The International Development Research Centre (IDRC) is a public ... Initiated in June 2004, WaDImena promotes effective water governance by enhancing ..... In agriculture, the source of water and the costs of abstraction are key to valuation.
Giulio Querini; Salvo Creaco
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...
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 ...
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 ...
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 ...
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 ...
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.
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.
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.
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 ...
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 ...
Dziegielewski, Benedykt; Baumann, Duane D.
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)
with men, in the design and management of water projects enhances the intended results of projects and contributes to ... the area of domestic water supply and sanitation. There is .... mandate reducing the loss of quantity or quality of water as ...
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.
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 : 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.
Vehmeijer, P.W.; Wolters, W.
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
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.
Cominola, A.; Spang, E. S.; Giuliani, M.; Castelletti, A.; Loge, F. J.; Lund, J. R.
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
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
White, S B; Fane, S A
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.
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 ...
Rivers, R.; Tate, D.
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
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 ...
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 ...
Chaerani, D.; Lesmana, E.; Tressiana, N.
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.
Giuliani, M.; Cominola, A.; Castelletti, A.; Fraternali, P.; Guardiola, J.; Barba, J.; Pulido-Velazquez, M.; Rizzoli, A. E.
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.
Dec 22, 2010 ... ... and management of water projects enhances the intended results of projects and contributes to the sustainability of water resources as well as to social justice. ... Women's rights and access to water and sanitation in Delhi.
... 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, ...
Giuliani, Matteo; Mainardi, Matteo; Castelletti, Andrea; Gandolfi, Claudio
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
Madungwe, Emaculate; Sakuringwa, Saniso
Greywater is wastewater from baths, sinks and washing machines, accounting for about 60% of the outflow from homes. It contains little pathogens and 90% less nitrogen than toilet water, so does not require the same treatment process. With the increasing demand for freshwater, its use may reduce irrigation water needs, increasing its availability of freshwater for other primary uses. Agriculture is the main water consumer in Africa, which cannot be compromised due to its role in domestic food security and export supplies. The purpose of this paper is to demonstrate findings of the research done on benefits of greywater reuse in some countries, applicable to African countries. In Australia, greywater reuse has reduced freshwater demand, strain on wastewater treatment plants and energy consumption. Aquifer recharge has improved due to increased infiltration flows from greywater uses. In Lebanon, greywater is a valuable resource for encouraging plant growth from nutrients that may otherwise have been wasted. Palestine shares similar climate and water scarcity conditions with most arid sub-Saharan African countries, yet utilizes grey water in production of crops and citrus fruits. Thus use of grey water should be possible in African cities such as Harare, where nearly two thirds of the population rely on agriculture for livelihoods. The problem of blue green algae in sewerage ponds and water reservoirs is significantly reduced by household reuse of grey water in Mexico. Water savings are increased and expenses reduced, as illustrated by the reduction in consumption of municipality freshwater supplies in South African urban areas. Rural communities and schools in Namibia and Egypt have raised funds from grey water reuse in banana plantations. A possible constraint to this strategy could be the unavailability of appropriate technology for primary treatment of grey water before reuse. This strategy may pose health risks where water quality tests are unknown or unavailable
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.
They all play a role — more accurately, as great a role as granted to them — as do both modern and traditional institutions for conflict resolution. .... Development of financial management systems for improved WDM. 9% ..... training of water officials and extension officers in all of the above. ...... Chief Scientist, Food Security
Broman, D.; Gangopadhyay, S.; McGuire, M.; Wood, A.; Leady, Z.; Tansey, M. K.; Nelson, K.; Dahm, K.
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?
Southern California is subject to long droughts and short wet spells. Its water agencies have put in place voluntary, mandatory, and market-based conservation strategies since the 1980s. By analyzing water agencies' data between 2006 and 2010, this research studies whether rebates for water efficient fixtures, water rates, or water ordinances have been effective, and tests whether structural characteristics of water agencies have affected the policy outcome. It finds that mandates to curb outdoor water uses are correlated with reductions in residential per capita water usage, while water rates and subsidies for water saving devices are not. It also confirms that size is a significant policy implementation factor. In a policy perspective, the transition from a water supply to a water demand management-oriented strategy appears guided by mandates and by contextual factors such as the economic cycle and the weather that occur outside the water governance system. Three factors could improve the conservation effort: using prices as a conservation tool, not only as a cost recovering instrument; investing in water efficient tools only when they provide significant water savings; supporting smaller agencies in order to give them opportunities to implement conservation strategies more effectively or to help them consolidate.
