marginal cost of water saved at a specified target water savings goal. A case study of 16,303 single family irrigators in Gainesville Regional Utilities utilizing high quality tax assessor and monthly billing data along with parcel level GIS data provide an illustrative example of these techniques. Spatial clustering of targeted homes can be easily performed in GIS to identify priority demand management areas.

A Novel Prosumer-Based Energy Sharing and Management (PESM Approach for Cooperative Demand Side Management (DSM in Smart Grid

Directory of Open Access Journals (Sweden)

Sohail Razzaq

2016-10-01

Full Text Available Increasing population and modern lifestyle have raised energy demands globally. Demand Side Management (DSM is one important tool used to manage energy demands. It employs an advanced power infrastructure along with bi-directional information flow among utilities and users in order to achieve a balanced load curve and minimize demand-supply mismatch. Traditionally, this involves shifting the electricity demand from peak hours to other times of the day in an optimized manner. Multiple users equipped with renewable resources work in coordination with each other in order to achieve mutually beneficial energy management. This, in turn, has generated the concept of cooperative DSM. Such users, called prosumers, consume and produce energy using renewable resources (solar, wind etc.. Prosumers with surplus energy sell to the grid as well as to other consumers. In this paper, a novel Prosumer-based Energy Sharing and Management (PESM scheme for cooperative DSM has been proposed. A simulation model has been developed for testing the proposed method. Different variations of the proposed methodology have been experimented with different criteria. The results show that the proposed energy sharing scheme achieves DSM purposes in a useful manner.

Energy efficiency and demand side management. Complement or contradiction? The impact of energy efficiency measures on the potential for demand side management; Energieeffizienz und Lastflexibilisierung. Partner oder Gegenspieler? Der Einfluss von Energieeffizienzmassnahmen auf das Lastflexibilisierungspotenzial

Energy Technology Data Exchange (ETDEWEB)

Peraus, Sebastian [TU Muenchen (Germany). Maschinenwesen; Gruber, Anna; Roon, Serafin von [Forschungsgesellschaft fuer Energiewirtschaft mbH, Muenchen (Germany)

2013-02-01

The success of the so called ''Energiewende'' in Germany is based on two major elements: the improvements in energy efficiency and the increase of renewable energy sources (RES). But the supply of RES cannot always be regulated according to the electricity demand. As a result both flexible electricity generation and demand side management will become increasingly important. Consequently, it has to be discussed, whether the improvement of energy efficiency and demand side management could interfere. This publication will illustrate the possible impact of energy efficiency measures on the potential for demand side management.

Optimized management of a distributed demand response aggregation model

International Nuclear Information System (INIS)

Prelle, Thomas

2014-01-01

The desire to increase the share of renewable energies in the energy mix leads to an increase in share of volatile and non-controllable energy and makes it difficult to meet the supply-demand balance. A solution to manage anyway theses energies in the current electrical grid is to deploy new energy storage and demand response systems across the country to counterbalance under or over production. In order to integrate all these energies systems to the supply and demand balance process, there are gathered together within a virtual flexibility aggregation power plant which is then seen as a virtual power plant. As for any other power plant, it is necessary to compute its production plan. Firstly, we propose in this PhD thesis an architecture and management method for an aggregation power plant composed of any type of energies systems. Then, we propose algorithms to compute the production plan of any types of energy systems satisfying all theirs constraints. Finally, we propose an approach to compute the production plan of the aggregation power plant in order to maximize its financial profit while complying with all the constraints of the grid. (author)

Burnup credit demands for spent fuel management in Ukraine

International Nuclear Information System (INIS)

Medun, V.

2001-01-01

In fact, till now, burnup credit has not be applied in Ukrainian nuclear power for spent fuel management systems (storage and transport). However, application of advanced fuel at VVER reactors, arising spent fuel amounts, represent burnup credit as an important resource to decrease spent fuel management costs. The paper describes spent fuel management status in Ukraine from viewpoint of subcriticality assurance under spent fuel storage and transport. It also considers: 1. Regulation basis concerning subcriticality assurance, 2. Basic spent fuel and transport casks characteristics, 3. Possibilities and demands for burnup credit application at spent fuel management systems in Ukraine. (author)

8 Different approaches needed to manage ED demand among different age-groups.

Science.gov (United States)

Rimmer, Melanie; Ablard, Suzanne; O'Keeffe, Colin; Mason, Suzanne

2017-12-01

A variety of interventions have been proposed to manage rising demand for Emergency and Urgent Care, described by an NHS England review as unsustainable in the long term. However it is unlikely that any suggested approach will be equally suitable for the diverse population of ED users.We aimed to understand the patterns of demand amongst different types of patients attending ED. We also sought to understand the intended and unintended effects of demand management initiatives. Our study combined insights from routine data, a survey of ED patients, and qualitative interviews with ED staff. This paper describes the results of our analysis of the interviews. We conducted semi-structured interviews with 25 ED and Urgent Care Centre staff across 7 hospital sites in Yorkshire and Humber between 25 April and 11 July 2016. The interview topic guide asked about 4 broad areas; job role, description of patients and their impact on demand, description of inappropriate attendance, and current/future initiatives to deal with rising demand. Interviews were transcribed verbatim and analysed using framework analysis. We analysed the results to identify groups of patients with different patterns of use of ED services. We also explored ED staff experiences of demand management initiatives, and their suggestions for future initiatives. Although we did not ask specifically about patients' age, our analysis revealed that ED staff categorised attenders as children and young people, working age people, and older people. These groups had different reasons for attendance, different routes to the ED, different rate of non-urgent attendance, and different issues driving demand. Staff also described variation in the time taken to treat patients of different ages, with the oldest and youngest patients described as requiring the most time.There was no consensus amongst staff about the effectiveness of initiatives for managing demand. A strikingly wide variety of initiatives were mentioned

Demand-side management process evaluations - the management perspective

International Nuclear Information System (INIS)

Perrault, G.A.; Barrett, L.B.

1993-01-01

A demand-side management (DSM) process evaluation is a qualitative, expert assessment of how a utility marketing program is being conducted. It reviews the efficiency and effectiveness in which a utility plans, manages, executes, and monitors the delivery of DSM programs to its marketplace. Process evaluations,which includes load impact, customer satisfaction and cost-effectiveness analysis, are becoming an increasingly significant component. The process evaluation focus is on the program planning and delivery process as opposed to the energy impacts resulting from the specific measures or products of the program. Because of this process-oriented focus, such evaluations can identify important opportunities for improving the cost-effectiveness of a program without significantly changing product lines. The evaluation may identify administrative or delivery process improvements. In addition, the evaluation may identify ways of improving the degree to which the customer is satisfied with the program or the utility. Since process evaluations are usually conducted as part of a utility's mandated DSM measurement and evaluation plan, they tend to focus mainly on the stated needs of the regulator as opposed to company management. This can be a problem. Although the regulatory perspective is important, in an increasingly competitive business environment, utilities must not overlook management's business and operational needs for specific information regarding DSM program planning, control, execution, and evaluation. This paper discusses some of the conflicts that exist between the regulator's and management's needs for DSM program evaluation results and presents some approaches for assuring that both needs are met. It is organized to first discuss the scope of a process evaluation, then the evaluation issues, the management concerns, and finally reporting of results

Why commercial customers are SIC of DSM [demand-side management] marketing

International Nuclear Information System (INIS)

Lewis, L.E.

1990-01-01

Studies have shown that the success of demand management programs, which have demonstrated economic benefits, depends on the level of customer participation. In order to have a better understanding of the decisionmaking process of commercial customers with respect to demand management programs, a study was undertaken to determine the preferences and the behavior of this class of clientele. This clientele, whose power consumption has been increasing at a faster rate than that of other sectors, represents a vast range of enterprises producing and supplying all kinds of products. Many of them operate from numerous geographic points on local, regional, national, and even world scales and are generally hierarchically organized. Because of these characteristics, their decisionmaking processes and their needs are equally complex, more so than in the residential sector. A multidimensional approach has been adopted to ensure that their needs are determined according to a quantitative and qualitative research method. The conclusions of the quantitative research have demonstrated that the frameworks representing different organizations respond differently to questions on their needs. It is also noted that certain commercial enterprises are of a cohesive nature (i.e. there is a consistency in understanding of corporate strategic and operational requirements at all hierarchical levels), while others are more diffuse. Those responsible for marketing demand management programs therefore must improve their understanding of the strategic and operational needs of their commercial customers in order to make their demand management programs productive in the view of the appropriate personnel at the hierarchical level applicable to the company concerned

Security Services Lifecycle Management in on-demand infrastructure services

NARCIS (Netherlands)

Demchenko, Y.; de Laat, C.; Lopez, D.R.; García-Espín, J.A.; Qiu, J.; Zhao, G.; Rong, C.

2010-01-01

Modern e-Science and high technology industry require high-performance and complicated network and computer infrastructure to support distributed collaborating groups of researchers and applications that should be provisioned on-demand. The effective use and management of the dynamically provisioned

Air pollution impacts from demand-side management

International Nuclear Information System (INIS)

Hall, D.C.; Sandii Win, M.; Hall, J.V.

1995-01-01

Air-polluting emission rates and energy-efficiency ratings vary widely among power plants, depending on location, age and whether the power plant is repowered. Traditional regulations require installation of specified emission control equipment that varies among power plants. These regulations do not specify that utilities first dispatch the cleanest power plants as demand varies from peak to off-peak periods. This empirical analysis shows, for 2 years out of 20, that demand-side management (DSM) programs increase air pollution. One reason for this result is that regulations require installation of specific emission-control technology but do not provide the incentive to take actual emissions or their air quality impacts into account when operating the system. For certain types of air pollutants and in some regions, regulatory programs now include markets for tradable emission credits. Such programs may alter this incentive. (author)

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

Task demand, task management, and teamwork

Energy Technology Data Exchange (ETDEWEB)

Braarud, Per Oeivind; Brendryen, Haavar

2001-03-15

The current approach to mental workload assessment in process control was evaluated in 3 previous HAMMLAB studies, by analysing the relationship between workload related measures and performance. The results showed that subjective task complexity rating was related to team's control room performance, that mental effort (NASA-TLX) was weakly related to performance, and that overall activity level was unrelated to performance. The results support the argument that general cognitive measures, i.e., mental workload, are weakly related to performance in the process control domain. This implies that other workload concepts than general mental workload are needed for valid assessment of human reliability and for valid assessment of control room configurations. An assessment of task load in process control suggested that how effort is used to handle task demand is more important then the level of effort invested to solve the task. The report suggests two main workload related concepts with a potential as performance predictors in process control: task requirements, and the work style describing how effort is invested to solve the task. The task requirements are seen as composed of individual task demand and team demand. In a similar way work style are seen as composed of individual task management and teamwork style. A framework for the development of the concepts is suggested based on a literature review and experiences from HAMMLAB research. It is suggested that operational definitions of workload concepts should be based on observable control room behaviour, to assure a potential for developing performance-shaping factors. Finally an explorative analysis of teamwork measures and performance in one study indicated that teamwork concepts are related to performance. This lends support to the suggested development of team demand and teamwork style as elements of a framework for the analysis of workload in process control. (Author)

Modeling and Analysis of Commercial Building Electrical Loads for Demand Side Management

Science.gov (United States)

Berardino, Jonathan

In recent years there has been a push in the electric power industry for more customer involvement in the electricity markets. Traditionally the end user has played a passive role in the planning and operation of the power grid. However, many energy markets have begun opening up opportunities to consumers who wish to commit a certain amount of their electrical load under various demand side management programs. The potential benefits of more demand participation include reduced operating costs and new revenue opportunities for the consumer, as well as more reliable and secure operations for the utilities. The management of these load resources creates challenges and opportunities to the end user that were not present in previous market structures. This work examines the behavior of commercial-type building electrical loads and their capacity for supporting demand side management actions. This work is motivated by the need for accurate and dynamic tools to aid in the advancement of demand side operations. A dynamic load model is proposed for capturing the response of controllable building loads. Building-specific load forecasting techniques are developed, with particular focus paid to the integration of building management system (BMS) information. These approaches are tested using Drexel University building data. The application of building-specific load forecasts and dynamic load modeling to the optimal scheduling of multi-building systems in the energy market is proposed. Sources of potential load uncertainty are introduced in the proposed energy management problem formulation in order to investigate the impact on the resulting load schedule.

Optical chaos and hybrid WDM/TDM based large capacity quasi-distributed sensing network with real-time fiber fault monitoring.

Science.gov (United States)

Luo, Yiyang; Xia, Li; Xu, Zhilin; Yu, Can; Sun, Qizhen; Li, Wei; Huang, Di; Liu, Deming

2015-02-09

An optical chaos and hybrid wavelength division multiplexing/time division multiplexing (WDM/TDM) based large capacity quasi-distributed sensing network with real-time fiber fault monitoring is proposed. Chirped fiber Bragg grating (CFBG) intensity demodulation is adopted to improve the dynamic range of the measurements. Compared with the traditional sensing interrogation methods in time, radio frequency and optical wavelength domains, the measurand sensing and the precise locating of the proposed sensing network can be simultaneously interrogated by the relative amplitude change (RAC) and the time delay of the correlation peak in the cross-correlation spectrum. Assisted with the WDM/TDM technology, hundreds of sensing units could be potentially multiplexed in the multiple sensing fiber lines. Based on the proof-of-concept experiment for axial strain measurement with three sensing fiber lines, the strain sensitivity up to 0.14% RAC/με and the precise locating of the sensors are achieved. Significantly, real-time fiber fault monitoring in the three sensing fiber lines is also implemented with a spatial resolution of 2.8 cm.

Designing cost effective water demand management programs in Australia.

Science.gov (United States)

White, S B; Fane, S A

2002-01-01

This paper describes recent experience with integrated resource planning (IRP) and the application of least cost planning (LCP) for the evaluation of demand management strategies in urban water. Two Australian case studies, Sydney and Northern New South Wales (NSW) are used in illustration. LCP can determine the most cost effective means of providing water services or alternatively the cheapest forms of water conservation. LCP contrasts to a traditional approach of evaluation which looks only at means of increasing supply. Detailed investigation of water usage, known as end-use analysis, is required for LCP. End-use analysis allows both rigorous demand forecasting, and the development and evaluation of conservation strategies. Strategies include education campaigns, increasing water use efficiency and promoting wastewater reuse or rainwater tanks. The optimal mix of conservation strategies and conventional capacity expansion is identified based on levelised unit cost. IRP uses LCP in the iterative process, evaluating and assessing options, investing in selected options, measuring the results, and then re-evaluating options. Key to this process is the design of cost effective demand management programs. IRP however includes a range of parameters beyond least economic cost in the planning process and program designs, including uncertainty, benefit partitioning and implementation considerations.

Coupling Agent-Based and Groundwater Modeling to Explore Demand Management Strategies for Shared Resources

Science.gov (United States)

Al-Amin, S.

2015-12-01

Municipal water demands in growing population centers in the arid southwest US are typically met through increased groundwater withdrawals. Hydro-climatic uncertainties attributed to climate change and land use conversions may also alter demands and impact the replenishment of groundwater supply. Groundwater aquifers are not necessarily confined within municipal and management boundaries, and multiple diverse agencies may manage a shared resource in a decentralized approach, based on individual concerns and resources. The interactions among water managers, consumers, and the environment influence the performance of local management strategies and regional groundwater resources. This research couples an agent-based modeling (ABM) framework and a groundwater model to analyze the effects of different management approaches on shared groundwater resources. The ABM captures the dynamic interactions between household-level consumers and policy makers to simulate water demands under climate change and population growth uncertainties. The groundwater model is used to analyze the relative effects of management approaches on reducing demands and replenishing groundwater resources. The framework is applied for municipalities located in the Verde River Basin, Arizona that withdraw groundwater from the Verde Formation-Basin Fill-Carbonate aquifer system. Insights gained through this simulation study can be used to guide groundwater policy-making under changing hydro-climatic scenarios for a long-term planning horizon.

Distributed Demand Side Management with Battery Storage for Smart Home Energy Scheduling

Directory of Open Access Journals (Sweden)

Omowunmi Mary Longe

2017-01-01

Full Text Available The role of Demand Side Management (DSM with Distributed Energy Storage (DES has been gaining attention in recent studies due to the impact of the latter on energy management in the smart grid. In this work, an Energy Scheduling and Distributed Storage (ESDS algorithm is proposed to be installed into the smart meters of Time-of-Use (TOU pricing consumers possessing in-home energy storage devices. Source of energy supply to the smart home appliances was optimized between the utility grid and the DES device depending on energy tariff and consumer demand satisfaction information. This is to minimize consumer energy expenditure and maximize demand satisfaction simultaneously. The ESDS algorithm was found to offer consumer-friendly and utility-friendly enhancements to the DSM program such as energy, financial, and investment savings, reduced/eliminated consumer dissatisfaction even at peak periods, Peak-to-Average-Ratio (PAR demand reduction, grid energy sustainability, socio-economic benefits, and other associated benefits such as environmental-friendliness.

Safety behavior: Job demands, job resources, and perceived management commitment to safety.

Science.gov (United States)

Hansez, Isabelle; Chmiel, Nik

2010-07-01

The job demands-resources model posits that job demands and resources influence outcomes through job strain and work engagement processes. We test whether the model can be extended to effort-related "routine" safety violations and "situational" safety violations provoked by the organization. In addition we test more directly the involvement of job strain than previous studies which have used burnout measures. Structural equation modeling provided, for the first time, evidence of predicted relationships between job strain and "routine" violations and work engagement with "routine" and "situational" violations, thereby supporting the extension of the job demands-resources model to safety behaviors. In addition our results showed that a key safety-specific construct 'perceived management commitment to safety' added to the explanatory power of the job demands-resources model. A predicted path from job resources to perceived management commitment to safety was highly significant, supporting the view that job resources can influence safety behavior through both general motivational involvement in work (work engagement) and through safety-specific processes.

Demand management through centralized control system using power line communication for existing buildings

International Nuclear Information System (INIS)

Al-Mulla, A.; ElSherbini, A.

2014-01-01

Highlights: • A pilot system was developed for demand management of equipment in buildings. • The networking was based on LonWorks platform and power line communication. • Demand strategies led to load reductions up to 74% and energy savings up to 25%. • The peak load reduction is expected to reach 3.44 GW by the year 2030. - Abstract: Managing peak demand efficiently is vital for maintaining uninterrupted supply of electrical power by utility providers. In this work, a pilot system was developed for managing and controlling the demand of major power consuming equipment in buildings from a central server, while relying mostly on existing infrastructure and maintaining consumer comfort. The system was successfully demonstrated on a selected group of buildings using the LonWorks networking platform. At the building level, the system utilized power line and twisted pair communication to control the thermostats of air-conditioning (A/C) units. The higher level communication was executed through extensible markup language (XML) and simple object access protocol (SOAP). The system provided control capabilities based on A/C unit priority, thermostat temperature, building type and geographic location. The development and execution of demand management strategies for selected buildings led to peak load reductions up to 74%, in addition to energy savings up to 25%. Implementing such a system at a national level in Kuwait is estimated to reduce peak demand by 3.44 GW, amounting to capital savings of $4.13 billion. The use of existing infrastructure reduced the cost and installation time of the system. Based on the successful testing of this pilot system, a larger-scale system is being developed

A model to assess water tariffs as part of water demand management

African Journals Online (AJOL)

Keywords: water demand management, price elasticity, change in water tariff, block tariff, WC/WDM model. INTRODUCTION ... ever developed for a 6-block pricing structure and allows for limited available input data from ..... Payment Strategies and Price Elasticity of Demand for Water for. Different revenue Groups in Three ...

A large capacity time division multiplexed (TDM) laser beam combining technique enabled by nanosecond speed KTN deflector

Science.gov (United States)

Yin, Stuart (Shizhuo); Chao, Ju-Hung; Zhu, Wenbin; Chen, Chang-Jiang; Campbell, Adrian; Henry, Michael; Dubinskiy, Mark; Hoffman, Robert C.

2017-08-01

In this paper, we present a novel large capacity (a 1000+ channel) time division multiplexing (TDM) laser beam combining technique by harnessing a state-of-the-art nanosecond speed potassium tantalate niobate (KTN) electro-optic (EO) beam deflector as the time division multiplexer. The major advantages of TDM approach are: (1) large multiplexing capability (over 1000 channels), (2) high spatial beam quality (the combined beam has the same spatial profile as the individual beam), (3) high spectral beam quality (the combined beam has the same spectral width as the individual beam, and (4) insensitive to the phase fluctuation of individual laser because of the nature of the incoherent beam combining. The quantitative analyses show that it is possible to achieve over one hundred kW average power, single aperture, single transverse mode solid state and/or fiber laser by pursuing this innovative beam combining method, which represents a major technical advance in the field of high energy lasers. Such kind of 100+ kW average power diffraction limited beam quality lasers can play an important role in a variety of applications such as laser directed energy weapons (DEW) and large-capacity high-speed laser manufacturing, including cutting, welding, and printing.

Optimal Energy Management of Combined Cooling, Heat and Power in Different Demand Type Buildings Considering Seasonal Demand Variations

Directory of Open Access Journals (Sweden)

Akhtar Hussain

2017-06-01

Full Text Available In this paper, an optimal energy management strategy for a cooperative multi-microgrid system with combined cooling, heat and power (CCHP is proposed and has been verified for a test case of building microgrids (BMGs. Three different demand types of buildings are considered and the BMGs are assumed to be equipped with their own combined heat and power (CHP generators. In addition, the BMGs are also connected to an external energy network (EEN, which contains a large CHP, an adsorption chiller (ADC, a thermal storage tank, and an electric heat pump (EHP. By trading the excess electricity and heat energy with the utility grid and EEN, each BMG can fulfill its energy demands. Seasonal energy demand variations have been evaluated by selecting a representative day for the two extreme seasons (summer and winter of the year, among the real profiles of year-round data on electricity, heating, and cooling usage of all the three selected buildings. Especially, the thermal energy management aspect is emphasized where, bi-lateral heat trading between the energy supplier and the consumers, so-called energy prosumer concept, has been realized. An optimization model based on mixed integer linear programming has been developed for minimizing the daily operation cost of the EEN while fulfilling the energy demands of the BMGs. Simulation results have demonstrated the effectiveness of the proposed strategy.

Alternative Transportation System Demand Estimation for Federal Land Management Agencies.

Science.gov (United States)

2011-09-30

Estimating travel demand for alternative transportation systems (ATS) is challenging in any context, but is even more daunting for Federal Land Management Agencies (FLMAs). Federal public land sites vary widely in their characteristics. Moreover, tra...

Optimisation of key performance measures in air cargo demand management

OpenAIRE

Alexander May; Adrian Anslow; Udechukwu Ojiako; Yue Wu; Alasdair Marshall; Maxwell Chipulu

2014-01-01

This article sought to facilitate the optimisation of key performance measures utilised for demand management in air cargo operations. The focus was on the Revenue Management team at Virgin Atlantic Cargo and a fuzzy group decision-making method was used. Utilising intelligent fuzzy multi-criteria methods, the authors generated a ranking order of ten key outcome-based performance indicators for Virgin Atlantic air cargo Revenue Management. The result of this industry-driven study showed that ...

Data Science in Supply Chain Management: Data-Related Influences on Demand Planning

Science.gov (United States)

Jin, Yao

2013-01-01

Data-driven decisions have become an important aspect of supply chain management. Demand planners are tasked with analyzing volumes of data that are being collected at a torrential pace from myriad sources in order to translate them into actionable business intelligence. In particular, demand volatilities and planning are vital for effective and…

Resource Management in Diffserv On DemAnd (RODA) PHR

NARCIS (Netherlands)

Westberg, L.; Jacobsson, M.; de Kogel, M.; Oosthoek, S.; Partain, D.; Rexhepi, V.; Wallentin, P.; Karagiannis, Georgios

The purpose of this draft is to present the Resource Management in Diffserv (RMD) On DemAnd (RODA) Per Hop Reservation (PHR) protocol. The RODA PHR protocol is used on a per-hop basis in a Differentiated Services (Diffserv) domain and extends the Diffserv Per Hop Behavior (PHB) with resource

Daily Use of Energy Management Strategies and Occupational Well-being: The Moderating Role of Job Demands

Directory of Open Access Journals (Sweden)

Stacey L. Parker

2017-08-01

Full Text Available We examine the relationships among employees’ use of energy management strategies and two occupational well-being outcomes: job satisfaction and emotional exhaustion. Based on conservation of resources theory, it was hypothesized that employees with high job demands would benefit more from using energy management strategies (i.e., including prosocial, organizing, and meaning-related strategies, compared to employees with low job demands. We tested this proposition using a quantitative diary study. Fifty-four employees provided data twice daily across one work week (on average, 7 daily entries. Supporting the hypotheses, prosocial energy management was positively related to job satisfaction. Moreover, employees with high job demands were less emotionally exhausted when using prosocial strategies. Contrary to predictions, when using organizing strategies, employees with low job demands had higher job satisfaction and lower emotional exhaustion. Under high job demands, greater use of organizing strategies was associated with lower job satisfaction and higher emotional exhaustion. Finally, use of meaning-related strategies was associated with higher emotional exhaustion when job demands were low. With this research, we position energy management as part of a resource investment process aimed at maintaining and improving occupational well-being. Our findings show that this resource investment will be more or less effective depending on the type of strategy used and the existing drain on resources (i.e., job demands. This is the first study to examine momentary effects of distinct types of work-related energy management strategies on occupational well-being.

Daily Use of Energy Management Strategies and Occupational Well-being: The Moderating Role of Job Demands.

Science.gov (United States)

Parker, Stacey L; Zacher, Hannes; de Bloom, Jessica; Verton, Thomas M; Lentink, Corine R

2017-01-01

We examine the relationships among employees' use of energy management strategies and two occupational well-being outcomes: job satisfaction and emotional exhaustion. Based on conservation of resources theory, it was hypothesized that employees with high job demands would benefit more from using energy management strategies (i.e., including prosocial, organizing, and meaning-related strategies), compared to employees with low job demands. We tested this proposition using a quantitative diary study. Fifty-four employees provided data twice daily across one work week (on average, 7 daily entries). Supporting the hypotheses, prosocial energy management was positively related to job satisfaction. Moreover, employees with high job demands were less emotionally exhausted when using prosocial strategies. Contrary to predictions, when using organizing strategies, employees with low job demands had higher job satisfaction and lower emotional exhaustion. Under high job demands, greater use of organizing strategies was associated with lower job satisfaction and higher emotional exhaustion. Finally, use of meaning-related strategies was associated with higher emotional exhaustion when job demands were low. With this research, we position energy management as part of a resource investment process aimed at maintaining and improving occupational well-being. Our findings show that this resource investment will be more or less effective depending on the type of strategy used and the existing drain on resources (i.e., job demands). This is the first study to examine momentary effects of distinct types of work-related energy management strategies on occupational well-being.

Effective Management of High-Use/High-Demand Space Using Restaurant-Style Pagers

Science.gov (United States)

Gonzalez, Adriana

2012-01-01

The library landscape is changing at a fast pace, with an increase in the demand for study space including quiet, individualized study space; open group study space; and as enclosed group study space. In large academic libraries, managing limited high-demand resources is crucial and is partially being driven by the greater emphasis on group…

Modeling and managing urban water demand through smart meters: Benefits and challenges from current research and emerging trends

Science.gov (United States)

Cominola, A.; Giuliani, M.; Castelletti, A.; Piga, D.; Rizzoli, A. E.

2015-12-01

Urban population growth, climate and land use change are expected to boost residential water demand in urban contexts in the next decades. In such a context, developing suitable demand-side management strategies is essential to meet future water demands, pursue water savings, and reduce the costs for water utilities. Yet, the effectiveness of water demand management strategies (WDMS) relies on our understanding of water consumers' behavior, their consumption habits, and the water use drivers. While low spatial and temporal resolution water consumption data, as traditionally gathered for billing purposes, hardly support this understanding, the advent of high-resolution, smart metering technologies allowed for quasi real-time monitoring water consumption at the single household level. This, in turn, is advancing our ability in characterizing consumers' behavior, modeling, and designing user-oriented residential water demand management strategies. Several water smart metering programs have been rolled-out in the last two decades worldwide, addressing one or more of the following water demand management phases: (i) data gathering, (ii) water end-uses characterization, (iii) user modeling, (iv) design and implementation of personalized WDMS. Moreover, the number of research studies in this domain is quickly increasing and big economic investments are currently being devoted worldwide to smart metering programs. With this work, we contribute the first comprehensive review of more than 100 experiences in the field of residential water demand modeling and management, and we propose a general framework for their classification. We revise consolidated practices, identify emerging trends and highlight the challenges and opportunities for future developments given by the use of smart meters advancing residential water demand management. Our analysis of the status quo of smart urban water demand management research and market constitutes a structured collection of information

Experimental determination of demand side management potential of wet appliances in the Netherlands

NARCIS (Netherlands)

Staats, M. R.; de Boer-Meulman, P. D M; van Sark, W. G J H M

2017-01-01

The potential of demand side management (DSM) of wet appliances (washing machine, dishwasher and tumble dryer) in households with photovoltaic (PV) systems is studied experimentally focusing on evening peak demand reduction and increase in PV self-consumption. In a sample of 100 Dutch households the

Load building versus conservation as demand-side management objectives

International Nuclear Information System (INIS)

Kexel, D.T.

1994-01-01

This paper examines the economics of load building versus conservation as demand-side management objectives. Economic criteria to be used in evaluating each type of program from the perspectives of all impacted parties are provided. The impact of DSM programs on electric rates is shown to be a key focal point of a thorough evaluation

Managing Water Demand : Policies, Practices and Lessons from the ...

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

30 août 2005 ... Managing Water Demand : Policies, Practices and Lessons from the Middle East and North Africa Forums. Couverture du livre ... L'organisation HarassMap, soutenue par le CRDI, a une fois de plus incité à apporter des changements progressifs dans le domaine de la lutte contre le harcèlement sexuel.

Information Technology Framework for Pharmaceutical Supply Chain Demand Management: a Brazilian Case Study

Directory of Open Access Journals (Sweden)

Pedro Domingos Antoniolli

2016-01-01

Full Text Available The paper aims at proposing an information technology framework for demand management within a dyad on the supply chain pharmaceutical industry. The paper adopts the exploratory study as research method, involving a producer of generic drugs and its main distributor. Data was collected by semi - structured interviews. In pharmaceu tical supply chain, sharing information boosted by information technology translates into greater flexibility and reliability, lower costs, obtained through more reliable forecasting, and lower inventory requirements. There are few initiatives involving In formation Technology (IT applied to demand management in pharmaceutical supply chains available in the literature. It was found that the IT framework proposed in this research is adherent to the demand management of the focused pharmaceutical dyad. Other assumption was that, if partners processes integration exist, better supply chain performance is achieved. It was found that, by means of proposed tools and solutions, such as RFID and involved partners applications integration, this goal could be achieved . Because of the chosen research approach, results may be restricted to these specific dyadic processes. Further application of the proposed IT framework have to be tested. The paper identifies demand management strategic and operational processes that can reach a better performance by using the proposed IT framework. Based on the literature, were identified which IT requirements should be met to demand management processes optimization. Additionally, were applied questionnaires and interviews to the focuse d dyad personnel, to corroborate the data identified in the literature. Answers found in the case study link literature elements with those stated by respondents. Finally, based on this, was conceived an IT framework composed of three elements: 1. One spec ific for infrastructure, to enable data and systems interoperability among SC participants, considering a

Health promotion and disease prevention: a look at demand management programs.

Science.gov (United States)

Fronstin, P

1996-09-01

This Issue Brief describes employers' efforts to contain health expenditures through demand management programs. These programs are designed to reduce utilization by focusing on disease prevention and health promotion. Demand management includes work site health promotion, wellness programs, and access management. Work site health promotion is a comprehensive approach to improving health and includes awareness, health education, behavioral change, and organizational health initiatives. Wellness programs usually include stress management, smoking cessation, weight management, back care, health screenings, nutrition education, work place safety, prenatal and well baby care, CPR and first aid classes, and employee assistance programs (EAPs). These programs are often viewed positively by workers and can have long-term benefits for employers above and beyond health care cost containment. Demand management can benefit employers by increasing productivity, employee retention, and employee morale and by reducing turnover, absenteeism, future medical claims, and ultimately expenditures on health care. Even though a growing number of employers are offering wellness programs, only 37 percent of full-time workers employed in medium and large private establishments were eligible for wellness programs by 1993. However, a recent survey found that 88 percent of major employers have introduced some form of health promotion, disease prevention, or early intervention initiative to encourage healthy lifestyles among their salaried employees. Distinctions must be drawn between short- and long-term strategies. Demand management can be thought of as a short-term strategy when the focus of the program is on creating more appropriate and efficient health care utilization. Disease prevention is characterized by longer-term health improvement objectives. Whether the purpose is to reduce utilization in the short term or in the long term, the ultimate goal remains the same: to reduce health

New vision of demand side management strategy as the main tool in cooperation suppliers and consumers of electrical energy

International Nuclear Information System (INIS)

Szkutnik, J.

2012-01-01

The paper presents the complex proposal for the implementation of the demand side management in the Polish energy sector. The issue of demand side management is well known in the world, European and domestic dimensions. The experience of western countries shows that at least to some extent, the demand side management strategy is already implemented there. However, Polish experience is far too insufficient. Demand side management consists in efficient management of energy demand as well as adoption of this demand i.e. changing the load. The decrease of energy consumption in the moment of its peak demand leads to the balance between the demand and supply in the system, which influences the market price of energy. If certain mechanisms are implemented that will cause that final receivers will be willing to adjust their demand for energy, we will create the Demand Response, which is an efficient tool in the demand side management strategy. It is assumed that electronic meters will bring a real quality change. The undertakings based on initiatives of the Polish Energy Regulatory Office that promote the concept of implementation of electronic metering in the Polish energy sector prove that Poland is determined to improve its energy efficiency. The report describes the concept of the electronic meters that enables the realisation of the demand side management strategy as well as other complementary solutions that make the strategy even more efficient. In this field, it is planned to establish a dedicated loyalty programmes for energy receivers. The concept includes also the combination of the model solutions with the campaign 'energy efficiency' organised by the Ministry of Economy, which aims at fulfilling the requirements of the directive 2006/32/EC on energy end-use efficiency and energy services. As complementary solution in this new vision to add the system of recycling of waste heat home appliance devices. (Author)

Neural network controller for Active Demand-Side Management with PV energy in the residential sector

International Nuclear Information System (INIS)

Matallanas, E.; Castillo-Cagigal, M.; Gutiérrez, A.; Monasterio-Huelin, F.; Caamaño-Martín, E.; Masa, D.; Jiménez-Leube, J.

2012-01-01

Highlights: ► We have developed a neural controller for Active Demand-Side Management. ► The controller consists of Multilayer Perceptrons evolved with a genetic algorithm. ► The architecture of the controller is distributed and modular. ► The simulations show that the electrical local behavior improves. ► Active Demand-Side Management helps users to control his energy behaviour. -- Abstract: In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

An energy service company's perspective on demand-side management

International Nuclear Information System (INIS)

Bullock, C.G.

1993-01-01

In 1985, Massachusetts Electric Company held a bid for demand reduction to be supplied by energy service companies (ESCOs). It was one of the first demand-side management (DSM) bidding programs held in the United States. Since then, several DSM auctions have been held. Many people expected DSM bidding to be a key component in integrated resource planning. Many observed similarities with supply side bidding, and expected DSM bidding to grow according. Today, more than $2 billion annually is being spent by utilities on DSM programs. Less than $100 million is spent with ESCOs. This chapter explores some of the reasons for the current situation and suggests some alternatives, which could benefit all of the players

Market architecture and power demand management

International Nuclear Information System (INIS)

Rious, Vincent; Roques, Fabien

2014-12-01

Demand response is a cornerstone problem in electricity markets considering climate change constraint. Most liberalized electricity markets have a poor track record at developing demand response. In Europe, different models are considered for demand response, from a development under a regulated regime to a development under competitive perspectives. In this paper, focusing on demand response for mid-size and small consumers, we investigate which types of market signals should be sent to demand response aggregators to see demand response emerge as a competitive activity. Using data from the French power system over eight years, we compare the possible market design options to allow demand response to develop. Our simulations demonstrate that with the current market rules, demand response is not a profitable activity in the French electricity industry. Introducing a capacity remuneration could bring additional revenues to demand response aggregators if the power system has no over-capacity

Optimization Models and Methods for Demand-Side Management of Residential Users: A Survey

Directory of Open Access Journals (Sweden)

Antimo Barbato

2014-09-01

Full Text Available The residential sector is currently one of the major contributors to the global energy balance. However, the energy demand of residential users has been so far largely uncontrollable and inelastic with respect to the power grid conditions. With the massive introduction of renewable energy sources and the large variations in energy flows, also the residential sector is required to provide some flexibility in energy use so as to contribute to the stability and efficiency of the electric system. To address this issue, demand management mechanisms can be used to optimally manage the energy resources of customers and their energy demand profiles. A very promising technique is represented by demand-side management (DSM, which consists in a proactive method aimed at making users energy-efficient in the long term. In this paper, we survey the most relevant studies on optimization methods for DSM of residential consumers. Specifically, we review the related literature according to three axes defining contrasting characteristics of the schemes proposed: DSM for individual users versus DSM for cooperative consumers, deterministic DSM versus stochastic DSM and day-ahead DSM versus real-time DSM. Based on this classification, we provide a big picture of the key features of different approaches and techniques and discuss future research directions.

Impact of realistic communications for fast-acting demand side management

DEFF Research Database (Denmark)

Dambrauskas, Paulius; Syed, Mazheruddin H.; Blair, Steven M.

2017-01-01

The rising penetration of intermittent energy resources is increasing the need for more diverse electrical energy resources that are able to support ancillary services. Demand side management (DSM) has a significant potential to fulfil this role, but several challenges are still impeding the wide...

Demand Response Technology Readiness Levels for Energy Management in Blocks of Buildings

Directory of Open Access Journals (Sweden)

Tracey Crosbie

2018-01-01

Full Text Available Fossil fuels deliver most of the flexibility in contemporary electricity systems. The pressing need to reduce CO2 emissions requires new methods to provide this flexibility. Demand response (DR offers consumers a significant role in the delivery of flexibility by reducing or shifting their electricity usage during periods of stress or constraint. Blocks of buildings offer more flexibility in the timing and use of energy than single buildings, however, and a lack of relevant scalable ICT tools hampers DR in blocks of buildings. To ameliorate this problem, a current innovation project called “Demand Response in Blocks of Buildings” (DR-BoB: www.dr-bob.eu has integrated existing technologies into a scalable cloud-based solution for DR in blocks of buildings. The degree to which the DR-BoB energy management solution can increase the ability of any given site to participate in DR is dependent upon its current energy systems, i.e., the energy metering, the telemetry and control technologies in building management systems, and the existence/capacity of local power generation and storage plants. To encourage the owners and managers of blocks of buildings to participate in DR, a method of assessing and validating the technological readiness to participate in DR energy management solutions at any given site is required. This paper describes the DR-BoB energy management solution and outlines what we have called the demand response technology readiness levels (DRTRLs for the implementation of such a solution in blocks of buildings.

Interaction between daily load demand curve and management of hydro-thermal generation system

International Nuclear Information System (INIS)

Granelli, G.; Montagna, M.; Pasini, G.; Innorta, M.; Marannino, P.

1993-01-01

The influence that the behaviour of the daily load demand curve has on the management of a hydro-thermal generation system is considered. The aim of this paper is to show the improvements that can be achieved by suitable load management techniques capable of flattening the load demand curve. The analysis is carried out by using a hydro-thermal scheduling program and a thermal unit dynamic dispatch procedure. The possibility of properly re-committing the available thermal units is also taken into account. The economical and technical convenience of shutting down less economical thermal units operating near the lower generations limits is verified. Finally, some considerations are made about the possible use of the thermal generation incremental costs as a tool for planning the end users' kWh prices, even in the short term. The results refer to a system with characteristics similar to those of the Italian one. In determining the daily load demand curves, the characteristics of load demand in Italy as well as in other European countries are taken into account

Distributed Optimisation Algorithm for Demand Side Management in a Grid-Connected Smart Microgrid

Directory of Open Access Journals (Sweden)

Omowunmi Mary Longe

2017-06-01

Full Text Available The contributions of Distributed Energy Generation (DEG and Distributed Energy Storage (DES for Demand Side Management (DSM purposes in a smart macrogrid or microgrid cannot be over-emphasised. However, standalone DEG and DES can lead to under-utilisation of energy generation by consumers and financial investments; in grid-connection mode, though, DEG and DES can offer arbitrage opportunities for consumers and utility provider(s. A grid-connected smart microgrid comprising heterogeneous (active and passive smart consumers, electric vehicles and a large-scale centralised energy storage is considered in this paper. Efficient energy management by each smart entity is carried out by the proposed Microgrid Energy Management Distributed Optimisation Algorithm (MEM-DOA installed distributively within the network according to consumer type. Each smart consumer optimises its energy consumption and trading for comfort (demand satisfaction and profit. The proposed model was observed to yield better consumer satisfaction, higher financial savings, and reduced Peak-to-Average-Ratio (PAR demand on the utility grid. Other associated benefits of the model include reduced investment on peaker plants, grid reliability and environmental benefits. The MEM-DOA also offered participating smart consumers energy and tariff incentives so that passive smart consumers do not benefit more than active smart consumers, as was the case with some previous energy management algorithms.

A future Demand Side Management (DSM) opportunity for utility as variable renewable penetrate scale up using agriculture.

Science.gov (United States)

Ines, A.; Bhattacharjee, A.; Modi, V.; Robertson, A. W.; Lall, U.; Kocaman Ayse, S.; Chaudhary, S.; Kumar, A.; Ganapathy, A.; Kumar, A.; Mishra, V.

2015-12-01

Energy demand management, also known as demand side management (DSM), is the modification of consumer demand for energy through various methods such as smart metering, incentive based schemes, payments for turning off loads or rescheduling loads. Usually, the goal of demand side management is to encourage the consumer to use less power during periods of peak demand, or to move the time of energy use to off-peak times. Peak demand management does not necessarily decrease total energy consumption, but could be expected to reduce the need for investments in networks and/or power plants for meeting peak demands. Electricity use can vary dramatically on short and medium time frames, and the pricing system may not reflect the instantaneous cost as additional higher-cost that are brought on-line. In addition, the capacity or willingness of electricity consumers to adjust to prices by altering elasticity of demand may be low, particularly over short time frames. In the scenario of Indian grid setup, the retail customers do not follow real-time pricing and it is difficult to incentivize the utility companies for continuing the peak demand supply. A question for the future is how deeper penetration of renewable will be handled? This is a challenging problem since one has to deal with high variability, while managing loss of load probabilities. In the case of managing the peak demand using agriculture, in the future as smart metering matures with automatic turn on/off for a pump, it will become possible to provide an ensured amount of water or energy to the farmer while keeping the grid energized for 24 hours. Supply scenarios will include the possibility of much larger penetration of solar and wind into the grid. While, in absolute terms these sources are small contributors, their role will inevitably grow but DSM using agriculture could help reduce the capital cost. The other option is of advancing or delaying pump operating cycle even by several hours, will still ensure

Demand-side management and European environmental and energy goals: An optimal complementary approach

International Nuclear Information System (INIS)

Bergaentzlé, Claire; Clastres, Cédric; Khalfallah, Haikel

2014-01-01

Demand side management (DSM) in electricity markets could improve energy efficiency and achieve environmental targets through controlled consumption. For the past 10 years or so DSM programmes have registered significant results. However, detailed analysis of its real impact as observed by a large number of pilot studies suggests that such programmes need to be fine-tuned to suit clearly identified conditions. This study aims to provide recommendations for the instruments to be used to prompt demand response with a view to maximizing energy and environmental efficiencies of various countries. The present study suggests that different DSM models should be deployed depending on the specific generation mix in any given country. Beside the natural benefits from cross-borders infrastructures, DSM improves the flexibility and reliability of the energy system, absorbing some shock on generation mix. We show efficiency increases with demand response but at a decreasing rate. So, according to rebound and report effects, simple DSM tools could be preferred. - Highlights: • Demand side management could improve energy and environmental efficiency. • Several instruments should be used to achieve significant load-shedding. • DSM models should be deployed depending on generation mix. • Efficiency increases with demand response but at a decreasing rate. • Rebound and report effects reduce positive impacts

Optical power equalization for upstream traffic with injection-locked Fabry-Perot lasers in TDM-PON

Science.gov (United States)

Huang, Ting-Tsan; Sheu, Lih-Gen; Chi, Sien

2010-10-01

An optical power equalization of upstream traffic in time-division-multiplexed passive optical network (TDM-PON) based on injection-locked Fabry-Perot lasers has been experimentally investigated. The upstream transmitters with stable spectrum are achieved by using an external injection light source in the optical line terminal (OLT). The different upstream powers can be equalized by injection locking a Fabry-Perot laser diode (FP-LD) biased below threshold current in OLT. The dynamic upstream power range from - 8.5 to - 19.5 db m is reduced to a 1.6 dB maximal power variation, when the uplink signal is directly modulated at 1.25 Gb/s.

Technology Maturation in Preparation for the Cryogenic Propellant Storage and Transfer (CPST) Technology Demonstration Mission (TDM)

Science.gov (United States)

Meyer, Michael L.; Doherty, Michael P.; Moder, Jeffrey P.

2014-01-01

In support of its goal to find an innovative path for human space exploration, NASA embarked on the Cryogenic Propellant Storage and Transfer (CPST) Project, a Technology Demonstration Mission (TDM) to test and validate key cryogenic capabilities and technologies required for future exploration elements, opening up the architecture for large in-space cryogenic propulsion stages and propellant depots. Recognizing that key Cryogenic Fluid Management (CFM) technologies anticipated for on-orbit (flight) demonstration would benefit from additional maturation to a readiness level appropriate for infusion into the design of the flight demonstration, the NASA Headquarters Space Technology Mission Directorate (STMD) authorized funding for a one-year technology maturation phase of the CPST project. The strategy, proposed by the CPST Project Manager, focused on maturation through modeling, concept studies, and ground tests of the storage and fluid transfer of CFM technology sub-elements and components that were lower than a Technology Readiness Level (TRL) of 5. A technology maturation plan (TMP) was subsequently approved which described: the CFM technologies selected for maturation, the ground testing approach to be used, quantified success criteria of the technologies, hardware and data deliverables, and a deliverable to provide an assessment of the technology readiness after completion of the test, study or modeling activity. The specific technologies selected were grouped into five major categories: thick multilayer insulation, tank applied active thermal control, cryogenic fluid transfer, propellant gauging, and analytical tool development. Based on the success of the technology maturation efforts, the CPST project was approved to proceed to flight system development.

Workshops capacity building for agricultural water demand management; final report

NARCIS (Netherlands)

Vehmeijer, P.W.; Wolters, W.

2004-01-01

Agricultural Water Demand Management (AWDM) is at the core of the Water for Food Programme launched as a result of a pledge by the Netherlands' Minister for Agriculture at the 2nd World Water Forum in March 2000, The Hague. One of the projects that was started after the March 2000 pledge was

Optimisation of key performance measures in air cargo demand management

Directory of Open Access Journals (Sweden)

Alexander May

2014-04-01

Full Text Available This article sought to facilitate the optimisation of key performance measures utilised for demand management in air cargo operations. The focus was on the Revenue Management team at Virgin Atlantic Cargo and a fuzzy group decision-making method was used. Utilising intelligent fuzzy multi-criteria methods, the authors generated a ranking order of ten key outcome-based performance indicators for Virgin Atlantic air cargo Revenue Management. The result of this industry-driven study showed that for Air Cargo Revenue Management, ‘Network Optimisation’ represents a critical outcome-based performance indicator. This collaborative study contributes to existing logistics management literature, especially in the area of Revenue Management, and it seeks to enhance Revenue Management practice. It also provides a platform for Air Cargo operators seeking to improve reliability values for their key performance indicators as a means of enhancing operational monitoring power.

Handling Uncertain Gross Margin and Water Demand in Agricultural Water Resources Management using Robust Optimization

Science.gov (United States)

Chaerani, D.; Lesmana, E.; Tressiana, N.

2018-03-01

In this paper, an application of Robust Optimization in agricultural water resource management problem under gross margin and water demand uncertainty is presented. Water resource management is a series of activities that includes planning, developing, distributing and managing the use of water resource optimally. Water resource management for agriculture can be one of the efforts to optimize the benefits of agricultural output. The objective function of agricultural water resource management problem is to maximizing total benefits by water allocation to agricultural areas covered by the irrigation network in planning horizon. Due to gross margin and water demand uncertainty, we assume that the uncertain data lies within ellipsoidal uncertainty set. We employ robust counterpart methodology to get the robust optimal solution.

A Water Demand Management Strategy For The Namibian Tourism Sector

Science.gov (United States)

Schachtschneider, K.; Winter, K.

The arid conditions of Namibia are forcing its decision-makers to resort to new wa- ter resource management approaches, including Water Demand Management (WDM). When Namibia achieved its independence from South Africa 1990, a new opportunity arose to rewrite certain restrictive laws and policies in order to bring about redress, development and transformation. The new Water Policy is one example in which the mindset is changed from a supply to a demand oriented water management ap- proach. Legal support for WDM within the new Water Act is a critical component that will support the implementation of WDM in all economic sectors, such as agri- culture, mining and tourism. It is argued that an appropriate WDM strategy should be designed specifically for each sector, once the typical water use patterns in a sec- tor are understood and key water resource managers at all levels are identified. The Namibian tourism sector is geographically dispersed and control over its operations is compounded by the fact that it is frequently located in extremely remote areas that are arid and ecologically sensitive. In general, WDM is rarely practised, because it is not yet supported by law and there are currently no institutional arrangements to con- trol water use in this geographically dispersed industrial sector through which WDM could be enforced either through metering and/or payments. Managers of tourist en- terprises undertake most of the water management themselves, and have been identi- fied as being crucial to the implementation of WDM strategies. A study of six tourist facilities determined the willingness and motivation of these managers to undertake various WDM initiatives. The study identified three factors which appear to influence the actions of managers, namely external controls, economics and company ethics. It is recommended that a tourism sector WDM strategy should focus on these three factors in order to transform the WDM aims and objectives on the policy level into

Modulation strategies of integrated HVAC systems used in residential buildings for demand-side management at different scales

OpenAIRE

Georges, Emeline

2017-01-01

The integration of renewable energy sources in the electricity production mix has an important impact on the management of the electricity grid, due to their intermittency. In particular, to ensure grid balancing, there is a rising need for flexibility, both on the supply and demand sides. A possible solution to help achieve grid balancing is the smart modulation of the electrical load in a "demand following supply" scheme through demand-side management. In this context, the objective of...

Demand Side Management for the European Supergrid: Occupancy variances of European single-person households

International Nuclear Information System (INIS)

Torriti, Jacopo

2012-01-01

The prospect of a European Supergrid calls for research on aggregate electricity peak demand and Europe-wide Demand Side Management. No attempt has been made as yet to represent a time-related demand curve of residential electricity consumption at the European level. This article assesses how active occupancy levels of single-person households vary in single-person household in 15 European countries. It makes use of occupancy time-series data from the Harmonised European Time Use Survey database to build European occupancy curves; identify peak occupancy periods; construct time-related electricity demand curves for TV and video watching activities and assess occupancy variances of single-person households. - Highlights: ► Morning peak occupancies of European single households tale place between 7h30 and 7h40. ► Evening peaks take place between 20h10 and 20h20. ► TV and video activities during evening peaks make up about 3.1 GWh of European peak electricity load. ► Baseline and peak occupancy variances vary across countries. ► Baseline and peak occupancy variances can be used as input for Demand Side Management choices.

When the 'soft-path' gets hard: demand management and financial instability for water utilities

Science.gov (United States)

Zeff, H. B.; Characklis, G. W.

2014-12-01

In the past, cost benefit analysis (CBA) has been viewed as an effective means of evaluating water utility strategies, particularly those that were dependent on the construction of new supply infrastructure. As water utilities have begun to embrace 'soft-path' approaches as a way to reduce the need for supply-centric development, CBA fails to recognize some important financial incentives affected by reduced water consumption. Demand management, both as a short-term response to drought and in longer-term actions to accommodate demand growth, can introduce revenue risks that adversely affect a utility's ability to repay debt, re-invest in aging infrastructure, or maintain reserve funds for use in a short-term emergency. A utility that does not generate sufficient revenue to support these functions may be subject to credit rating downgrades, which in turn affect the interest rate it pays on its debt. Interest rates are a critical consideration for utility managers in the capital-intensive water sector, where debt payments for infrastructure often account for a large portion of a utility's overall costs. Even a small increase in interest rates can add millions of dollars to the cost of new infrastructure. Recent studies have demonstrated that demand management techniques can lead to significant revenue variability, and credit rating agencies have begun to take notice of drought response plans when evaluating water utility credit ratings, providing utilities with a disincentive to fully embrace soft-path approaches. This analysis examines the impact of demand management schemes on key credit rating metrics for a water utility in Raleigh, North Carolina. The utility's consumer base is currently experiencing rapid population growth, and demand management has the potential to reduce the dependence on costly new supply infrastructure but could lead to financial instability that will significantly increase the costs of financing future projects. This work analyzes how 'soft

Indirect Control for Demand Side Management – A Conceptual Introduction

DEFF Research Database (Denmark)

Heussen, Kai; You, Shi; Biegel, Benjamin

2012-01-01

The concept of “indirect control” has become a relevant discussion term in relation to activation distributed and small-scale demand and generation units to provide resources for power system balancing. The term and its association with price signals has, however caused some confusion as to its...... correct definition, either as a control or a market concept. This paper aims to provide a conceptual introduction to "indirect control" for management of small and distributed demand side resources. A review of control concepts and an analysis of "indirectness" features are provided to create a framework...... for systematic classification of indirect control strategies. The concepts developed then enable a discussion of control performance and valuation of direct- and indirect control strategies....

Developing a technique that predicts the impacts of TDM on a transportation system.

Science.gov (United States)

2010-02-01

Given declining resources, pressing problems, and environmental constraints, state departments of transportation (DOTs) are increasingly motivated to manage peak demand of vehicle trips as a way to mitigate congestion and improve overall performance ...

Global Supply and Demand of Opioids for Pain Management.

Science.gov (United States)

Kunnumpurath, Sreekumar; Julien, Natasha; Kodumudi, Gopal; Kunnumpurath, Anamika; Kodumudi, Vijay; Vadivelu, Nalini

2018-04-04

The goal of this review is to evaluate the global supply and demand of opioids used for pain management and discuss how it relates to the utilization of opioids around the world. The purpose of the review is also to determine the factors that contribute to inappropriate pain management. The total global production of opium for opioid manufacturing is enough to supply the growing global demands. However, licit opioids are only consumed by 20% of the world population. Most people throughout the world had no access to opioid analgesics for pain relief in case of need. Opioid misuse and abuse is not only a phenomena plague by the USA but globally across many countries. Many countries have a lack of availability of opioids, contributing factors being strict government regulations limiting access, lack of knowledge of the efficacy of opioid analgesics in treating acute and chronic pain and palliative care, and the stigma that opioids are highly addictive. For the countries in which opioids are readily available and prescribed heavily, diversion, misuse, abuse, and the resurgence of heroin have become problems leading to morbidity and mortality. It is pertinent to find a balance between having opioids accessible to patients in need, with ensuring that opioids are regulated along with other illicit drugs to decrease abuse potential.

Machine learning for identifying demand patterns of home energy management systems with dynamic electricity pricing

NARCIS (Netherlands)

Koolen, D. (Derck); Sadat-Razavi, N. (Navid); W. Ketter (Wolfgang)

2017-01-01

textabstractEnergy management plays a crucial role in providing necessary system flexibility to deal with the ongoing integration of volatile and intermittent energy sources. Demand Response (DR) programs enhance demand flexibility by communicating energy market price volatility to the end-consumer.

Demand side management. Benefits and challenges

International Nuclear Information System (INIS)

Strbac, Goran

2008-01-01

In this paper, the major benefits and challenges of electricity demand side management (DSM) are discussed in the context of the UK electricity system. The relatively low utilisation of generation and networks (of about 50%) means that there is significant scope for DSM to contribute to increasing the efficiency of the system investment. The importance of the diversity of electricity load is discussed and the negative effects of DSM on load diversity illustrated. Ageing assets, the growth in renewable and other low-carbon generation technologies and advances in information and communication technologies are identified as major additional drivers that could lead to wider applications of DSM in the medium term. Potential benefits of DSM are discussed in the context of generation and of transmission and distribution networks. The provision of back-up capacity by generation may not be efficient as it will be needed relatively infrequently, and DSM may be better placed to support security. We also present an analysis of the value of DSM in balancing generation and demand in a future UK electricity system with significant variable renewable generation. We give a number of reasons for the relatively slow uptake of DSM, particularly in the residential, commercial and small business sectors. They include a lack of metering, information and communication infrastructure, lack of understanding of the benefits of DSM, problems with the competitiveness of DSM when compared with traditional approaches, an increase in the complexity of system operation and inappropriate market incentives. (author)

Evaluation of Stock Management Strategies Reliability at Dependent Demand

Directory of Open Access Journals (Sweden)

Lukinskiy Valery

2017-03-01

Full Text Available For efficiently increasing the logistic systems, the core specialists’ attention has to be directed to reducing costs and increasing supply chains reliability. A decent attention to costs reduction has already been paid, so it can be stated that in this way there is a significant progress. But the problem of reliability evaluation is still insufficiently explored, particularly, in such an important sphere as inventory management at the dependent demand.

Optimal Multi-scale Demand-side Management for Continuous Power-Intensive Processes

Science.gov (United States)

Mitra, Sumit

With the advent of deregulation in electricity markets and an increasing share of intermittent power generation sources, the profitability of industrial consumers that operate power-intensive processes has become directly linked to the variability in energy prices. Thus, for industrial consumers that are able to adjust to the fluctuations, time-sensitive electricity prices (as part of so-called Demand-Side Management (DSM) in the smart grid) offer potential economical incentives. In this thesis, we introduce optimization models and decomposition strategies for the multi-scale Demand-Side Management of continuous power-intensive processes. On an operational level, we derive a mode formulation for scheduling under time-sensitive electricity prices. The formulation is applied to air separation plants and cement plants to minimize the operating cost. We also describe how a mode formulation can be used for industrial combined heat and power plants that are co-located at integrated chemical sites to increase operating profit by adjusting their steam and electricity production according to their inherent flexibility. Furthermore, a robust optimization formulation is developed to address the uncertainty in electricity prices by accounting for correlations and multiple ranges in the realization of the random variables. On a strategic level, we introduce a multi-scale model that provides an understanding of the value of flexibility of the current plant configuration and the value of additional flexibility in terms of retrofits for Demand-Side Management under product demand uncertainty. The integration of multiple time scales leads to large-scale two-stage stochastic programming problems, for which we need to apply decomposition strategies in order to obtain a good solution within a reasonable amount of time. Hence, we describe two decomposition schemes that can be applied to solve two-stage stochastic programming problems: First, a hybrid bi-level decomposition scheme with

Machine Learning for Identifying Demand Patterns of Home Energy Management Systems with Dynamic Electricity Pricing

Directory of Open Access Journals (Sweden)

Derck Koolen

2017-11-01

Full Text Available Energy management plays a crucial role in providing necessary system flexibility to deal with the ongoing integration of volatile and intermittent energy sources. Demand Response (DR programs enhance demand flexibility by communicating energy market price volatility to the end-consumer. In such environments, home energy management systems assist the use of flexible end-appliances, based upon the individual consumer’s personal preferences and beliefs. However, with the latter heterogeneously distributed, not all dynamic pricing schemes are equally adequate for the individual needs of households. We conduct one of the first large scale natural experiments, with multiple dynamic pricing schemes for end consumers, allowing us to analyze different demand behavior in relation with household attributes. We apply a spectral relaxation clustering approach to show distinct groups of households within the two most used dynamic pricing schemes: Time-Of-Use and Real-Time Pricing. The results indicate that a more effective design of smart home energy management systems can lead to a better fit between customer and electricity tariff in order to reduce costs, enhance predictability and stability of load and allow for more optimal use of demand flexibility by such systems.

Challenges of using model predictive control for active demand side management

DEFF Research Database (Denmark)

Zong, Yi; You, Shi; Hu, Junjie

2015-01-01

When there is a high penetration of renewables in the power system, it requires coordinated management of large numbers of distributed and demand response resources, intermittent resources to maintain the grid reliability and improve operational economics. This paper presents a hierarchical...... and dynamic power price signals....

Accurate Estimation of Target amounts Using Expanded BASS Model for Demand-Side Management

Science.gov (United States)

Kim, Hyun-Woong; Park, Jong-Jin; Kim, Jin-O.

2008-10-01

The electricity demand in Korea has rapidly increased along with a steady economic growth since 1970s. Therefore Korea has positively propelled not only SSM (Supply-Side Management) but also DSM (Demand-Side Management) activities to reduce investment cost of generating units and to save supply costs of electricity through the enhancement of whole national energy utilization efficiency. However study for rebate, which have influence on success or failure on DSM program, is not sufficient. This paper executed to modeling mathematically expanded Bass model considering rebates, which have influence on penetration amounts for DSM program. To reflect rebate effect more preciously, the pricing function using in expanded Bass model directly reflects response of potential participants for rebate level.

Water demand and supply co-adaptation to mitigate climate change impacts in agricultural water management

Science.gov (United States)

Giuliani, Matteo; Mainardi, Matteo; Castelletti, Andrea; Gandolfi, Claudio

2013-04-01

Agriculture is the main land use in the world and represents also the sector characterised by the highest water demand. To meet projected growth in human population and per-capita food demand, agricultural production will have to significantly increase in the next decades. Moreover, water availability is nowadays a limiting factor for agricultural production, and is expected to decrease over the next century due to climate change impacts. To effectively face a changing climate, agricultural systems have therefore to adapt their strategies (e.g., changing crops, shifting sowing and harvesting dates, adopting high efficiency irrigation techniques). Yet, farmer adaptation is only one part of the equation because changes in water supply management strategies, as a response to climate change, might impact on farmers' decisions as well. Despite the strong connections between water demand and supply, being the former dependent on agricultural practices, which are affected by the water available that depends on the water supply strategies designed according to a forecasted demand, an analysis of their reciprocal feedbacks is still missing. Most of the recent studies has indeed considered the two problems separately, either analysing the impact of climate change on farmers' decisions for a given water supply scenario or optimising water supply for different water demand scenarios. In this work, we explicitly connect the two systems (demand and supply) by activating an information loop between farmers and water managers, to integrate the two problems and study the co-evolution and co-adaptation of water demand and water supply systems under climate change. The proposed approach is tested on a real-world case study, namely the Lake Como serving the Muzza-Bassa Lodigiana irrigation district (Italy). In particular, given an expectation of water availability, the farmers are able to solve a yearly planning problem to decide the most profitable crop to plant. Knowing the farmers

Industrial demand side management: A status report

Energy Technology Data Exchange (ETDEWEB)

Hopkins, M.F.; Conger, R.L.; Foley, T.J. [and others

1995-05-01

This report provides an overview of and rationale for industrial demand side management (DSM) programs. Benefits and barriers are described, and data from the Manufacturing Energy Consumption Survey are used to estimate potential energy savings in kilowatt hours. The report presents types and examples of programs and explores elements of successful programs. Two in-depth case studies (from Boise Cascade and Eli Lilly and Company) illustrate two types of effective DSM programs. Interviews with staff from state public utility commissions indicate the current thinking about the status and future of industrial DSM programs. A comprehensive bibliography is included, technical assistance programs are listed and described, and a methodology for evaluating potential or actual savings from projects is delineated.

Eviromental Economic and Technological Residues Management Demands: An Optimization Tool.

Directory of Open Access Journals (Sweden)

Marisa Soares Borges

2012-12-01

Full Text Available Industrial residues management is a very demanding task since many different goals must be achieved. The combination of different approaches used by people from different stuff is very challenging activity that can misuse the residues potential value and applicability. An interactive WEB base tool, to integrate different sectors and overcome residues management difficulties will be presented. The system must be loaded with all data concerning the residue life cycle, and through data integration and modeling routine will give the best alternative as output. As wider and complete the system data becomes, by information loading from differen t segment, more efficient the residues management becomes. The user friendly tool will encourage the participation of industries, labs and research institutions to obtain qualified information about industrial residues inventory, raw materials recovery, characteristics, treatment and alternative uses, to achieve residues management sustainability.

TDM interrogation of intensity-modulated USFBGs network based on multichannel lasers.

Science.gov (United States)

Rohollahnejad, Jalal; Xia, Li; Cheng, Rui; Ran, Yanli; Rahubadde, Udaya; Zhou, Jiaao; Zhu, Lin

2017-01-23

We report a large-scale multi-channel fiber sensing network, where ultra-short FBGs (USFBGs) instead of conventional narrow-band ultra-weak FBGs are used as the sensors. In the time division multiplexing scheme of the network, each grating response is resolved as three adjacent discrete peaks. The central wavelengths of USFBGs are tracked with the differential detection, which is achieved by calculating the peak-to-peak ratio of two maximum peaks. Compared with previous large-scale hybrid multiplexing sensing networks (e.g., WDM/TDM) which typically have relatively low interrogation speed and very high complexity, the proposed system can achieve interrogation of all channel sensors through very fast and simple intensity measurements with a broad dynamic range. A proof-of-concept experiment with twenty USFBGs, at two wavelength channels, was performed and a fast static strain measurements were demonstrated, with a high average sensitivity of ~0.54dB/µƐ and wide dynamic range of over ~3000µƐ. The channel to channel switching time was 10ms and total network interrogation time was 50ms.

Daily Use of Energy Management Strategies and Occupational Well-being: The Moderating Role of Job Demands

OpenAIRE

Parker, Stacey L.; Zacher, Hannes; de Bloom, Jessica; Verton, Thomas M.; Lentink, Corine R.

2017-01-01

We examine the relationships among employees’ use of energy management strategies and two occupational well-being outcomes: job satisfaction and emotional exhaustion. Based on conservation of resources theory, it was hypothesized that employees with high job demands would benefit more from using energy management strategies (i.e., including prosocial, organizing, and meaning-related strategies), compared to employees with low job demands. We tested this proposition using a quantitative diary ...

Energy management for vehicle power net with flexible electric load demand

NARCIS (Netherlands)

Kessels, J.T.B.A.; Bosch, van den P.P.J.; Koot, M.W.T.; Jager, de A.G.

2005-01-01

The electric power demand in road vehicles increases rapidly and to supply all electric loads efficiently, energy management (EM) turns out to be a necessity. In general, EM exploits the storage capacity of a buffer connected to the vehicle's power net, such that energy is stored or retrieved at

A Multi-Objective Demand Side Management Considering ENS Cost in Smart Grids

DEFF Research Database (Denmark)

Yousefi Khanghah, Babak; Ghassemzadeh, Saeid; Hosseini, Seyed Hossein

2017-01-01

In this paper a new method is presented to achieve economic exploitation and proper usage of network capacity by exerting controlling actions over flexible loads and energy storage (ES) equipment. Multi-objective planning for demand response programs (DRP) and battery management policies is carried...... out by considering energy not supplied (ENS). In order to achieve an optimal scheduling, charge/discharge control for batteries, demand response programs and dispatch of controllable distributed generations (DGs) are also considered. Then, the balanced cost and benefits of participants are evaluated...

DSM [demand-side management] opportunities in Alberta: An economist's perspective

International Nuclear Information System (INIS)

Woodward, R.S.

1990-01-01

In Alberta, utility companies are placing increasing attention on demand-side management (DSM) as one option for meeting future demand. Some basic economic principles are provided to yield a guideline on how much a utility should be spending on DSM initiatives. For the case of financial incentives to customers, it is shown that subsidies based on sound economic principles will enable the utility to charge lower overall rates to customers receiving the subsidy without raising other customers' rates. Moving outside of a well-understood market-based system and into a fully centralized planning approach to DSM eliminates a critical link between utilities and their customers. In Alberta, DSM measures appropriate in other regions will not be appropriate due to the province's unique supply and demand characteristics. Most of Alberta's electricity supply comes from low-cost coal-fired plants. On the demand-side, there is a significant concentration of large industrial and commercial consumers, notably in the oil and gas industry, and there is essentially no demand for electric heating in homes since natural gas is very abundant. The Alberta integrated power system currently operates at a load factor of ca 77%, reflecting the large industrial demand and the absence of a winter peaking effect associated with electrical heating requirements. A relatively small difference in embedded and incremental electricity supply costs means that utilities have little to spend on DSM programs. The identification of cost-effective DSM opportunities, most of which are likely to be found in the industrial sector, requires a considerable amount of detailed information on consumer behavior and close collaboration between utility and customer

Efficient network resource management for multimedia-on-demand services

Science.gov (United States)

Kuo, Chinhwa; Chiu, Jui-Hwa; Wu, Jong-Jyh; Chen, Dxo-Shin

1998-08-01

A Multimedia Instruction on Demand (MID) serves the purpose of providing an environment for lecture design, lecture annotation, and lecture review over networks. In order to support real-time multimedia interactive playback for such an application, the underlying networks are required to provide network resource management mechanism to enforce the reservation policy. In our design, the MID server and MID gateway consist of the following mechanisms, namely, resource management agent, admission control agent, packet classifier, and packet scheduler. We make use of the framework of the ReSerVation Protocol to devise and implement a network resource management mechanism, which control end-to-end packet delays and bandwidth allocation for the designed MID system. In the present paper, our contributions are as follows: (1) a network resource management scheme is designed to support real-time multimedia over the Internet and (2) an experimental test bed is established to measure the system performance. The developed scheme is currently being implemented in the Multimedia Information Networking laboratory at Tamkang University.

Developing Talent from a Supply-Demand Perspective: An Optimization Model for Managers

OpenAIRE

Moheb-Alizadeh, Hadi; Handfield, Robert B.

2017-01-01

While executives emphasize that human resources (HR) are a firm's biggest asset, the level of research attention devoted to planning talent pipelines for complex global organizational environments does not reflect this emphasis. Numerous challenges exist in establishing human resource management strategies aligned with strategic operations planning and growth strategies. We generalize the problem of managing talent from a supply-demand standpoint through a resource acquisition lens, to an ind...

Renewable generation versus demand-side management. A comparison for the Spanish market

International Nuclear Information System (INIS)

Roldán Fernández, Juan Manuel; Burgos Payán, Manuel; Riquelme Santos, Jesús Manuel; Trigo García, Ángel Luis

2016-01-01

Conventionally the required instantaneous balance generation-load is achieved by adjusting production to fit variable consumer demand. Nowadays, a significant and increasing segment of generation is renewable. But renewable production cannot be scheduled on request since its generation is dependent on nature (wind, sun, …). In this context, demand-side management (DSM) would help since it would be advisable for part of the flexibility to be provided by the demand. The integration of renewable production and demand-side management (DSM), are compared in this work for Spain throughout 2008–2014. First a qualitative model, based on the linearization of the wholesale market, is employed to explore some hypotheses. A set of scenarios are then examined to quantify the main effects on the market. The results show that DSM exhibits the best performance in terms of economic efficiency and environmental sustainability, as well as for the reduction of load peaks and losses in the system, what suggests the convenience of promoting plans for the replacement of equipment with other more efficient as well as the implementation of real-time tariffs. - Highlights: •The impact of the integration of renewable production versus DSM has been compared. •Merit-order effect related to energy efficiency and to load-shifting is identified. •Large industries achieve energy efficiency with less CAPEX than renewable generation. •Load-shifting cycle yields a reduction of the traded energy and the economic volume.

A Study on strengthening demand management of energy price

Energy Technology Data Exchange (ETDEWEB)

Seo, Jung Hwan [Korea Energy Economics Institute, Euiwang (Korea)

1999-02-01

Until 1980s, energy sector had been operated as a monopoly of public enterprises in most countries. Price regulation of government had an influence on energy supply and demand by not fully giving information on market situation (supply and demand). Recently, as energy related technology and information technology have developed, the developed countries including UK and some developing countries could raise efficiency of industry through competitive market by recognizing the limit of government regulation and opening up many sectors of energy industry to the private sector. Korea is also implementing a measure for introducing competition through the participation of private sector into electricity and natural gas industries step by step. If the private sector is participated and competition is introduced, energy price cannot be a policy instrument setting up by the government, so demand management through price regulation is meaningless. Under such circumstances, a policy function should be converted to the direction of promoting competition and increasing market efficiency. In this study, it examines how the government regulation and industry has been changed through the transition of natural gas and electricity industries in UK, USA, and France and then it tries to derive suggestions to Korea. (author). 49 refs., 58 figs., 32 tabs.

US EPA's photovoltaic demand-side management project. Report for September 1992-July 1993

International Nuclear Information System (INIS)

Kern, E.C.; Spiegel, R.J.

1993-01-01

The paper discusses an investigation of how photovoltaics (PV) may be used as both a pollution-mitigating energy replacement for fossil fuels and a demand-side management (DSM) option to reduce peak electrical demands of commercial and residential buildings. Eleven electric utilities are partners in this first nationwide demonstration of PV DSM. The approach is to install and monitor standardized PV systems in diverse geographic areas with varying solar energy resource and electric power demand, production, and cost conditions. The systems are being monitored for a year to record direct and diffuse irradiance, ambient air temperature, PV power generation, and building loads. Utilities are providing the electric system operations data needed to determine the pollution mitigation and peak demand reduction that can result from the PV electrical power generation

Supply shortage forecast in Ontario: The significance of demand-side management (DSM); its tools and techniques

International Nuclear Information System (INIS)

Saini, S.

2004-01-01

Aspects of the recent report by the Ontario Electricity Conservation and Supply Task Force and Independent Market Operator which forecasts acute power supply shortages in Ontario, are discussed. Immediate action is recommended to avert the problem. The principal recommendation concerns the adoption of Demand Side Management as a tool to reduce the widening gap between supply and demand, citing supply shortage, imports, high prices, deregulated market and environmental concerns as the driving forces which push for the adoption of DSM. It is claimed that DSM, through its tools such as Demand/Load Response Programs and Time-of-Use rates has the capacity to create the necessary balance between supply and demand more efficiently, and in a more timely fashion than supply side management. The demand for adoption of DSM is justified on the basis of a careful examination of the magnitude and significance of each of the driving forces affecting the electricity supply in Ontario, as well as the benefits and techniques of DSM designed to manage power shortages. Energy Conservation and Efficiency and Demand/Load Response Programs are discussed as the principal DSM techniques, while Dynamic/Real Time Pricing, Time-of-Use Rates, Automated /Smart Metering, Web-based/Communication Systems, Reliability-based Programs, Market/Price-based programs, and Types of Load Control are described as the principal tools used by DSM. DSM program approaches and strategies are also reviewed, along with a brief list of successful examples of DSM applications. 3 figs

Supply shortage forecast in Ontario: The significance of demand-side management (DSM); its tools and techniques

Energy Technology Data Exchange (ETDEWEB)

Saini, S.

2004-06-01

Aspects of the recent report by the Ontario Electricity Conservation and Supply Task Force and Independent Market Operator which forecasts acute power supply shortages in Ontario, are discussed. Immediate action is recommended to avert the problem. The principal recommendation concerns the adoption of Demand Side Management as a tool to reduce the widening gap between supply and demand, citing supply shortage, imports, high prices, deregulated market and environmental concerns as the driving forces which push for the adoption of DSM. It is claimed that DSM, through its tools such as Demand/Load Response Programs and Time-of-Use rates has the capacity to create the necessary balance between supply and demand more efficiently, and in a more timely fashion than supply side management. The demand for adoption of DSM is justified on the basis of a careful examination of the magnitude and significance of each of the driving forces affecting the electricity supply in Ontario, as well as the benefits and techniques of DSM designed to manage power shortages. Energy Conservation and Efficiency and Demand/Load Response Programs are discussed as the principal DSM techniques, while Dynamic/Real Time Pricing, Time-of-Use Rates, Automated /Smart Metering, Web-based/Communication Systems, Reliability-based Programs, Market/Price-based programs, and Types of Load Control are described as the principal tools used by DSM. DSM program approaches and strategies are also reviewed, along with a brief list of successful examples of DSM applications. 3 figs.

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids

Science.gov (United States)

Pop, Claudia; Cioara, Tudor; Antal, Marcel; Anghel, Ionut; Salomie, Ioan; Bertoncini, Massimo

2018-01-01

In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.). In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced. PMID:29315250

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids.

Science.gov (United States)

Pop, Claudia; Cioara, Tudor; Antal, Marcel; Anghel, Ionut; Salomie, Ioan; Bertoncini, Massimo

2018-01-09

In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.). In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced.

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids

Directory of Open Access Journals (Sweden)

Claudia Pop

2018-01-01

Full Text Available In this paper, we investigate the use of decentralized blockchain mechanisms for delivering transparent, secure, reliable, and timely energy flexibility, under the form of adaptation of energy demand profiles of Distributed Energy Prosumers, to all the stakeholders involved in the flexibility markets (Distribution System Operators primarily, retailers, aggregators, etc.. In our approach, a blockchain based distributed ledger stores in a tamper proof manner the energy prosumption information collected from Internet of Things smart metering devices, while self-enforcing smart contracts programmatically define the expected energy flexibility at the level of each prosumer, the associated rewards or penalties, and the rules for balancing the energy demand with the energy production at grid level. Consensus based validation will be used for demand response programs validation and to activate the appropriate financial settlement for the flexibility providers. The approach was validated using a prototype implemented in an Ethereum platform using energy consumption and production traces of several buildings from literature data sets. The results show that our blockchain based distributed demand side management can be used for matching energy demand and production at smart grid level, the demand response signal being followed with high accuracy, while the amount of energy flexibility needed for convergence is reduced.

Integrated sulphur management : gas, oil sands, reclamation and the challenges of fluctuating demand

International Nuclear Information System (INIS)

Pineau, R.

2009-01-01

International Commodities Export Corporation is a privately held company that provides fully integrated service offerings to add maximum value in designing, building, owning, and operating sulphur assets. The company also offers in-house, engineering, procurement and project management, as well as supply management, transportation and distribution services. It also has expertise in marine transportation. This presentation discussed integrated sulphur management, with particular focus on gas, oil sands, reclamation and the challenges of fluctuating demand. The presentation provided an overview of the sulphur market and oil sands sulphur. Key considerations for oil sands producers were also presented. The challenges of fluctuating demand include price and volume considerations; logistics; geography and distance to market; export/offshore versus domestic/United States; seasonal considerations; and an inelastic sulphur market. The presentation concluded with a status update of ICEC's initiative and the advantages of Prince Rupert, an economically viable export infrastructure to producers without onsite forming facilities. figs

Generation of flexible domestic load profiles to evaluate demand side management approaches

NARCIS (Netherlands)

Hoogsteen, Gerwin; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria

2016-01-01

Various Demand Side Management (DSM) approaches have been developed the last couple of years to avoid costly grid upgrades. However, evaluation of these DSM methodologies is usually restricted to a use-case specific example, making comparison between different DSM approaches hard. This paper

Therapeutic drug monitoring in pediatric IBD: current application and future perspectives.

Science.gov (United States)

Lega, Sara; Bramuzzo, Matteo; Dubinsky, Marla

2017-09-11

As the paradigm for IBD management is evolving from symptom control to the more ambitious goal of complete deep remission, the concept of personalized medicine, as a mean to deliver individualized treatment with the best effectiveness and safety profile, is becoming paramount. Therapeutic drug monitoring (TDM) is an essential part of personalized medicine wherein serum drug concentrations are used to guide drug dosing on an individual basis. The concept of TDM has been introduced in the field of IBD along with thiopurines, over a decade ago, and evolved around anti-TNFs therapies. In the era of biologics, TDM entered the clinical field to assist clinicians managing anti-TNF failure and its role is now moving toward the concept of "proactive" TDM with the goal to optimize drug exposure and prevent loss of response. Research in TDM is rapidly expanding: while the role of TDM with new biologics is under investigation, preliminary data suggest that software-systems support tools could be an opportunity to guide dosing choices and maximize the cost-benefit profile of therapies in the near future. The review discusses the current knowledge that poses the rationale for the use of TDM and the present and future role of TDM-based approaches in the management of pediatric IBD. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

High performance architecture design for large scale fibre-optic sensor arrays using distributed EDFAs and hybrid TDM/DWDM

Science.gov (United States)

Liao, Yi; Austin, Ed; Nash, Philip J.; Kingsley, Stuart A.; Richardson, David J.

2013-09-01

A distributed amplified dense wavelength division multiplexing (DWDM) array architecture is presented for interferometric fibre-optic sensor array systems. This architecture employs a distributed erbium-doped fibre amplifier (EDFA) scheme to decrease the array insertion loss, and employs time division multiplexing (TDM) at each wavelength to increase the number of sensors that can be supported. The first experimental demonstration of this system is reported including results which show the potential for multiplexing and interrogating up to 4096 sensors using a single telemetry fibre pair with good system performance. The number can be increased to 8192 by using dual pump sources.

Managing energy demand through transport policy: What can South Africa learn from Europe?

International Nuclear Information System (INIS)

Vanderschuren, Marianne; Lane, T.E.; Korver, W.