Dec 22, 2010 ... The Millennium Development Goals identify lack of clean water supply as a key factor in ... By saving water, WDM contributes to improved access to fresh water, can improve ... Villages in Nepal prepare for weather extremes.
The Millennium Development Goals identify lack of clean water supply as a key factor in the lives of the poor. Eighty percent of poor people questioned in 20 countries rated lack of access to clean water as one of the main reasons for their situation. By saving water, WDM contributes to improved access to fresh water, can ...
Aug 30, 2005 ... Limited water resources pose severe constraints on people's economic ... of WDM techniques in the areas of wastewater reuse, water valuation, ... This book will provide some of the necessary knowledge required to further ...
Friedman, Kenneth; Heaney, James P.; Morales, Miguel; Palenchar, John
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.
Jan 18, 2012 ... The Millennium Development Goals identify lack of clean water supply as a key factor in the lives of the poor. Eighty percent of poor people questioned in 20 countries rated lack of access to clean water as one of the main reasons for their situation. By saving water, WDM contributes to improved access to ...
Throughout Africa and the Middle East, supplies of fresh water for growing and ... As well, additional sources of supply are becoming scarce and more expensive to ... This publication documents WDM research activities in North Africa and the ... Adaptation strategies for two Colombian cities were discussed at ADAPTO's ...
Nazemi, A.; Wheater, H. S.
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
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.
Cominola, A.; Giuliani, M.; Castelletti, A.; Piga, D.; Rizzoli, A. E.
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
morteza tahami pour zarandi
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.
Ziolkowska, J. R.; Reyes, R.
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.
Mohie M. Omar
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.
Zeff, H. B.; Characklis, G. W.
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
Lu Hao; Ge Sun; Yongqiang Liu; Hong Qian
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...
Rankin, Riaan; Rousseau, Pieter G.; Eldik, Martin van
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
Gumbo, Bekithemba; Forster, Laura; Arntzen, Jaap
Successful water demand management (WDM) implementation as a component of integrated water resource management (IWRM) can play a significant role in the alleviation of poverty through more efficient use of available water resources. The urban population in Southern African cities is characterised by so-called ‘water poor’ communities who typically expend a high percentage of their household income on poor quality water. Usually they have no access to an affordable alternative source. Although WDM as a component of IWRM is not a panacea for poverty, it can help alleviate poverty by facilitating water services management by municipal water supply agencies (MWSAs) in the region. WDM is a key strategy for achieving the millennium development goals (MDGs) and, as such, should be given due attention in the preparation of national IWRM and water efficiency plans. Various studies in the Southern African region have indicated that capacity building is necessary for nations to develop IWRM and water-use efficiency plans to meet the targets set out in the MDGs. WDM education and training of water professionals and end-users is particularly important in developing countries, which are resource and information-access poor. In response to these findings, The World Conservation Union (IUCN) and its consulting partners, the Training and Instructional Design Academy of South Africa (TIDASA), and Centre for Applied Research (CAR) designed, developed and presented a pilot WDM Guideline Training Module for MWSAs as part of Phase II of IUCN’s Southern Africa regional WDM project. Pilot training was conducted in July 2004 in Lusaka, Zambia for a group of 36 participants involved in municipal water supply from nine Southern African countries. This paper looks at the links between building the capacity of professionals, operational staff and other role-players in the municipal water supply chain to implement WDM as part of broader IWRM strategies, and the subsequent potential for
Zeitoun, Mark; Allan, Tony; Al Aulaqi, Nasser; Jabarin, Amer; Laamrani, Hammou
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’.