2010-01-01

For years, the world has enjoyed the luxury of inexpensive transport fuels, resulting in the continuous expansion of transport demand and vast improvements in mobility levels. The threat of peak oil and other environmental concerns, however, are forcing a paradigm shift in terms of transport planning. In recent times, many developed nations have been investigating alternative ways and means of weaning themselves off oil as the main transport energy source and managing transport energy demand. South Africa is a developing nation that, in terms of transportation technology and policy, lags behind developed countries. This presents South Africa with the opportunity to learn from other countries' triumphs and mistakes and to skip over obsolete investment patterns and ineffective policy. It needs to be determined what South Africa can do to bend the stream of continuously growing transport (energy) demand, without hampering growth in mobility. Solutions can potentially be found by looking at the European Union's past and present situation and responses. This paper summarises various European energy management transport policies. These policies are translated into a South African context-pros, cons and implementation viability are identified.

Managing energy demand through transport policy. What can South Africa learn from Europe?

Energy Technology Data Exchange (ETDEWEB)

Vanderschuren, Marianne [Centre for Transport Studies, Faculty of Engineering and the Built Environment, University of Cape Town, Private Bag, 7701 Rondebosch (South Africa); Lane, T.E. [Centre for Transport Studies, University of Cape Town (South Africa); Korver, W. [Goudappel Coffeng BV (Netherlands)

2010-02-15

For years, the world has enjoyed the luxury of inexpensive transport fuels, resulting in the continuous expansion of transport demand and vast improvements in mobility levels. The threat of peak oil and other environmental concerns, however, are forcing a paradigm shift in terms of transport planning. In recent times, many developed nations have been investigating alternative ways and means of weaning themselves off oil as the main transport energy source and managing transport energy demand. South Africa is a developing nation that, in terms of transportation technology and policy, lags behind developed countries. This presents South Africa with the opportunity to learn from other countries' triumphs and mistakes and to skip over obsolete investment patterns and in effective policy. It needs to be determined what South Africa can do to bend the stream of continuously growing transport (energy) demand, without hampering growth in mobility. Solutions can potentially be found by looking at the European Union's past and present situation and responses. This paper summarises various European energy management transport policies. These policies are translated into a South African context - pros, cons and implementation viability are identified. (author)

Managing energy demand through transport policy: What can South Africa learn from Europe?

Energy Technology Data Exchange (ETDEWEB)

Vanderschuren, Marianne, E-mail: marianne.vanderschuren@uct.ac.z [Centre for Transport Studies, Faculty of Engineering and the Built Environment, University of Cape Town, Private Bag, 7701 Rondebosch (South Africa); Lane, T.E., E-mail: lane.tanya@gmail.co [Centre for Transport Studies, University of Cape Town (South Africa); Korver, W., E-mail: WKorver@goudappel.n [Goudappel Coffeng BV (Netherlands)

2010-02-15

For years, the world has enjoyed the luxury of inexpensive transport fuels, resulting in the continuous expansion of transport demand and vast improvements in mobility levels. The threat of peak oil and other environmental concerns, however, are forcing a paradigm shift in terms of transport planning. In recent times, many developed nations have been investigating alternative ways and means of weaning themselves off oil as the main transport energy source and managing transport energy demand. South Africa is a developing nation that, in terms of transportation technology and policy, lags behind developed countries. This presents South Africa with the opportunity to learn from other countries' triumphs and mistakes and to skip over obsolete investment patterns and ineffective policy. It needs to be determined what South Africa can do to bend the stream of continuously growing transport (energy) demand, without hampering growth in mobility. Solutions can potentially be found by looking at the European Union's past and present situation and responses. This paper summarises various European energy management transport policies. These policies are translated into a South African context-pros, cons and implementation viability are identified.

Energy Optimization and Management of Demand Response Interactions in a Smart Campus

Directory of Open Access Journals (Sweden)

Antimo Barbato

2016-05-01

Full Text Available The proposed framework enables innovative power management in smart campuses, integrating local renewable energy sources, battery banks and controllable loads and supporting Demand Response interactions with the electricity grid operators. The paper describes each system component: the Energy Management System responsible for power usage scheduling, the telecommunication infrastructure in charge of data exchanging and the integrated data repository devoted to information storage. We also discuss the relevant use cases and validate the framework in a few deployed demonstrators.

Survey of Models on Demand, Customer Base-Line and Demand Response and Their Relationships in the Power Market

OpenAIRE

Heshmati, Almas

2012-01-01

The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated interest among researchers, consumers and producer organizations, managers, regulators and policymakers, This research reviews the growing literature on models used to study demand, consumer baseline (CBL) and demand response in the electricity market. After characterizing the general demand models, it reviews consumer baseline based on which further study the demand response...

Managing travel demand: Location recommendation for system efficiency based on mobile phone data

OpenAIRE

Leng, Yan; Rudolph, Larry; Pentland, Alex 'Sandy'; Zhao, Jinhua; Koutsopolous, Haris N.

2016-01-01

Growth in leisure travel has become increasingly significant economically, socially, and environmentally. However, flexible but uncoordinated travel behaviors exacerbate traffic congestion. Mobile phone records not only reveal human mobility patterns, but also enable us to manage travel demand for system efficiency. In this paper, we propose a location recommendation system that infers personal preferences while accounting for constraints imposed by road capacity in order to manage travel dem...

A distributed algorithm for demand-side management: Selling back to the grid.

Science.gov (United States)

Latifi, Milad; Khalili, Azam; Rastegarnia, Amir; Zandi, Sajad; Bazzi, Wael M

2017-11-01

Demand side energy consumption scheduling is a well-known issue in the smart grid research area. However, there is lack of a comprehensive method to manage the demand side and consumer behavior in order to obtain an optimum solution. The method needs to address several aspects, including the scale-free requirement and distributed nature of the problem, consideration of renewable resources, allowing consumers to sell electricity back to the main grid, and adaptivity to a local change in the solution point. In addition, the model should allow compensation to consumers and ensurance of certain satisfaction levels. To tackle these issues, this paper proposes a novel autonomous demand side management technique which minimizes consumer utility costs and maximizes consumer comfort levels in a fully distributed manner. The technique uses a new logarithmic cost function and allows consumers to sell excess electricity (e.g. from renewable resources) back to the grid in order to reduce their electric utility bill. To develop the proposed scheme, we first formulate the problem as a constrained convex minimization problem. Then, it is converted to an unconstrained version using the segmentation-based penalty method. At each consumer location, we deploy an adaptive diffusion approach to obtain the solution in a distributed fashion. The use of adaptive diffusion makes it possible for consumers to find the optimum energy consumption schedule with a small number of information exchanges. Moreover, the proposed method is able to track drifts resulting from changes in the price parameters and consumer preferences. Simulations and numerical results show that our framework can reduce the total load demand peaks, lower the consumer utility bill, and improve the consumer comfort level.

Dealing with Demand in Electric Grids with an Adaptive Consumption Management Platform

Directory of Open Access Journals (Sweden)

Diego M. Jiménez-Bravo

2018-01-01

Full Text Available The control of consumption in homes and workplaces is an increasingly important aspect if we consider the growing popularity of smart cities, the increasing use of renewable energies, and the policies of the European Union on using energy in an efficient and clean way. These factors make it necessary to have a system that is capable of predicting what devices are connected to an electrical network. For demand management, the system must also be able to control the power supply to these devices. To this end, we propose the use of a multiagent system that includes agents with advanced reasoning and learning capacities. More specifically, the agents incorporate a case-based reasoning system and machine learning techniques. Besides, the multiagent system includes agents that are specialized in the management of the data acquired and the electrical devices. The aim is to adjust the consumption of electricity in networks to the electrical demand, and this will be done by acting automatically on the detected devices. The proposed system provides promising results; it is capable of predicting what devices are connected to the power grid at a high success rate. The accuracy of the system makes it possible to act according to the device preferences established in the system. This allows for adjusting the consumption to the current demand situation, without the risk of important home appliances being switched off.

A model to assess water tariffs as part of water demand management

African Journals Online (AJOL)

... to calculate the predicted change in water use and the associated income. The model takes into account variation in price elasticity per tariff block. The effectiveness of the model as a planning tool is illustrated through an appropriate example. Keywords: water demand management, price elasticity, change in water tariff, ...

Renewable generation and demand response integration in micro-grids. Development of a new energy management and control system

Energy Technology Data Exchange (ETDEWEB)

Alvarez-Bel, C.; Escriva-Escriva, G.; Alcazar-Ortega, M. [Institute for Energy Engineering, Universitat Politecnica de Valencia, Valencia (Spain)

2013-11-15

The aim of this research resides in the development of an energy management and control system to control a micro-grid based on the use of renewable generation and demand resources to introduce the application of demand response concepts to the management of micro-grids in order to effectively integrate the demand side as an operation resource for the grid and improve energy efficiency of the elements. As an additional result, the evaluation of reductions in the total amount of CO2 emitted into the atmosphere due to the improvement of the energy efficiency of the system is assessed.

Report on the first Twente Data Management Workshop on XML Databases and Information Retrieval

NARCIS (Netherlands)

Hiemstra, Djoerd; Mihajlovic, V.

2004-01-01

The Database Group of the University of Twente initiated a new series of workshops called Twente Data Management workshops (TDM), starting with one on XML Databases and Information Retrieval which took place on 21 June 2004 at the University of Twente. We have set ourselves two goals for the

Demand-side management pricing options in electric utilities

International Nuclear Information System (INIS)

Sardana, P.; Herman, P.

1990-01-01

In 1989 Ontario Hydro implemented optional time-of-use (TOU) rates at the wholesale level for all municipal utilities in the province. At the same time, mandatory TOU rates were implemented for large users (customers with loads in excess of 5 MW) served by municipal utilities and Ontario Hydro's direct customers. To fully explore the potential of rate structures as demand-side management (DSM) tools, Ontario Hydro retained a consulting firm to carry out a survey of innovative rate structures in other jurisdications. The survey was intended to identify: the status quo of rate structures in other jurisdictions that were designed specifically to encourage DSM; a profile of the cost basis of the rate structures, for example whether traditional embedded cost of service analyses or contentious methods such as marginal cost pricing were used; whether innovative rates have been successful, and customer reactions and attitudes; and how innovative rates fit into the overall strategy of the utilities. It was found that TOU, interruptible and end-use targeted rates are the rate structures of choice for many utilities. Most are concerned with deferring capacity, reducing peak demand, and shifting load out of peak periods. Most utilities report success with their programs and satisfaction with the present form of the programs. 5 tabs

Development of assessment model for demand-side management investment programs in Korea

International Nuclear Information System (INIS)

Lee, Deok Ki; Park, Sang Yong; Park, Soo Uk

2007-01-01

The goal of this study is the development of the assessment model for demand-side management investment programs (DSMIPs) in the areas of natural gas and district heating. Demand-side management (DSM) is the process of managing the consumption of energy to optimize available and planned generation resources and DSMIPs are the actions conducted by energy suppliers to promote investment in the DSM. In this research, the analytic hierarchy process (AHP) method was used to develop a scientific and rational assessment model for DSMIPs. To apply the AHP method, assessment indicators for the assessment have been identified by using the concept of 'plan, do, see' and the decision-making hierarchy was established. Then AHP model was developed to set up the priorities of assessment indicators and a survey of experts from government and energy suppliers was carried out. Finally, the priorities of assessment indicators were calculated based on the result of survey using the AHP method. The assessment model developed from this research will actually be used to assess the results of DSMIPs, which is being carried out by Korea gas corporation (KOGAS) and Korea district heating corporation (KDHC). The use of the assessment model developed by this research is expected to contribute to enhance efficiency in planning, execution, and assessment of DSMIPs

Enabling technologies for demand management: Transport

International Nuclear Information System (INIS)

Smith, Roderick A.

2008-01-01

Rising transport demand is likely to be the biggest hurdle to reducing our greenhouse gas emissions. Globally and nationally, transport is consuming an ever increasing share of our total energy use. Furthermore, the bulk of energy used in transport comes from the burning of petroleum products. This brief paper summarises options arising from the two routes to reduce energy demand in transport: improved and more efficient use of existing and possible new transport modes, and the reduction of transport demand. In both areas, the prospects in the immediate and longer-term future are hedged with difficulties. Automobiles and aircraft have improved considerably in recent decades, but future improvements are likely to be incremental. The introduction of hydrogen as a fuel is appealing, but there are technical problems to be solved. Active reduction of demand for transport will require a decoupling of the link between demand and growth in gross domestic product. Globally, this will be very difficult to achieve. Various modes of public transport exist that are efficient in terms of their energy use per passenger kilometre. But they need large investments to make them more attractive than the automobile. However, population concentration in mega-cities, allied with congestion, will make such innovation essential. Policy measures can be assisted in their implementation by new technology, but will remain politically problematic

Evaluation of demand-side management programs

International Nuclear Information System (INIS)

Kolbe, A.L.; O'Loughlin, M.P.

1990-01-01

Over the past few years, the attention accorded to demand-side management (DSM) measures has called into question the traditional cost minimization approach for evaluating such programs. Two broad approaches to DSM seem to be generally used: one examining the problem from multiple perspectives and the other including various practical methods used in-house by utility planners. Whatever the standard used to evaluate DSM, there remains at least one problem which cannot be quantified. The customers who participate in a DSM program cannot only take into account the effects of DSM on their electricity bills; their comfort can also be affected. This lowering of comfort constitutes a legitimate cost which can explain why some apparently sensible DSM measures are not adopted. A method is proposed to incorporate this cost. It establishes a way to evaluate DSM program tradeoffs that, from the perspective of standard economic theory, maximizes social welfare; explains why at least one of the perspectives in the multiple perspective approach needs to be modified to incorporate all customer costs; and outlines how the proposed standard can be implemented. 8 refs

Coordinated Demand Response and Distributed Generation Management in Residential Smart Microgrids

DEFF Research Database (Denmark)

Anvari-Moghaddam, Amjad; Mokhtari, Ghassem; Guerrero, Josep M.

2016-01-01

potentials to increase the functionality of a typical demand-side management (DSM) strategy, and typical implementation of building-level DERs by integrating them into a cohesive, networked package that fully utilizes smart energy-efficient end-use devices, advanced building control/automation systems......Nowadays with the emerging of small-scale integrated energy systems (IESs) in form of residential smart microgrids (SMGs), a large portion of energy can be saved through coordinated scheduling of smart household devices and management of distributed energy resources (DERs). There are significant......, and an integrated communications architecture to efficiently manage energy and comfort at the end-use location. By the aid of such technologies, residential consumers have also the capability to mitigate their energy costs and satisfy their own requirements paying less attention to the configuration of the energy...

Constrained consumption shifting management in the distributed energy resources scheduling considering demand response

International Nuclear Information System (INIS)

Faria, Pedro; Vale, Zita; Baptista, Jose

2015-01-01

Highlights: • Consumption reduction and/or shift to several periods before and after. • Optimization problem for scheduling of demand response and distributed generation. • Minimization of the Virtual Power Player operation (remuneration) costs. • Demand response can be efficient to meet distributed generation shortages. • Consumers benefit with the remuneration of the participation in demand response. - Abstract: Demand response concept has been gaining increasing importance while the success of several recent implementations makes this resource benefits unquestionable. This happens in a power systems operation environment that also considers an intensive use of distributed generation. However, more adequate approaches and models are needed in order to address the small size consumers and producers aggregation, while taking into account these resources goals. The present paper focuses on the demand response programs and distributed generation resources management by a Virtual Power Player that optimally aims to minimize its operation costs taking the consumption shifting constraints into account. The impact of the consumption shifting in the distributed generation resources schedule is also considered. The methodology is applied to three scenarios based on 218 consumers and 4 types of distributed generation, in a time frame of 96 periods

A distributed algorithm for demand-side management: Selling back to the grid

Directory of Open Access Journals (Sweden)

Milad Latifi

2017-11-01

Full Text Available Demand side energy consumption scheduling is a well-known issue in the smart grid research area. However, there is lack of a comprehensive method to manage the demand side and consumer behavior in order to obtain an optimum solution. The method needs to address several aspects, including the scale-free requirement and distributed nature of the problem, consideration of renewable resources, allowing consumers to sell electricity back to the main grid, and adaptivity to a local change in the solution point. In addition, the model should allow compensation to consumers and ensurance of certain satisfaction levels. To tackle these issues, this paper proposes a novel autonomous demand side management technique which minimizes consumer utility costs and maximizes consumer comfort levels in a fully distributed manner. The technique uses a new logarithmic cost function and allows consumers to sell excess electricity (e.g. from renewable resources back to the grid in order to reduce their electric utility bill. To develop the proposed scheme, we first formulate the problem as a constrained convex minimization problem. Then, it is converted to an unconstrained version using the segmentation-based penalty method. At each consumer location, we deploy an adaptive diffusion approach to obtain the solution in a distributed fashion. The use of adaptive diffusion makes it possible for consumers to find the optimum energy consumption schedule with a small number of information exchanges. Moreover, the proposed method is able to track drifts resulting from changes in the price parameters and consumer preferences. Simulations and numerical results show that our framework can reduce the total load demand peaks, lower the consumer utility bill, and improve the consumer comfort level. Keywords: Energy, Systems engineering, Electrical engineering

An Auto Tuning Substation Peak Shaving Controller for Congestion Management Using Flexible Demand

DEFF Research Database (Denmark)

Sossan, Fabrizio; Marinelli, Mattia

2013-01-01

A closed loop substation peak shaving/congestion management controller for radial distribution networks is presented. The controller it uses an individual control signal in order to shift the consumption of a population of demand side resources, DSRs. The controller auto tunes its parameters on...

The emergent demand chain management: key features and illustration from the beef business

NARCIS (Netherlands)

Canever, M.D.; Trijp, van J.C.M.; Beers, G.

2008-01-01

Abstract Purpose - The paper seeks to delineate the emergence of demand chain management (DCM) from a theoretical perspective and to illustrate its occurrence in practice. Design/methodology/approach ¿ The DCM concept is examined empirically through a case study with retailers involved in the beef

Demand side management in households. Potentials and restraints of short-term power supply; Demand Side Management in Haushalten. Potenziale und Hemmnisse fuer kurzfristige Leistungsbereitstellung

Energy Technology Data Exchange (ETDEWEB)

Roon, Serafin von; Gobmaier, Thomas [FfE Forschungsstelle fuer Energiewirtschaft e.V., Muenchen (Germany); Huck, Malte

2010-07-01

Within the project ''Wind energy - balancing forecast errors'' we examine potentials, restraints and costs of various options for balancing forecast errors of wind power generation. One possibility of providing this backup power could be to practice Demand Side Management (DSM) of household appliances. The integration of these appliances in a DSM network is facilitated by standardized data transmission procedures and the increasing deployment of microprocessors. Due to the low power consumption of the switchable devices no DSM measures are implemented in the household sector so far, despite the numerous appliances. (orig.)

[Implementation of nurse demand managment in primary health care service providers in Catalonia].

Science.gov (United States)

Brugués Brugués, Alba; Cubells Asensio, Irene; Flores Mateo, Gemma

2017-11-01

To describe and analyse the implementaction of nurse demand managment (NDM) among health care providers in Catalonia from 2005 to 2014. Cross sectional survey. Participants All service providers in Catalonia (n=37). Main measurements Interviews with nurse manager of each health care provides about ht barriers and facilitators concerning NDM. Facilitators and barriers were classified into 3 types: (i)health professional (competence, attitudes, motivation for change and individual characteristics); (ii)social context (patients and companions), and (iii)system related factors (organization and structure, economic incentives). Of the 37 providers, 26 (70.3%) have implemented the Demand Management Nurse (NDM). The main barriers identified are the nurse prescriptin regulation, lack of knowledge and skills of nurses, and the lack of protocols at the start of implantation. Among the facilitators are the specific training of professionals, a higher ratio of nurses to doctors, consensus circuits with all professionals and linking the implementation of NDM to economic incentives. NDM is consolidated in Catalonia. However, the NDM should be included in the curricula of nursing degree and continuing education programs in primary care teams. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

Analysis on the Chinese Urban Sustainable Development Demands for the Management Plan of Intelligent Transportation Systems

Institute of Scientific and Technical Information of China (English)

赵历男

2002-01-01

This article analyzes the demands of the sustainable development and Chinese urban environmental protection for the management plan of intelligent transportation systems. The article also comments on how to work out the management plan of intelligent transportation systems with China's own characteristics.

Web-based energy information systems for energy management and demand response in commercial buildings

Energy Technology Data Exchange (ETDEWEB)

Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

2003-04-18

Energy Information Systems (EIS) for buildings are becoming widespread in the U.S., with more companies offering EIS products every year. As a result, customers are often overwhelmed by the quickly expanding portfolio of EIS feature and application options, which have not been clearly identified for consumers. The object of this report is to provide a technical overview of currently available EIS products. In particular, this report focuses on web-based EIS products for large commercial buildings, which allow data access and control capabilities over the Internet. EIS products combine software, data acquisition hardware, and communication systems to collect, analyze and display building information to aid commercial building energy managers, facility managers, financial managers and electric utilities in reducing energy use and costs in buildings. Data types commonly processed by EIS include energy consumption data; building characteristics; building system data, such as heating, ventilation, and air-conditioning (HVAC) and lighting data; weather data; energy price signals; and energy demand-response event information. This project involved an extensive review of research and trade literature to understand the motivation for EIS technology development. This study also gathered information on currently commercialized EIS. This review is not an exhaustive analysis of all EIS products; rather, it is a technical framework and review of current products on the market. This report summarizes key features available in today's EIS, along with a categorization framework to understand the relationship between EIS, Energy Management and Control Systems (EMCSs), and similar technologies. Four EIS types are described: Basic Energy Information Systems (Basic-EIS); Demand Response Systems (DRS); Enterprise Energy Management (EEM); and Web-based Energy Management and Control Systems (Web-EMCS). Within the context of these four categories, the following characteristics of EIS

Real-Time Congestion Management in Distribution Networks by Flexible Demand Swap

DEFF Research Database (Denmark)

Huang, Shaojun; Wu, Qiuwei

2017-01-01

In addition to the day-ahead congestion management in distribution networks, the real-time congestion management is very important because many unforeseen events can occur at the real operation time, e.g. loss of generation of distributed energy resources (DERs) or inaccurate forecast of energy...... pumps (HPs) for real time congestion management. The swap method can maintain the power balance of the system and avoid the imbalance cost of activating the flexibility service. An algorithm for forming swaps through optimal power flow (OPF) and mixed integer linear programming (MILP) is proposed...... consumption or production. Flexibility service from demand will be a good option to solve the real-time congestions if the cost of activating the flexibility service is fully addressed. This paper proposes a new method, namely “swap”, to employ the flexibility service from electric vehicles (EVs) and heat...

Impacts of Demand-Side Management on Electrical Power Systems: A Review

Directory of Open Access Journals (Sweden)

Hussein Jumma Jabir

2018-04-01

Full Text Available Electricity demand has grown over the past few years and will continue to grow in the future. The increase in electricity demand is mainly due to industrialization and the shift from a conventional to a smart-grid paradigm. The number of microgrids, renewable energy sources, plug-in electric vehicles and energy storage systems have also risen in recent years. As a result, future electricity grids have to be revamped and adapt to increasing load levels. Thus, new complications associated with future electrical power systems and technologies must be considered. Demand-side management (DSM programs offer promising solutions to these issues and can considerably improve the reliability and financial performances of electrical power systems. This paper presents a review of various initiatives, techniques, impacts and recent developments of the DSM of electrical power systems. The potential benefits derived by implementing DSM in electrical power networks are presented. An extensive literature survey on the impacts of DSM on the reliability of electrical power systems is also provided for the first time. The research gaps within the broad field of DSM are also identified to provide directions for future work.

Demand-side management: The perspective of a combination utility

International Nuclear Information System (INIS)

Packard, C.P.

1993-01-01

During the 1980's, Baltimore Gas ampersand Electric (BG ampersand E) met part of the rapid growth in demand for electricity in its service territory by implementing cost-effective demand-side management (DSM) programs--specifically, peak shaving and load shifting strategies. BG ampersand E's focus in the 1990's has been expanded to include all DSM options with an increasing emphasis on those which promote overall 1 energy efficiency or strategic conservation. This change in focus is being driven by Federal legislation, state regulatory requirements and the perceived potential benefits for both the customer and the Company. Current activities related to DSM include involvement in a Collaborative Process to design cost-effective electric and gas conservation programs for all customer classes--low-income, residential, commercial and industrial. Program design consists of four steps: (1) data gathering and technology assessment; (2) development of program concepts; (3) detailed program design and (4) monitoring and evaluation. Significant reductions in the projected peaks as well as in sales in future years are the anticipated results of our efforts. As a combination utility, unique opportunities and challenges face BG ampersand E: fuel switching, eligibility of non-full requirements customers, and energy options for customers

Who should pay for demand-side management programs?

International Nuclear Information System (INIS)

Flaim, T.

1992-01-01

Traditional utility resource planning involves taking the load forecast as a given and then determining the additional supply resources expected to serve that load at minimum cost and optimal levels of reliability. With integrated planning, the goal is still to balance supply and demand, but in a way that is most cost effective given all possible ways to serve customers' energy service needs. The new element in integrated resource planning is demand side management (DSM) or activities aimed at altering the quantity of energy customers use and/or the timing of their consumption. This paper discusses how DSM works to accomplish energy conservation and how it affects the rate structure. It also goes on to discuss how a utility can optimize the participation in a conservation program so that no particular group might have to carry the brunt of a rate increase. These suggestions include aligning rates to accurately reflect marginal costs; require participating customers to pay as many program costs as are possible; where participating customers can't pay full cost of a program, restrict costs to those groups who are eligible to participate; and offer a 'reverse shared-savings' program to the largest customers. The paper goes on to discuss electric-to-gas fuel switching and what customers should carry the cost burden for this type of switching

Demand-Side Energy Management Based on Nonconvex Optimization in Smart Grid

Directory of Open Access Journals (Sweden)

Kai Ma

2017-10-01

Full Text Available Demand-side energy management is used for regulating the consumers’ energy usage in smart grid. With the guidance of the grid’s price policy, the consumers can change their energy consumption in response. The objective of this study is jointly optimizing the load status and electric supply, in order to make a tradeoff between the electric cost and the thermal comfort. The problem is formulated into a nonconvex optimization model. The multiplier method is used to solve the constrained optimization, and the objective function is transformed to the augmented Lagrangian function without constraints. Hence, the Powell direction acceleration method with advance and retreat is applied to solve the unconstrained optimization. Numerical results show that the proposed algorithm can achieve the balance between the electric supply and demand, and the optimization variables converge to the optimum.

Managing the impact of growing low-acuity demand on ambulance services

OpenAIRE

KATHRYN JEAN EASTWOOD

2018-01-01

Increasing demand for emergency ambulances places a substantial burden on ambulance services. Many cases are low-acuity, having no urgent clinical need for paramedic treatment. Ambulance Victoria implemented a secondary telephone triage services to divert low-acuity cases away from emergency ambulances to more appropriate care. This research found this ‘Referral Service’ has had a substantial impact upon emergency operations, referring over 70% of the cases it managed away from emergency am...

Hawaii demand-side management resource assessment. Final report: DSM opportunity report

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-08-01

The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. 10 figs., 55 tabs.

Managing Demand and Capacity Using Multi-Sector Planning and Flexible Airspace: Human-in-the-Loop Evaluation of NextGen

Science.gov (United States)

Lee, Paul U.; Smith, Nancy M.; Prevot, Thomas; Homola, Jeffrey R.

2010-01-01

When demand for an airspace sector exceeds capacity, the balance can be re-established by reducing the demand, increasing the capacity, or both. The Multi-Sector Planner (MSP) concept has been proposed to better manage traffic demand by modifying trajectories across multiple sectors. A complementary approach to MSP, called Flexible Airspace Management (FAM), reconfigures the airspace such that capacity can be reallocated dynamically to balance the traffic demand across multiple sectors, resulting in fewer traffic management initiatives. The two concepts have been evaluated with a series of human-in-the-loop simulations at the Airspace Operations Laboratory to examine and refine the roles of the human operators in these concepts, as well as their tools and procedural requirements. So far MSP and FAM functions have been evaluated individually but the integration of the two functions is desirable since there are significant overlaps in their goals, geographic/temporal scope of the problem space, and the implementation timeframe. Ongoing research is planned to refine the humans roles in the integrated concept.

Demand side management scheme in smart grid with cloud computing approach using stochastic dynamic programming

Directory of Open Access Journals (Sweden)

S. Sofana Reka

2016-09-01

Full Text Available This paper proposes a cloud computing framework in smart grid environment by creating small integrated energy hub supporting real time computing for handling huge storage of data. A stochastic programming approach model is developed with cloud computing scheme for effective demand side management (DSM in smart grid. Simulation results are obtained using GUI interface and Gurobi optimizer in Matlab in order to reduce the electricity demand by creating energy networks in a smart hub approach.

Employee retention and integrated disability management practices as demand side factors.

Science.gov (United States)

Habeck, Rochelle; Hunt, Allan; Rachel, Colleen Head; Kregel, John; Chan, Fong

2010-12-01

Demand-side employment research on company policies and practices related to retention and absence and disability management (ADM) can contribute to our understanding of employment issues related to people with disabilities from the employers' perspective. To examine company ADM and retention practices and their effectiveness, as well as how these company policies and practices might influence hiring of people with disabilities. Disability Management Employer Coalition employer members (N = 650) were surveyed by internet and the survey data were analyzed using descriptive statistics, correlation, and multiple regression. Ninety-five participants responded to the survey resulting in a response rate of 14%. Retention practice was found to be associated with retention effectiveness (r = .39, P ideas and involvement of employees, and assuring they know how their work and performance support the mission. ADM practice was related to improving health and managing health conditions (r = .26, P companies.

Automated Demand Response Approaches to Household Energy Management in a Smart Grid Environment

Science.gov (United States)

Adika, Christopher Otieno

The advancement of renewable energy technologies and the deregulation of the electricity market have seen the emergence of Demand response (DR) programs. Demand response is a cost-effective load management strategy which enables the electricity suppliers to maintain the integrity of the power grid during high peak periods, when the customers' electrical load is high. DR programs are designed to influence electricity users to alter their normal consumption patterns by offering them financial incentives. A well designed incentive-based DR scheme that offer competitive electricity pricing structure can result in numerous benefits to all the players in the electricity market. Lower power consumption during peak periods will significantly enhance the robustness of constrained networks by reducing the level of power of generation and transmission infrastructure needed to provide electric service. Therefore, this will ease the pressure of building new power networks as we avoiding costly energy procurements thereby translating into huge financial savings for the power suppliers. Peak load reduction will also reduce the inconveniences suffered by end users as a result of brownouts or blackouts. Demand response will also drastically lower the price peaks associated with wholesale markets. This will in turn reduce the electricity costs and risks for all the players in the energy market. Additionally, DR is environmentally friendly since it enhances the flexibility of the power grid through accommodation of renewable energy resources. Despite its many benefits, DR has not been embraced by most electricity networks. This can be attributed to the fact that the existing programs do not provide enough incentives to the end users and, therefore, most electricity users are not willing to participate in them. To overcome these challenges, most utilities are coming up with innovative strategies that will be more attractive to their customers. Thus, this dissertation presents various

An Optimal and Distributed Demand Response Strategy for Energy Internet Management

Directory of Open Access Journals (Sweden)

Qian Liu

2018-01-01

Full Text Available This study proposes a new model of demand response management for a future smart grid that consists of smart microgrids. The microgrids have energy storage units, responsive loads, controllable distributed generation units, and renewable energy resources. They can buy energy from the utility company when the power generation in themselves cannot satisfy the load demand, and sell extra power generation to the utility company. The goal is to optimize the operation schedule of microgrids to minimize the microgrids’ payments and the utility company’s operation cost. A parallel distributed optimization algorithm based on games theory is developed to solve the optimization problem, in which microgrids only need to send their aggregated purchasing/selling energy to the utility company, thus avoid infringing its privacy. Microgrids can update their operation schedule simultaneously. A case study is implemented, and the simulation results show that the proposed method is effective and efficient.

Decision support program for congestion management using demand side flexibility

DEFF Research Database (Denmark)

Esmat, Ayman; Pinson, Pierre; Usaola, Julio

2017-01-01

In the past decades, Distribution System Operators (DSOs) have been mitigating distribution networks (DNs) contingencies by opting to grid reinforcements. However, this approach is not always cost and time efficient. Demand Side Flexibility (DSF) is one of the recent alternatives used in DNs cong...... effect is taken into consideration as well as the uncertain behavior of customers. Finally, the distribution grid of the Danish Bornholm Island is used to illustrate the merits of the DSP. The total cost incurred by the DSO is calculated and presented.......In the past decades, Distribution System Operators (DSOs) have been mitigating distribution networks (DNs) contingencies by opting to grid reinforcements. However, this approach is not always cost and time efficient. Demand Side Flexibility (DSF) is one of the recent alternatives used in DNs...... congestion management. Consequently, new market players such as aggregators are needed to handle DSF transaction between customers and DSOs. This paper proposes and models a decision support program (DSP) to optimize the total cost charged by the DSO for using DSF services. Moreover, the energy rebound...

Intelligent demand side management of residential building energy systems

Science.gov (United States)

Sinha, Maruti N.

Advent of modern sensing technologies, data processing capabilities and rising cost of energy are driving the implementation of intelligent systems in buildings and houses which constitute 41% of total energy consumption. The primary motivation has been to provide a framework for demand-side management and to improve overall reliability. The entire formulation is to be implemented on NILM (Non-Intrusive Load Monitoring System), a smart meter. This is going to play a vital role in the future of demand side management. Utilities have started deploying smart meters throughout the world which will essentially help to establish communication between utility and consumers. This research is focused on investigation of a suitable thermal model of residential house, building up control system and developing diagnostic and energy usage forecast tool. The present work has considered measurement based approach to pursue. Identification of building thermal parameters is the very first step towards developing performance measurement and controls. The proposed identification technique is PEM (Prediction Error Method) based, discrete state-space model. The two different models have been devised. First model is focused toward energy usage forecast and diagnostics. Here one of the novel idea has been investigated which takes integral of thermal capacity to identify thermal model of house. The purpose of second identification is to build up a model for control strategy. The controller should be able to take into account the weather forecast information, deal with the operating point constraints and at the same time minimize the energy consumption. To design an optimal controller, MPC (Model Predictive Control) scheme has been implemented instead of present thermostatic/hysteretic control. This is a receding horizon approach. Capability of the proposed schemes has also been investigated.

Development of planning methods for demand-side management (DSM)

International Nuclear Information System (INIS)

Kaerkkaeinen, S.; Kekkonen, V.; Rissanen, P.

1995-01-01

The interest of utilities and governmental agencies in Demand-side management (IDSM) and Integrated Resource Planning (IRP) has increased during recent years also in Finland. From the governmental point of view, the main reason for this has been concern about the environmental effects of electricity supply and consumption. Utilities are mainly interested in cost reductions in electricity supply and distribution caused by DSM. Also improved service to the customer due to DSM has increasing value to utilities. In this project, the main target has been to develop and assess methods for DSM planning from the utility point of view. The final goal is to integrate these methods into the strategic planning of electric utilities

Financial treatment of demand management expenditures at Ontario Hydro

International Nuclear Information System (INIS)

Ariss, D.G.

1990-01-01

Ontario Hydro's demand side management (DSM) plan comprises reduction of load, load shifting, and peak shaving. It includes an accounting policy applied only to measures which reduce demand by the increase in the efficiency of electricity of utilization or by the shifting of load from peak periods to off-peak periods. In order to choose the pertinent periods for which the DSM expenditures should be recovered, the utility has considered three accounting options: expensing all DSM expenditures as incurred; deferring all DSM expenditures; or deferring only those DSM expenditures that meet specified criteria. Ontario Hydro has chosen the last option, since it is in conformity with generally accepted accounting principles. This option is based on the matching principle, under which costs and revenues that are linked to each other in a cause-and-effect relationship should be recognized in the same accounting period. It has also been judged advantageous to amortize the deferred expenses corresponding to each measure over appropriate periods. It has also been established that the amortization period should begin immediately after each measure has been put into operation. This accounting policy ensures that expenses relating to DSM are accounted in a pertinent and uniform manner. 6 refs

On inclusion of water resource management in Earth system models - Part 1: Problem definition and representation of water demand

Science.gov (United States)

Nazemi, A.; Wheater, H. S.

2015-01-01

Human activities have caused various changes to the Earth system, and hence the interconnections between human activities and the Earth system should be recognized and reflected in models that simulate Earth system processes. One key anthropogenic activity is water resource management, which determines the dynamics of human-water interactions in time and space and controls human livelihoods and economy, including energy and food production. There are immediate needs to include water resource management in Earth system models. First, the extent of human water requirements is increasing rapidly at the global scale and it is crucial to analyze the possible imbalance between water demands and supply under various scenarios of climate change and across various temporal and spatial scales. Second, recent observations show that human-water interactions, manifested through water resource management, can substantially alter the terrestrial water cycle, affect land-atmospheric feedbacks and may further interact with climate and contribute to sea-level change. Due to the importance of water resource management in determining the future of the global water and climate cycles, the World Climate Research Program's Global Energy and Water Exchanges project (WRCP-GEWEX) has recently identified gaps in describing human-water interactions as one of the grand challenges in Earth system modeling (GEWEX, 2012). Here, we divide water resource management into two interdependent elements, related firstly to water demand and secondly to water supply and allocation. In this paper, we survey the current literature on how various components of water demand have been included in large-scale models, in particular land surface and global hydrological models. Issues of water supply and allocation are addressed in a companion paper. The available algorithms to represent the dominant demands are classified based on the demand type, mode of simulation and underlying modeling assumptions. We discuss

Demand-Side Management and European environmental and energy goals. An optimal complementary approach

International Nuclear Information System (INIS)

Bergaentzle, Claire; Clastres, Cedric; Khalfallah, Haikel

2013-12-01

Demand side management (DSM) in electricity markets could improve energy efficiency and achieve environmental targets through controlled consumption. For the past 10 years or so DSM programs have registered significant results. However, detailed analysis of its real impact as observed by a large number of pilot studies suggests that such programs need to be fine-tuned to suit clearly identified conditions. This study aims to provide recommendations for the instruments to be used to prompt demand response with a view to maximizing energy and environmental efficiencies of various countries. The present study suggests that different DSM models should be deployed depending on the specific generation mix in any given country. Beside the natural benefits from cross-borders infrastructures, DSM improves the flexibility and reliability of the energy system, absorbing some shock on generation mix. We show efficiency increases with demand response but at a decreasing rate. So, according to rebound and report effects, simple DSM tools could be preferred. (authors)

R and D options for demand side management in Japanese electric utilities

International Nuclear Information System (INIS)

Yamamoto, Takahiko

1996-01-01

Japanese electric demand has been steadily increasing in accordance with the economic growth. However, Japanese electric utilities are facing several problems; increasing construction cost of power facilities, siting constraints and the environmental issue of greenhouse gas emissions. To overcome these problems, electric utilities have been promoting demand-side-management (DSM) activities as well as supplier-side measures, with some presently being carried out through promoting energy conservation technologies and introducing electric tariff options of specific contracts for residential/commercial and industrial consumers. Japanese electric utilities have been carrying out R and D for the future, in particular, energy storage and heat storage which contribute to the improvement of load factor. In this paper, I would like to outline the R and D options for DSM in Japan. (author)

Demand forecast model based on CRM

Science.gov (United States)

Cai, Yuancui; Chen, Lichao

2006-11-01

With interiorizing day by day management thought that regarding customer as the centre, forecasting customer demand becomes more and more important. In the demand forecast of customer relationship management, the traditional forecast methods have very great limitation because much uncertainty of the demand, these all require new modeling to meet the demands of development. In this paper, the notion is that forecasting the demand according to characteristics of the potential customer, then modeling by it. The model first depicts customer adopting uniform multiple indexes. Secondly, the model acquires characteristic customers on the basis of data warehouse and the technology of data mining. The last, there get the most similar characteristic customer by their comparing and forecast the demands of new customer by the most similar characteristic customer.

Modeling Supermarket Refrigeration Systems for Demand-Side Management

Directory of Open Access Journals (Sweden)

Jakob Stoustrup

2013-02-01

Full Text Available Modeling of supermarket refrigeration systems for supervisory control in the smart grid is presented in this paper. A modular modeling approach is proposed in which each module is modeled and identified separately. The focus of the work is on estimating the power consumption of the system while estimating the cold reservoir temperatures as well. The models developed for each module as well as for the overall integrated system are validated by real data collected from a supermarket in Denmark. The results show that the model is able to estimate the actual electrical power consumption with a high fidelity. Moreover a simulation benchmark is introduced based on the produced model for demand-side management in smart grid. Finally, a potential application of the proposed benchmark in direct control of the power/energy consumption is presented by a simple simulation example.

Enhancement of building operations: A successful approach towards national electrical demand management

International Nuclear Information System (INIS)

Al-Mulla, A.; Maheshwari, G.P.; Al-Nakib, D.; ElSherbini, A.; Alghimlas, F.; Al-Taqi, H.; Al-Hadban, Y.

2013-01-01

Highlights: • Enhanced building operations were applied for eight large government buildings in Kuwait. • The enhanced building operations led to demand savings of 8.90 MW during the national peak hour. • Nationwide guidelines were developed for implementing the enhanced operations in similar government buildings in Kuwait. • The peak electrical demand reduction is likely to be 488 MW by the year 2030. - Abstract: An approach for managing electrical demand through enhanced building operations in hot climates is evaluated and demonstrated in this paper. The approach focuses on implementing enhanced operations in government buildings, since they are easier to implement and administer. These enhanced operations included early reduction of cooling supply before the end of the occupancy period, improved time-of-day control after occupancy period and reduced lighting. A total of eight government buildings with different construction and system characteristics were selected for implementing these enhanced operations. These buildings have a total air-conditioning area of 4.39 × 10 5 m 2 and a combined peak electrical demand of 29.3 MW. The enhanced operations resulted in demand savings of 8.90 MW during the national peak hour. Temperatures build up inside the buildings were monitored and found to be within acceptable ranges. Guidelines for nationwide implementation in similar buildings were developed based on the results of this work. Implementation is estimated to reduce demand by 488 MW by the year 2030, which amounts to capital savings of $585 million. These projected values would be important to adopt energy efficient policies for the country. Additional reductions in energy and fuel consumption are added benefits, which would result in large financial and environmental savings to the country. Moreover, the enhanced building operations would be an important tool to avoid any blackouts by properly reducing the peak electrical demand as well as operating the

Management and control of the electrical energy demand; Administracion y control de la demanda de la energia electrica

Energy Technology Data Exchange (ETDEWEB)

Johnson Controls [Comision Federal de Electricidad (Mexico)

2005-07-01

Administrative measures allow a reduction in the energy consumption, but not always in the electrical demand. Control measures allow a reduction in the billing of the electrical demand, but not always in the energy consumption. This is why it is explained in this document what management and control of the electrical demand is, as well as its control strategies, the control alternatives, the billing demand and at the same time graphical representations along with three practical cases on the management of demand in air compressors, air conditioning equipment and in corporative buildings are presented. [Spanish] La aplicacion de las medidas administrativas permite reducir el consumo de energia, pero no siempre la demanda electrica. La aplicacion de medidas de control permiten reducir la demanda electrica facturable, pero no siempre el consumo de energia. Es por eso que en este documento se explica que es la administracion y el control de la demanda electrica, sus estrategias de control, las alternativas de control, la demanda facturable, representaciones graficas y tres casos practicos sobre la administracion de demanda en compresores de aire, la administracion de demanda en aire acondicionado y la administracion de demanda en un edificio corporativo.

Solar + Storage Synergies for Managing Commercial-Customer Demand Charges

Energy Technology Data Exchange (ETDEWEB)

Gagnon, P. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Govindarajan, A. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Bird, L. [National Renewable Energy Lab. (NREL), Golden, CO (United States); Barbose, G. L. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Darghouth, N. R. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Mills, A. D. [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

2017-10-18

Demand charges, which are based on a customer’s maximum demand in kilowatts (kW), are a common element of electricity rate structures for commercial customers. Customer-sited solar photovoltaic (PV) systems can potentially reduce demand charges, but the level of savings is difficult to predict, given variations in demand charge designs, customer loads, and PV generation profiles. Lawrence Berkeley National Laboratory (Berkeley Lab) and the National Renewable Energy Laboratory (NREL) are collaborating on a series of studies to understand how solar PV can impact demand charges. Prior studies in the series examined demand charge reductions from solar on a stand-alone basis for residential and commercial customers. Those earlier analyses found that solar, alone, has limited ability to reduce demand charges depending on the specific design of the demand charge and on the shape of the customer’s load profile. This latest analysis estimates demand charge savings from solar in commercial buildings when co-deployed with behind-the-meter storage, highlighting the complementary roles of the two technologies. The analysis is based on simulated loads, solar generation, and storage dispatch across a wide variety of building types, locations, system configurations, and demand charge designs.

A Distributed Intelligent Automated Demand Response Building Management System

Energy Technology Data Exchange (ETDEWEB)

Auslander, David [Univ. of California, Berkeley, CA (United States); Culler, David [Univ. of California, Berkeley, CA (United States); Wright, Paul [Univ. of California, Berkeley, CA (United States); Lu, Yan [Siemens Corporate Research Inc., Princeton, NJ (United States); Piette, Mary [Univ. of California, Berkeley, CA (United States)

2013-03-31

The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response1 at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development). Sutardja Dai Hall houses the Center for Information Technology Research in the Interest of Society (CITRIS), which fosters collaboration among industry and faculty and students of four UC campuses (Berkeley, Davis, Merced, and Santa Cruz). The 141,000 square foot building, occupied in 2009, includes typical office spaces and a nanofabrication laboratory. Heating is provided by a district heating system (steam from campus as a byproduct of the campus cogeneration plant); cooling is provided by one of two chillers: a more typical electric centrifugal compressor chiller designed for the cool months (Nov-­ March) and a steam absorption chiller for use in the warm months (April-­October). Lighting in the open office areas is provided by direct-­indirect luminaries with Building Management System-­based scheduling for open areas, and occupancy sensors for private office areas. For the purposes of this project, we focused on the office portion of the building. Annual energy consumption is approximately 8053 MWh; the office portion is estimated as 1924 MWh. The maximum peak load

Femoral chondrosarcoma discovered by SPECT-T.D.M. osseous scintigraphy; Chondrosarcome femoral decouvert par scintigraphie osseuse SPECT-TDM

Energy Technology Data Exchange (ETDEWEB)

Bourahla, K.; Nguyen, L.; Rolling, P.; Schott, A.; Di Salvo, R. [CLCC Paul-Strauss, Strasbourg, (France)

2009-05-15

Objectives: the SPECT/T.D.M. imaging can allow a quick diagnosis direction by the concomitant exploitation of scintigraphy data and morphological data brought by the T.D.M.. We present the case of a chondrosarcoma diagnosed in nuclear medicine thanks to the exploitation of the data supplied by the SPECT/T.D.M. that allowed to direct rapidly the later explorations while reducing the time of the patient coverage. Conclusions: A knowledge of the most characteristic morphological data allows to give some diagnosis at first sight during the scintigraphy explorations coupled SPECT/T.D.M. and this in the interest of the patient by reducing his coverage while including the nuclear doctor more broadly in some diagnosis approaches previously remote from his reach. (N.C.)

A Virtual Power Plant Architecture for the Demand-Side Management of Smart Prosumers

Directory of Open Access Journals (Sweden)

Marco Pasetti

2018-03-01

Full Text Available In this paper, we present a conceptual study on a Virtual Power Plant (VPP architecture for the optimal management of Distributed Energy Resources (DERs owned by prosumers participating in Demand-Side Management (DSM programs. Compared to classical VPP architectures, which aim to aggregate several DERs dispersed throughout the electrical grid, in the proposed VPP architecture the supervised physical domain is limited to single users, i.e., to single Points of Delivery (PODs of the distribution network. The VPP architecture is based on a service-oriented approach, where multiple agents cooperate to implement the optimal management of the prosumer’s assets, by also considering different forms of Demand Response (DR requests. The considered DR schemes range from Price-Based DRs to Event-Based DRs, covering both the normal operating functions and the emergency control requests applied in modern distribution networks. With respect to centralized approaches, in this study the control perspective is moved from the system level to the single prosumer’s level, who is allowed to independently provide flexible power profiles through the aggregation of multiple DERs. A generalized optimization model, formulated as a Mixed-Integer Linear Programming (MILP problem, is also introduced. Such a model is able to compute the optimal scheduling of a prosumer’s assets by considering both DR requests and end-users’ requirements in terms of comfort levels while minimizing the costs.

Working Paper 4: Institutions for Effective Water Demand ...

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

2012-01-23

Jan 23, 2012 ... Working Paper 4: Institutions for Effective Water Demand ... This working paper is part of WaDImena 's four Research Series on Water Demand Management ... Improving Water Demand Management Addressing Socioeconomic Inequalities and ... Women's rights and access to water and sanitation in Delhi.

Principles concerning the progress of the gas demand side management in Romania

International Nuclear Information System (INIS)

Leca, A.; Statie, E.; Nistoran, D.

1996-01-01

The consequences of the application of demand side management (DSM) and integrated resources planning (IRP) notions for natural gas are analysed. Present socio-economic context in Romania - from a geopolitical point of view - obviously highlights a set of difficult gas supply problems in our country related to: the impossibility of satisfying the consumption demand from internal resources; the necessity of ensuring by imports of an important quantity of gas, which entails an important foreign currency expenditure and possible political pressures which an unique supplier could exert; the requirement of alignment to the western European country legislation, at an institutional and economical practice level. Each of these problems related to the gas-based power production and all together impose the tackling of DSM and IRP requirements from a strategic point of view. Some conclusions and proposals are presented. (author) 1 fig., 4 refs

The Utility of Infliximab Therapeutic Drug Monitoring among Patients with Inflammatory Bowel Disease and Concerns for Loss of Response: A Retrospective Analysis of a Real-World Experience

Directory of Open Access Journals (Sweden)

Robert A. Mitchell

2016-01-01

Full Text Available Background. Infliximab (IFX therapeutic drug monitoring (TDM allows for objective decision making in patients with inflammatory bowel disease (IBD and loss of response. Questions remain about whether IFX TDM improves outcomes. Methods. Patients with IBD who had IFX TDM due to concerns for loss of response were considered for inclusion. Serum IFX trough concentration and anti-drug antibody (ADA concentrations were measured. Patients were grouped by TDM results: group 1, low IFX/high ADA; group 2, low IFX/low ADA; group 3, therapeutic IFX. Changes in management were analyzed according to groupings; remission rates were assessed at 6 months. Results. 71 patients were included of whom 37% underwent an appropriate change in therapy. Groups 1 (67% and 2 (83% had high adherence compared to only 9% in group 3. At 6 months, 57% had achieved remission. More patients who underwent an appropriate change in therapy achieved remission, though this did not reach statistical significance (69% versus 49%; P=0.098. Conclusions. A trend towards increased remission rates was associated with appropriate changes in management following TDM results. Many patients with therapeutic IFX concentrations did not undergo an appropriate change in management, potentially reflecting a lack of available out-of-class options at the time of TDM or due to uncertainty of the meaning of the reported therapeutic range.

A cost-efficient and reliable energy management of a micro-grid using intelligent demand-response program

International Nuclear Information System (INIS)

Safamehr, Hossein; Rahimi-Kian, Ashkan

2015-01-01

Providing a cost-efficient and reliable energy is one of the main issues in human societies of the 21st century. In response to this demand, new features of micro grid technology have provided huge potentials, specifically by the capability of having an interactive coordination between energy suppliers and consumers. Accordingly, this paper offers an improved model for achieving an optimal Demand Response programing. To solve the proposed multi-objective optimization problem, Artificial Bee Colony algorithm and quasi-static technique are utilized. The considered objectives in this paper are minimizing the overall cost of energy consumption and also improving the technical parameters of micro grid over a time horizon. This optimization is subject to several constraints such as satisfying the energy balance and the operating constraints of each energy supply sources. Manageable load or load as source is another enabling feature existing in smart energy networks, which is considered in this paper and its effect on cost reduction and reliability improvement is studied. Trying to examine the performance of the proposed Demand Response Programing in real conditions, the uncertainties are also analyzed by stochastic methods. The results show significant improvements which are obtained by applying just intelligent programming and management. - Highlights: • This paper presents a cost-efficient and reliable energy management of a micro-grid. • New models of battery and manageable loads are formulated. • Artificial Bee Colony algorithm is used to solve the optimization problem. • Quasi-static technique is used to simplify the solving procedure. • The uncertainties are also analyzed by stochastic methods.

Managing demand uncertainty: probabilistic selling versus inventory substitution

OpenAIRE

Zhang, Y.; Hua, Guowei; Wang, Shouyang; Zhang, Juliang; Fernández Alarcón, Vicenç

2018-01-01

Demand variability is prevailing in the current rapidly changing business environment, which makes it difficult for a retailer that sells multiple substitutable products to determine the optimal inventory. To combat demand uncertainty, both strategies of inventory substitution and probabilistic selling can be used. Although the two strategies differ in operation, we believe that they share a common feature in combating demand uncertainty by encouraging some customers to give up some specific ...

Information management - Assessing the demand for information

Science.gov (United States)

Rogers, William H.

1991-01-01

Information demand is defined in terms of both information content (what information) and form (when, how, and where it is needed). Providing the information richness required for flight crews to be informed without overwhelming their information processing capabilities will require a great deal of automated intelligence. It is seen that the essence of this intelligence is comprehending and capturing the demand for information.

An integrated approach to inventory and flexible capacity management subject to fixed costs and non-stationary stochastic demand

NARCIS (Netherlands)

Tan, T.; Alp, O.

2009-01-01

In a manufacturing system with flexible capacity, inventory management can be coupled with capacity management in order to handle fluctuations in demand more effectively. Typical examples include the effective use of temporary workforce and overtime production. In this paper, we discuss an

The energy efficiency and demand side management programs as implemented by the energy efficiency division of the department of energy

International Nuclear Information System (INIS)

Anunciacion, Jesus C.

1997-01-01

The thrust of the Philippine energy sector. specifically the government side, is to involve the active participation of not only all the government agencies involved in energy activities but the private sector as well. This participation shall mean technical and financial participation, directly and indirectly. The Department of Energy is on the process involving the continuing update and development of a Philippine Energy Plan (PEP) which has a 30-year time scope, which will help the country monitor and determine energy supply and demand vis-a-vis the growing demands of an industrializing country like the Philippines. Among the most vital component of the PEP is the thrust to pursue national programs for energy efficiency and demand-side management. Seven energy efficiency sub-programs have been identified for implementation, with a target savings of 623 million barrels of fuel oil equivalent (MMBFOE). A cumulative net savings of 237 billion pesos shall be generated against a total investment cost of 54.5 billion pesos. The Philippine energy sector will continue to develop and implement strategies to promote the efficient utilization of energy which will cover all aspects of the energy industry. The plan is focussed on the training and education of the various sectors on the aspects involved in the implementation of energy efficiency and demand-side management elements on a more aggressive note. The implementation of technical strategies by the department will continue on a higher and more extensive level, these are: energy utilization monitoring, consultancy and engineering services, energy efficiency testing and labelling program, and demand-side management programs for each sector. In summary, the PEP, as anchored in energy efficiency and demand-side management tools, among others, will ensure a continuous energy supply at affordable prices while incorporating environmental and social considerations. (author)

Nutrition and Hyperglycemia Management in the Inpatient Setting (Meals on Demand, Parenteral, or Enteral Nutrition).

Science.gov (United States)

Drincic, Andjela T; Knezevich, Jon T; Akkireddy, Padmaja

2017-08-01

The goal of this paper is to provide the latest evidence and expert recommendations for management of hospitalized patients with diabetes or hyperglycemia receiving enteral (EN), parenteral (PN) nutrition support or, those with unrestricted oral diet, consuming meals on demand. Patients with and without diabetes mellitus commonly develop hyperglycemia while receiving EN or PN support, placing them at increased risk of adverse outcomes, including in-hospital mortality. Very little new evidence is available in the form of randomized controlled trials (RCT) to guide the glycemic management of these patients. Reduction in the dextrose concentration within parenteral nutrition as well as selection of an enteral formula that diminishes the carbohydrate exposure to a patient receiving enteral nutrition are common strategies utilized in practice. No specific insulin regimen has been shown to be superior in the management of patients receiving EN or PN nutrition support. For those receiving oral nutrition, new challenges have been introduced with the most recent practice allowing patients to eat meals on demand, leading to extreme variability in carbohydrate exposure and risk of hypo and hyperglycemia. Synchronization of nutrition delivery with the astute use of intravenous or subcutaneous insulin therapy to match the physiologic action of insulin in patients receiving nutritional support should be implemented to improve glycemic control in hospitalized patients. Further RCTs are needed to evaluate glycemic and other clinical outcomes of patients receiving nutritional support. For patients eating meals on demand, development of hospital guidelines and policies are needed, ensuring optimization and coordination of meal insulin delivery in order to facilitate patient safety.

Cyber Terrorism demands a Global Risks and Threats Strategic Management

International Nuclear Information System (INIS)

Gareva, R.

2007-01-01

The world is in the third wave of development, which is digital managed and networked. Information, which creates the knowledge is transferring thorough the Internet by exponential function. The rapid advancement of the computer technology has a great influence over the development of the critical information infrastructure, thus changing the safety environment and the national values and interests. This advancement produces threats and risks from computer perspective which are sublimated in different forms of international terrorism and particularly in cyber terrorism. The main aim of this paper is based on a thorough analysis of what is scientifically known and practiced when nowadays critical information infrastructure is in the focus of the cyber terrorism. The rapid IT development demands changes in the strategic management focus. As a result of a time-consuming theoretical and empirical research this paper suggests a methodology for strategic managing of: threats, risks and vulnerabilities. The proposed methodology is seen as a mean to increase the human security conscious in every sense of the word, and to promote the need for rules, procedures and standards establishment from the aspect of the strategic management in the new information epoch concerning. In addition, through a scientific discourse, a short attempt is made to relate Macedonian reality with the phenomenon mentioned above. The most fundamental set phrase is that the efficiency and promptly made decisions during strategic planning are a projection of the systematic organization of functions and models for managing the risks and threats of the critical information infrastructure. Hence, this paper could be seen as a perspective when taking in consideration the regional strategic management, and the cyber space vital functioning. (author)

Barriers and Opportunities to Broader Adoption of Integrated Demand Side Management at Electric Utilities: A Scoping Study

Energy Technology Data Exchange (ETDEWEB)

Potter, Jennifer [Hawaii Natural Energy Institute, Honolulu, HI (United States); Stuart, Elizabeth [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis and Environmental Impacts Div.; Cappers, P [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Energy Analysis and Environmental Impacts Div.

2018-02-13

Integrated demand-side management (IDSM) is a strategic approach to designing and delivering a portfolio of demand side management (DSM) programs to customers. IDSM typically delivers customer centric strategies with the goal of increasing the amount of DSM in the field, but doing so in a way that integrates various measures and technologies to improve their collective performance and/or penetration. Specifically, IDSM can be defined as the integrated or coordinated delivery of three or more of: (1) energy efficiency (EE), (2) demand response (DR), (3) distributed generation (DG), (4) storage, (5) electric vehicle (EV) technologies, and (6) time-based rate programs to residential and commercial electric utility customers. The electric industry’s limited experience deploying IDSM to date suggests that significant barriers may exist. A Berkeley Lab report “Barriers and Opportunities to Broader Adoption of Integrated Demand Side Management at Electric Utilities: A Scoping Study” explores recent electric utility experience with IDSM to provide an assessment of the barriers and potential benefits perceived or experienced by program administrators in their attempts to implement integrated programs. The research draws on surveys and interviews with eleven staff from a sample of eight DSM program administrators and program implementers who were currently implementing or had previously attempted to implement an IDSM program or initiative. Respondents provided their perspectives on drivers for IDSM and barriers to broader deployment. They also reported on actions they had undertaken to promote expanded delivery of IDSM and provided their assessments of the most important under-tapped opportunities for expanding IDSM efforts, both for program administrator and regulatory organizations.

DEMONSTRATION OF THE ENVIRONMENTAL AND DEMAND-SIDE MANAGEMENT BENEFITS OF GRID-CONNECTED PHOTOVOLTAIC POWER SYSTEMS

Science.gov (United States)

This study investigated the pollutant emission reduction and demand-side management potential of 16 photovoltaic (PV) systems installed across the U.S. in 1993 and 1994. The project was sponsored by the U.S. Environmental Protection Agency (EPA) and 11 electric utilities. This ar...

Demand management in steam generation?; Administracion de la demanda en la generacion de vapor?

Energy Technology Data Exchange (ETDEWEB)

Plauchu L., A.; Plauchu A., J. A. [Ingenieros consultores (Mexico)

1997-12-31

Energy management has acquired capital importance in all the branches of the industrial activity and services either private o public and it has been, from years behind, more familiar the technology for the demand control in the electric power distribution systems, with excellent results in the energy conservation and economy. The rate of consumption for the different forms of energy shows the prevalence of the thermal energy in a variety of end uses. Not much or almost nothing has been said of the term Demand Management or Control in Steam Generation although 12% of the total energy supply is used for this purpose. Steam demand management and control can avoid unnecessary investments that bring along the increment of operational and maintenance problems and it is for sure that it will always give raise to a more rational and economical utilization of the real capacity of steam generation. A real case is commented. [Espanol] La administracion de la energia ha cobrado importancia capital en todos los giros de actividad industrial y de servicios, privados y publicos y es de varios anos atras cada vez mas familiar la tecnologia en el control de demanda en los sistemas de distribucion de energia electrica, con magnificos resultados en el ahorro, energetico y economico. La relacion de consumos para las diferentes formas de energia muestra el predominio de la energia termica en una variedad de usos finales. Poco o nada oimos del termino Administracion o Control de Demanda en la Generacion de Vapor aun cuando el 12% de la oferta total de energia tiene como destino esta aplicacion. La administracion y control de la demanda de vapor puede evitar inversiones innecesarias e incremento de problemas de operacion y mantenimiento y con seguridad reportaran siempre una utilizacion mas racional y economica de la capacidad real de generacion de vapor, se comenta un caso real.

Demand management in steam generation?; Administracion de la demanda en la generacion de vapor?

Energy Technology Data Exchange (ETDEWEB)

Plauchu L, A; Plauchu A, J A [Ingenieros consultores (Mexico)

1998-12-31

Energy management has acquired capital importance in all the branches of the industrial activity and services either private o public and it has been, from years behind, more familiar the technology for the demand control in the electric power distribution systems, with excellent results in the energy conservation and economy. The rate of consumption for the different forms of energy shows the prevalence of the thermal energy in a variety of end uses. Not much or almost nothing has been said of the term Demand Management or Control in Steam Generation although 12% of the total energy supply is used for this purpose. Steam demand management and control can avoid unnecessary investments that bring along the increment of operational and maintenance problems and it is for sure that it will always give raise to a more rational and economical utilization of the real capacity of steam generation. A real case is commented. [Espanol] La administracion de la energia ha cobrado importancia capital en todos los giros de actividad industrial y de servicios, privados y publicos y es de varios anos atras cada vez mas familiar la tecnologia en el control de demanda en los sistemas de distribucion de energia electrica, con magnificos resultados en el ahorro, energetico y economico. La relacion de consumos para las diferentes formas de energia muestra el predominio de la energia termica en una variedad de usos finales. Poco o nada oimos del termino Administracion o Control de Demanda en la Generacion de Vapor aun cuando el 12% de la oferta total de energia tiene como destino esta aplicacion. La administracion y control de la demanda de vapor puede evitar inversiones innecesarias e incremento de problemas de operacion y mantenimiento y con seguridad reportaran siempre una utilizacion mas racional y economica de la capacidad real de generacion de vapor, se comenta un caso real.

Social demand for multiple benefits provided by Aleppo pine forest management in Catalonia, Spain

DEFF Research Database (Denmark)

Varela, Elsa; Jacobsen, Jette Bredahl; Mavsar, Robert

2017-01-01

This paper estimates the social demand for key benefits provided by Aleppo pine forests in Catalonia that can be enhanced by management. These so-called externalities are the side effects of forest management on citizens’ welfare and can be either positive or negative. The externalities addressed...... are: biodiversity (measured as the number of tree species), accessibility for practicing recreational activities, CO2 sequestration and annual burned area by wildfires. By the use of a choice experiment, an economic valuation method, we estimate in a joint manner people’s preferences...

A Framework for Sustainable Urban Water Management through Demand and Supply Forecasting: The Case of Istanbul

Directory of Open Access Journals (Sweden)

Murat Yalçıntaş

2015-08-01

Full Text Available The metropolitan city of Istanbul is becoming overcrowded and the demand for clean water is steeply rising in the city. The use of analytical approaches has become more and more critical for forecasting the water supply and demand balance in the long run. In this research, Istanbul’s water supply and demand data is collected for the period during 2006 and 2014. Then, using an autoregressive integrated moving average (ARIMA model, the time series water supply and demand forecasting model is constructed for the period between 2015 and 2018. Three important sustainability metrics such as water loss to supply ratio, water loss to demand ratio, and water loss to residential demand ratio are also presented. The findings show that residential water demand is responsible for nearly 80% of total water use and the consumption categories including commercial, industrial, agriculture, outdoor, and others have a lower share in total water demand. The results also show that there is a considerable water loss in the water distribution system which requires significant investments on the water supply networks. Furthermore, the forecasting results indicated that pipeline projects will be critical in the near future due to expected increases in the total water demand of Istanbul. The authors suggest that sustainable management of water can be achieved by reducing the residential water use through the use of water efficient technologies in households and reduction in water supply loss through investments on distribution infrastructure.

Impact of a fatigue management in work programme on meeting work demands of individuals with rheumatic diseases: A pilot study.

Science.gov (United States)

McCormack, Róisín C; O'Shea, Finbar; Doran, Michele; Connolly, Deirdre

2018-03-25

Work disability and job loss are serious consequences of rheumatic diseases (RDs), and fatigue is a symptom of RDs commonly reported to have an impact on work performance. A FAtigue ManagEment in Work (FAME-W) programme was developed to facilitate the self-management of fatigue in work. The present pilot study explored if FAME-W could facilitate individuals with RDs to manage fatigue in work and improve their ability to meet work demands. Twenty-seven individuals with a variety of rheumatic diagnoses completed a 4-week, 2-h occupational therapy-led self-management programme. Each week focused on fatigue-related topics, including fatigue and activity management, pain management and joint protection, mental well-being, effective communication with employers and work colleagues, and employment legislation. Individual workplace ergonomic assessments were also offered. Study measures (work function, fatigue, pain, mood and self-efficacy) were completed prior to starting FAME-W, immediately post-intervention and 12 weeks post-intervention. Participants (56% male) had a mean age of 43 years. No significant improvements were observed immediately post-programme. However, at the 12-week follow-up, significant improvements were reported in meeting work demands (scheduling [p = 0.046], output [p = 0.002], physical [p = 0.003], mental [p = 0.016]), fatigue [p = 0.001], pain [p = 0.01], anxiety [p = 0.001], depression [p physical: p = 0.005; symptoms: p = 0.010; affect: p = 0.010; social: p = 0.001). Significant improvements were reported in participants' ability to meet various demands of their work 3 months post-FAME-W. These findings suggest that FAME-W has the potential to assist individuals with RDs to meet the demands of their work, although further research is required to test the effectiveness of this intervention. Copyright © 2018 John Wiley & Sons, Ltd.

An Efficient Demand Side Management System with a New Optimized Home Energy Management Controller in Smart Grid

Directory of Open Access Journals (Sweden)

Hafiz Majid Hussain

2018-01-01

Full Text Available The traditional power grid is inadequate to overcome modern day challenges. As the modern era demands the traditional power grid to be more reliable, resilient, and cost-effective, the concept of smart grid evolves and various methods have been developed to overcome these demands which make the smart grid superior over the traditional power grid. One of the essential components of the smart grid, home energy management system (HEMS enhances the energy efficiency of electricity infrastructure in a residential area. In this aspect, we propose an efficient home energy management controller (EHEMC based on genetic harmony search algorithm (GHSA to reduce electricity expense, peak to average ratio (PAR, and maximize user comfort. We consider EHEMC for a single home and multiple homes with real-time electricity pricing (RTEP and critical peak pricing (CPP tariffs. In particular, for multiple homes, we classify modes of operation for the appliances according to their energy consumption with varying operation time slots. The constrained optimization problem is solved using heuristic algorithms: wind-driven optimization (WDO, harmony search algorithm (HSA, genetic algorithm (GA, and proposed algorithm GHSA. The proposed algorithm GHSA shows higher search efficiency and dynamic capability to attain optimal solutions as compared to existing algorithms. Simulation results also show that the proposed algorithm GHSA outperforms the existing algorithms in terms of reduction in electricity cost, PAR, and maximize user comfort.

Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings.

Science.gov (United States)

Mahapatra, Chinmaya; Moharana, Akshaya Kumar; Leung, Victor C M

2017-12-05

Around the globe, innovation with integrating information and communication technologies (ICT) with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future. In a Smart home environment Home Energy Management plays a critical role in finding a suitable and reliable solution to curtail the peak demand and achieve energy conservation. In this paper, a new method named as Home Energy Management as a Service (HEMaaS) is proposed which is based on neural network based Q -learning algorithm. Although several attempts have been made in the past to address similar problems, the models developed do not cater to maximize the user convenience and robustness of the system. In this paper, authors have proposed an advanced Neural Fitted Q -learning method which is self-learning and adaptive. The proposed method provides an agile, flexible and energy efficient decision making system for home energy management. A typical Canadian residential dwelling model has been used in this paper to test the proposed method. Based on analysis, it was found that the proposed method offers a fast and viable solution to reduce the demand and conserve energy during peak period. It also helps reducing the carbon footprint of residential dwellings. Once adopted, city blocks with significant residential dwellings can significantly reduce the total energy consumption by reducing or shifting their energy demand during peak period. This would definitely help local power distribution companies to optimize their resources and keep the tariff low due to curtailment of peak demand.

Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings

Directory of Open Access Journals (Sweden)

Chinmaya Mahapatra

2017-12-01

Full Text Available Around the globe, innovation with integrating information and communication technologies (ICT with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future. In a Smart home environment Home Energy Management plays a critical role in finding a suitable and reliable solution to curtail the peak demand and achieve energy conservation. In this paper, a new method named as Home Energy Management as a Service (HEMaaS is proposed which is based on neural network based Q-learning algorithm. Although several attempts have been made in the past to address similar problems, the models developed do not cater to maximize the user convenience and robustness of the system. In this paper, authors have proposed an advanced Neural Fitted Q-learning method which is self-learning and adaptive. The proposed method provides an agile, flexible and energy efficient decision making system for home energy management. A typical Canadian residential dwelling model has been used in this paper to test the proposed method. Based on analysis, it was found that the proposed method offers a fast and viable solution to reduce the demand and conserve energy during peak period. It also helps reducing the carbon footprint of residential dwellings. Once adopted, city blocks with significant residential dwellings can significantly reduce the total energy consumption by reducing or shifting their energy demand during peak period. This would definitely help local power distribution companies to optimize their resources and keep the tariff low due to curtailment of peak demand.

From fork to farm - demand chain management in the agro-food business : with application to the Rio Grande do Sul beef business

NARCIS (Netherlands)

Canever, M.D.

2006-01-01

Demand chain management (DCM) is a business philosophy which objectives to understand customer demand and meeting this demand with possible alternatives through the deployment of chain processes. DCM is a new paradigm in the business terrain, and it was defined in this study as: the business

Extending the Internet to make demand management e-smart

Energy Technology Data Exchange (ETDEWEB)

Nelson, M. D. [emWare Inc., Salt Lake City, UT (United States)

2001-06-01

A new cost-effective solution to managing peak power demand by utility companies is described. The system was developed by Carrier Corporation, in conjunction with Silicon Energy, AT and T and emWare Inc. The program is known as 'ComfortChoice'. The heart of the system is a new generation of energy management interface (Emi) thermostat which is Internet-enabled. These thermostats allow the utility company to adjust the customer's temperature set point during peak energy time to reduce energy usage, while giving the customer complete freedom to override the utility company's settings and to control the thermostat remotely via a Web browser interface on a PC. The device-networking system runs on the EMIT software package, developed by emWare Inc, which is ideal for electronic devices with 8- or 16-bit micro-controllers, like thermostats and other everyday devices, and enable bringing the Internet into homes in a cost-effective platform. It is particularly well-suited to controlling power and resource management, heating and cooling systems, building and home automation, telemedicine and health services to network-enable new and existing products, making them e-smart. In addition to being enabled to monitor, diagnose, upgrade and control these devices over the Internet, the embedded micro internet-working technology (EMIT) also offers improved service, greater convenience, and increased cost savings. Productivity and safety are also claimed to be enhanced.

Analizar y simular los efectos no lineales causados por el fenómeno de índice de refracción en la capa física de una red por de nueva generación.

OpenAIRE

Proaño Gavilanes, Víctor Daniel

2015-01-01

The demand from subscribers for the services they receive through internet, makes companies providing Internet services search new ways to transmit information with the highest possible quality. That is why the optical networks are one alternative to provide a high bandwidth to users, and where PON are used, because they are composed of passive elements. In optical networks using transmission techniques used are the time division (TDM) technique and wave division (WDM). A TDM-WDM-PON hybrid n...

Ensuring the security of electricity supply in Ontario: is demand-side management the answer?

International Nuclear Information System (INIS)

Chuddy, B.

2004-01-01

This paper examines the issues relating to ensuring the security of electricity supply in Ontario. In particular, it focuses on demand-side management as a means of achieving these objectives. The solution involves both conservation and supply. It is therefore critical that there be investment in new supply with multiple buyers/sellers. regulatory environment and pricing could encourage conservation

A Midwest utility's perspective of DSM [demand-side management]: Balancing the needs of customers, shareholders and the environment

International Nuclear Information System (INIS)

Collins, G.F.

1990-01-01

PSI Energy, a predominately coal-burning Indiana electric utility, is very concerned about the environment and is using demand-side management (DSM) as part of a strategy to balance the sometimes conflicting interests of the environment, the economy, customers and shareholders. Faced with slow growth within its service territory, an abundance of low-cost, high sulfur coal burning baseload capacity, massive future expenditures for acid rain mitigation and a weakened financial state due to a cancelled nuclear project, PSI Energy has taken a novel approach to preserving value for customers, shareholders, the economy and environment. To accomodate Indiana's goal of least cost utility planning, PSI initiated an all-source bidding program in which it solicited bids for peaking capacity or the equivalent. Four parallel but separate solicitations were pursued: combustion turbine manufacturers for PSI owned and operated capacity, other utilities and non-utility generators for purchased power and third parties for demand-side management. PSI's philosophy with respect to bidding can be expressed as: simplicity, flexibility, creativity, partnerships, expeditious and fairness. There is a minimum bid of 5 MW of summer peak demand reduction, and the minimum contract length is 10 years. The entire 550 MW capacity block available to be filled in the program is open to demand-side resources. The ten major evaluation criteria involved in the program are: price, sponsor qualifications, operational impact, marketing plan, technology, financing plan, verification and measurement, form of security, project management plan, and project cost estimates

Optimal Load Response to Time-of-Use Power Price for Demand Side Management in Denmark

DEFF Research Database (Denmark)

Hu, Weihao; Chen, Zhe; Bak-Jensen, Birgitte

2010-01-01

-of-use power price for demand side management in order to save the energy costs as much as possible. 3 typical different kinds of loads (industrial load, residential load and commercial load) in Denmark are chosen as study cases. The energy costs decrease up to 9.6% with optimal load response to time......-of-use power price for different loads. Simulation results show that the optimal load response to time-of-use power price for demand side management generates different load profiles and reduces the load peaks. This kind of load patterns may also have significant effects on the power system normal operation.......Since the hourly spot market price is available one day ahead in Denmark, the price could be transferred to the consumers and they may shift their loads from high price periods to the low price periods in order to save their energy costs. This paper presents a load optimization method to time...

Adaptive heat pump and battery storage demand side energy management

Science.gov (United States)

Sobieczky, Florian; Lettner, Christian; Natschläger, Thomas; Traxler, Patrick

2017-11-01

An adaptive linear model predictive control strategy is introduced for the problem of demand side energy management, involving a photovoltaic device, a battery, and a heat pump. Moreover, the heating influence of solar radiation via the glass house effect is considered. Global sunlight radiation intensity and the outside temperature are updated by weather forecast data. The identification is carried out after adapting to a time frame witch sufficiently homogeneous weather. In this way, in spite of the linearity an increase in precision and cost reduction of up to 46% is achieved. It is validated for an open and closed loop version of the MPC problem using real data of the ambient temperature and the global radiation.

Impact on energy requirements and emissions of heat pumps and micro-cogenerators participating in demand side management

International Nuclear Information System (INIS)

Cooper, Samuel J.G.; Hammond, Geoffrey P.; McManus, Marcelle C.; Rogers, John G.

2014-01-01

The potential impacts of participating in demand side management (DSM) on the performance of air source heat pumps (ASHP) and micro-combined heat and power (mCHP) units are considered by this study. As significant consumers and generators of electricity at the distribution level, large numbers of heat pumps and micro-cogenerators would provide considerable scope for participation in DSM systems. However, it is possible that operating regimes which are optimised for grid considerations will not achieve the maximum performance that is possible from the units. Modelling has been conducted to investigate the significance of this effect, considering the case where local distribution constraints are the main driver for demand side interventions. A model of domestic electrical demand has been adapted to consider a neighbourhood of 128 dwellings in order to identify when interventions are necessary. This has been combined with dynamic models of two combustion engine micro-cogenerators, a solid oxide fuel cell micro-cogenerator and two ASHPs. A simple thermal model of each building is combined with a range of user preferences in order to determine the preferred operating profiles of the heating units. The DSM scheme analysed here is likely to have minimal impact on the emissions and energy requirements associated with each heating unit. Its effect is similar to that which occurs without DSM if the control system gain is relaxed such that equivalent thermal comfort is achieved. DSM can reduce the peak electrical demand of the neighbourhood. However, in the scenarios investigated, it is unlikely that the peaks can be reduced sufficiently such that they do not exceed the capacity of the local distribution transformer if ASHPs are used in all dwellings. By using a combination of mCHP units with ASHPs, it is possible to supply heating to all dwellings without exceeding this capacity. In this case, the use of DSM can increase the ratio of ASHPs used. In the context of a low

Demand side management for commercial buildings using an in line heat pump water heating methodology

International Nuclear Information System (INIS)

Rankin, Riaan; Rousseau, Pieter G.; Eldik, Martin van

2004-01-01

Most of the sanitary hot water used in South African buildings is heated by means of direct electrical resistance heaters. This is one of the major contributors to the undesirably high morning and afternoon peaks imposed on the national electricity supply grid. For this reason, water heating continues to be of concern to the electricity supplier, ESCOM. Previous studies, conducted by the Potchefstroom University for Christian Higher Education in South Africa, indicated that extensive application of the so called inline heat pump water heating methodology in commercial buildings could result in significant demand side management savings to ESKOM. Furthermore, impressive paybacks can be obtained by building owners who choose to implement the design methodology on existing or new systems. Currently, a few examples exist where the design methodology has been successfully implemented. These installations are monitored with a fully web centric monitoring system that allows 24 h access to data from each installation. Based on these preliminary results, a total peak demand reduction of 108 MW can be achieved, which represents 18% of the peak load reduction target set by ESKOM until the year 2015. This represents an avoided cost of approximately MR324 (ZAR) [Int J Energy Res 25(4) (1999) 2000]. Results based on actual data from the monitored installations shows a significant peak demand reduction for each installation. In one installation, a hotel with an occupancy of 220 people, the peak demand contribution of the hot water installation was reduced by 86%, realizing a 36% reduction in peak demand for the whole building. The savings incurred by the building owner also included significant energy consumption savings due to the superior energy efficiency of the heat pump water heater. The combined savings result in a conservatively calculated straight payback period of 12.5 months, with an internal rate of return of 98%. The actual cost of water heating is studied by

Managing patient demand: a qualitative study of appointment making in general practice.

Science.gov (United States)

Gallagher, M; Pearson, P; Drinkwater, C; Guy, J

2001-04-01

Managing patients' requests for appointments is an important general practice activity. No previous research has systematically observed how patients and receptionists negotiate appointments. To observe appointment making and investigate patients' and professionals' experiences of appointment negotiations. A qualitative study using participant observation. Three general practices on Tyneside; a single-handed practice, a practice comprising three doctors, and a seven-doctor practice. Participant observation sessions, consisting of 35 activity recordings and 34 periods of observation and 38 patient and 15 professional interviews, were set up. Seven groups of patients were selected for interview. These included patients attending an 'open access' surgery, patients who complained about making an appointment, and patients who complimented the receptionists. Appointment making is a complex social process. Outcomes are dependent on the process of negotiation and factors, such as patients' expectations and appointment availability. Receptionists felt that patients in employment, patients allocated to the practice by the Health Authority, and patients who did not comply with practice appointment rules were most demanding. Appointment requests are legitimised by receptionists enforcing practice rules and requesting clinical information. Patients volunteer information to provide evidence that their complaint is appropriate and employ strategies, such as persistence, assertiveness, and threats, to try and persuade receptionists to grant appointments. Appointment making is a complex social process where outcomes are negotiated. Receptionists have an important role in managing patient demand. Practices should be explicit about how appointments are allocated, including publishing practice criteria.