Mulwafu, W.; Chipeta, C.; Chavula, G.; Ferguson, A.; Nkhoma, B. G.; Chilima, G.
This paper discusses the status of water demand management (WDM) in Malawi. Findings from the study indicate that, while WDM is highly advocated in the urban and peri-urban areas, very few aspects of WDM are practiced in the rural areas. The water pricing structure that the supplying institutions established serves as a disincentive for water wastages in the urban areas. Both private firms and individuals use various measures to conserve water as a way of minimizing water consumption. The motives for water conservation range from profit maximization to inadequate financial resources to meet the costs of water respectively. In the rural areas where water is supplied at no cost, the people tend to pay less attention to water conservation. In cases where water providers attempted to institute factors of cost sharing, the rural inhabitants tended to be reluctant to contribute. This is so because people view water as a social good that should be supplied to them free of charge. The paper demonstrates that although some aspects of WDM are being practiced in the country, the existing conditions on the ground militate against its increased expansion as a strategy for promoting an efficient and equitable use of existing water resources. A large section of the population still lack access to potable water and the Malawi government is committed to the provision of basic water services. Yet WDM will become even more critical in future because of the growing competition for water resources, particularly due to the growing population and the increasing economic activities such as farming, industrialization and urbanization. The paper argues that despite the promising benefits that WDM has, its promotion must necessarily be infused with ideas of water supply, considering that the largest population still lacks access to potable water. Coupled with this will be the need for a proper policy framework that promotes public awareness for people to start appreciating the economic value
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
As a result of the rapid rate of urbanisation throughout Africa, many African cities face mounting challenges of providing their increasing populations with adequate and sustainable water services. Water demand management (WDM) offers a sustainable solution to water woes experienced in most cities in the southern Africa region. The region is characterised by frequent droughts, floods and erratic, unevenly distributed rainfall. Meanwhile nearly half of the southern Africa’s 200 million inhabitants do not have access to safe water and sanitation. This paper makes an assessment of the status of WDM in eight cities in the region based on published data and reports. It provides a basis of benchmarking the progress and success in WDM programmes by using selected key performance indicators. Gross unaccounted-for-water (UAW) is used as a crude measure of WDM good practice. From the eight selected case studies, Windhoek, Bulawayo and Hermanus have achieved considerable success in water use efficiency, implementing WDM programmes and recording UAW values of less than 20%, whilst Johannesburg; Maputo; Maseru; Lusaka and Mutare cannot account for about 40-60% of the water introduced into the distribution system. WDM projects require some key performance indicators which need to be recorded systematically by water supply agencies to enable a consistent monitoring and evaluation of programme. Finally for WDM to succeed, a new breed of professionals with multi-disciplinary skills is required as well as training of operatives, i.e. technicians, plumbers and meter readers.
Rankin, R.; Rousseau, P.G.
The South African electrical utility, ESKOM, currently focuses its demand side management (DSM) initiatives on controlling electrical load between 18:00 and 20:00 each day, which is the utility's peak demand period. Funding is provided to energy service companies (ESCo's) to implement projects that can achieve load shifting out of this period. This paper describes how an improved in line water heating concept developed in previous studies was implemented into several real life industrial sanitary water heating systems to obtain the DSM load shift required by ESKOM. Measurements from a selection of these plants are provided to illustrate the significant load reductions that are being achieved during 18:00-20:00. The measured results also show that the peak load reduction is achieved without adversely affecting the availability of sufficient hot water to the persons using the showering and washing facilities served by the water heating system. A very good correlation also exists between these measured results and simulations that were done beforehand to predict the DSM potential of the project. The in line water heater concept provides an improved solution for DSM at sanitary water heating systems due to the stratified manner in which hot water is supplied to the tanks. This provides an improved hot water supply to users when compared to conventional in tank heating systems, even with load shifting being done. It also improves the storage efficiency of a plant, thereby allowing the available storage capacity of a plant to be utilized to its full extent for load shifting purposes
Yalçıntaş, Murat; Bulu, Melih; Küçükvar, Murat; Samadi, Hamidreza
Yayın, Endüstri Mühendisliği Bölümü ile ortak hazırlanmıştır; ancak tekrara düşmemek için ilk yazarın bölümü alınmıştır. 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, usi...