Integrated management of water resources demand and supply in irrigated agriculture from plot to regional scale

Directory of Open Access Journals (Sweden)

N. Schütze

2016-05-01

Full Text Available Growing water scarcity in agriculture is an increasing problem in future in many regions of the world. Recent trends of weather extremes in Saxony, Germany also enhance drought risks for agricultural production. In addition, signals of longer and more intense drought conditions during the vegetation period can be found in future regional climate scenarios for Saxony. However, those climate predictions are associated with high uncertainty and therefore, e.g. stochastic methods are required to analyze the impact of changing climate patterns on future crop water requirements and water availability. For assessing irrigation as a measure to increase agricultural water security a generalized stochastic approach for a spatial distributed estimation of future irrigation water demand is proposed, which ensures safe yields and a high water productivity at the same time. The developed concept of stochastic crop water production functions (SCWPF can serve as a central decision support tool for both, (i a cost benefit analysis of farm irrigation modernization on a local scale and (ii a regional water demand management using a multi-scale approach for modeling and implementation. The new approach is applied using the example of a case study in Saxony, which is dealing with the sustainable management of future irrigation water demands and its implementation.

Consumer demand and quality assurance

DEFF Research Database (Denmark)

Grunert, Klaus G; Wognum, Nel; Trienekens, Jacques

2011-01-01

Consumers differ in their demands, and this mau have implications for the type of supply chain governance that is most suitable for serving them. We present a segmentation of pork consumers in the EU based on their food-related lifestyles and demand for different pork products. We then present...... an inventory of pork chain governance and quality management systems, also resulting from a pan-European study, and attempt to match types of chains to consumer segments, arguing that the type of quality demanded by the consumers has implications especially for the quality management system governing the chain......, and that these implications are different for fresh meat and processed meat. The paper closes with a call for more collaboration between chain researchers and consumer researchers....

Integrated modeling of water supply and demand under management options and climate change scenarios in Chifeng City, China

Science.gov (United States)

Lu Hao; Ge Sun; Yongqiang Liu; Hong Qian

2015-01-01

Water resource management is becoming increasingly challenging in northern China because of the rapid increase in water demand and decline in water supply due to climate change. We provide a case study demonstrating the importance of integrated watershed management in sustaining water resources in Chifeng City, northern China. We examine the consequences of various...

R and D options for demand side management in Japanese electric utilities

International Nuclear Information System (INIS)

Yamamoto, T.

1995-01-01

Japanese electric utilities are facing several problems: increasing construction cost of power facilities, siting constraints and the environmental issue of greenhouse gas emissions. To overcome these problems, electric utilities have been promoting demand-side-management (DSM) activities as well as supplier-side measures, with some presently being carried out through promoting energy conservation technologies and introducing tariff options for residential/commercial and industrial consumers. R and D works have been carried out on various fields such as energy storage and heat storage which contribute to the improvement of the load factor. 5 figs., 2 tabs

Therapeutic drug management of linezolid: a missed opportunity for clinicians?

Science.gov (United States)

Cattaneo, Dario; Gervasoni, Cristina; Cozzi, Valeria; Castoldi, Simone; Baldelli, Sara; Clementi, Emilio

2016-12-01

Some studies have shown that adjustments to the linezolid dose guided by therapeutic drug monitoring (TDM) can reduce interindividual variability in drug exposure and improve linezolid tolerability. In this study, 6 years of linezolid TDM, a diagnostic service for our hospital and others in the Milan (Italy) area, is described. Samples were collected immediately before the morning dose intake (trough concentrations) in steady-state conditions. Linezolid concentrations were quantified by a validated high-performance liquid chromatography (HPLC) method. Four hundred linezolid trough concentrations from 220 patients were collected. A 20-fold variability in linezolid levels was observed. Positive and significant correlations between linezolid trough concentrations and patient age (r = 0.325, P linezolid concentrations with time was observed in a subgroup of patients with more than one TDM assessment. Elderly patients, especially those aged >80 years and with impaired renal function, are at a higher risk of overexposure to linezolid. Despite the observed progressive increase in linezolid concentrations over time, most physicians did not change the drug dose according to the TDM results, even in the presence of frank overexposure to linezolid. Copyright © 2016 Elsevier B.V. and International Society of Chemotherapy. All rights reserved.

DSM [demand-side management] financing: Risks and incentives

International Nuclear Information System (INIS)

Dayton, D.S.

1992-01-01

Opportunities to make investments in demand side management (DSM) are widespread, especially among large, complex, energy-intensive customers. Acceptable economics are found for energy efficiency improvements, new construction or renovation, replacement of failing or obsolete equipment, and retrofit of existing facilities with more efficient equipment and operations. Market imperfections and technical limitations intrude on the DSM investment process. These intrusions are examined from a financial viewpoint by considering the return on investment and risks faced by the three potential investors in DSM opportunities: the customer, the utility, and the third party contractor or financier. These risks are illustrated by examining the cash flow of a typical project depicting a comprehensive energy efficiency installation in a medium to large industrial or institutional facility. The spread between the customer's risk/return ratio and that of the other two investors is shown to be surprisingly large. A utility role in marketing and financing, as opposed to direct subsidizing of customers or direct purchase of DSM resources from third parties, is explored as an efficient response to these realities. 2 figs., 3 tabs

Unintended de-marketing manages visitor demand in Greater Blue Mountains World Heritage Area

OpenAIRE

Burgin, Shelley; Hardiman, Nigel

2014-01-01

Kotler and Levy (1971, p.76) introduced the term ‘de-marketing’, defined as ‘that aspect of marketing that deals with discouraging customers in general or a certain class of customers in particular on either a temporary or permanent basis’. Subsequently, Groff (1998) interpreted the concept in the context of parks and recreation administration. Recently, Armstrong and Kern (2011) used the concept to underpin their investigation of visitor demand management within the Greater Blue Mountains Wo...

The impact of demand management strategies on parents’ decision-making for out-of-hours primary care: findings from a survey in The Netherlands

Science.gov (United States)

Giesen, Marie-Jeanne; Keizer, Ellen; van de Pol, Julia; Knoben, Joris; Wensing, Michel; Giesen, Paul

2017-01-01

Objective To explore the potential impact of demand management strategies on patient decision-making in medically non-urgent and urgent scenarios during out-of-hours for children between the ages of 0 and 4 years. Design and methods We conducted a cross-sectional survey with paper-based case scenarios. A survey was sent to all 797 parents of children aged between 0 and 4 years from four Dutch general practitioner (GP) practices. Four demand management strategies (copayment, online advice, overview medical cost and GP appointment next morning) were incorporated in two medically non-urgent and two urgent case scenarios. Combining the case scenarios with the demand management strategies resulted in 16 cases (four scenarios each with four demand management strategies). Each parent randomly received a questionnaire with three different case scenarios with three different demand strategies and a baseline case scenario without a demand management strategy. Results The response rate was 47.4%. The strategy online advice led to more medically appropriate decision-making for both non-urgent case scenarios (OR 0.26; 95% CI 0.11 to 0.58) and urgent case scenarios (OR 0.16; 95% CI 0.08 to 0.32). Overview of medical cost (OR 0.59; 95% CI 0.38 to 0.92) and a GP appointment planned the next morning (OR 0.57; 95% CI 0.34 to 0.97) had some influence on patient decisions for urgent cases, but not for non-urgent cases. Copayment had no influence on patient decisions. Conclusion Online advice has the highest potential to reduce medically unnecessary use. Furthermore it enhanced safety of parents' decisions on seeking help for their young children during out-of-hours primary care. Valid online information on health symptoms for patients should be promoted. PMID:28487458

The impact of demand management strategies on parents' decision-making for out-of-hours primary care: findings from a survey in The Netherlands.

Science.gov (United States)

Giesen, Marie-Jeanne; Keizer, Ellen; van de Pol, Julia; Knoben, Joris; Wensing, Michel; Giesen, Paul

2017-05-09

To explore the potential impact of demand management strategies on patient decision-making in medically non-urgent and urgent scenarios during out-of-hours for children between the ages of 0 and 4 years. We conducted a cross-sectional survey with paper-based case scenarios. A survey was sent to all 797 parents of children aged between 0 and 4 years from four Dutch general practitioner (GP) practices. Four demand management strategies (copayment, online advice, overview medical cost and GP appointment next morning) were incorporated in two medically non-urgent and two urgent case scenarios. Combining the case scenarios with the demand management strategies resulted in 16 cases (four scenarios each with four demand management strategies). Each parent randomly received a questionnaire with three different case scenarios with three different demand strategies and a baseline case scenario without a demand management strategy. The response rate was 47.4%. The strategy online advice led to more medically appropriate decision-making for both non-urgent case scenarios (OR 0.26; CI 0.11 to 0.58) and urgent case scenarios (OR 0.16; CI 0.08 to 0.32). Overview of medical cost (OR 0.59; CI 0.38 to 0.92) and a GP appointment planned the next morning (OR 0.57; CI 0.34 to 0.97) had some influence on patient decisions for urgent cases, but not for non-urgent cases. Copayment had no influence on patient decisions. Online advice has the highest potential to reduce medically unnecessary use. Furthermore it enhanced safety of parents' decisions on seeking help for their young children during out-of-hours primary care. Valid online information on health symptoms for patients should be promoted. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data

Science.gov (United States)

Tripathy, Bismay Ranjan; Sajjad, Haroon; Elvidge, Christopher D.; Ting, Yu; Pandey, Prem Chandra; Rani, Meenu; Kumar, Pavan

2018-04-01

Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of energy resource and planning its infrastructure. This paper makes an attempt to model the future electricity demand for sustainable energy and its management in India. The nighttime light database provides a good approximation of availability of energy. We utilized defense meteorological satellite program-operational line-scan system (DMSP-OLS) nighttime satellite data, electricity consumption (1993-2013), gross domestic product (GDP) and population growth to construct the model. We also attempted to examine the sensitiveness of electricity consumption to GDP and population growth. The results revealed that the calibrated DMSP and model has provided realistic information on the electric demand with respect to GDP and population, with a better accuracy of r 2 = 0.91. The electric demand was found to be more sensitive to GDP ( r = 0.96) than population growth ( r = 0.76) as envisaged through correlation analysis. Hence, the model proved to be useful tool in predicting electric demand for its sustainable use and management.

Proceedings of the CEATI demand side management workshop on understanding customer response. CD-ROM ed.

International Nuclear Information System (INIS)

2006-01-01

Demand for electricity continues to increase in the midst of environmental concerns, deregulation and the rapid evolution of technology. In order to succeed in a changing environment, utilities must be both adaptive and innovative. Growing concerns over supply and the environmental effects of rising consumption rates have led many utilities to establish demand side management (DSM) programs. However, some utilities have failed to consider the importance of customer behaviour in the success of DSM programs. This conference examined various successful initiatives to encourage customers to reduce their individual or corporate demands for energy. The influence of branding, technology, information prices signals and various other strategies were explored. Issues concerning energy efficiency and customer feedback were discussed. The effect of alternative pricing regimes on DSM programs was investigated. Various information system tools were also examined, and the value of real time electricity monitoring was evaluated. Various DSM initiatives in North America were used to establish benchmarks for the successful implementation of DSM strategies. The conference was divided into 3 sessions: (1) involving the customer in reducing demand; (2) the success of energy efficiency and demand response programs : the impact of branding and the impact of price signals; and (3) the technologies and innovations needed to make it work. The conference featured 13 presentations, of which 8 have been catalogued separately for inclusion in this database. refs., tabs., figs

Proceedings of the CEATI demand side management workshop on understanding customer response. CD-ROM ed.

Energy Technology Data Exchange (ETDEWEB)

NONE

2006-07-01

Demand for electricity continues to increase in the midst of environmental concerns, deregulation and the rapid evolution of technology. In order to succeed in a changing environment, utilities must be both adaptive and innovative. Growing concerns over supply and the environmental effects of rising consumption rates have led many utilities to establish demand side management (DSM) programs. However, some utilities have failed to consider the importance of customer behaviour in the success of DSM programs. This conference examined various successful initiatives to encourage customers to reduce their individual or corporate demands for energy. The influence of branding, technology, information prices signals and various other strategies were explored. Issues concerning energy efficiency and customer feedback were discussed. The effect of alternative pricing regimes on DSM programs was investigated. Various information system tools were also examined, and the value of real time electricity monitoring was evaluated. Various DSM initiatives in North America were used to establish benchmarks for the successful implementation of DSM strategies. The conference was divided into 3 sessions: (1) involving the customer in reducing demand; (2) the success of energy efficiency and demand response programs : the impact of branding and the impact of price signals; and (3) the technologies and innovations needed to make it work. The conference featured 13 presentations, of which 8 have been catalogued separately for inclusion in this database. refs., tabs., figs.

Demand side management for remote area power supply systems incorporating solar irradiance model

International Nuclear Information System (INIS)

Al-Alawi, A.; Islam, S.M.

2004-01-01

This paper presents a technique for generating the daily electricity load profile for remote areas in the Middle East from first principles, using diversified demand. The generated load profile includes the energy required to run a small desalination unit to provide the necessary freshwater. Demand side management (DSM) is used in this study to smooth out the daily peaks and fill valleys in the load curve to make the most efficient use of energy resources. Finally, the load profile is compared with real data for six houses collected from Safri area in the Sultanate of Oman. These data may be used as the basis to obtain load profiles of other remote areas of the Middle East since the weather and social factors are similar. The modified hourly variation factor based on weather and economic and social factors of the Middle East is obtained. (author)

An Interactive Computer Tool for Teaching About Desalination and Managing Water Demand in the US

Science.gov (United States)

Ziolkowska, J. R.; Reyes, R.

2016-12-01

This paper presents an interactive tool to geospatially and temporally analyze desalination developments and trends in the US in the time span 1950-2013, its current contribution to satisfying water demands and its future potentials. The computer tool is open access and can be used by any user with Internet connection, thus facilitating interactive learning about water resources. The tool can also be used by stakeholders and policy makers for decision-making support and with designing sustainable water management strategies. Desalination technology has been acknowledged as a solution to a sustainable water demand management stemming from many sectors, including municipalities, industry, agriculture, power generation, and other users. Desalination has been applied successfully in the US and many countries around the world since 1950s. As of 2013, around 1,336 desalination plants were operating in the US alone, with a daily production capacity of 2 BGD (billion gallons per day) (GWI, 2013). Despite a steady increase in the number of new desalination plants and growing production capacity, in many regions, the costs of desalination are still prohibitive. At the same time, the technology offers a tremendous potential for `enormous supply expansion that exceeds all likely demands' (Chowdhury et al., 2013). The model and tool are based on data from Global Water Intelligence (GWI, 2013). The analysis shows that more than 90% of all the plants in the US are small-scale plants with the capacity below 4.31 MGD. Most of the plants (and especially larger plants) are located on the US East Coast, as well as in California, Texas, Oklahoma, and Florida. The models and the tool provide information about economic feasibility of potential new desalination plants based on the access to feed water, energy sources, water demand, and experiences of other plants in that region.

Cost benefit analysis of the demand side management programs; Analise de custos e beneficios economicos de programas de gerencia pelo lado da demanda

Energy Technology Data Exchange (ETDEWEB)

Schechtman, R; Baum, M [PROMON Engenharia SA, Rio de Janeiro, RJ (Brazil)

1990-12-31

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.

Hierarchical Energy Management of Microgrids including Storage and Demand Response

Directory of Open Access Journals (Sweden)

Songli Fan

2018-05-01

Full Text Available Battery energy storage (BES and demand response (DR are considered to be promising technologies to cope with the uncertainty of renewable energy sources (RES and the load in the microgrid (MG. Considering the distinct prediction accuracies of the RES and load at different timescales, it is essential to incorporate the multi-timescale characteristics of BES and DR in MG energy management. Under this background, a hierarchical energy management framework is put forward for an MG including multi-timescale BES and DR to optimize operation with the uncertainty of RES as well as load. This framework comprises three stages of scheduling: day-ahead scheduling (DAS, hour-ahead scheduling (HAS, and real-time scheduling (RTS. In DAS, a scenario-based stochastic optimization model is established to minimize the expected operating cost of MG, while ensuring its safe operation. The HAS is utilized to bridge DAS and RTS. In RTS, a control strategy is proposed to eliminate the imbalanced power owing to the fluctuations of RES and load. Then, a decomposition-based algorithm is adopted to settle the models in DAS and HAS. Simulation results on a seven-bus MG validate the effectiveness of the proposed methodology.

Interrole conflict and self-efficacy to manage work and family demands mediate the relationships of job and family demands with stress in the job and family domains.

Science.gov (United States)

Smoktunowicz, Ewelina; Cieslak, Roman; Demerouti, Evangelia

2017-09-01

This study derives from Work-Home Resources model (ten Brummelhuis, L. L., & Bakker, A. B. (2012). A resource perspective on the work-home interface: The work-home resources model. American Psychologist, 67(7), 545-556. doi: 10.1037/a0027974 ) and Social Cognitive Theory (Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ, US: Prentice-Hall, Inc.) to investigate mechanisms responsible for the effect of job and family demands on work- and family-related perceived stress. We hypothesized that interrole conflict and self-efficacy to manage work and family demands operate either independently or sequentially transmitting the effects of demands on perceived stress. A sample of 100 employees of various occupations participated in the study conducted online in two waves: Time 1 (T1) and Time 2 (T2) with a three-month interval. Regression analysis with bootstrapping was applied. Interrole conflict (T1) did not mediate the relationships between demands (T1) and perceived stress (T2), whereas self-efficacy (T1) mediated only those between family demands (T1) and stress (T2). However, data supported the sequential mediation hypotheses: Demands (T1) were associated with increased interrole conflict (T1) which in turn decreased self-efficacy (T1) and ultimately resulted in the elevated perceived stress at work and in the family (T2). Demands originating in one domain can impact stress both in the same and other life areas through the sequence of interrole conflict and context-specific self-efficacy.

Report of the advisory group on demand-side management and demand response in Ontario in response to the Minister's directive to the Ontario Energy Board

International Nuclear Information System (INIS)

2003-01-01

The Ontario Energy Board was directed in June 2003 to consult with stakeholders to identify and review options for the delivery of demand-side management (DSM) and demand response (DR) activities within the electricity sector, including the role of local distribution companies (distributors) in such activities. A total of 118 stakeholders participated in the consultation process, and 31 representatives from all sectors were then invited to take part in an advisory working group to develop options to be considered by the Board when preparing the recommendations to the Minister. This report presents a consolidation of the Group's working documents and the results of deliberations both as a unit and in small groups. The best way to present the many newly developed models was as a single Central Agency model demonstrating variations in the role of the Central Agency and other players in the electricity market. The paper was divided into the following six sections: introduction; market issues; demand response framework option; central agency framework-alternative models; Ontario Energy Board-wires companies DSM framework; and, general issues

77 FR 3544 - Meeting and Webinar on the Active Traffic and Demand Management and Intelligent Network Flow...

Science.gov (United States)

2012-01-24

... Intelligent Network Flow Optimization Operational Concepts; Notice of Public Meeting AGENCY: Research and... Demand Management (ADTM) and Intelligent Network Flow Optimization (INFLO) operational concepts. The ADTM... infrastructure. The vision for ATDM research is to allow transportation agencies to increase traffic flow...

Energy management in microgrid based on the multi objective stochastic programming incorporating portable renewable energy resource as demand response option

International Nuclear Information System (INIS)

Tabar, Vahid Sohrabi; Jirdehi, Mehdi Ahmadi; Hemmati, Reza

2017-01-01

Renewable energy resources are often known as cost-effective and lucrative resources and have been widely developed due to environmental-economic issues. Renewable energy utilization even in small scale (e.g., microgrid networks) has attracted significant attention. Energy management in microgrid can be carried out based on the generating side management or demand side management. In this paper, portable renewable energy resource are modeled and included in microgrid energy management as a demand response option. Utilizing such resources could supply the load when microgrid cannot serve the demand. This paper addresses energy management and scheduling in microgrid including thermal and electrical loads, renewable energy sources (solar and wind), CHP, conventional energy sources (boiler and micro turbine), energy storage systems (thermal and electrical ones), and portable renewable energy resource (PRER). Operational cost of microgrid and air pollution are considered as objective functions. Uncertainties related to the parameters are incorporated to make a stochastic programming. The proposed problem is expressed as a constrained, multi-objective, linear, and mixed-integer programing. Augmented Epsilon-constraint method is used to solve the problem. Final results and calculations are achieved using GAMS24.1.3/CPLEX12.5.1. Simulation results demonstrate the viability and effectiveness of the proposed method in microgrid energy management. - Highlights: • Introducing portable renewable energy resource (PRER) and considering effect of them. • Considering reserve margin and sensitivity analysis for validate robustness. • Multi objective and stochastic management with considering various loads and sources. • Using augmented Epsilon-constraint method to solve multi objective program. • Highly decreasing total cost and pollution with PRER in stochastic state.

A Demand-Driven Approach for a Multi-Agent System in Supply Chain Management

Science.gov (United States)

Kovalchuk, Yevgeniya; Fasli, Maria

This paper presents the architecture of a multi-agent decision support system for Supply Chain Management (SCM) which has been designed to compete in the TAC SCM game. The behaviour of the system is demand-driven and the agents plan, predict, and react dynamically to changes in the market. The main strength of the system lies in the ability of the Demand agent to predict customer winning bid prices - the highest prices the agent can offer customers and still obtain their orders. This paper investigates the effect of the ability to predict customer order prices on the overall performance of the system. Four strategies are proposed and compared for predicting such prices. The experimental results reveal which strategies are better and show that there is a correlation between the accuracy of the models' predictions and the overall system performance: the more accurate the prediction of customer order prices, the higher the profit.

Advertising and the Management of Aggregate Consumer Demand: A Cross-National Test of the Galbraithian Argument.

Science.gov (United States)

Quarles, Rebecca C.; And Others

John Kenneth Galbraith maintains that advertising is the prime instrument for the management of total consumer demand and results in increased consumption. Galbraith also maintains that television is a more effective advertising tool, in that it reaches people in all spectrums of intelligence. Other economists disagree, holding that it is actually…

Non-utility generation and demand management reliability of customer delivery systems

International Nuclear Information System (INIS)

Hamoud, G.A.; Wang, L.

1995-01-01

A probabilistic methodology for evaluating the impact of non-utility generation (NUG) and demand management programs (DMP) on supply reliability of customer delivery systems was presented. The proposed method was based on the criteria that the supply reliability to the customers on the delivery system should not be affected by the integration of either NUG or DMPs. The method considered station load profile, load forecast, and uncertainty in size and availability of the nuio. Impacts on system reliability were expressed in terms of possible delays of the in-service date for new facilities or in terms of an increase in the system load carrying capability. Examples to illustrate the proposed methodology were provided. 10 refs., 8 tabs., 2 figs

Millennium bim managing growing demand

OpenAIRE

Lopes, Francisca Barbosa Malpique de Paiva

2014-01-01

Millennium bim, the Mozambican operation of Millennium bcp group, was the Company selected to serve as background for the development of a teaching case in Marketing. This case is followed by a teaching note, and is intended to be used as a pedagogical tool in undergraduate and/or graduate programs. Even though Mozambique is still characterized by high financial exclusion, the number of people entering within the banking industry has been growing at a fast pace. Actually, the demand for fi...

Bulk electric system reliability evaluation incorporating wind power and demand side management

Science.gov (United States)

Huang, Dange

correlations and the interactive effects of wind power and load forecast uncertainty on system reliability are examined. The concept of the security cost associated with operating in the marginal state in the well-being framework is incorporated in the economic analyses associated with system expansion planning including wind power and load forecast uncertainty. Overall reliability cost/worth analyses including security cost concepts are applied to select an optimal wind power injection strategy in a bulk electric system. The effects of the various demand side management measures on system reliability are illustrated using the system, load point, and well-being indices, and the reliability index probability distributions. The reliability effects of demand side management procedures in a bulk electric system including wind power and load forecast uncertainty considerations are also investigated. The system reliability effects due to specific demand side management programs are quantified and examined in terms of their reliability benefits.

Presenting a multi-objective generation scheduling model for pricing demand response rate in micro-grid energy management

International Nuclear Information System (INIS)

Aghajani, G.R.; Shayanfar, H.A.; Shayeghi, H.

2015-01-01

Highlights: • Using DRPs to cover the uncertainties resulted from power generation by WT and PV. • Proposing the use of price-offer packages and amount of DR for implement DRPs. • Considering a multi-objective scheduling model and use of MOPSO algorithm. - Abstract: In this paper, a multi-objective energy management system is proposed in order to optimize micro-grid (MG) performance in a short-term in the presence of Renewable Energy Sources (RESs) for wind and solar energy generation with a randomized natural behavior. Considering the existence of different types of customers including residential, commercial, and industrial consumers can participate in demand response programs. As with declare their interruptible/curtailable demand rate or select from among different proposed prices so as to assist the central micro-grid control in terms of optimizing micro-grid operation and covering energy generation uncertainty from the renewable sources. In this paper, to implement Demand Response (DR) schedules, incentive-based payment in the form of offered packages of price and DR quantity collected by Demand Response Providers (DRPs) is used. In the typical micro-grid, different technologies including Wind Turbine (WT), PhotoVoltaic (PV) cell, Micro-Turbine (MT), Full Cell (FC), battery hybrid power source and responsive loads are used. The simulation results are considered in six different cases in order to optimize operation cost and emission with/without DR. Considering the complexity and non-linearity of the proposed problem, Multi-Objective Particle Swarm Optimization (MOPSO) is utilized. Also, fuzzy-based mechanism and non-linear sorting system are applied to determine the best compromise considering the set of solutions from Pareto-front space. The numerical results represented the effect of the proposed Demand Side Management (DSM) scheduling model on reducing the effect of uncertainty obtained from generation power and predicted by WT and PV in a MG.

The benefits and barriers associated with prices to manage industrial demand

International Nuclear Information System (INIS)

Dominie, A.E.; Brunetto, T.

1990-01-01

Implementation of demand-side management (DSM) programs for the industrial sector is not the same as for the commercial or residental sectors. This difference is derived from sectoral characteristics such as global competition, uniqueness of production facilities, cash flow and budget constraints, and the relationship and trust of a customer with an electric utility. Experience has shown the success of DSM programs in industry to depend on factors such as market philosophies emphasizing fulfilling the needs of customers, the ability to measure and reward performance for achieving specific conservation and load management goals, technical expertise, short-term payback, size of risk, and degree of operational disturbance caused by the program. Time-of-use pricing for the industrial sector has been the subject of very few studies in Canada. Most of these studies show that hourly rate differentiation was not beneficial and that seasonal time-of-use rates would provide little benefit due to the nature of the load and the utility system. An outline is presented of time-of-use concepts in current Canadian utility rate structures. 1 tab

Modeling of Electric Demand for Sustainable Energy and Management in India Using Spatio-Temporal DMSP-OLS Night-Time Data.

Science.gov (United States)

Tripathy, Bismay Ranjan; Sajjad, Haroon; Elvidge, Christopher D; Ting, Yu; Pandey, Prem Chandra; Rani, Meenu; Kumar, Pavan

2018-04-01

Changes in the pattern of electric power consumption in India have influenced energy utilization processes and socio-economic development to greater extent during the last few decades. Assessment of spatial distribution of electricity consumption is, thus, essential for projecting availability of energy resource and planning its infrastructure. This paper makes an attempt to model the future electricity demand for sustainable energy and its management in India. The nighttime light database provides a good approximation of availability of energy. We utilized defense meteorological satellite program-operational line-scan system (DMSP-OLS) nighttime satellite data, electricity consumption (1993-2013), gross domestic product (GDP) and population growth to construct the model. We also attempted to examine the sensitiveness of electricity consumption to GDP and population growth. The results revealed that the calibrated DMSP and model has provided realistic information on the electric demand with respect to GDP and population, with a better accuracy of r 2  = 0.91. The electric demand was found to be more sensitive to GDP (r = 0.96) than population growth (r = 0.76) as envisaged through correlation analysis. Hence, the model proved to be useful tool in predicting electric demand for its sustainable use and management.

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

Impact of realistic communications for fast-acting demand side management

DEFF Research Database (Denmark)

Dambrauskas, Paulius; Syed, Mazheruddin H.; Blair, Steven M.

2017-01-01

The rising penetration of intermittent energy resources is increasing the need for more diverse electrical energy resources that are able to support ancillary services. Demand side management (DSM) has a significant potential to fulfil this role, but several challenges are still impeding the wide......-scale integration of DSM. One of the major challenges is ensuring the performance of the networks that enable communications between control centres and the end DSM resources. This study presents an analysis of all communications networks that typically participate in the activation of DSM, and provides an estimate...... for the overall latency that these networks incur. The most significant sources of delay from each of the components of the communications network are identified which allows the most critical aspects to be determined. This analysis, therefore, offers a detailed evaluation of the performance of DSM resources...

Application of cold thermal energy storage (CTES) for building demand management in hot climates

International Nuclear Information System (INIS)

Comodi, Gabriele; Carducci, Francesco; Nagarajan, Balamurugan; Romagnoli, Alessandro

2016-01-01

Highlights: • A new index, Savings per energy unit, is defined to assess the effectiveness of CTES. • CTES systems were used to perform demand management strategies, removing partial load operations and shaving peak loads. • CTES was used to perform price arbitrage, exploiting the difference between peak and off peak electricity rates in Singapore. • Results showed that it is possible to enhance the efficiency of the whole system, achieving both energy and economic savings. • Depending on the sizing scenario, the pay back periods ranged from a minimum of 8.9 years to a maximum of 16 years. - Abstract: This paper investigates the feasibility of Cold Thermal Energy Storage (CTES) for building demand management applications in hot climate characterized by a cooling season lasting all year long. An existing office building, located in Singapore, serves as case study. The CTES is coupled to the existing cooling systems in order to address the opportunity of improving overall energy efficiency and to perform price arbitrage, exploiting the spread between peak and off-peak energy tariffs. Six different sizes for the CTES are analyzed, addressing different percentage of the daily cooling energy demand. A new index, Savings per energy unit, is defined to assess the effectiveness of CTES. Results indicate that it is possible to enhance the efficiency of the whole cooling system, achieving both energy and economic savings. The payback periods of the different solutions range from a minimum of 8.9 years to a maximum of 16 years. All these aspects make CTES applications a viable option. However, a large amount of space in direct proximity to the building is necessary and, especially in largely urban environment, this is not always available.

Economic Value Approach to Industrial Water Demand Management, A Case Study of Chemical Plants

Directory of Open Access Journals (Sweden)

morteza tahami pour zarandi

2017-03-01

Full Text Available Limitations in water supply to meet the increasing demand have encouraged both planners and researchers to focus attention on water demand management, in which such economic tools as the water pricing system play a major role. A fundamental component of the pricing system is the estimation of the economic value of water, which reflects a firm’s maximum affordable water price or the ultimate elasticity of industrial water. The present study was conducted to estimate the economic value of water for basic chemical plants, excluding fertilizers and nitrogen compounds (code 2411, representing the four-digit ISIC industrial codes which account for about 14% of the total industrial water consumption. The econometric method of production function within the framework of panel data and the residual method were used. Data were collected from the Census of medium-sized businesses carried out by the Statistical Center of Iran over the period 1997–2013.  Results showed that one cubic meter of water allocated to the plants surveyed creates a value of 3,7071 Rials, which shows a large gap with the current purchase price of 5685 Rials. Moreover, it was found that the present water prices account for only about 1.3 percent of the total production cost of basic chemicals, excluding fertilizers and nitrogen compounds. It may, thus, be concluded that it is reasonable to increase the present water tariffs and discriminate among the various manufacturing codes by differences in tariffs in order to achieve water demand management goals. Finally, the information emerging from the study may be exploited to improve the revenues earned by water authorities or to carry out feasibility studies of industrial water development projects.

An Enhanced System Architecture for Optimized Demand Side Management in Smart Grid

Directory of Open Access Journals (Sweden)

Anzar Mahmood

2016-04-01

Full Text Available Demand Side Management (DSM through optimization of home energy consumption in the smart grid environment is now one of the well-known research areas. Appliance scheduling has been done through many different algorithms to reduce peak load and, consequently, the Peak to Average Ratio (PAR. This paper presents a Comprehensive Home Energy Management Architecture (CHEMA with integration of multiple appliance scheduling options and enhanced load categorization in a smart grid environment. The CHEMA model consists of six layers and has been modeled in Simulink with an embedded MATLAB code. A single Knapsack optimization technique is used for scheduling and four different cases of cost reduction are modeled at the second layer of CHEMA. Fault identification and electricity theft control have also been added in CHEMA. Furthermore, carbon footprint calculations have been incorporated in order to make the users aware of environmental concerns. Simulation results prove the effectiveness of the proposed model.

Advancing Cost-Effective Readiness by Improving the Supply Chain Management of Sparse, Intermittently-Demanded Parts

Science.gov (United States)

2015-03-26

strategy and the actual measures they take/look at for management review decision support. Shaw, Meixell & Tuggle [31] recognize the lack of integrated...have proposed new performance measures and metrics that reflect the changes in markets and enterprise environments...” 5.1.2 Multiple Processes to...Petropoulos and V. Assimakopoulos, "An aggregate-disaggregate intermittent demand approach ( ADIDA ) to forecasting: an empirical proposition and analysis

Incentive-compatible demand-side management for smart grids based on review strategies

Science.gov (United States)

Xu, Jie; van der Schaar, Mihaela

2015-12-01

Demand-side load management is able to significantly improve the energy efficiency of smart grids. Since the electricity production cost depends on the aggregate energy usage of multiple consumers, an important incentive problem emerges: self-interested consumers want to increase their own utilities by consuming more than the socially optimal amount of energy during peak hours since the increased cost is shared among the entire set of consumers. To incentivize self-interested consumers to take the socially optimal scheduling actions, we design a new class of protocols based on review strategies. These strategies work as follows: first, a review stage takes place in which a statistical test is performed based on the daily prices of the previous billing cycle to determine whether or not the other consumers schedule their electricity loads in a socially optimal way. If the test fails, the consumers trigger a punishment phase in which, for a certain time, they adjust their energy scheduling in such a way that everybody in the consumer set is punished due to an increased price. Using a carefully designed protocol based on such review strategies, consumers then have incentives to take the socially optimal load scheduling to avoid entering this punishment phase. We rigorously characterize the impact of deploying protocols based on review strategies on the system's as well as the users' performance and determine the optimal design (optimal billing cycle, punishment length, etc.) for various smart grid deployment scenarios. Even though this paper considers a simplified smart grid model, our analysis provides important and useful insights for designing incentive-compatible demand-side management schemes based on aggregate energy usage information in a variety of practical scenarios.

Demand-side management project for Tenaga Nasional Berhad. Energy efficiency guidelines. Progress report No. 3. Volume 1. Final report. Export trade information

Energy Technology Data Exchange (ETDEWEB)

NONE

1993-05-01

This study, conducted by the California Energy Commission, was funded by the U.S. Trade and Development Agency. The report summarizes a demand-side management study performed for the Tenaga Nasional Berhad Headquarters Building. The purpose of the study was to identify and evaluate demand side management measures (DSMs) that would reduce energy costs of the facility. Volume 1 is divided into the following sections: (1.0) Executive Summary; (2.0) Facility Background; (3.0) Ventilating and Air Conditioning Systems Description; (4.0) Lightning System Description; Figures, Tables, and Appendices.

Testing water demand management scenarios in a water-stressed basin in South Africa: application of the WEAP model

Science.gov (United States)

Lévite, Hervé; Sally, Hilmy; Cour, Julien

Like many river basins in South Africa, water resources in the Olifants river basin are almost fully allocated. Respecting the so-called “reserve” (water flow reservation for basic human needs and the environment) imposed by the Water Law of 1998 adds a further dimension, if not difficulty, to water resources management in the basin, especially during the dry periods. Decision makers and local stakeholders (i.e. municipalities, water users’ associations, interest groups), who will soon be called upon to work together in a decentralized manner within Catchment Management Agencies (CMAs) and Catchment Management Committees (CMCs), must therefore be able to get a rapid and simple understanding of the water balances at different levels in the basin. This paper seeks to assess the pros and cons of using the Water Evaluation and Planning (WEAP) model for this purpose via its application to the Steelpoort sub-basin of the Olifants river. This model allows the simulation and analysis of various water allocation scenarios and, above all, scenarios of users’ behavior. Water demand management is one of the options discussed in more detail here. Simulations are proposed for diverse climatic situations from dry years to normal years and results are discussed. It is evident that the quality of data (in terms of availability and reliability) is very crucial and must be dealt with carefully and with good judgment. Secondly, credible hypotheses have to be made about water uses (losses, return flow) if the results are to be meaningfully used in support of decision-making. Within the limits of data availability, it appears that some water users are not able to meet all their requirements from the river, and that even the ecological reserve will not be fully met during certain years. But the adoption of water demand management procedures offers opportunities for remedying this situation during normal hydrological years. However, it appears that demand management alone will not

Demand management concept and tool in a dynamic context

NARCIS (Netherlands)

Liu, Ankun

2008-01-01

ChainScope B.V. is a startup company that develops supply chain optimization and planning software. The optimization software is currently based on the assumption of stationary demand. However, in real-life situation future demand is forecasted through a combination of time series analysis and human

Four methodologies to improve healthcare demand forecasting.

Science.gov (United States)

Côté, M J; Tucker, S L

2001-05-01

Forecasting demand for health services is an important step in managerial decision making for all healthcare organizations. This task, which often is assumed by financial managers, first requires the compilation and examination of historical information. Although many quantitative forecasting methods exist, four common methods of forecasting are percent adjustment, 12-month moving average, trendline, and seasonalized forecast. These four methods are all based upon the organization's recent historical demand. Healthcare financial managers who want to project demand for healthcare services in their facility should understand the advantages and disadvantages of each method and then select the method that will best meet the organization's needs.

Effects of utility demand-side management programs on uncertainty

International Nuclear Information System (INIS)

Hirst, E.

1994-01-01

Electric utilities face a variety of uncertainties that complicate their long-term resource planning. These uncertainties include future economic and load growths, fuel prices, environmental and economic regulations, performance of existing power plants, cost and availability of purchased power, and the costs and performance of new demand and supply resources. As utilities increasingly turn to demand-side management (DSM) programs to provide resources, it becomes more important to analyze the interactions between these programs and the uncertainties facing utilities. This paper uses a dynamic planning model to quantify the uncertainty effects of supply-only vs DSM + supply resource portfolios. The analysis considers four sets of uncertainties: economic growth, fuel prices, the costs to build new power plants, and the costs to operate DSM programs. The two types of portfolios are tested against these four sets of uncertainties for the period 1990 to 2010. Sensitivity, scenario, and worst-case analysis methods are used. The sensitivity analyses show that the DSM + supply resource portfolio is less sensitive to unanticipated changes in economic growth, fuel prices, and power-plant construction costs than is the supply-only portfolio. The supply-only resource mix is better only with respect to uncertainties about the costs of DSM programs. The base-case analysis shows that including DSM programs in the utility's resource portfolio reduces the net present value of revenue requirements (NPV-RR) by 490 million dollars. The scenario-analysis results show an additional 30 million dollars (6%) in benefits associated with reduction in these uncertainties. In the worst-case analysis, the DSM + supply portfolio again reduces the cost penalty associated with guessing wrong for both cases, when the utility plans for high needs and learns it has low needs and vice versa. 20 refs

Lighting Systems Control for Demand Response

NARCIS (Netherlands)

Husen, S.A.; Pandharipande, A.; Tolhuizen, L.M.G.; Wang, Y.; Zhao, M.

2012-01-01

Lighting is a major part of energy consumption in buildings. Lighting systems will thus be one of the important component systems of a smart grid for dynamic load management services like demand response.In the scenario considered in this paper, under a demand response request, lighting systems in a

The impact of demand management strategies on parents’ decision-making for out-of-hours primary care: findings from a survey in The Netherlands

OpenAIRE

Giesen, Marie-Jeanne; Keizer, Ellen; van de Pol, Julia; Knoben, Joris; Wensing, Michel; Giesen, Paul

2017-01-01

Objective To explore the potential impact of demand management strategies on patient decision-making in medically non-urgent and urgent scenarios during out-of-hours for children between the ages of 0 and 4 years. Design and methods We conducted a cross-sectional survey with paper-based case scenarios. A survey was sent to all 797 parents of children aged between 0 and 4 years from four Dutch general practitioner (GP) practices. Four demand management strategies (copayment, online advice, ove...

Enabling technologies for industrial energy demand management

International Nuclear Information System (INIS)

Dyer, Caroline H.; Hammond, Geoffrey P.; Jones, Craig I.; McKenna, Russell C.

2008-01-01

This state-of-science review sets out to provide an indicative assessment of enabling technologies for reducing UK industrial energy demand and carbon emissions to 2050. In the short term, i.e. the period that will rely on current or existing technologies, the road map and priorities are clear. A variety of available technologies will lead to energy demand reduction in industrial processes, boiler operation, compressed air usage, electric motor efficiency, heating and lighting, and ancillary uses such as transport. The prospects for the commercial exploitation of innovative technologies by the middle of the 21st century are more speculative. Emphasis is therefore placed on the range of technology assessment methods that are likely to provide policy makers with a guide to progress in the development of high-temperature processes, improved materials, process integration and intensification, and improved industrial process control and monitoring. Key among the appraisal methods applicable to the energy sector is thermodynamic analysis, making use of energy, exergy and 'exergoeconomic' techniques. Technical and economic barriers will limit the improvement potential to perhaps a 30% cut in industrial energy use, which would make a significant contribution to reducing energy demand and carbon emissions in UK industry. Non-technological drivers for, and barriers to, the take-up of innovative, low-carbon energy technologies for industry are also outlined

Meeting/Managing the demand for electricity

International Nuclear Information System (INIS)

Draper, E.L.

1994-01-01

In the United States, the demand for electricity is increasing, so several energy sources have to be considered. Fuel and gas are taken into account for new generating capacity. But there are still environmental concerns and costs associated with coal. It is also predicted that orders will be set for new nuclear units for the middle of the decade. (TEC). 3 figs

Managing Sustainable Demand-side Infrastructure for Power System Ancillary Services

Science.gov (United States)

Parkinson, Simon Christopher

Widespread access to renewable electricity is seen as a viable method to mitigate carbon emissions, although problematic are the issues associated with the integration of the generation systems within current power system configurations. Wind power plants are the primary large-scale renewable generation technology applied globally, but display considerable short-term supply variability that is difficult to predict. Power systems are currently not designed to operate under these conditions, and results in the need to increase operating reserve in order to guarantee stability. Often, operating conventional generation as reserve is both technically and economically inefficient, which can overshadow positive benefits associated with renewable energy exploitation. The purpose of this thesis is to introduce and assess an alternative method of enhancing power system operations through the control of electric loads. In particular, this thesis focuses on managing highly-distributed sustainable demand-side infrastructure, in the form of heat pumps, electric vehicles, and electrolyzers, as dispatchable short-term energy balancing resources. The main contribution of the thesis is an optimal control strategy capable of simultaneously balancing grid- and demand-side objectives. The viability of the load control strategy is assessed through model-based simulations that explicitly track end-use functionality of responsive devices within a power systems analysis typically implemented to observe the effects of integrated wind energy systems. Results indicate that there is great potential for the proposed method to displace the need for increased reserve capacity in systems considering a high penetration of wind energy, thereby allowing conventional generation to operate more efficiently and avoid the need for possible capacity expansions.

Simulation-based Strategies for Smart Demand Response

Directory of Open Access Journals (Sweden)

Ines Leobner

2018-03-01

Full Text Available Demand Response can be seen as one effective way to harmonize demand and supply in order to achieve high self-coverage of energy consumption by means of renewable energy sources. This paper presents two different simulation-based concepts to integrate demand-response strategies into energy management systems in the customer domain of the Smart Grid. The first approach is a Model Predictive Control of the heating and cooling system of a low-energy office building. The second concept aims at industrial Demand Side Management by integrating energy use optimization into industrial automation systems. Both approaches are targeted at day-ahead planning. Furthermore, insights gained into the implications of the concepts onto the design of the model, simulation and optimization will be discussed. While both approaches share a similar architecture, different modelling and simulation approaches were required by the use cases.

Causality in demand

DEFF Research Database (Denmark)

Nielsen, Max; Jensen, Frank; Setälä, Jari

2011-01-01

to fish demand. On the German market for farmed trout and substitutes, it is found that supply sources, i.e. aquaculture and fishery, are not the only determinant of causality. Storing, tightness of management and aggregation level of integrated markets might also be important. The methodological...

Demand Response Spinning Reserve Demonstration

Energy Technology Data Exchange (ETDEWEB)

Eto, Joseph H.; Nelson-Hoffman, Janine; Torres, Carlos; Hirth,Scott; Yinger, Bob; Kueck, John; Kirby, Brendan; Bernier, Clark; Wright,Roger; Barat, A.; Watson, David S.

2007-05-01

The Demand Response Spinning Reserve project is a pioneeringdemonstration of how existing utility load-management assets can providean important electricity system reliability resource known as spinningreserve. Using aggregated demand-side resources to provide spinningreserve will give grid operators at the California Independent SystemOperator (CAISO) and Southern California Edison (SCE) a powerful, newtool to improve system reliability, prevent rolling blackouts, and lowersystem operating costs.

Balancing supply and demand resources

International Nuclear Information System (INIS)

Sinha, J.; Saleeby, R.G.

1990-01-01

This article deals with using demand-side management (DSM) resources as an effective means of balancing supply and demand as a part of least-cost planning. The authors present a more sophisticated application of the load forecast adjustment method that reduces the number of DSM programs that need to be evaluated and provides blocks large enough to eliminate resolution problems in production costing models

Analysis of Cool Roof Coatings for Residential Demand Side Management in Tropical Australia

Directory of Open Access Journals (Sweden)

Wendy Miller

2015-06-01

Full Text Available Cool roof coatings have a beneficial impact on reducing the heat load of a range of building types, resulting in reduced cooling energy loads. This study seeks to understand the extent to which cool roof coatings could be used as a residential demand side management (DSM strategy for retrofitting existing housing in a constrained network area in tropical Australia where peak electrical demand is heavily influenced by residential cooling loads. In particular this study seeks to determine whether simulation software used for building regulation purposes can provide networks with the ‘impact certainty’ required by their DSM principles. The building simulation method is supported by a field experiment. Both numerical and experimental data confirm reductions in total consumption (kWh and energy demand (kW. The nature of the regulated simulation software, combined with the diverse nature of residential buildings and their patterns of occupancy, however, mean that simulated results cannot be extrapolated to quantify benefits to a broader distribution network. The study suggests that building data gained from regulatory simulations could be a useful guide for potential impacts of widespread application of cool roof coatings in this region. The practical realization of these positive impacts, however, would require changes to the current business model for the evaluation of DSM strategies. The study provides seven key recommendations that encourage distribution networks to think beyond their infrastructure boundaries, recognising that the broader energy system also includes buildings, appliances and people.

Innovations in managing demand and supply of energy

Energy Technology Data Exchange (ETDEWEB)

Loughborough, K. [Enwave District Energy, Toronto, ON (Canada)

2004-07-01

Enwave District Energy Ltd. is one of North America's largest district energy system manufacturers which provides outsourced heating and cooling to more than 130 major buildings in downtown Toronto. This presentation described innovations in managing the supply and demand of energy, and provided several viewgraphs depicting service heating, district cooling, and the district energy distribution network in Toronto. One of Enwave's greatest innovations is the deep lake water cooling (DLWC) district cooling system. The $175 million capital joint infrastructure project which began in June 2002 will be on line in 2004. The district cooling system represents the largest renewable energy project in Canada with a total cooling capacity of 52,000 tons. The system relies on DLWC and conventional chillers. DLWC uses naturally cold water from Lake Ontario. The coldness from the water is used to provide air conditioning to the buildings in Toronto. The benefits include 75 per cent reduced energy use, the elimination of ozone depleting refrigerants, and the use of a renewable resource for providing a stable cooling supply. Emissions of carbon dioxide, nitrogen oxides and oxides of sulphur are also reduced. The benefits to the city include a reduced strain on the electricity infrastructure, cleaner air and improved health. tabs., figs.

Fast demand response in support of the active distribution network

NARCIS (Netherlands)

MacDougall, P.; Heskes, P.; Crolla, P.; Burt, G.; Warmer, C.

2013-01-01

Demand side management has traditionally been investigated for "normal" operation services such as balancing and congestion management. However they potentially could be utilized for Distributed Network Operator (DNO) services. This paper investigates and validates the use of a supply and demand

Predictive Control of a Domestic Freezer for Real-Time Demand Response Applications

NARCIS (Netherlands)

Baghina, N.G.; Lampropoulos, I.; Asare-Bediako, B.; Kling, W.L.; Ribeiro, P.F.

2012-01-01

Demand side management and demand response aim to maximize the efficiency of the electricity delivery process by exploiting the flexibility of customers. At residential level, demand response can be applied only to a limited number of appliances, through load management, due to user intervention or

Sensor Management for Applied Research Technologies (SMART)-On Demand Modeling (ODM) Project

Science.gov (United States)

Goodman, M.; Blakeslee, R.; Hood, R.; Jedlovec, G.; Botts, M.; Li, X.

2006-01-01

NASA requires timely on-demand data and analysis capabilities to enable practical benefits of Earth science observations. However, a significant challenge exists in accessing and integrating data from multiple sensors or platforms to address Earth science problems because of the large data volumes, varying sensor scan characteristics, unique orbital coverage, and the steep learning curve associated with each sensor and data type. The development of sensor web capabilities to autonomously process these data streams (whether real-time or archived) provides an opportunity to overcome these obstacles and facilitate the integration and synthesis of Earth science data and weather model output. A three year project, entitled Sensor Management for Applied Research Technologies (SMART) - On Demand Modeling (ODM), will develop and demonstrate the readiness of Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) capabilities that integrate both Earth observations and forecast model output into new data acquisition and assimilation strategies. The advancement of SWE-enabled systems (i.e., use of SensorML, sensor planning services - SPS, sensor observation services - SOS, sensor alert services - SAS and common observation model protocols) will have practical and efficient uses in the Earth science community for enhanced data set generation, real-time data assimilation with operational applications, and for autonomous sensor tasking for unique data collection.

The benefits and barriers associated with using prices to manage industrial demand

International Nuclear Information System (INIS)

Dominie, A.E.; Brunetto, T.

1990-01-01

Implementation of demand-side management (DSM) programs for the industrial sector is not the same as for the commercial or residental sectors. This difference is derived from sectoral characteristics such as global competition, uniqueness of production facilities, cash flow and budget constraints, and the relationship and trust of a customer with an electric utility. Experience has shown the success of DSM programs in industry to depend on factors such as market philosophies emphasizing fulfilling the needs of customers, the ability to measure and reward performance for achieving specific conservation and load management goals, technical expertise, short-term payback, size of risk, and degree of operational disturbance caused by the program. Time-of-use pricing for the industrial sector has been the subject of very few studies in Canada. Most of these studies show that hourly rate differentiation was not beneficial and that seasonal time-of-use rates would provide little benefit due to the nature of the load and the utility system. An outline is presented of time-of-use concepts in current Canadian utility rate structures. 1 tab

Demand Side Management in an Integrated Electricity Market: What are the Impacts on Generation and Environmental Concerns?

International Nuclear Information System (INIS)

Bergaentzle, Claire; Clastres, Cedric

2013-05-01

Smart Grid technology appears necessary to succeed in activating the demand through demand side management (DSM) programs. This would in turn improve energy efficiency and achieve environmental targets through controlled consumption. The many pilot projects led worldwide involving smart grids technology, brought quantitative evaluations of DSM measures on electricity load. Efficient DSM instruments must be fine-tuned to respond to very specific issues arising from the generation mix, the integration of intermittent energies or the level of outage risks faced during peak period. Efficient DSM strategies are illustrated through a model involving five countries that carry these different features and under the assumptions of isolated and fully interconnected markets. This paper aims at bringing recommendations regarding the instruments that should be implemented to maximize the benefits of smart grids technology and demand response. Finally, it tends to emphasis the issue of homogenized energy efficiency policies, critical in the building of internal energy markets such as the one the European Union is envisioning. (authors)

The Dynamic Response Process to Conflicting Institutional Demands in MNC Subsidiaries

DEFF Research Database (Denmark)

Holm, Alison E.; Decreton, Benoit; Nell, Phillip Christopher

2017-01-01

How do subsidiary managers react when their headquarters managers make requests that conflict with the local environment in which the subsidiary operates? Using data from a subsidiary based in Sub-Saharan Africa and headquartered in Europe, we show that subsidiary managers need more time than...... usually expected to react to headquarters demands. Subsidiary managers sometimes postpone or test headquarters demands before deciding how to respond to them. In addition, subsidiary managers can implement headquarters demands in ways that do not fit the expectations from the headquarters or local actors...... (e.g. customers, suppliers), thus resulting in additional delays. Headquarters managers must be aware that implementation can take longer than they anticipate, particularly for subsidiaries located in environments that differ substantially from the environment of the headquarters....

Air-conditioning and antibiotics: Demand management insights from problematic health and household cooling practices

International Nuclear Information System (INIS)

Nicholls, Larissa; Strengers, Yolande

2014-01-01

Air-conditioners and antibiotics are two technologies that have both been traditionally framed around individual health and comfort needs, despite aspects of their use contributing to social health problems. The imprudent use of antibiotics is threatening the capacity of the healthcare system internationally. Similarly, in Australia the increasing reliance on air-conditioning to maintain thermal comfort is contributing to rising peak demand and electricity prices, and is placing an inequitable health and financial burden on vulnerable heat-stressed households. This paper analyses policy responses to these problems through the lens of social practice theory. In the health sector, campaigns are attempting to emphasise the social health implications of antibiotic use. In considering this approach in relation to the problem of air-conditioned cooling and how to change the ways in which people keep cool during peak times, our analysis draws on interviews with 80 Australian households. We find that the problem of peak electricity demand may be reduced through attention to the social health implications of air-conditioned cooling on very hot days. We conclude that social practice theory offers a fruitful analytical route for identifying new avenues for research and informing policy responses to emerging health and environmental problems. - Highlights: • Over-use of antibiotics and air-conditioning has social health implications. • Focusing on financial incentives limits the potential of demand management programs. • Explaining peak demand to households shifts the meanings of cooling practices. • Emphasising the social health implications of antibiotics and air-conditioning may resurrect alternative practices. • Analysing policy with social practice theory offers insights into policy approaches

Water demand forecasting: review of soft computing methods.

Science.gov (United States)

Ghalehkhondabi, Iman; Ardjmand, Ehsan; Young, William A; Weckman, Gary R

2017-07-01

Demand forecasting plays a vital role in resource management for governments and private companies. Considering the scarcity of water and its inherent constraints, demand management and forecasting in this domain are critically important. Several soft computing techniques have been developed over the last few decades for water demand forecasting. This study focuses on soft computing methods of water consumption forecasting published between 2005 and 2015. These methods include artificial neural networks (ANNs), fuzzy and neuro-fuzzy models, support vector machines, metaheuristics, and system dynamics. Furthermore, it was discussed that while in short-term forecasting, ANNs have been superior in many cases, but it is still very difficult to pick a single method as the overall best. According to the literature, various methods and their hybrids are applied to water demand forecasting. However, it seems soft computing has a lot more to contribute to water demand forecasting. These contribution areas include, but are not limited, to various ANN architectures, unsupervised methods, deep learning, various metaheuristics, and ensemble methods. Moreover, it is found that soft computing methods are mainly used for short-term demand forecasting.

Production practices affecting worker task demands in concrete operations: A case study.

Science.gov (United States)

Memarian, Babak; Mitropoulos, Panagiotis

2015-01-01

Construction work involves significant physical, mental, and temporal task demands. Excessive task demands can have negative consequences for safety, errors and production. This exploratory study investigates the magnitude and sources of task demands on a concrete operation, and examines the effect of the production practices on the workers' task demands. The NASA Task Load Index was used to measure the perceived task demands of two work crews. The operation involved the construction of a cast-in-place concrete building under high schedule pressures. Interviews with each crew member were used to identify the main sources of the perceived demands. Extensive field observations and interviews with the supervisors and crews identified the production practices. The workers perceived different level of task demands depending on their role. The production practices influenced the task demands in two ways: (1) practices related to work organization, task design, resource management, and crew management mitigated the task demands; and (2) other practices related to work planning and crew management increased the crew's ability to cope with and adapt to high task demands. The findings identify production practices that regulate the workers' task demands. The effect of task demands on performance is mitigated by the ability to cope with high demands.

Impact of energy storage in buildings on electricity demand side management

International Nuclear Information System (INIS)

Qureshi, Waqar A.; Nair, Nirmal-Kumar C.; Farid, Mohammad M.

2011-01-01

Research highlights: → Phase change material (PCM) application for space heating has been implemented and assessed for built environment. → Real-Time Pricing (RTP) is assessed as tool to implement Demand Side Management programs effectively. → Two buildings, with and without PCM, have been compared for space heating using RTP in functional electricity market. → PCM found to offer peak load shifting, energy conservation, and reduction in price of electricity. -- Abstract: This paper assesses impact of using phase change materials (PCM) in buildings to leverage its thermal energy storage capability. The emphasis is from an electricity demand side perspective with case studies that incorporates wholesale electricity market data of New Zealand. The results presented in this paper show that for space heating application significant advantages could be obtained using PCM built structures. These positive impacts include peak load shifting, energy conservation and reduction in peak demand for network line companies and potential reduction in electricity consumption and savings for residential customers. This paper uses a testing facility that consists of two identically designed and shaped offices built at Tamaki Campus location of the University of Auckland, New Zealand. The walls and ceilings of one office are finished with ordinary gypsum boards while the interior of the other office is finished with PCM impregnated gypsum boards. Controlled heating facility is provided in both the offices for maintaining temperature within the range of human comfort. This facility is equipped with advanced data acquisition equipment for data monitoring and archiving both locally within the offices and also remotely. Through actual observations and analysis this paper demonstrates two major impacts of DSM. First, the application of phase change material (PCM) in building environment enabling efficient thermal storage to achieve some reduction in the overall electrical energy

Forecasting Ontario's blood supply and demand.

Science.gov (United States)

Drackley, Adam; Newbold, K Bruce; Paez, Antonio; Heddle, Nancy

2012-02-01

Given an aging population that requires increased medical care, an increasing number of deferrals from the donor pool, and a growing immigrant population that typically has lower donation rates, the purpose of this article is to forecast Ontario's blood supply and demand. We calculate age- and sex-specific donation and demand rates for blood supply based on 2008 data and project demand between 2008 and 2036 based on these rates and using population data from the Ontario Ministry of Finance. Results indicate that blood demand will outpace supply as early as 2012. For instance, while the total number of donations made by older cohorts is expected to increase in the coming years, the number of red blood cell (RBC) transfusions in the 70+ age group is forecasted grow from approximately 53% of all RBC transfusions in 2008 (209,515) in 2008 to 68% (546,996) by 2036. A series of alternate scenarios, including projections based on a 2% increase in supply per year and increased use of apheresis technology, delays supply shortfalls, but does not eliminate them without active management and/or multiple methods to increase supply and decrease demand. Predictions show that demand for blood products will outpace supply in the near future given current age- and sex-specific supply and demand rates. However, we note that the careful management of the blood supply by Canadian Blood Services, along with new medical techniques and the recruitment of new donors to the system, will remove future concerns. © 2012 American Association of Blood Banks.

A decision aiding and action management tool to control the energy demand - from conception to development; Un outil d`aide a la decision et de gestion des actions pour la maitrise de la demande d`energie - de la conception au developpement

Energy Technology Data Exchange (ETDEWEB)

Kaehler, J W.M.

1993-07-06

This work presents a synthesis of three points: the environment, energy and man. The consideration of these aspects allows us to confront the unequal distribution of energy resources, the constraints and political influences which determine the exploitation of these energy resources, and the concentration of the consumption of energy by one fifth of the world`s population and the perspective of future growth of energy use by the remaining four-fifths. It is understanding of the importance and the benefits of reducing energy requirements, combined with the environmental perspectives, that forms the core of the Integrated Resource Planning of Least is proposed. This framework will utilize the knowledge of the engineer for developing a system to aid with decision making and the management of information, and particularly with the notions henceforth referred to as `Demand-Site Management` as applied to the electrical grid. The model of such a Management Information System which demonstrates these theoretical advances is called SIADEME (Systeme Interactif d`Aide a la Decision et de Gestion des Actions de Maitrise de la Demande d`energie). This includes some examples for the management of electricity demand for both the lighting and refrigeration cases in large (> 2500 m{sup 2}) supermarkets for the French environmental and energy management agency (Ademe). (author) 216 refs.

Time management for today's workplace demands.

Science.gov (United States)

Thomack, Bill

2012-05-01

As the work force decreases, the workload remains the same or, in many cases, increases. An effective employee must arrange work time to accomplish what needs to be done in the time available. The best way to manage time is to set a goal, develop a plan, and measure the outcome. To manage time requires determining where time is currently spent, taking time at the end of the day to prepare for the next morning, managing appointments, carefully planning projects, and managing phone, electronic, and paper mail. Organization is another step in effectively managing time. An organizational system decreases wasted time. Keeping the desk clear and creating a system to organize mail improves efficiency. Time management also focuses on balance, an overall purpose, and supporting principles. Personal or professional effectiveness does not depend solely on the effort expended, but whether the effort is in the right direction. The challenge of time management is to manage not only time, but also oneself. Copyright 2012, SLACK Incorporated.

Demand-side management project for Tenaga Nasional Berhad. Progress report No. 4. Export trade information

Energy Technology Data Exchange (ETDEWEB)

NONE

1995-03-01

This study, conducted by the California Energy Commission, was funded by the U.S. Trade and Development Agency. Progress Report No. 4 is divided into the following contents: April 6, 1994 Training Mission Delegation Itinerary; April 6, 1994 Training Mission Workshop Information Package; Letter to Chairman of Tenaga Nasional Berhad Requesting Demonstration Project Funding; Design/Build Construction Bid Proposal for Energy Efficient Electric Technology Demontration Project; Final Draft of Demand-Side Management Plan for Tenaga Nasional Berhad; Attachments.

Water advisory demand evaluation and resource toolkit

OpenAIRE

Paluszczyszyn, D.; Illya, S.; Goodyer, E.; Kubrycht, T.; Ambler, M.

2016-01-01

Cities are living organisms, 24h / 7day, with demands on resources and outputs. Water is a key resource whose management has not kept pace with modern urban life. Demand for clean water and loads on waste water no longer fit diurnal patterns; and they are impacted by events that are outside the normal range of parameters that are taken account of in water management. This feasibility study will determine how the application of computational intelligence can be used to analyse a mix of dat...

Agent-Based Architectures and Algorithms for Energy Management in Smart Grids. Application to Smart Power Generation and Residential Demand Response

International Nuclear Information System (INIS)

Roche, Robin

2012-01-01

Due to the convergence of several profound trends in the energy sector, smart grids are emerging as the main paradigm for the modernization of the electric grid. Smart grids hold many promises, including the ability to integrate large shares of distributed and intermittent renewable energy sources, energy storage and electric vehicles, as well as the promise to give consumers more control on their energy consumption. Such goals are expected to be achieved through the use of multiple technologies, and especially of information and communication technologies, supported by intelligent algorithms. These changes are transforming power grids into even more complex systems, that require suitable tools to model, simulate and control their behaviors. In this dissertation, properties of multi-agent systems are used to enable a new systemic approach to energy management, and allow for agent-based architectures and algorithms to be defined. This new approach helps tackle the complexity of a cyber-physical system such as the smart grid by enabling the simultaneous consideration of multiple aspects such as power systems, the communication infrastructure, energy markets, and consumer behaviors. The approach is tested in two applications: a 'smart' energy management system for a gas turbine power plant, and a residential demand response system. An energy management system for gas turbine power plants is designed with the objective to minimize operational costs and emissions, in the smart power generation paradigm. A gas turbine model based on actual data is proposed, and used to run simulations with a simulator specifically developed for this problem. A meta-heuristic achieves dynamic dispatch among gas turbines according to their individual characteristics. Results show that the system is capable of operating the system properly while reducing costs and emissions. The computing and communication requirements of the system, resulting from the selected architecture, are

Management of demand in the NHS, including the effects of queues and pensioners.

Science.gov (United States)

Groocock, J

1999-01-01

Discusses the methods used in the NHS to bring demand into balance with supply. People with minor illnesses try self-treatments and alternative medicine. Systematic programs to identify ill people are applied to only a few illnesses. Waiting lists for elective surgery cause some richer people to take their demand to private hospitals. An analysis of such waiting lists shows that, other than this, queues are not a method of rationing but are just the effect of bad management of the actual methods, which are then discussed. The same methods are used to ration access to specialist physicians. Providing extra resources would eliminate queues only if another condition was satisfied. It is argued that providing fully adequate medical care for patients of working age, although expensive, might produce a net economic gain, whereas all care for pensioners, including medical care, gives a net economic loss. Therefore it may not be sensible for people to have inadequate medical care for the first 65 years of their lives just because it is economically impracticable for them to have fully adequate medical care when they are pensioners.

An assessment of the role mass market demand response could play in contributing to the management of variable generation integration issues

International Nuclear Information System (INIS)

Cappers, Peter; Mills, Andrew; Goldman, Charles; Wiser, Ryan; Eto, Joseph H.

2012-01-01

The penetration of wind and solar generating resources is expected to dramatically increase in the United States over the coming years. It is widely understood that large scale deployment of these types of renewable energy sources (e.g., wind, solar) that have variable and less predictable production characteristics than traditional thermal resources poses integration challenges for bulk power system operators. At present, bulk power system operators primarily utilize strategies that rely on existing thermal generation resources and improved wind and solar energy production forecasts to manage this uncertainty; a host of additional options are also envisioned for the near future including demand response (DR). There are well-established bodies of research that examine variable generation integration issues as well as demand response potential; but, the existing literature that provides a comparative assessment of the two neither treats this topic comprehensively nor in a highly integrated fashion. Thus, this paper seeks to address these missing pieces by considering the full range of opportunities and challenges for mass market DR rates and programs to support integration of variable renewable generation. - Highlights: ► Mass market demand response can help manage the integration of renewable resources. ► To be more effective, retail electricity rates must apply contemporaneous prices. ► Demand response programs will require shorter duration and more frequent events. ► Mass market customers will likely need to accept control technology. ► Market rules and regulatory policies must change to expand demand response's role.

Electricity decision-making: New techniques for calculating statewide economic impacts from new power supply and demand-side management programs

Science.gov (United States)

Tegen, Suzanne Isabel Helmholz

This dissertation introduces new techniques for calculating and comparing statewide economic impacts from new coal, natural gas and wind power plants, as well as from demand-side management programs. The impetus for this work was two-fold. First, reviews of current literature and projects revealed that there was no standard way to estimate statewide economic impacts from new supply- and demand-side electricity options. Second, decision-makers who were interviewed stated that they were overwhelmed with data in general, but also lacked enough specific information about economic development impacts to their states from electricity, to make informed choices. This dissertation includes chapters on electricity decision-making and on economic impacts from supply and demand. The supply chapter compares different electricity options in three states which vary in natural resource content: Arizona, Colorado and Michigan. To account for differing capacity factors, resources are compared on a per-megawatt-hour basis. The calculations of economic impacts from new supply include: materials and labor for construction, operations, maintenance, fuel extraction, fuel transport, as well as property tax, financing and landowner revenues. The demand-side chapter compares residential, commercial and industrial programs in Iowa. Impact calculations include: incremental labor and materials for program planning, installation and operations, as well as sales taxes and electricity saved. Results from supply-side calculations in the three states analyzed indicate that adding new wind power can have a greater impact to a state's economy than adding new gas or coal power due to resource location, taxes and infrastructure. Additionally, demand-side management programs have a higher relative percentage of in-state dollar flow than supply-side solutions, though demand-side programs typically involve fewer MWh and dollars than supply-side generation. Methods for this dissertation include researching

Distributed energy resources management using plug-in hybrid electric vehicles as a fuel-shifting demand response resource

International Nuclear Information System (INIS)

Morais, H.; Sousa, T.; Soares, J.; Faria, P.; Vale, Z.

2015-01-01

Highlights: • Definition fuel shifting demand response programs applied to the electric vehicles. • Integration of the proposed fuel shifting in energy resource management algorithm. • Analysis of fuel shifting contribution to support the consumption increasing. • Analysis of fuel shifting contribution to support the electric vehicles growing. • Sensitivity analysis considering different electric vehicles penetration levels. - Abstract: In the smart grids context, distributed energy resources management plays an important role in the power systems’ operation. Battery electric vehicles and plug-in hybrid electric vehicles should be important resources in the future distribution networks operation. Therefore, it is important to develop adequate methodologies to schedule the electric vehicles’ charge and discharge processes, avoiding network congestions and providing ancillary services. This paper proposes the participation of plug-in hybrid electric vehicles in fuel shifting demand response programs. Two services are proposed, namely the fuel shifting and the fuel discharging. The fuel shifting program consists in replacing the electric energy by fossil fuels in plug-in hybrid electric vehicles daily trips, and the fuel discharge program consists in use of their internal combustion engine to generate electricity injecting into the network. These programs are included in an energy resources management algorithm which integrates the management of other resources. The paper presents a case study considering a 37-bus distribution network with 25 distributed generators, 1908 consumers, and 2430 plug-in vehicles. Two scenarios are tested, namely a scenario with high photovoltaic generation, and a scenario without photovoltaic generation. A sensitivity analyses is performed in order to evaluate when each energy resource is required

Open-Label Randomized Trial of Titrated Disease Management for Patients with Hypertension: Study Design and Baseline Sample Characteristics

Science.gov (United States)

Jackson, George L.; Weinberger, Morris; Kirshner, Miriam A.; Stechuchak, Karen M.; Melnyk, Stephanie D.; Bosworth, Hayden B.; Coffman, Cynthia J.; Neelon, Brian; Van Houtven, Courtney; Gentry, Pamela W.; Morris, Isis J.; Rose, Cynthia M.; Taylor, Jennifer P.; May, Carrie L.; Han, Byungjoo; Wainwright, Christi; Alkon, Aviel; Powell, Lesa; Edelman, David

2016-01-01

Despite the availability of efficacious treatments, only half of patients with hypertension achieve adequate blood pressure (BP) control. This paper describes the protocol and baseline subject characteristics of a 2-arm, 18-month randomized clinical trial of titrated disease management (TDM) for patients with pharmaceutically-treated hypertension for whom systolic blood pressure (SBP) is not controlled (≥140mmHg for non-diabetic or ≥130mmHg for diabetic patients). The trial is being conducted among patients of four clinic locations associated with a Veterans Affairs Medical Center. An intervention arm has a TDM strategy in which patients' hypertension control at baseline, 6, and 12 months determines the resource intensity of disease management. Intensity levels include: a low-intensity strategy utilizing a licensed practical nurse to provide bi-monthly, non-tailored behavioral support calls to patients whose SBP comes under control; medium-intensity strategy utilizing a registered nurse to provide monthly tailored behavioral support telephone calls plus home BP monitoring; and high-intensity strategy utilizing a pharmacist to provide monthly tailored behavioral support telephone calls, home BP monitoring, and pharmacist-directed medication management. Control arm patients receive the low-intensity strategy regardless of BP control. The primary outcome is SBP. There are 385 randomized (192 intervention; 193 control) veterans that are predominately older (mean age 63.5 years) men (92.5%). 61.8% are African American, and the mean baseline SBP for all subjects is 143.6mmHg. This trial will determine if a disease management program that is titrated by matching the intensity of resources to patients' BP control leads to superior outcomes compared to a low-intensity management strategy. PMID:27417982

Demand side participation for frequency containment in the web of cells architecture

NARCIS (Netherlands)

Syed, M.H.; Burt, G.M.; Kok, J.K.; Hulst, R. d

2015-01-01

A large number of demand side management schemes have been proposed in literature for provision of frequency control ancillary services to the network. However, it is assumed that all the flexible devices within the network are managed and controlled under one demand side management (DSM) scheme. In

DEMONSTRATION OF THE ENVIRONMENTAL AND DEMAND-SIDE MANAGEMENT BENEFITS OF GRID-CONNECTED PHOTOVOLTAIC POWER SYSTEMS SITED ON MILITARY BASES

Science.gov (United States)

The report gives results of an investigation into the pollutant emission reduction and demand-side management potential of three photovoltaic (PV) systems installed at Ft. Huachuca, AZ, Ft. Dix, NJ, and Hickam Air Force Base, HI, which began operation between January and July 199...

Managing electrical demand through difficult periods: California's experience with demand response

International Nuclear Information System (INIS)

Wikler, G.; Ghosh, D.Ph.D.

2010-01-01

This paper provides a brief overview of California's electricity situation and the relevance of Demand Response (DR) in addressing some of the challenges faced by the State's electricity system. It then discusses California's experience with DR, market rules that influence what role DR plays and attempts to integrate wholesale-retail level program offerings in the State, and some of the key drivers that are likely to enhance the role of DR. Lastly, the paper identifies some of the key challenges facing implementers of DR programs and discusses how many of those challenges could potentially be overcome. (authors)

Industrial water demand management and cleaner production ...

African Journals Online (AJOL)

Processes and systems using water today are being subjected to increasingly stringent environmental regulations on effluents and there is growing demand for fresh water. In Morocco, consumption of water by industries is estimated in 1994 at 1 billion m3, the drinking water constitutes 4%. Water used in the food and drink ...

Evaluation of Ensemble Water Supply and Demands Forecasts for Water Management in the Klamath River Basin

Science.gov (United States)

Broman, D.; Gangopadhyay, S.; McGuire, M.; Wood, A.; Leady, Z.; Tansey, M. K.; Nelson, K.; Dahm, K.

2017-12-01

The Upper Klamath River Basin in south central Oregon and north central California is home to the Klamath Irrigation Project, which is operated by the Bureau of Reclamation and provides water to around 200,000 acres of agricultural lands. The project is managed in consideration of not only water deliveries to irrigators, but also wildlife refuge water demands, biological opinion requirements for Endangered Species Act (ESA) listed fish, and Tribal Trust responsibilities. Climate change has the potential to impact water management in terms of volume and timing of water and the ability to meet multiple objectives. Current operations use a spreadsheet-based decision support tool, with water supply forecasts from the National Resources Conservation Service (NRCS) and California-Nevada River Forecast Center (CNRFC). This tool is currently limited in its ability to incorporate in ensemble forecasts, which offer the potential for improved operations by quantifying forecast uncertainty. To address these limitations, this study has worked to develop a RiverWare based water resource systems model, flexible enough to use across multiple decision time-scales, from short-term operations out to long-range planning. Systems model development has been accompanied by operational system development to handle data management and multiple modeling components. Using a set of ensemble hindcasts, this study seeks to answer several questions: A) Do a new set of ensemble streamflow forecasts have additional skill beyond what?, and allow for improved decision making under changing conditions? B) Do net irrigation water requirement forecasts developed in this project to quantify agricultural demands and reservoir evaporation forecasts provide additional benefits to decision making beyond water supply forecasts? C) What benefit do ensemble forecasts have in the context of water management decisions?

Addressing Energy Demand through Demand Response. International Experiences and Practices

Energy Technology Data Exchange (ETDEWEB)

Shen, Bo [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ghatikar, Girish [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ni, Chun Chun [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Dudley, Junqiao [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Martin, Phil [Enernoc, Inc., Boston, MA (United States); Wikler, Greg

2012-06-01

Demand response (DR) is a load management tool which provides a cost-effective alternative to traditional supply-side solutions to address the growing demand during times of peak electrical load. According to the US Department of Energy (DOE), demand response reflects “changes in electric usage by end-use customers from their normal consumption patterns in response to changes in the price of electricity over time, or to incentive payments designed to induce lower electricity use at times of high wholesale market prices or when system reliability is jeopardized.” 1 The California Energy Commission (CEC) defines DR as “a reduction in customers’ electricity consumption over a given time interval relative to what would otherwise occur in response to a price signal, other financial incentives, or a reliability signal.” 2 This latter definition is perhaps most reflective of how DR is understood and implemented today in countries such as the US, Canada, and Australia where DR is primarily a dispatchable resource responding to signals from utilities, grid operators, and/or load aggregators (or DR providers).

Distributed demand-side management optimisation for multi-residential users with energy production and storage strategies

Directory of Open Access Journals (Sweden)

Emmanuel Chifuel Manasseh

2014-12-01

Full Text Available This study considers load control in a multi-residential setup where energy scheduler (ES devices installed in smart meters are employed for demand-side management (DSM. Several residential end-users share the same energy source and each residential user has non-adjustable loads and adjustable loads. In addition, residential users may have storage devices and renewable energy sources such as wind turbines or solar as well as dispatchable generators. The ES devices exchange information automatically by executing an iterative distributed algorithm to locate the optimal energy schedule for each end-user. This will reduce the total energy cost and the peak-to-average ratio (PAR in energy demand in the electric power distribution. Users possessing storage devices and dispatchable generators strategically utilise their resources to minimise the total energy cost together with the PAR. Simulation results are provided to evaluate the performance of the proposed game theoretic-based distributed DSM technique.

Climate change and energy demand

International Nuclear Information System (INIS)

Hengeveld, H.G.

1991-01-01

Climate and weather events affect energy demand in most economic sectors. Linear relationships exist between consumption and heating degree days, and peak electricity demand increases significantly during heat waves. The relative magnitudes of demand changes for a two times carbon dioxide concentration scenario are tabulated, illustrating heating degree days and cooling degree days for 5 Prairie locations. Irrigation, water management, crop seeding and harvesting and weed control are examples of climate-dependent agricultural activities involving significant energy use. The variability of summer season liquid fuel use in the agricultural sector in the Prairie provinces from 1984-1989 shows a relationship between agricultural energy use and regional climate fluctuations. 4 refs., 2 figs., 1 tab

Communications technologies for demand side management, DSM, and European utility communications architecture, EurUCA

Energy Technology Data Exchange (ETDEWEB)

Uuspaeae, P. [VTT Energy, Espoo (Finland)

1996-12-31

The scope of this research is data communications for electric utilities. Demand Side Management (DSM) calls for communication between the Electric Utility and the Customer. The communication capacity needed will depend on the functions that are chosen for DSM, and on the number of customers. Some functions may be handled with one-way communications, some functions require two-way communication. Utility Communication Architecture looks for an overall view of the communications needs and communication systems in an electric utility. The objective is to define and specify suitable and compatible communications procedures within the Utility and also to outside parties. (27 refs.)

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices

Science.gov (United States)

Chassin, David P [Pasco, WA; Donnelly, Matthew K [Kennewick, WA; Dagle, Jeffery E [Richland, WA

2011-12-06

Electrical power distribution control methods, electrical energy demand monitoring methods, and power management devices are described. In one aspect, an electrical power distribution control method includes providing electrical energy from an electrical power distribution system, applying the electrical energy to a load, providing a plurality of different values for a threshold at a plurality of moments in time and corresponding to an electrical characteristic of the electrical energy, and adjusting an amount of the electrical energy applied to the load responsive to an electrical characteristic of the electrical energy triggering one of the values of the threshold at the respective moment in time.

Communications technologies for demand side management, DSM, and European utility communications architecture, EurUCA

Energy Technology Data Exchange (ETDEWEB)

Uuspaeae, P [VTT Energy, Espoo (Finland)

1997-12-31

The scope of this research is data communications for electric utilities. Demand Side Management (DSM) calls for communication between the Electric Utility and the Customer. The communication capacity needed will depend on the functions that are chosen for DSM, and on the number of customers. Some functions may be handled with one-way communications, some functions require two-way communication. Utility Communication Architecture looks for an overall view of the communications needs and communication systems in an electric utility. The objective is to define and specify suitable and compatible communications procedures within the Utility and also to outside parties. (27 refs.)

Albedo and vegetation demand-side management options for warm climates

International Nuclear Information System (INIS)

Hall, Darwin C.

1997-01-01

For electric utilities, demand-side management (DSM) can reduce electric load and shift load from peak to off-peak periods. In general, the investor in DSM collects the reward with lower electric bills, excepting a positive externality because of reduced tropospheric and stratospheric air pollution from fossil fuel power plants. In warm climates, DSM options include increasing albedo and vegetation, respectively, by painting surfaces white and planting trees; these DSM options are distinguished from all other DSM options because of ecosystem effects. Ambient temperature falls, mitigating the urban 'heat island', which reduces electric load and ozone formation. The investor in albedo and vegetation DSM options does not collect all of the reward from lower electric bills, since the lower ambient temperature provides savings to all customers who use electricity for air conditioning and refrigeration. Similar to other DSM options, air pollution is also reduced as a result of lower power plant emissions. Complex airshed models and electric utility system dispatch models are applied in this paper to account for some of these ecosystem effects. Unaccounted ecosystem effects remain, stymieing cost effectiveness analysis

Characterising Wildlife Trade Market Supply-Demand Dynamics

Science.gov (United States)

Rowcliffe, M.; Cowlishaw, G.; Alexander, J. S.; Ntiamoa-Baidu, Y.; Brenya, A.; Milner-Gulland, E. J.