Dale, A. L.; Boehlert, B.; Reisenauer, M.; Strzepek, K. M.; Solomon, S.
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.
Kathleen C. Stosch
Full Text Available Ensuring water, food and energy security for a growing world population represents a 21st century catchment management challenge. Failure to recognise the complexity of interactions across ecosystem service provision can risk the loss of other key environmental and socioeconomic benefits from the natural capital of catchment systems. In particular, the ability of soil and water to meet human needs is undermined by uncertainties around climate change effects, ecosystem service interactions and conflicting stakeholder interests across catchments. This critical review draws from an extensive literature to discuss the benefits and challenges of utilising an ecosystem service approach for integrated catchment management (ICM. State-of-the-art research on ecosystem service assessment, mapping and participatory approaches is evaluated and a roadmap of the key short- and longer-term research needs for maximising landscape-scale ecosystem service provision from catchments is proposed.
Baki, Sotiria; Rozos, Evangelos; Makropoulos, Christos
Although it is now widely acknowledged that urban water systems (UWSs) are complex socio-technical systems and that a shift towards a socio-technical approach is critical in achieving sustainable urban water management, still, more often than not, UWSs are designed using a segmented modelling approach. As such, either the analysis focuses on the description of the purely technical sub-system, without explicitly taking into account the system's dynamic socio-economic processes, or a more interdisciplinary approach is followed, but delivered through relatively coarse models, which often fail to provide a thorough representation of the urban water cycle and hence cannot deliver accurate estimations of the hydrosystem's responses. In this work we propose an integrated modelling approach for the study of the complete socio-technical UWS that also takes into account socio-economic and climatic variability. We have developed an integrated model, which is used to investigate the diffusion of household water conservation technologies and its effects on the UWS, under different socio-economic and climatic scenarios. The integrated model is formed by coupling a System Dynamics model that simulates the water technology adoption process, and the Urban Water Optioneering Tool (UWOT) for the detailed simulation of the urban water cycle. The model and approach are tested and demonstrated in an urban redevelopment area in Athens, Greece under different socio-economic scenarios and policy interventions. It is suggested that the proposed approach can establish quantifiable links between socio-economic change and UWS responses and therefore assist decision makers in designing more effective and resilient long-term strategies for water conservation. Copyright © 2017 Elsevier B.V. All rights reserved.
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.
Paluszczyszyn, D.; Illya, S.; Goodyer, E.; Kubrycht, T.; Ambler, M.
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...
Mahmood, A.; Hossain, F.
Low-lying deltas of Asian region are usually densely populated and located in developing countries situated at the downstream end of major rivers. Extensive dam construction by the upstream countries has now caused water scarcity in large portions of low-lying deltas. Most inhabitants depend on shallow tube well for safe drinking water that tend to suffer from water quality issues (e.g. Arsenic contamination). In addition, people also get infected from water borne diseases like Cholera and Typhoid due to lack of safe drinking water. Developing a centralized piped network based water supply system is often not a feasible option in rural regions. Due to social acceptability, environment friendliness, lower capital and maintenance cost, rainwater harvesting can be the most sustainable option to supply safe drinking water in rural areas. In this study, first we estimate the monthly rainfall variability using long precipitation climatology from satellite precipitation data. The upper and lower bounds of monthly harvestable rainwater were estimated for each satellite precipitation grid. Taking this lower bound of monthly harvestable rainwater as input, we use quantitative water management concept to determine the percent of the time of the year potable water demand can be fulfilled. Analysis indicates that a 6 m³ reservoir tank can fulfill the potable water demand of a 6 person family throughout a year in almost all parts of this region.
Reyes Perez, M.
Water resources on many islands in the world have been severely strained by increases in visitors. Santa Cruz Island, a tourism hub in the Galapagos, is facing significant challenges of too many people and not enough available water. There are no permanent freshwater resources on Santa Cruz, and the
Reyes Perez, M.F.