2016-01-01

The trade in wildlife products can represent an important source of income for poor people, but also threaten wildlife locally, regionally and internationally. Bushmeat provides livelihoods for hunters, traders and sellers, protein to rural and urban consumers, and has depleted the populations of many tropical forest species. Management interventions can be targeted towards the consumers or suppliers of wildlife products. There has been a general assumption in the bushmeat literature that the urban trade is driven by consumer demand with hunters simply fulfilling this demand. Using the urban bushmeat trade in the city of Kumasi, Ghana, as a case study, we use a range of datasets to explore the processes driving the urban bushmeat trade. We characterise the nature of supply and demand by explicitly considering three market attributes: resource condition, hunter behaviour, and consumer behaviour. Our results suggest that bushmeat resources around Kumasi are becoming increasingly depleted and are unable to meet demand, that hunters move in and out of the trade independently of price signals generated by the market, and that, for the Kumasi bushmeat system, consumption levels are driven not by consumer choice but by shortfalls in supply and consequent price responses. Together, these results indicate that supply-side processes dominate the urban bushmeat trade in Kumasi. This suggests that future management interventions should focus on changing hunter behaviour, although complementary interventions targeting consumer demand are also likely to be necessary in the long term. Our approach represents a structured and repeatable method to assessing market dynamics in information-poor systems. The findings serve as a caution against assuming that wildlife markets are demand driven, and highlight the value of characterising market dynamics to inform appropriate management. PMID:27632169

Using Demand Side Management to Adapt to Water Scarcity and ...

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

The Saiss is a sub-basin of the Sebou basin in Northern Morocco. Due to decreased precipitation and increased water demand, the surface waters of the Saiss basin have been greatly reduced. At the current rate of exploitation, the aquifer will be depleted within 25 years. This project will examine whether demand-side ...

A Decision Support System for Demand Management of the Rio Conchos Basin, Mexico

Science.gov (United States)

Stewart, S.; Valdes, J.; Gastelum, J.; Brookshire, D.; Aparicio, J.; Hidalgo, J.; Velazco, I.

2003-12-01

that will provide a tool to simulate hydrological profiles, ecosystem variability, changes in irrigation technology, and changes in management regimes within the basin and will serve to inform decision-makers of the water demand and supply changes necessary to meet the needs of international obligations and growing populations in the short and long term. The initial set of available management options include water banking and water trading within each country as well as irrigation standards, application efficiency, and water banking across borders.

Optimum residential load management strategy for real time pricing (RTP) demand response programs

International Nuclear Information System (INIS)

Lujano-Rojas, Juan M.; Monteiro, Cláudio; Dufo-López, Rodolfo; Bernal-Agustín, José L.

2012-01-01

This paper presents an optimal load management strategy for residential consumers that utilizes the communication infrastructure of the future smart grid. The strategy considers predictions of electricity prices, energy demand, renewable power production, and power-purchase of energy of the consumer in determining the optimal relationship between hourly electricity prices and the use of different household appliances and electric vehicles in a typical smart house. The proposed strategy is illustrated using two study cases corresponding to a house located in Zaragoza (Spain) for a typical day in summer. Results show that the proposed model allows users to control their diary energy consumption and adapt their electricity bills to their actual economical situation. - Highlights: ► This work shows an optimal load management strategy for residential consumers. ► It has been considered the communication infrastructure of the future smart grid. ► A study case shows the optimal utilization of some appliances and electric vehicles. ► Results showed that the proposed model allows users to reduce their electricity bill.

Power management and frequency regulation for microgrid and smart grid: A real-time demand response approach

Science.gov (United States)

Pourmousavi Kani, Seyyed Ali

Future power systems (known as smart grid) will experience a high penetration level of variable distributed energy resources to bring abundant, affordable, clean, efficient, and reliable electric power to all consumers. However, it might suffer from the uncertain and variable nature of these generations in terms of reliability and especially providing required balancing reserves. In the current power system structure, balancing reserves (provided by spinning and non-spinning power generation units) usually are provided by conventional fossil-fueled power plants. However, such power plants are not the favorite option for the smart grid because of their low efficiency, high amount of emissions, and expensive capital investments on transmission and distribution facilities, to name a few. Providing regulation services in the presence of variable distributed energy resources would be even more difficult for islanded microgrids. The impact and effectiveness of demand response are still not clear at the distribution and transmission levels. In other words, there is no solid research reported in the literature on the evaluation of the impact of DR on power system dynamic performance. In order to address these issues, a real-time demand response approach along with real-time power management (specifically for microgrids) is proposed in this research. The real-time demand response solution is utilized at the transmission (through load-frequency control model) and distribution level (both in the islanded and grid-tied modes) to provide effective and fast regulation services for the stable operation of the power system. Then, multiple real-time power management algorithms for grid-tied and islanded microgrids are proposed to economically and effectively operate microgrids. Extensive dynamic modeling of generation, storage, and load as well as different controller design are considered and developed throughout this research to provide appropriate models and simulation

Water demand management: A policy response to climate change

International Nuclear Information System (INIS)

Rivers, R.; Tate, D.

1990-01-01

The impacts of climate change on the water resources of the Great Lakes region are discussed. It is predicted that there will be a relative water scarcity in the Great Lakes basin of Ontario as climate changes occur over the next two decades. Declines in water supply will be accompanied by deterioration in the quality of fresh water as higher temperatures and higher relative quantities of discharged wastewater to water bodies reduce both assimilative and dilutive capacity. The most cost effective policy is to encourage water conservation through programs of water demand management. Water should be priced at the point at which its marginal cost is equal to its marginal product, ie. if priced any higher, less efficient substitutes would be used. Not only would water usage, and subsequent degradation of used water, be reduced, but energy and other cost savings would be achieved. The additional costs that apply to water users could be returned to the communities as additional revenue to be applied against sewage treatment upgrades and other environmental enhancements. Communities involved in water study should consider the development of water use analysis models to assist with decision making about allocation, pricing and availability of water supplies. 10 refs

Electric power market liberalization and demand-side management (DSM); Denryoku shijo jiyuka to DSM

Energy Technology Data Exchange (ETDEWEB)

Yajima, M. [Central Research Institute of Electric Power Industry, Tokyo (Japan)

1997-01-30

This paper explains effects of market liberalization which will lead to introducing competition in electric power business on demand-side management (DSM), by quoting examples mainly in the United States. The paper also describes the future outlook thereon. The DSM program in the United States has expanded for the period between 1989 through 1994. However, during the last few years, the movements of electric power market liberalization have come to force electric power business entities to change their management strategies and reduction in expense. This situation has resulted in reduction in the DSM budget. Future DSM programs are thought to diversify into the following types: a program such as load management which has effect of reducing expenses and investments in investment time periods of 5 to 10 years, a program effective for users such as high-efficiency motors which have effects of reducing expenses and improving efficiency in investment time periods of 3 to 5 years, a program which will be effective enough if market barriers are removed after the market conversions, but requires subsidies and purchase guarantees, and a social program intended for environmental effects and low-income users. 4 refs., 1 tab.

Option value of electricity demand response

Energy Technology Data Exchange (ETDEWEB)

Sezgen, Osman; Goldman, C.A. [Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley CA 94720 (United States); Krishnarao, P. [Citigroup Energy Inc., 1301 Fannin St, Houston, TX 77002 (United States)

2007-02-15

As electricity markets deregulate and energy tariffs increasingly expose customers to commodity price volatility, it is difficult for energy consumers to assess the economic value of investments in technologies that manage electricity demand in response to changing energy prices. The key uncertainties in evaluating the economics of demand-response technologies are the level and volatility of future wholesale energy prices. In this paper, we demonstrate that financial engineering methodologies originally developed for pricing equity and commodity derivatives (e.g., futures, swaps, options) can be used to estimate the value of demand-response technologies. We adapt models used to value energy options and assets to value three common demand-response strategies: load curtailment, load shifting or displacement, and short-term fuel substitution-specifically, distributed generation. These option models represent an improvement to traditional discounted cash flow methods for assessing the relative merits of demand-side technology investments in restructured electricity markets. (author)

Option value of electricity demand response

International Nuclear Information System (INIS)

Sezgen, Osman; Goldman, C.A.; Krishnarao, P.

2007-01-01

As electricity markets deregulate and energy tariffs increasingly expose customers to commodity price volatility, it is difficult for energy consumers to assess the economic value of investments in technologies that manage electricity demand in response to changing energy prices. The key uncertainties in evaluating the economics of demand-response technologies are the level and volatility of future wholesale energy prices. In this paper, we demonstrate that financial engineering methodologies originally developed for pricing equity and commodity derivatives (e.g., futures, swaps, options) can be used to estimate the value of demand-response technologies. We adapt models used to value energy options and assets to value three common demand-response strategies: load curtailment, load shifting or displacement, and short-term fuel substitution-specifically, distributed generation. These option models represent an improvement to traditional discounted cash flow methods for assessing the relative merits of demand-side technology investments in restructured electricity markets. (author)

Australia's long-term electricity demand forecasting using deep neural networks

OpenAIRE

Hamedmoghadam, Homayoun; Joorabloo, Nima; Jalili, Mahdi

2018-01-01

Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation. Demand over-estimation results in over-investment in network assets, driving up the electricity prices, while demand under-estimation may lead to under-investment resulting in unreliable and insecure electricity. In this manuscript, we apply deep neural networks to predict Australia's long-term electricity demand. A stacked autoencoder is used in...

Fundamental Travel Demand Model Example

Science.gov (United States)

Hanssen, Joel

2010-01-01

Instances of transportation models are abundant and detailed "how to" instruction is available in the form of transportation software help documentation. The purpose of this paper is to look at the fundamental inputs required to build a transportation model by developing an example passenger travel demand model. The example model reduces the scale to a manageable size for the purpose of illustrating the data collection and analysis required before the first step of the model begins. This aspect of the model development would not reasonably be discussed in software help documentation (it is assumed the model developer comes prepared). Recommendations are derived from the example passenger travel demand model to suggest future work regarding the data collection and analysis required for a freight travel demand model.

An inexact two-stage stochastic robust programming for residential micro-grid management-based on random demand

International Nuclear Information System (INIS)

Ji, L.; Niu, D.X.; Huang, G.H.

2014-01-01

In this paper a stochastic robust optimization problem of residential micro-grid energy management is presented. Combined cooling, heating and electricity technology (CCHP) is introduced to satisfy various energy demands. Two-stage programming is utilized to find the optimal installed capacity investment and operation control of CCHP (combined cooling heating and power). Moreover, interval programming and robust stochastic optimization methods are exploited to gain interval robust solutions under different robustness levels which are feasible for uncertain data. The obtained results can help micro-grid managers minimizing the investment and operation cost with lower system failure risk when facing fluctuant energy market and uncertain technology parameters. The different robustness levels reflect the risk preference of micro-grid manager. The proposed approach is applied to residential area energy management in North China. Detailed computational results under different robustness level are presented and analyzed for providing investment decision and operation strategies. - Highlights: • An inexact two-stage stochastic robust programming model for CCHP management. • The energy market and technical parameters uncertainties were considered. • Investment decision, operation cost, and system safety were analyzed. • Uncertainties expressed as discrete intervals and probability distributions

Developing a demand side management strategic framework through a collaborative [process

International Nuclear Information System (INIS)

Kostler, J.

1992-01-01

Alberta Power Ltd. is developing a demand side management (DSM) strategic framework through a collaborative process that began in September 1991. The process is seen to have the advantages of involving customers in DSM issues, giving them the opportunity to determine the outcome, being less confrontational, and having the capability of arriving at solutions unattainable through other processes. Issues being considered in the collaborative process include cost effectiveness, externalities, screening and analyzing of DSM measures, cost allocation and recovery, DSM lost revenues, the utility role in DSM, measurement criteria, and incentives. The process includes day-long meetings of a 12-member collaborative group comprising representatives from Alberta Power, government agencies, industry and municipal associations, and environmental and consumer organizations. A professional facilitator and an expert consultant from outside Alberta Power were employed to support the collaborative process. The process is working well and is on track to present the utility with a strategic framework to deal with DSM

An Improved Fuzzy C-Means Algorithm for the Implementation of Demand Side Management Measures

Directory of Open Access Journals (Sweden)

Ioannis Panapakidis

2017-09-01

Full Text Available Load profiling refers to a procedure that leads to the formulation of daily load curves and consumer classes regarding the similarity of the curve shapes. This procedure incorporates a set of unsupervised machine learning algorithms. While many crisp clustering algorithms have been proposed for grouping load curves into clusters, only one soft clustering algorithm is utilized for the aforementioned purpose, namely the Fuzzy C-Means (FCM algorithm. Since the benefits of soft clustering are demonstrated in a variety of applications, the potential of introducing a novel modification of the FCM in the electricity consumer clustering process is examined. Additionally, this paper proposes a novel Demand Side Management (DSM strategy for load management of consumers that are eligible for the implementation of Real-Time Pricing (RTP schemes. The DSM strategy is formulated as a constrained optimization problem that can be easily solved and therefore, making it a useful tool for retailers’ decision-making framework in competitive electricity markets.

The impact of an educational intervention, the New GP Contract and NICE guidelines on anti-epilepsy therapeutic drug monitoring.

Science.gov (United States)

Minshall, I; Berry, D; Smith, D

2011-03-01

Since the early 1970s therapeutic drug monitoring (TDM) of anti-epilepsy drug (AED) levels has been available to assist in the review process of patients with epilepsy. Routine blood levels were not part of the Quality and Outcomes Framework in the New GP Contract, neither have they been generally recommended in National Guidelines (NICE and SIGN) for the management of patients with epilepsy. To assess the impact of an educational intervention, the New GP Contract and NICE guidelines on the number of requests for TDM. Retrospective study. 39 general practices serving Chester (13), the Rural area surrounding Chester (13) and Ellesmere Port (13). An educational intervention took place in the individual Chester practices between December 2001 and March 2003. For the Rural and Ellesmere Port practices there was one combined event in March 2004 and in March 2007, respectively. Practices were encouraged, not to routinely request TDM, except in certain circumstances. The number of TDM requests for Chester, Rural and Ellesmere Port were obtained from the local laboratory in Chester, plus other nearby hospitals, to provide control groups. The number of TDM requests from primary care for Chester, Rural, Ellesmere Port, Wirral, Crewe, Warrington and Wrexham, April to April, 2002 through to 2008, where available. There has been a fall in the number requests in all districts. The most significant falls were in Chester (47%), Rural (34%) and Ellesmere Port (47%), and corresponded to the time of their educational intervention. The fall has been less marked in Wirral (25%), Crewe (27%), Wrexham (10%) and Warrington (9%). In 2004, the first year after the introduction of the New GP Contract, TDM in Chester and the Rural fell significantly, while those in Ellesmere Port, Wirral, Crewe and Wrexham increased. TDM dropped significantly in Ellesmere Port in the year after their educational intervention. Despite the valproate assay being clinically unhelpful there were still 611 requests

Managing the growing energy demand - The case of Egypt

Energy Technology Data Exchange (ETDEWEB)

El-Kholy, Hosni; Faried, Ragy

2010-09-15

The electric energy consumption rate in Egypt has an average increase of 7% per year through the last three decades. In order to satisfy the ever increasing energy demand, several actions were, and have to be taken. These actions have to be carried out in parallel. The one having the greatest effect is the measures carried out for energy conservation and loss reduction. Diversifying the energy source such as utilization of Renewable Energy technologies can contribute to satisfying the demand and extending the hydro-carbon reserves life. Regional integration of electrical networks will save expenditures used to build additional power plants.

Evaluation of actions for better water supply and demand management in Fayoum, Egypt using RIBASIM

Directory of Open Access Journals (Sweden)

Mohie M. Omar

2013-10-01

Full Text Available Fayoum Governorate faces many water-related challenges being; compensating the water shortage and controlling the volumes of drainage water effluents into Quarun Lake. There are many actions, based on water resources management approach, which can help overcome these water-related challenges. These actions are classified to developing additional water resources (supply management, and properly using the existing water resources (demand management. This study investigates using the RIBASIM (RIver BAsin SIMulation model, the most suitable actions for the future. RIBASIM was used to simulate the current condition and evaluate various scenarios in 2017 based on different actions. Three scenarios were formulated being optimistic, moderate, and pessimistic which represent different implementation rates of the tested actions. RIBASIM results indicated a water shortage of 0.59, 1, and 1.85 Billion Cubic Meter (BCM/year, for the simulated scenarios, respectively. Since Fayoum is a miniature of Egypt with respect to both, the natural and water resources systems, the results of this study can be used as guidelines for optimization of the water resources system in Egypt.

Generation and Demand Scheduling for a Grid-Connected Hybrid Microgrid Considering Price-based Incentives

DEFF Research Database (Denmark)

Hernández, Adriana Carolina Luna; Aldana, Nelson Leonardo Diaz; Savaghebi, Mehdi

2017-01-01

Microgrids rely on energy management levels to optimally schedule their components. Conventionally, the research in this field has been focused on the optimal formulation of the generation or the demand side management separately without considering real case scenarios and validated only...... by simulation. This paper presents the power scheduling of a real site microgrid under a price-based demand response program defined in Shanghai, China managing generation and demand simultaneously. The proposed optimization problem aims to minimize operating cost by managing renewable energy sources as well...

Metering systems and demand-side management models applied to hybrid renewable energy systems in micro-grid configuration

International Nuclear Information System (INIS)

Blasques, L.C.M.; Pinho, J.T.

2012-01-01

This paper proposes a demand-side management model integrated to a metering system for hybrid renewable energy systems in micro-grid configuration. The proposal is based on the management problems verified in most of this kind of renewable hybrid systems installed in Brazil. The main idea is the implementation of a pre-paid metering system with some control functions that directly act on the consumer demand, restricting the consumption proportionally to the monthly availability of renewable energy. The result is a better distribution of the electricity consumption by month and by consumer, preventing that only one user, with larger purchasing power, consumes all the renewable energy available at some time period. The proportionality between the consumption and the renewable energy's availability has the objective to prevent a lack of energy stored and a high use of the diesel generator-set on months of low renewable potential. This paper also aims to contribute to the Brazilian regulation of renewable energy systems supplying micro-grids. - Highlights: ► Review of the Brazilian electricity regulation for small-scale isolated systems. ► Renewable systems are the most feasible option in several isolated communities. ► One proposal is to guarantee government subsidies for renewable energy systems. ► Smart electronic meters to create electricity restrictions for the consumers.

Climate-related electricity demand-side management in oil-exporting countries--the case of the United Arab Emirates

International Nuclear Information System (INIS)

Al-Iriani, Mahmoud A.

2005-01-01

The oil crisis of the 1970s has increased the concern about the continuity of oil imports flow to major oil-importing developed countries. Numerous policy measures including electricity demand-side management (DSM) programs have been adopted in such countries. These measures aim at reducing the growing need for electricity power that increases the dependency on imported foreign oil and damages the environment. On the other hand, the perception that energy can be obtained at very low cost in oil-rich countries led to less attention being paid to the potential of DSM policies in these countries. This paper discusses such potential using the case of the United Arab Emirates (UAE). Since air conditioning is a major source of electric energy consumption, the relationship between climate conditions and electric energy consumption is considered. An electricity demand model is constructed using time series techniques. The fitted model seems to represent these relationships rather well. Forecasts for electricity consumption using the estimated model indicate that a small reduction in cooling degrees requirement might induce a significant reduction in electric energy demand. Hence, a DSM program is proposed with policy actions to include, among others, measures to reduce cooling degrees requirement

Responsible management of tropical peatlands: balancing competing demands on a fragile resource

Science.gov (United States)

Page, Susan; Evans, Christopher; Gauci, Vincent

2017-04-01

In 2010 the International Peatland Society published a strategy for responsible peatland management, with the following guiding principles: (i) ensure that high conservation value peatlands are identified and conserved, (ii) manage 'utilised' peatlands responsibly, and (iii) rehabilitate or restore drained, degraded or otherwise irreversibly changed peatlands to restore as many ecological and landscape functions as possible. At the time of its publication, the main focus of the strategy was on northern peatlands, although a few partner organisations in SE Asia were involved in the strategy consultation process. Given the rapid rate of peatland development in SE Asia in the last 7 years and the growing interest in tropical peatland rehabilitation and restoration, we believe that it is now timely to review what a strategy for responsible tropical peatland management might look like. SE Asia's peatlands cover 250,000 km2 of the region and store 69 Gt C but they are subject to continuing deforestation, biodiversity loss, land subsidence/flooding, increasing greenhouse gas (GHG) emissions, and health impacts due to air pollution from land-clearing fires, all of which pose huge regional and global challenges. Around 75% of the peatlands have been deforested in the last 20 years, with 35% of cleared land now under industrial plantation, 34% under smallholder cultivation, and 25% unutilised, largely as a result of uncontrolled land-clearing fires. The production intensity (GHG emissions per calorie produced) of crops grown on SE Asian organic soils is among the highest in the world (Carlson et al. 2016). There are clear tensions between reconciling peatland management for conservation goals (of biodiversity, carbon and natural resources) with economic and livelihood development goals. A balance needs to be struck between the absolute value and distribution of short term economic gains vs. peatland management strategies that deliver longer-term, sustainable and shared

Electricity demand in France: what's at stake for the energy transition?

International Nuclear Information System (INIS)

Berghmans, Nicolas

2017-02-01

This study identifies five key issues linked to electricity consumption to be taken into consideration in the management of the French power system transition: articulating the building stock renovation strategy and electricity consumption; integrating demand for electricity stemming from the development of electric vehicles; addressing winter 'peak' demand with specific demand-side policies; establishing energy demand management economic models as a flexible solution for the power system; identifying the impact of the emergence of a power system that is decentralised, balanced locally and connected with other energy carriers on the nature of demand for power from the grid. In the context of weak economic and demographic growth, the recent stabilization of electricity demand in France can be attributed to 'structural' factors, i.e. the continued expansion of the tertiary sector in the economy and the acceleration in energy efficiency gains. This evolution was poorly anticipated by stakeholders in the sector, which contributed to an imbalance between electricity demand and supply in Europe. In the absence of a major disruption, planning for transition in the electrical system should be made assuming relatively stable demand. However, major transformations will change the nature of the requirements placed on the electricity system: the times at which energy is consumed, the ability to manage the demand side of the system, and the geographical location of electricity demand within the network. Five key challenges are identified to anticipate the development of electricity consumption patterns: the role of electricity in satisfying building sector heating requirements, the integration of electric vehicle charging, the evolution of the winter demand peak, the development of demand-side management, and the emergence of an electric system based on local-level balancing. Too often considered an exogenous factor, the development in electricity consumption is in fact central

Criteria for demand response systems

NARCIS (Netherlands)

Lampropoulos, I.; Kling, W.L.; Bosch, van den P.P.J.; Ribeiro, P.F.; Berg, van den J.

2013-01-01

The topic of demand side management is currently becoming more important than ever, in parallel with the further deregulation of the electricity sector, and the increasing integration of renewable energy sources. A historical review of automation integration in power system control assists in

Notification: Follow-Up on OIG Report 12-P-0417, Weaknesses in EPA’s Management of the Radiation Network System Demand Attention

Science.gov (United States)

Project #OPE-FY14-0010, January 2, 2014. The EPA OIG is beginning preliminary research on the EPA's actions to address the recommendations in the Apr 19, 2012, OIG Report, Weaknesses in EPA's Management of the Radiation Network System Demand Attention.

Feasibility and potential of thermal demand side management in residential buildings considering different developments in the German energy market

International Nuclear Information System (INIS)

Wolisz, Henryk; Punkenburg, Carl; Streblow, Rita; Müller, Dirk

2016-01-01

Highlights: • A scenario analysis for the German energy market in the year 2030 is performed. • Growing demand for flexible electric capacities is identified in all scenarios. • Significant potential for domestic demand side management is identified. • A distinct potential for dynamic operation of domestic supply systems is found. • The necessity for a quick introduction of smart metering and control is found. - Abstract: A transition in the electricity market is required to manage the volatility of increasing renewable energy generation. These fluctuations can be faced with flexible consumption through Demand Side Management (DSM), establishment of further centralized storage capacities and provisioning of dynamic back up generation capacities. At least the latter two options can impose large establishment and operation costs upon the electricity market. Therefore, the feasibility and the resulting potential of coupling the electricity grid with the thermal supply of residential buildings is analysed in this paper. Thereby, inexpensive and widespread thermal storage capacities could be used to improve the integration of dynamic renewable electricity generation. In this paper the technical and economical key impact factors for such thermal DSM approach are elaborated. Based on a literature review, the identified key factors are aggregated to form consistent scenarios of the German “Energiewende” (turnaround in energy policy). The practicability and possible magnitude of the intended DSM is then analysed based on the identified scenarios. All resulting scenarios highlight the growing demand for a flexible electricity market. Especially in scenarios with strong growth of renewable electricity generation, up to 45 GW of flexible electric capacities would be required in Germany by the year 2030. Furthermore, the analysis demonstrates that independently of the energy market development, it is very likely that electricity coupled supply systems will

Water demand management in Yemen and Jordan: addressing power and interests.

Science.gov (United States)

Zeitoun, Mark; Allan, Tony; Al Aulaqi, Nasser; Jabarin, Amer; Laamrani, Hammou

2012-01-01

This paper investigates the extent to which entrenched interests of stakeholder groups both maintain water use practice, and may be confronted. The focus is on the agricultural sectors of Yemen and Jordan, where water resource policymakers face resistance in their attempts to reduce water use to environmentally sustainable levels through implementation of water demand management (WDM) activities. Some farmers in both countries that have invested in irrigated production of high-value crops (such as qat and bananas) benefit from a political economy that encourages increased rather than reduced water consumption. The resultant over-exploitation of water resources affects groups in unequal measures. Stakeholder analysis demonstrates that the more ‘powerful’ groups (chiefly the large landowners and the political elites, as well as the ministries of irrigation over which they exert influence) are generally opposed to reform in water use, while the proponents of WDM (e.g. water resource managers, environmental ministries and NGOs, and the international donor community) are found to have minimal influence over water use policy and decisionmaking. Efforts and ideas attempted by this latter group to challenge the status quo are classified here as either (a) influencing or (b) challenging the power asymmetry, and the merits and limits of both approaches are discussed. The interpretation of evidence suggests current practice is likely to endure, but may be more effectively challenged if a long-term approach is taken with an awareness of opportunities generated by windows of opportunity and the participation of ‘overlap groups’.

Demand side management program evaluation based on industrial and commercial field data

International Nuclear Information System (INIS)

Eissa, M.M.

2011-01-01

Demand Response is increasingly viewed as an important tool for use by the electric utility industry in meeting the growing demand for electricity. There are two basic categories of demand response options: time varying retail tariffs and incentive Demand Response Programs. is applying the time varying retail tariffs program, which is not suitable according to the studied load curves captured from the industrial and commercial sectors. Different statistical studies on daily load curves for consumers connected to 22 kV lines are classified. The load curve criteria used for classification is based on peak ratio and night ratio. The data considered here is a set of 120 annual load curves corresponding to the electric power consumption (the western area in the King Saudi Arabia (KSA)) of many clients in winter and some months in the summer (peak period). The study is based on real data from several Saudi customer sectors in many geographical areas with larger commercial and industrial customers. The study proved that the suitable Demand Response for the ESC is the incentive program. - Highlights: → Study helps in selecting the proper demand side program. → A credit will be given for the customers during summer months. → Reduction in the electric bill. → Monthly bill credit is decreased based on customers' peak load reduction. → Guide for applying the proper demand side program suitable for the utility and customers.

Novel algorithm for aggregated demand response strategy for smart distribution network

NARCIS (Netherlands)

Babar, M.; Ahamed, I.; Shah, A.; Al-Ammar, E.A.; Malik, N.H.

2013-01-01

Advancement in demand side management strategies enables smart grid to cope with the ever increasing energy demand and provide economic benefit to all of it's stakeholders. Moreover, emerging concept of smart pricing and advances in load control can provide new business opportunities for demand side

Performance Assessment of Aggregation Control Services for Demand Response

DEFF Research Database (Denmark)

Bondy, Daniel Esteban Morales; Costanzo, Giuseppe Tommaso; Heussen, Kai

2014-01-01

Aggregation algorithms that provide services to the grid via demand side management are moving from research ideas to the market. With the diversity of the technology delivering such services, it becomes essential to establish transparent performance standards from a service delivery perspective...... of the quality of service provided by an aggregation control algorithm. By a detailed case study we present and an application of the index, comparing the performance of two different control architectures for demand side management delivering a distribution grid service....

Management of mobility demand

Energy Technology Data Exchange (ETDEWEB)

Seiffert, U [Braunschweig Technical Univ., Braunschweig (Germany)

1996-11-01

The quality of the transportation system for people and goods will also determine the quality of our lives. Technical possibilities for substantial improvements exist or will be created over the course of the next 10 years. For this reason, the management of transportation in the cities, suburbs, between cities and states using the computer and software power available today appears to be a viable solution. (author) 10 figs., 15 refs.

The Wisconsin experience with incentives for demand-side management

International Nuclear Information System (INIS)

Landgren, D.A.

1990-01-01

It has been noted that, within traditional regulatory frameworks for electric utilities, factors exist which discourage demand side management (DSM) and that there is a lack of positive incentives for DSM. Regulatory agencies should therefore make it possible for DSM measures to benefit from the same treatment as supply-side measures. The Wisconsin Public Service Commission (WPSC) has recognized this need and has adopted various measures accordingly. The need for efficiency incentives is described according to the particular experience of Wisconsin Electric concerning their recourse to a DSM incentive and according to new incentive models being tested in collaboration with other electricity suppliers in Wisconsin. The WPSC has concluded that the fact of considering the costs relating to DSM as expenses or capitalizing them within the rate base does not motivate the utility to promote DSM programs. The WPSC has thus decided to experiment with energy efficiency incentives in order to evaluate their eventual impact. The choice of the type of incentive had an objective of starting the process in an area where the lack of experience has created, from the regulatory point of view, a reticence on the part of utilities to engage in DSM programs. The WPSC has designed a variety of incentive models which have been adapted to each utility's own situation. Specific incentive programs developed for three Wisconsin utilities are reviewed

Local government involvement in long term resource planning for community energy systems. Demand side management

Energy Technology Data Exchange (ETDEWEB)

1992-03-01

A program was developed to coordinate governmental, research, utility, and business energy savings efforts, and to evaluate future potential actions, based on actual field data obtained during the implementation of Phase I of the State Resource Plan. This has lead to the establishment of a state conservation and energy efficiency fund for the purpose of establishing a DSM Program. By taking a state wide perspective on resource planning, additional savings, including environmental benefits, can be achieved through further conservation and demand management. This effort has already blossomed into a state directive for DSM programs for the natural gas industry.

Risk management and participation planning of electric vehicles in smart grids for demand response

International Nuclear Information System (INIS)

Nezamoddini, Nasim; Wang, Yong

2016-01-01

Demand response (DR) can serve as an effective tool to better balance the electricity demand and supply in the smart grid. It is defined as 'the changes in electricity usage by end-use customers from their normal consumption patterns' in response to pricing and incentive payments. This paper focuses on new opportunities for DR with electric vehicles (EVs). EVs are potential distributed energy resources that support both the grid-to-vehicle and vehicle-to-grid modes. Their participation in the time-based (e.g., time-of-use) and incentive-based (e.g., regulation services) DR programs helps improve the stability and reduce the potential risks to the grid. Smart scheduling of EV charging and discharging activities also supports high penetration of renewables with volatile energy generation. This paper proposes a novel stochastic model from the Independent System Operator's perspective for risk management and participation planning of EVs in the smart grid for DR. The risk factors considered in this paper involve those caused by uncertainties in renewables (wind and solar), load patterns, parking patterns, and transmission lines' reliability. The effectiveness of the model in response to various settings such as the area type (residential, commercial, and industrial), the EV penetration level, and the risk level has been investigated. - Highlights: • We identify new opportunities for demand response (DR) using electric vehicles (EVs). • We integrate EVs in both grid-to-vehicle and vehicle-to-grid modes in smart grids. • EV participation for both time- and incentive-based DR programs are modelled. • We consider uncertainties in renewables, load, parking, and transmission lines. • Model case studies are demonstrated in residential, commercial, and industrial areas.

Transactive Demand Side Management Programs in Smart Grids with High Penetration of EVs

Directory of Open Access Journals (Sweden)

Poria Hasanpor Divshali

2017-10-01

Full Text Available Due to environmental concerns, economic issues, and emerging new loads, such as electrical vehicles (EVs, the importance of demand side management (DSM programs has increased in recent years. DSM programs using a dynamic real-time pricing (RTP method can help to adaptively control the electricity consumption. However, the existing RTP methods, particularly when they consider the EVs and the power system constraints, have many limitations, such as computational complexity and the need for centralized control. Therefore, a new transactive DSM program is proposed in this paper using an imperfect competition model with high EV penetration levels. In particular, a heuristic two-stage iterative method, considering the influence of decisions made independently by customers to minimize their own costs, is developed to find the market equilibrium quickly in a distributed manner. Simulations in the IEEE 37-bus system with 1141 customers and 670 EVs are performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can better manage the EVs and elastic appliances than the existing methods in terms of power constraints and cost. Also, the proposed method can solve the optimization problem quick enough to run in real-time.

The impact of predicted demand on energy production

Science.gov (United States)

El kafazi, I.; Bannari, R.; Aboutafail, My. O.

2018-05-01

Energy is crucial for human life, a secure and accessible supply of power is essential for the sustainability of societies. Economic development and demographic progression increase energy demand, prompting countries to conduct research and studies on energy demand and production. Although, increasing in energy demand in the future requires a correct determination of the amount of energy supplied. Our article studies the impact of demand on energy production to find the relationship between the two latter and managing properly the production between the different energy sources. Historical data of demand and energy production since 2000 are used. The data are processed by the regression model to study the impact of demand on production. The obtained results indicate that demand has a positive and significant impact on production (high impact). Production is also increasing but at a slower pace. In this work, Morocco is considered as a case study.

Why strategic pricing is the most powerful DSM [demand-side management] tool

International Nuclear Information System (INIS)

LeBlanc, W.

1990-01-01

Strategic pricing has long been under-utilized as a strategic tool by the electric utility industry. Ways by which utility, customer and regulatory interests can and should overlap with reference to strategic planning, and how the electric industry could enhance its ability to continue providing premier energy services to its customers and society are examined. Strategic pricing in the airline, banking, automobile and telephone industries are examined and compared. Strategic pricing can help utilities segment markets to improve service value, define products, create customer incentives to purchase/consume desirable goods and services, and signal competitors. Each of these benefits is illustrated with an example that closely integrates strategic pricing with demand-side management. Pricing strategically takes many steps, but can be broken down into: meet common challenges of business and marketing objectives; gain regulatory acceptance; and energize the organization to accept, adopt and implement strategic pricing

A Smart Grid Framework for Optimally Integrating Supply-Side, Demand-Side and Transmission Line Management Systems

Directory of Open Access Journals (Sweden)

Chukwuka Monyei

2018-04-01

Full Text Available A coordinated centralized energy management system (ConCEMS is presented in this paper that seeks to integrate for optimal grid operation—the supply side energy management system (SSEMS, home energy management system (HEMS and transmission line management system (TLMS. ConCEMS in ensuring the optimal operation of an IEEE 30-bus electricity network harmonizes the individual objective function of SSEMS, HEMS and TLMS to evolve an optimal dispatch of participating demand response (DR loads that does not violate transmission line ampacity limits (TLMS constraint while minimizing consumer cost (HEMS constraint and supply side operations cost (SSEMS constraint. An externally constrained genetic algorithm (ExC-GA that is influenced by feedback from TLMS is also presented that intelligently varies the dispatch time of participating DR loads to meet the individual objective functions. Hypothetical day ahead dynamic pricing schemes (Price1, Price2 and Price3 have also been adopted alongside an existing time of use (Price0 pricing scheme for comparison and discussion while a dynamic thermal line rating (DTLR algorithm has also been incorporated to dynamically compute power limits based on real time associated data.

In demand

Energy Technology Data Exchange (ETDEWEB)

Coleman, B. [Bridgestone Ltd. (United Kingdom)

2005-11-01

The paper explains how good relationships can help alleviate potential tyre shortages. Demand for large dump truck tyres (largely for China) has increased by 50% within 12 months. Bridgestone's manufacturing plants are operating at maximum capacity. The company supplies tyres to all vehicles at Scottish Coal's opencast coal mines. Its Tyre Management System (TMS) supplied free of charge to customers helps maximise tyre life and minimise downtime from data on pressure, tread and general conditions fed into the hand-held TMS computer. 3 photos.

Conceptual Framework and Computational Research of Hierarchical Residential Household Water Demand

Directory of Open Access Journals (Sweden)

Baodeng Hou

2018-05-01

Full Text Available Although the quantity of household water consumption does not account for a huge proportion of the total water consumption amidst socioeconomic development, there has been a steadily increasing trend due to population growth and improved urbanization standards. As such, mastering the mechanisms of household water demand, scientifically predicting trends of household water demand, and implementing reasonable control measures are key focuses of current urban water management. Based on the categorization and characteristic analysis of household water, this paper used Maslow’s Hierarchy of Needs to establish a level and grade theory of household water demand, whereby household water is classified into three levels (rigid water demand, flexible water demand, and luxury water demand and three grades (basic water demand, reasonable water demand, and representational water demand. An in-depth analysis was then carried out on the factors that influence the computation of household water demand, whereby equations for different household water categories were established, and computations for different levels of household water were proposed. Finally, observational experiments on household water consumption were designed, and observation and simulation computations were performed on three typical households in order to verify the scientific outcome and rationality of the computation of household water demand. The research findings contribute to the enhancement and development of prediction theories on water demand, and they are of high theoretical and realistic significance in terms of scientifically predicting future household water demand and fine-tuning the management of urban water resources.

An Overview of Demand Side Management Control Schemes for Buildings in Smart Grids

DEFF Research Database (Denmark)

Kosek, Anna Magdalena; Costanzo, Giuseppe Tommaso; Bindner, Henrik W.

2013-01-01

The increasing share of distributed energy resources and renewable energy in power systems results in a highly variable and less controllable energy production. Therefore, in order to ensure stability and to reduce the infrastructure and operation cost of the power grid, flexible and controllable...... of the power sector in mind and thus can differ significantly in their architecture, their integration into the various markets, their integration into distribution network operation and several other aspects. This paper proposes a classification of load control policies for demand side management in smart...... buildings, based on external behavior: direct, indirect, transactional and autonomous control; internal operation: decision support system scope, control strategy, failure handling and architecture. This classification assists in providing an overview of the control schemes as well as different ways...

Integrated Modeling of Crop Growth and Water Resource Management to Project Climate Change Impacts on Crop Production and Irrigation Water Supply and Demand in African Nations

Science.gov (United States)

Dale, A. L.; Boehlert, B.; Reisenauer, M.; Strzepek, K. M.; Solomon, S.

2017-12-01

Climate change poses substantial risks to African agriculture. These risks are exacerbated by concurrent risks to water resources, with water demand for irrigation comprising 80 to 90% of water withdrawals across the continent. Process-based crop growth models are able to estimate both crop demand for irrigation water and crop yields, and are therefore well-suited to analyses of climate change impacts at the food-water nexus. Unfortunately, impact assessments based on these models generally focus on either yields or water demand, rarely both. For this work, we coupled a crop model to a water resource management model in order to predict national trends in the impact of climate change on crop production, irrigation water demand, and the availability of water for irrigation across Africa. The crop model FAO AquaCrop-OS was run at 2ox2o resolution for 17 different climate futures from the CMIP5 archive, nine for Representative Concentration Pathway (RCP) 4.5 and eight for RCP8.5. Percent changes in annual rainfed and irrigated crop production and temporal shifts in monthly irrigation water demand were estimated for the years 2030, 2050, 2070, and 2090 for maize, sorghum, rice, wheat, cotton, sugarcane, fruits & vegetables, roots & tubers, and legumes & soybeans. AquaCrop was then coupled to a water management model (WEAP) in order to project changes in the ability of seven major river basins (the Congo, Niger, Nile, Senegal, Upper Orange, Volta, and Zambezi) to meet irrigation water demand out to 2050 in both average and dry years in the face of both climate change and irrigation expansion. Spatial and temporal trends were identified and interpreted through the lens of potential risk management strategies. Uncertainty in model estimates is reported and discussed.

Smart Buildings and Demand Response

Science.gov (United States)

Kiliccote, Sila; Piette, Mary Ann; Ghatikar, Girish

2011-11-01

Advances in communications and control technology, the strengthening of the Internet, and the growing appreciation of the urgency to reduce demand side energy use are motivating the development of improvements in both energy efficiency and demand response (DR) systems in buildings. This paper provides a framework linking continuous energy management and continuous communications for automated demand response (Auto-DR) in various times scales. We provide a set of concepts for monitoring and controls linked to standards and procedures such as Open Automation Demand Response Communication Standards (OpenADR). Basic building energy science and control issues in this approach begin with key building components, systems, end-uses and whole building energy performance metrics. The paper presents a framework about when energy is used, levels of services by energy using systems, granularity of control, and speed of telemetry. DR, when defined as a discrete event, requires a different set of building service levels than daily operations. We provide examples of lessons from DR case studies and links to energy efficiency.

Impact of plug-in hybrid electric vehicles charging demand on the optimal energy management of renewable micro-grids

International Nuclear Information System (INIS)

Kavousi-Fard, Abdollah; Abunasri, Alireza; Zare, Alireza; Hoseinzadeh, Rasool

2014-01-01

This paper suggests a new stochastic expert framework to investigate the charging effect of plug-in hybrid electric vehicles (PHEVs) on the optimal operation and management of micro-grids (MGs). In this way, a useful method based on smart charging approach is proposed to consider the charging demand of PHEVs in both residential location and public charging stations. The analysis is simulated for 24 h considering the uncertainties associated with the forecast error in the charging demand of PHEVs, hourly load consumption, hourly energy price and Renewable Energy Sources (RESs) output power. In order to see the effect of storage devices on the operation of the MG, NiMH-Battery is also incorporated in the MG. According to the high complexity of the problem, a new optimization method called θ-krill herd (θ-KH) algorithm is proposed which uses the phase angle vectors to update the velocity/position of krill animals with faster and more stable convergence. In addition, a new modification method is proposed to improve the search ability of the algorithm, effectively. The suggested problem is examined on an MG including different RESs such as photovoltaic (PV), fuel cells (FCs), wind turbine (WT), micro turbine (MT) and battery as the storage device. - Highlights: • Introducing an expert stochastic framework for optimal operation and management of MGs including PHEVs. • Introducing a new artificial optimization algorithm based on KH evolutionary technique. • Introducing a new version of KH algorithm called θ-KH for the optimization applications. • Modeling the uncertainty of forecast error in Wind turbine, Photovoltaics, market price, load data, PHEVs electric charging demand in an intelligent framework

Intrinsic motivation and organizational identification among on-demand workers.

Science.gov (United States)

Rockmann, Kevin W; Ballinger, Gary A

2017-09-01

On-demand firms provide services for clients through a network of on-demand workers ready to complete specific tasks for a set contractual price. Given such on-demand work is defined by payment on short-term contracts with no obligation for continued employment, there is little reason to believe on-demand workers experience more than extrinsic motivation and a transactional relationship with the on-demand firm. However, using self-determination theory, we argue that to the degree that on-demand work fulfills innate psychological needs individual on-demand workers will develop intrinsic motivation, which further leads to organizational identification with the on-demand firm. Across 2 survey-based studies we find support for this path to organizational identification. This adds to the literature on motivation and identification by strengthening the link between individual needs and the individual-organizational relationship. Implications for theory and for the management of on-demand workers are discussed. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Demand-side management project for Tenaga Nasional Berhad. Progress report No. 3. Volume 2. Export trade information

Energy Technology Data Exchange (ETDEWEB)

NONE

1993-09-01

The objective of this work is identify and encompass those utility demand-side management (DSM) activities that influence customer electricity use to produce customer savings while favorably modifying the utility load. These activities can help utilities operate more efficiently and effectively in uncertain and competitive business environments. This work authorization will initiate the following: Provide descriptive information on the operating characteristics, applicability, specifications, costs, and benefits of DSM/end-use technologies; Characterize the marketing methods used to encourage customer acceptance of these technologies.

WISDOM: A GIS-based supply demand mapping tool for woodfuel management

International Nuclear Information System (INIS)

Masera, Omar; Ghilardi, Adrian; Drigo, Rudi; Angel Trossero, Miguel

2006-01-01

In this paper, it is argued that adequately assessing the implications of the current patterns of woodfuel production and use, and the sustainable potentials of woodfuel resources, requires a holistic view and a better knowledge of the spatial patterns of woodfuel supply and demand. There is a need to conduct multi-scale spatially explicit analyses of woodfuel supply and demand that are able to articulate local heterogeneity at the regional and national levels. Studies that provide full-country coverage and are based on consistent integration of data at lower geographical scales are woefully lacking. This paper describes the Woodfuel Integrated Supply/Demand Overview Mapping model (WISDOM). This is a GIS-based tool, aimed at analyzing woodfuel demand and supply spatial patterns from a new perspective that includes: (a) the assembling of existing but dispersed information into single data sets, (b) a modular integration of these data sets, based on the analysis of key variables associated with woodfuel demand and supply patterns, and (c) a multiple-scale and spatially explicit representation of the results, in order to rank or highlight areas in which several criteria of interest coincide. The final objective of WISDOM is to assess the sustainability of woodfuel as a renewable and widespread energy source, while supporting strategic planning and policy formulation. Three case studies for Mexico, Slovenia, and Senegal illustrate the practical implementation and innovative results of using WISDOM. (author)

Probabilistic Predictions of Traffic Demand for En Route Sectors Based on Individual Flight Data

Science.gov (United States)

2010-01-01

The Traffic Flow Management System (TFMS) predicts the demand for each sector, and traffic managers use these predictions to spot possible congestion and to take measures to prevent it. These predictions of sector demand, however, are currently made ...

Reduction of peak energy demand based on smart appliances energy consumption adjustment

Science.gov (United States)

Powroźnik, P.; Szulim, R.

2017-08-01

In the paper the concept of elastic model of energy management for smart grid and micro smart grid is presented. For the proposed model a method for reducing peak demand in micro smart grid has been defined. The idea of peak demand reduction in elastic model of energy management is to introduce a balance between demand and supply of current power for the given Micro Smart Grid in the given moment. The results of the simulations studies were presented. They were carried out on real household data available on UCI Machine Learning Repository. The results may have practical application in the smart grid networks, where there is a need for smart appliances energy consumption adjustment. The article presents a proposal to implement the elastic model of energy management as the cloud computing solution. This approach of peak demand reduction might have application particularly in a large smart grid.

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.

Managing the demands of the preregistration mental health nursing programme: The views of students with mental health conditions.

Science.gov (United States)

Ramluggun, Pras; Lacy, Mary; Cadle, Martha; Anjoyeb, Mahmood

2018-05-30

An increasing number of students with a pre-existing mental health condition are enrolling on preregistration mental health nursing programmes. The challenges faced by these students in managing the demands of the programme have not been fully explored. Mental health and well-being is an integral part of providing a healthy university in which students can flourish. The purpose of the study was to explore how students with an underlying mental health issue manage the demands of the mental health nursing programme. The outcomes of the study are aimed at informing inclusive teaching and learning and current student support provision. Ethics approval was given. Students from two universities in South East England who met the criterion of having a pre-existing mental health condition when enrolling on the mental health preregistration nursing programme were invited to take part. Nine students took part in the study. Using an interpretative descriptive design, 1:1 face-to-face, audio-taped, semistructured interviews were undertaken. The data were analysed using a framework approach, and this revealed four main themes: timing of disclosure; managing lived experience in learning environments; students' coping mechanisms, and experience of support. Recommendations for practice was that approved education institutes (AEIs) should ensure they have a robust, inclusive practice by implementing strategies to develop these students' resilience, and enhance their learning and the current support provisions. This will ensure the barriers to disclosing their mental health conditions are recognized and minimized to enable these students to fully contribute to their own learning and teaching experience. © 2018 Australian College of Mental Health Nurses Inc.

ICT Solutions for Highly-Customized Water Demand Management Strategies

Science.gov (United States)

Giuliani, M.; Cominola, A.; Castelletti, A.; Fraternali, P.; Guardiola, J.; Barba, J.; Pulido-Velazquez, M.; Rizzoli, A. E.

2016-12-01

The recent deployment of smart metering networks is opening new opportunities for advancing the design of residential water demand management strategies (WDMS) relying on improved understanding of water consumers' behaviors. Recent applications showed that retrieving information on users' consumption behaviors, along with their explanatory and/or causal factors, is key to spot potential areas where targeting water saving efforts, and to design user-tailored WDMS. In this study, we explore the potential of ICT-based solutions in supporting the design and implementation of highly customized WDMS. On one side, the collection of consumption data at high spatial and temporal resolutions requires big data analytics and machine learning techniques to extract typical consumption features from the metered population of water users. On the other side, ICT solutions and gamifications can be used as effective means for facilitating both users' engagement and the collection of socio-psychographic users' information. This latter allows interpreting and improving the extracted profiles, ultimately supporting the customization of WDMS, such as awareness campaigns or personalized recommendations. Our approach is implemented in the SmartH2O platform and demonstrated in a pilot application in Valencia, Spain. Results show how the analysis of the smart metered consumption data, combined with the information retrieved from an ICT gamified web user portal, successfully identify the typical consumption profiles of the metered users and supports the design of alternative WDMS targeting the different users' profiles.

Electricity deregulation, spot price patterns and demand-side management

International Nuclear Information System (INIS)

Li, Y.; Flynn, P.C.

2006-01-01

This paper examines extensive hourly or half-hourly power price data from 14 deregulated power markets. It analyzes average diurnal patterns, relationship to system load, volatility, and consistency over time. Diurnal patterns indicate the average price spread between off-peak and on-peak and weekend vs. weekday power consumption. Volatility is measured by price velocity: the average normalized hourly change in power price, calculated daily. The calculated price velocity is broken down into an expected component that arises from the diurnal pattern and an unexpected component that arises from unknown factors. The analysis reveals significant differences among markets, suggesting that demand-side management (DSM) of power consumption is far more difficult in some markets than in others. At one extreme, Spain, Britain and Scandinavia show consistent diurnal price patterns, a stable relationship between price and system load, and a low unexplained component of price volatility. A power consumer in these markets could form a reasonable expectation of a reward for DSM of elective power consumption. At the other extreme, two markets in Australia show erratic diurnal price patterns from year to year, low correlation between price and system load, and a high amount of unexpected price velocity. A power consumer in these markets would have far greater difficulty in realizing a benefit from DSM. Markets that experienced one period of very high prices without a clear external cause, such as California and Alberta, appear to have a significant longer-term erosion of public support for deregulation. (author)

Job demands, resources and mental health in UK prison officers.

Science.gov (United States)

Kinman, G; Clements, A J; Hart, J

2017-08-01

Research findings indicate that working as a prison officer can be highly stressful, but the aspects of work that predict their mental health status are largely unknown. To examine, using elements of the demands-resources model, the extent to which work pressure and several potential resources (i.e. control, support from managers and co-workers, role clarity, effective working relationships and positive change management) predict mental health in a sample of UK prison officers. The Health and Safety Executive Management Standards Indicator Tool was used to measure job demands and resources. Mental health was assessed by the General Health Questionnaire-28. The effects of demands and resources on mental health were examined via linear regression analysis with GHQ score as the outcome. The study sample comprised 1267 prison officers (86% male). Seventy-four per cent met 'caseness' criteria for mental health problems. Job demands, poor interpersonal relationships, role ambiguity and, to a lesser extent, low job control and poor management of change were key predictors of mental health status. The findings of this study can help occupational health practitioners and psychologists develop structured interventions to improve well-being among prison officers. © The Author 2017. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Demand-based provision of housing, welfare and care services to elderly clients: from policy to daily practice through operations management.

Science.gov (United States)

de Blok, Carolien; Meijboom, Bert; Luijkx, Katrien; Schols, Jos

2009-03-01

Practical implementation of notions such as patient-orientation, client-centredness, and demand-driven care is far from straightforward in care and service supply to elderly clients living independently. This paper aims to provide preliminary insights into how it is possible to bridge the gap between policy intent, which reflects an increasing client orientation, and actual practice of care and service provision. Differences in personal objectives and characteristics generate different sets of needs among elderly clients that must have an appropriate response in the daily routines of care and service providers. From a study of the available literature and by conceptual reasoning, we identify several important operational implications of client-oriented care and service provision. To deal with these implications the authors turn to the field of operations management. This field has deepened the understanding of translating an organisation's policy into daily activities and working methods. More specifically, we elaborate on the concept of modularity, which stems from the field of operations management. With respect to elderly people who live independently, this concept, among others, seems to be particularly useful in providing options and variation in individual care and service packages. Based on our line of reasoning, we propose that modularity provides possibilities to enhance the provision of demand-based care and services. Furthermore, our findings offer direction on how organisations in housing, welfare and care can be guided in translating demand-based care to their operational processes.

The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory

DEFF Research Database (Denmark)

Govindan, Kannan

2015-01-01

A Vendor Managed Inventory (VMI) partnership places the responsibility on the vendor (rather than on buyers) to schedule purchase orders for inventory replenishment in the supply chain system. In this research, the supply chain network considers the Silver-Meal heuristic with an augmentation...... quantity replenishment policy between both traditional and VMI systems. We consider time-varying stochastic demand in two-echelon (one vendor, multiple retailers) supply chains. This paper seeks to find the supply chain that minimizes system cost through comparing performance between traditional and VMI...... systems. A mathematical model is developed, and total supply chain cost is used as the measure of comparison. The models are applied in both traditional and VMI supply chains based on pharmaceutical industry data, and we focus on total cost difference compared through the use of Adjusted Silver-Meal (ASM...

Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations

Directory of Open Access Journals (Sweden)

Nadeem Javaid

2017-08-01

Full Text Available Today’s buildings are responsible for about 40% of total energy consumption and 30–40% of carbon emissions, which are key concerns for the sustainable development of any society. The excessive usage of grid energy raises sustainability issues in the face of global changes, such as climate change, population, economic growths, etc. Traditionally, the power systems that deliver this commodity are fuel operated and lead towards high carbon emissions and global warming. To overcome these issues, the recent concept of the nearly zero energy building (nZEB has attracted numerous researchers and industry for the construction and management of the new generation buildings. In this regard, this paper proposes various demand side management (DSM programs using the genetic algorithm (GA, teaching learning-based optimization (TLBO, the enhanced differential evolution (EDE algorithm and the proposed enhanced differential teaching learning algorithm (EDTLA to manage energy and comfort, while taking the human preferences into consideration. Power consumption patterns of shiftable home appliances are modified in response to the real-time price signal in order to get monetary benefits. To further improve the cost and user discomfort objectives along with reduced carbon emission, renewable energy sources (RESs are also integrated into the microgrid (MG. The proposed model is implemented in a smart residential complex of multiple homes under a real-time pricing environment. We figure out two feasible regions: one for electricity cost and the other for user discomfort. The proposed model aims to deal with the stochastic nature of RESs while introducing the battery storage system (BSS. The main objectives of this paper include: (1 integration of RESs; (2 minimization of the electricity bill (cost and discomfort; and (3 minimizing the peak to average ratio (PAR and carbon emission. Additionally, we also analyze the tradeoff between two conflicting objectives

Application of battery-based storage systems in household-demand smoothening in electricity-distribution grids

International Nuclear Information System (INIS)

Purvins, Arturs; Papaioannou, Ioulia T.; Debarberis, Luigi

2013-01-01

Highlights: ► Battery system application in demand smoothening in distribution grids is analysed. ► Five European countries are studied with and without high photovoltaic deployment. ► A sensitivity analysis for different battery system parameters is performed. ► A simple battery system management is sufficient for low demand smoothening. ► More elaborate management is required for high demand smoothening. - Abstract: This article analyses in technical terms the application of battery-based storage systems for household-demand smoothening in electricity-distribution grids. The analysis includes case studies of Denmark, Portugal, Greece, France and Italy. A high penetration of photovoltaic systems in distribution grids is considered as an additional scenario. A sensitivity analysis is performed in order to examine the smoothening effect of daily demand profiles for different configurations of the battery system. In general, battery-storage systems with low rated power and low battery capacity can smooth the demand sufficiently with the aid of a simple management process. For example, with 1 kW of peak demand, a 30–45% decrease in the variability of the daily demand profile can be achieved with a battery system of 0.1 kW rated power and up to 0.6 kW h battery capacity. However, further smoothening requires higher battery-system capacity and power. In this case, more elaborate management is also needed to use the battery system efficiently.

Travel demand management : a toolbox of strategies to reduce single\\0x2010occupant vehicle trips and increase alternate mode usage in Arizona.

Science.gov (United States)

2012-02-01

The report provides a suite of recommended strategies to reduce single-occupant vehicle traffic in the urban : areas of Phoenix and Tucson, Arizona, which are presented as a travel demand management toolbox. The : toolbox includes supporting research...

Smart grids and power systems efficiency: regulatory tools and demand-side management impacts

International Nuclear Information System (INIS)

Bergaentzle, Claire

2015-01-01

The physical architecture of electricity grids and the organizational structure of power systems implemented after the reforms have traditionally be achieved according to the characteristics of the transmission infrastructures and power mixes. However, the new challenges related to energy transition favor a greater participation of decentralized generation and final consumers to system exploitation and competitive markets. This latter participation is made possible thanks to recent innovations in the fields of communication and remote control technologies. Significant evolutions are expected in power industries that share common characteristics. First, these evolutions suppose massive capital investments to modernize and adapt current power distribution grids. Second, it is expected the activation of distribution grids and final consumers will unleash substantial unexploited economic efficiency gains as well as impose new constraints. Taking these simple facts as a starting point, the objective of the thesis is twofold. In the first place, we provide a theoretical analysis of the regulatory instruments that monitor the system operators' expenses. Relying on the literature, we aim at characterizing what regulatory tools and incitation are suitable for investing in smart grids technologies. Since it is necessary to compare theoretical formulation to facts, we use an empirical approach that allows us to designate key benefits pursued by the development of smart grids and to compare our theoretical results with practical regulatory applications. Our findings eventually allow us to formulate recommendations. In the second place, the thesis focuses on the impacts of demand-side management during peak periods. We structure our approach around two general observations. Large benefits should be generated in lowering substantially peak demand. However, such situation also creates losses of profit for generators. We provide an estimation of efficiency gains and revenue losses

Demand management: an audit of chemical pathology test rejections by an electronic gate-keeping system at an academic hospital in Cape Town.

Science.gov (United States)

Smit, Ida; Zemlin, Annalise E; Erasmus, Rajiv T

2015-07-01

Demand management is an area of laboratory activity, which is becoming increasingly important. Within the health-care system, demand management can be defined as the use of health resources to maximise its utility. Tygerberg Hospital has introduced an electronic gate-keeping system. Chemistry tests which generate the highest cost are subjected to this system and may be automatically rejected according to a set of rules. This study aimed: (1) to identify the number of chemistry tests rejected by the eGK; (2) to identify which of these rejected tests were subsequently restored and (3) to assess the impact of rejections on clinical outcome and cost-saving. A retrospective audit was conducted to determine the number of chemistry tests rejected and subsequently restored over a 6-month period. The case-notes of patients for whom requested tests previously rejected had been restored were randomly selected and investigated to assess clinical impact. Any cost-saving was calculated. A total of 68,480 tests were subjected to gate-keeping, and 4605 tests (6.7%) were rejected while 679 (14.7%) of these were restored by the requestor phoning the laboratory after obtaining authorisation. After examining a subset of clinical notes it was found that in most cases (80%), patient care was unaffected. The total cost saved was £ 25,387. The majority of the rejected tests were unnecessary and following rejection, real savings were made. Electronic gate-keeping is a simple, effective and sustainable method of demand management. © The Author(s) 2015 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.

Design of a surface plasmon resonance immunoassay for therapeutic drug monitoring of amikacin.

Science.gov (United States)

Losoya-Leal, Adrian; Estevez, M-Carmen; Martínez-Chapa, Sergio O; Lechuga, Laura M

2015-08-15

The therapeutic drug monitoring (TDM) of pharmaceutical drugs with narrow therapeutic ranges is of great importance in the clinical setting. It provides useful information towards the enhancement of drug therapies, aiding in dosage control and toxicity risk management. Amikacin is an aminoglycoside antibiotic commonly used in neonatal therapies that is indicated for TDM due to the toxicity risks inherent in its use. Current techniques for TDM such as high performance liquid chromatography (HPLC) and gas chromatography-mass spectrometry (GC-MS) are costly, time consuming, and cannot be performed at the site of action. Over the last decades, surface plasmon resonance (SPR) biosensors have become increasingly popular in clinical diagnostics due to their ability to detect biomolecular interactions in real-time. We present an SPR-based competitive immunoassay for the detection of the antibiotic amikacin, suitable for TDM in both adults and neonates. We have obtained high specificity and sensitivity levels with an IC50 value of 1.4ng/mL and a limit of detection of 0.13ng/mL, which comfortably comply with the drug's therapeutic range. Simple dilution of serum can therefore be sufficient to analyze low-volume real samples from neonates, increasing the potential of the methodology for TDM. Compared to current TDM conventional methods, this SPR-based immunoassay can provide advantages such as simplicity, potential portability, and label-free measurements with the possibility of high throughput. This work is the foundation towards the development of an integrated, simple use, highly sensitive, fast, and point-of-care sensing platform for the opportune TDM of antibiotics and other drugs in a clinical setting. Copyright © 2015 Elsevier B.V. All rights reserved.

Peak electricity demand and social practice theories: Reframing the role of change agents in the energy sector

International Nuclear Information System (INIS)

Strengers, Yolande

2012-01-01

Demand managers currently draw on a limited range of psychology and economic theories in order to shift and shed peak electricity demand. These theories place individual consumers and their attitudes, behaviours and choices at the centre of the problem. This paper reframes the issue of peak electricity demand using theories of social practices, contending that the ‘problem’ is one of transforming, technologically-mediated social practices. It reflects on how this body of theory repositions and refocuses the roles and practices of professions charged with the responsibility and agency for affecting and managing energy demand. The paper identifies three areas where demand managers could refocus their attention: (i) enabling co-management relationships with consumers; (ii) working beyond their siloed roles with a broader range of human and non-human actors; and (iii) promoting new practice ‘needs’ and expectations. It concludes by critically reflecting on the limited agency attributed to ‘change agents’ such as demand managers in dominant understandings of change. Instead, the paper proposes the need to identify and establish a new group of change agents who are actively but often unwittingly involved in reconfiguring the elements of problematic peaky practices. - Highlights: ► I reframe peak electricity demand as a problem of changing social practices. ► Micro-grids, and dynamic pricing reorient household routines and enable co-management. ► Infrastructures inside and outside the home configure peaky practices. ► Demand managers are encouraged to promote and challenge consumer ‘needs’. ► I identify a new group of change agents implicated in peaky practices.

Management demands on information and communication technology in process-oriented health-care organizations: the importance of understanding managers' expectations during early phases of systems design.

Science.gov (United States)

Andersson, Anna; Vimarlund, Vivian; Timpka, Toomas

2002-01-01

There are numerous challenges to overcome before information and communication technology (ICT) can achieve its full potential in process-oriented health-care organizations. One of these challenges is designing systems that meet users' needs, while reflecting a continuously changing organizational environment. Another challenge is to develop ICT that supports both the internal and the external stakeholders' demands. In this study a qualitative research strategy was used to explore the demands on ICT expressed by managers from functional and process units at a community hospitaL The results reveal a multitude of partially competing goals that can make the ICT development process confusing, poor in quality, inefficient and unnecessarily costly. Therefore, from the perspective of ICT development, the main task appears to be to coordinate the different visions and in particular clarify them, as well as to establish the impact that these visions would have on the forthcoming ICT application.

DataBase on Demand

International Nuclear Information System (INIS)

Aparicio, R Gaspar; Gomez, D; Wojcik, D; Coz, I Coterillo

2012-01-01

At CERN a number of key database applications are running on user-managed MySQL database services. The database on demand project was born out of an idea to provide the CERN user community with an environment to develop and run database services outside of the actual centralised Oracle based database services. The Database on Demand (DBoD) empowers the user to perform certain actions that had been traditionally done by database administrators, DBA's, providing an enterprise platform for database applications. It also allows the CERN user community to run different database engines, e.g. presently open community version of MySQL and single instance Oracle database server. This article describes a technology approach to face this challenge, a service level agreement, the SLA that the project provides, and an evolution of possible scenarios.

Measuring and controlling unfairness in decentralized planning of energy demand

NARCIS (Netherlands)

Pournaras, E.; Vasirani, M.; Kooij, R.E.; Aberer, K.

2014-01-01

Demand-side energy management improves robustness and efficiency in Smart Grids. Load-adjustment and load-shifting are performed to match demand to available supply. These operations come at a discomfort cost for consumers as their lifestyle is influenced when they adjust or shift in time their

Domestic demand-side management (DSM): Role of heat pumps and thermal energy storage (TES) systems

International Nuclear Information System (INIS)

Arteconi, A.; Hewitt, N.J.; Polonara, F.

2013-01-01

Heat pumps are seen as a promising technology for load management in the built environment, in combination with the smart grid concept. They can be coupled with thermal energy storage (TES) systems to shift electrical loads from high-peak to off-peak hours, thus serving as a powerful tool in demand-side management (DSM). This paper analyzes heat pumps with radiators or underfloor heating distribution systems coupled with TES with a view to showing how a heat pump system behaves and how it influences the building occupants' thermal comfort under a DSM strategy designed to flatten the shape of the electricity load curve by switching off the heat pump during peak hours (16:00–19:00). The reference scenario for the analysis was Northern Ireland (UK). The results showed that the heat pump is a good tool for the purposes of DSM, also thanks to the use of TES systems, in particular with heating distribution systems that have a low thermal inertia, e.g. radiators. It proved possible to achieve a good control of the indoor temperature, even if the heat pump was turned off for 3 h, and to reduce the electricity bill if a “time of use” tariff structure was adopted. -- Highlights: ► Heat pump heating systems with thermal energy storage are considered. ► System behavior is investigated during a DSM strategy for reducing peak energy demand. ► Heat pump heating systems demonstrate to be able to have an active role in DSM programs. ► A TES system must be coupled with the heat pump in presence of low thermal inertia heating distribution systems. ► Central role played by incentives schemes to promote this technology

Decentralized planning of energy demand for the management of robustness and discomfort

NARCIS (Netherlands)

Pournaras, E.; Vasirani, M.; Kooij, R.E.; Aberer, K.

2014-01-01

The robustness of smart grids is challenged by unpredictable power peaks or temporal demand oscillations that can cause blackouts and increase supply costs. Planning of demand can mitigate these effects and increase robustness. However, the impact on consumers in regards to the discomfort they

Exploring Tradeoffs in Demand-Side and Supply-Side Management of Urban Water Resources Using Agent-Based Modeling and Evolutionary Computation

Directory of Open Access Journals (Sweden)

Lufthansa Kanta

2015-11-01

Full Text Available Urban water supply systems may be managed through supply-side and demand-side strategies, which focus on water source expansion and demand reductions, respectively. Supply-side strategies bear infrastructure and energy costs, while demand-side strategies bear costs of implementation and inconvenience to consumers. To evaluate the performance of demand-side strategies, the participation and water use adaptations of consumers should be simulated. In this study, a Complex Adaptive Systems (CAS framework is developed to simulate consumer agents that change their consumption to affect the withdrawal from the water supply system, which, in turn influences operational policies and long-term resource planning. Agent-based models are encoded to represent consumers and a policy maker agent and are coupled with water resources system simulation models. The CAS framework is coupled with an evolutionary computation-based multi-objective methodology to explore tradeoffs in cost, inconvenience to consumers, and environmental impacts for both supply-side and demand-side strategies. Decisions are identified to specify storage levels in a reservoir that trigger: (1 increases in the volume of water pumped through inter-basin transfers from an external reservoir; and (2 drought stages, which restrict the volume of water that is allowed for residential outdoor uses. The proposed methodology is demonstrated for Arlington, Texas, water supply system to identify non-dominated strategies for an historic drought decade. Results demonstrate that pumping costs associated with maximizing environmental reliability exceed pumping costs associated with minimizing restrictions on consumer water use.

An EPQ Model with Increasing Demand and Demand Dependent Production Rate under Trade Credit Financing

Directory of Open Access Journals (Sweden)

Juanjuan QIN

2015-05-01

Full Text Available This paper investigates an EPQ model with the increasing demand and demand dependent production rate involving the trade credit financing policy, which is seldom reported in the literatures. The model considers the manufacturer was offered by the supplier a delayed payment time. It is assumed that the demand is a linear increasing function of the time and the production rate is proportional to the demand. That is, the production rate is also a linear function of time. This study attempts to offer a best policy for the replenishment cycle and the order quantity for the manufacturer to maximum its profit per cycle. First, the inventory model is developed under the above situation. Second, some useful theoretical results have been derived to characterize the optimal solutions for the inventory system. The Algorithm is proposed to obtain the optimal solutions of the manufacturer. Finally, the numerical examples are carried out to illustrate the theorems, and the sensitivity analysis of the optimal solutions with respect to the parameters of the inventory system is performed. Some important management insights are obtained based on the analysis.

Demand Forecasting in the Fashion Industry: A Review

Directory of Open Access Journals (Sweden)

Maria Elena Nenni

2013-08-01

Full Text Available Forecasting demand is a crucial issue for driving efficient operations management plans. This is especially the case in the fashion industry, where demand uncertainty, lack of historical data and seasonal trends usually coexist. Many approaches to this issue have been proposed in the literature over the past few decades. In this paper, forecasting methods are compared with the aim of linking approaches to the market features.

Evaluation of automated residential demand response with flat and dynamic pricing

International Nuclear Information System (INIS)

Swisher, Joel; Wang, Kitty; Stewart, Stewart

2005-01-01

This paper reviews the performance of two recent automated load management programs for residential customers of electric utilities in two American states. Both pilot programs have been run with about 200 participant houses each, and both programs have control populations of similar customers without the technology or program treatment. In both cases, the technology used in the pilot is GoodWatts, an advanced, two-way, real-time, comprehensive home energy management system. The purpose of each pilot is to determine the household kW reduction in coincident peak electric load from the energy management technology. Nevada Power has conducted a pilot program for Air-Conditioning Load Management (ACLM), in which customers are sent an electronic curtailment signal for three-hour intervals during times of maximum peak demand. The participating customers receive an annual incentive payment, but otherwise they are on a conventional utility tariff. In California, three major utilities are jointly conducting a pilot demonstration of an Automated Demand Response System (ADRS). Customers are on a time-of-use (ToU) tariff, which includes a critical peak pricing (CPP) element. During times of maximum peak demand, customers are sent an electronic price signal that is three times higher than the normal on-peak price. Houses with the automated GoodWatts technology reduced their demand in both the ACLM and the ADRS programs by about 50% consistently across the summer curtailment or super peak events, relative to homes without the technology or any load management program or tariff in place. The absolute savings were greater in the ACLM program, due to the higher baseline air conditioning loads in the hotter Las Vegas climate. The results suggest that either automated technology or dynamic pricing can deliver significant demand response in low-consumption houses. However, for high-consumption houses, automated technology can reduce load by a greater absolute kWh difference. Targeting

Future Capacity Procurements Under Unknown Demand and Increasing Costs

OpenAIRE

Apostolos Burnetas; Stephen Gilbert

2001-01-01

In this paper we study a situation in which a broker must manage the procurement of a short-life-cycle product. As the broker observes demand for the item, she learns about the demand process. However, as is often the case in practice, it becomes either more difficult or more expensive to procure the item as the selling season advances. Thus, the broker must trade off higher procurement costs against the benefit of making ordering decisions with better information about demand. Problems of th...

From demand side management (DSM) to energy efficiency services: A Finnish case study

International Nuclear Information System (INIS)

Apajalahti, Eeva-Lotta; Lovio, Raimo; Heiskanen, Eva

2015-01-01

Energy conservation is expected to contribute significantly to climate change mitigation and energy security. Traditionally, energy companies have had strong role in providing Demand Side Management (DSM) measures. However, after energy market liberalization in Europe, energy companies' DSM activities declined. In response, the EU issued Directive (2006/32/EC) on energy end-use efficiency and energy services (ESD) to motivate energy companies to promote energy efficiency and conservation, closely followed by Directive (2012/27/EU) on energy efficiency (EED), requiring the setting up energy efficiency obligation schemes. Despite strong political and economic motivation, energy companies struggle to develop energy efficiency services in liberalised energy markets due to conflicting institutional demands, which arise from contradicting policy requirements and customer relations. The main challenges in developing new innovative energy efficiency services, evidenced by an in-depth case study, were (1) the unbundling of energy company operations, which makes it difficult to develop services when the contribution of several business units is required and (2) the distrust among energy end-users, which renders the business logic of energy saving contract models self-contradictory. On the basis of the research, avenues out of these dilemmas are suggested. -- Highlights: •Energy companies struggle to become energy service provides •We explore the development of new energy saving business solutions •Dispersed organisational structure leaves energy saving business as isolated function •Strong consumer scepticism towards energy companies as providers of energy saving •More emphasis on the changing company-customer relationship is needed

An Intuitive Definition of Demand Flexibility in Direct Load Control

DEFF Research Database (Denmark)

Tahersima, Fatemeh; Madsen, Per Printz; Andersen, Palle

2013-01-01

Two control approaches: direct and indirect control of demand side energy management in a smart grid are studied. Indirect control of energy demands is based on economic incentives. In this approach, consumers will shift their energy consumption with the benefit of a cut down in the electricity b...

institutions pour la gestion efficace de la demande en eau

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

nkhaled

1 On entend par la gestion de la demande en eau (GDE) « toute mesure ...... Mis à part un faible pourcentage réservé à l'abreuvement du bétail et au traitement de base des ..... demand management », Physics and Chemistry of the Earth, vol.

Power System Transient Stability Improvement Using Demand Side Management in Competitive Electricity Markets

DEFF Research Database (Denmark)

Hu, Weihao; Wang, Chunqi; Chen, Zhe

2012-01-01

Since the hourly spot market price is available one day ahead in Denmark, the price could be transferred to the consumers and they may shift some of their loads from high price periods to the low price periods in order to save their energy costs. The optimal load response to an electricity price...... for demand side management generates different load profiles and may provide an opportunity to improve the transient stability of power systems with high wind power penetrations. In this paper, the idea of the power system transient stability improvement by using optimal load response to the electricity...... price is proposed. A 102-bus power system which represents a simplified model of the western Danish power system is chosen as the study case. Simulation results show that the optimal load response to electricity prices is an effective measure to improve the power system transient stability with high...

Social demand in environment matter and risks management

International Nuclear Information System (INIS)

Pages, J.P.; Marty, D.

1993-01-01

The importance of a pollution or a risk does not come from only technical measures: it is the effect of exchange between economical interests or authority and populations. One risk is a reflection, at a period, of the society in which we live and forces which compose it. So what people ask about pollution, risks, harm, is not only a demand and that is the purpose of this article

Development of reader for the demand data from compound demand meter for power supply/demand (CDM). Development of recommended tools for load leveling in existing works; Denryoku jukyuyo fukugo keiki kara no demand data yomitori sochi no kaihatsu. Kisetsu kojo no fuka heijunka suisho tool no kaihatsu

Energy Technology Data Exchange (ETDEWEB)

Sakamoto, S. [Kansai Electric Power Co. Inc., Osaka (Japan)

1997-10-10

Kansai Electric Power has developed a system which reads the demand data for 30min. stored in the compound demand meter for power supply/demand (CDM), and prints the load curves. It is for customers of high-voltage power of less than 500kW, where load management is less extensive than that in larger users, for initial consulting on improvement of load factor (recommendation of heat storage contracts). It is to be installed on the spot to display the load curves, to allow the expert visiting the site to issue initial proposals immediately. It displays `daily demands by time zone` instead of `monthly power consumption` previously provided, and makes the graph of demands by time zone. It is designed to be compact, light, and easily and safely handled. The field test results indicate that the system can be sufficiently practical with the major performance items. 4 figs., 1 tab.

Atlanta Centennial Olympic Games and Paralympic Games event study, 1996. Final report, July 1996--August 1996

Energy Technology Data Exchange (ETDEWEB)

Amodei, R.; Bard, E.; Brong, B.; Cahoon, F.; Jasper, K.

1998-11-01

The Atlanta metropolitan region was the location of one of the most ambitious Intelligent Transportation Systems (ITS) deployments in the United States. This deployment included several individual projects--a Central Transportation Management Center (TMC), six Traffic Control Centers (TCCs), one Transit Information Center (TIC), The Travel Information Showcase (TIS), and the extension of the Metropolitan Atlanta Rapid Transit Authority (MARTA) Rail network and the new high-occupancy vehicle (HOV) lanes on I-85 and I-75. The 1996 Atlanta Centennial Olympic Games and Paralympic Games created a focus for these projects. All of these systems were to be brought on-line in time for the Olympic Games. This report presents the findings of the 1996 Olympic and Paralympic Games Events Study--a compilation of findings of system performance, the benefits realized, and the lessons learned during their operations over the event period. The study assessed the performance of the various Travel Demand Management (TDM) plans employed for Olympic Games traffic management.

Cost-effectiveness of drug monitoring of anti-TNF therapy in inflammatory bowel disease and rheumatoid arthritis: a systematic review.

Science.gov (United States)

Martelli, Laura; Olivera, Pablo; Roblin, Xavier; Attar, Alain; Peyrin-Biroulet, Laurent

2017-01-01

Therapeutic drug monitoring (TDM) of anti-TNF is increasingly used to manage inflammatory bowel diseases (IBD) and rheumatoid arthritis (RA). The cost-effectiveness of this strategy is debated. All studies comparing the cost-effectiveness of a TDM-based strategy and an empirical dose management of anti-TNF in IBD or RA were screened. Studies were identified through the MEDLINE electronic database (up to July 2016), and annual international meeting abstracts were also manually reviewed. Seven studies were included: two randomized controlled trials (RCTs) enrolling 332 patients [247 Crohn's disease (CD) and 85 ulcerative colitis (UC)] and five modeling approaches. Four studies included only CD patients, one included both CD and UC patients, and two included only RA patients. Three studies compared the cost-effectiveness of the two strategies in patients with secondary infliximab (IFX) failure (dose-escalation strategy), one in patients in remission on optimized IFX (de-escalation strategy), one in patients starting adalimumab, and two in patients with clinical response to maintenance anti-TNF therapy. The two RCTs demonstrated that a TDM strategy led to major cost savings, ranging from 28 to 34 %. The three modeling approaches with regard to CD patients demonstrated cost savings ranging from $5396 over a 1-year period to €13,130 per patient at 5 years of follow-up. A TDM strategy also led to major cost savings in the two modeling approaches in RA patients. Available evidence indicates that a TDM strategy leads to major cost savings related to anti-TNF therapy in both IBD and RA patients, with no negative impact on efficacy.

A Hybrid Genetic Wind Driven Heuristic Optimization Algorithm for Demand Side Management in Smart Grid

Directory of Open Access Journals (Sweden)

Nadeem Javaid

2017-03-01

Full Text Available In recent years, demand side management (DSM techniques have been designed for residential, industrial and commercial sectors. These techniques are very effective in flattening the load profile of customers in grid area networks. In this paper, a heuristic algorithms-based energy management controller is designed for a residential area in a smart grid. In essence, five heuristic algorithms (the genetic algorithm (GA, the binary particle swarm optimization (BPSO algorithm, the bacterial foraging optimization algorithm (BFOA, the wind-driven optimization (WDO algorithm and our proposed hybrid genetic wind-driven (GWD algorithm are evaluated. These algorithms are used for scheduling residential loads between peak hours (PHs and off-peak hours (OPHs in a real-time pricing (RTP environment while maximizing user comfort (UC and minimizing both electricity cost and the peak to average ratio (PAR. Moreover, these algorithms are tested in two scenarios: (i scheduling the load of a single home and (ii scheduling the load of multiple homes. Simulation results show that our proposed hybrid GWD algorithm performs better than the other heuristic algorithms in terms of the selected performance metrics.

Demand response in a market environment

DEFF Research Database (Denmark)

Larsen, Emil Mahler

This thesis addresses the design, deployment and benefits of demand response in a market environment. Demand response is consumption that can be controlled by an external stimulus in the power system. Flexible consumption is a useful tool for absorbing volatile power from renewable sources like...... this simulation, real power system data from the Danish island of Bornholm is introduced and methods to quantify an aggregated load is developed. These methods can be used for real-time operation and to support investment decisions. More specifically, they can be used to forecast the response to electricity...... pricing and to classify different types of customers. The proposed models are then embedded into new fiveminute electricity markets for system balancing and local congestion management. New market tools for exploiting and maintaining a degree of control over demand are developed, and the value of DR using...

An EMD-ANN based prediction methodology for DR driven smart household load demand

NARCIS (Netherlands)

Tascikaraoglu, A.; Paterakis, N.G.; Catalaõ, J.P.S.; Erdinç, O.; Bakirtzis, A.G.

2015-01-01

This study proposes a model for the prediction of smart household load demand influenced by a dynamic pricing demand response (DR) program. Price-based DR programs have a considerable impact on household demand pattern due to the expected choice of customers or their home energy management systems

A simulation-based approach to capturing auto-correlated demand parameter uncertainty in inventory management

NARCIS (Netherlands)

Akçay, A.E.; Biller, B.; Tayur, S.

2012-01-01

We consider a repeated newsvendor setting where the parameters of the demand distribution are unknown, and we study the problem of setting inventory targets using only a limited amount of historical demand data. We assume that the demand process is autocorrelated and represented by an

Demand-side management (DSM) in the context of China's on-going power sector reform