Water resources in tourist islands have been severely threatened, especially in the Galápagos Islands, where the increased local population has generated attractive income from the tourist services. In addition, the data regarding water supply and demand are scarce. This study investigates water
Seiffert, U [Braunschweig Technical Univ., Braunschweig (Germany)
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.
Galaitsis, S. E.; Huber-lee, A. T.; Vogel, R. M.; Naumova, E.
Water demand management uses price elasticity estimates to predict consumer demand in relation to water pricing changes, but studies have shown that many additional factors effect water consumption. Development scholars document the need for water security, however, much of the water security literature focuses on broad policies which can influence water demand. Previous domestic water demand studies have not considered how water security can affect a population's consumption behavior. This study is the first to model the influence of water insecurity on water demand. A subjective indicator scale measuring water insecurity among consumers in the Palestinian West Bank is developed and included as a variable to explore how perceptions of control, or lack thereof, impact consumption behavior and resulting estimates of price elasticity. A multivariate regression model demonstrates the significance of a water insecurity variable for data sets encompassing disparate water access. When accounting for insecurity, the R-squaed value improves and the marginal price a household is willing to pay becomes a significant predictor for the household quantity consumption. The model denotes that, with all other variables held equal, a household will buy more water when the users are more water insecure. Though the reasons behind this trend require further study, the findings suggest broad policy implications by demonstrating that water distribution practices in scarcity conditions can promote consumer welfare and efficient water use.
Chen, Yizhong; Lu, Hongwei; Li, Jing; Ren, Lixia; He, Li
This study presents the mathematical formulation and implementations of a synergistic optimization framework based on an understanding of water availability and reliability together with the characteristics of multiple water demands. This framework simultaneously integrates a set of leader-followers-interactive objectives established by different decision makers during the synergistic optimization. The upper-level model (leader's one) determines the optimal pollutants discharge to satisfy the environmental target. The lower-level model (follower's one) accepts the dispatch requirement from the upper-level one and dominates the optimal water-allocation strategy to maximize economic benefits representing the regional authority. The complicated bi-level model significantly improves upon the conventional programming methods through the mutual influence and restriction between the upper- and lower-level decision processes, particularly when limited water resources are available for multiple completing users. To solve the problem, a bi-level interactive solution algorithm based on satisfactory degree is introduced into the decision-making process for measuring to what extent the constraints are met and the objective reaches its optima. The capabilities of the proposed model are illustrated through a real-world case study of water resources management system in the district of Fengtai located in Beijing, China. Feasible decisions in association with water resources allocation, wastewater emission and pollutants discharge would be sequentially generated for balancing the objectives subject to the given water-related constraints, which can enable Stakeholders to grasp the inherent conflicts and trade-offs between the environmental and economic interests. The performance of the developed bi-level model is enhanced by comparing with single-level models. Moreover, in consideration of the uncertainty in water demand and availability, sensitivity analysis and policy analysis are
In recent years, power tariff policy has been increasingly advocated as a mean to influence groundwater use and withdrawal decisions of farmers in view of the failure of existing direct and indirect regulations on groundwater withdrawal in India. Many researchers argue that pro rata electricity tariff, with built in positive marginal cost of pumping could bring about efficient use of the resource, though some argue that the levels of tariff in which demand becomes elastic to pricing are too high to be viable from political and socio-economic points of view. The paper presents a theoretical model to analyze farmers' response to changes in power tariff and water allocation regimes vis a vis energy and groundwater use. It validates the model by analyzing water productivity in groundwater irrigation under different electricity pricing structures and water allocation regimes. Water productivity was estimated using primary data of gross crop inputs, cost of all inputs, and volumetric water inputs. The analysis shows that unit pricing of electricity influences groundwater use efficiency and productivity positively. It also shows that the levels of pricing at which demand for electricity and groundwater becomes elastic to tariff are socio-economically viable. Further, water productivity impacts of pricing would be highest when water is volumetrically allocated with rationing. Therefore, an effective power tariff policy followed by enforcement of volumetric water allocation could address the issue of efficiency, sustainability and equity in groundwater use in India
Hengsdijk, H.; Krogt, van der W.; Verhaeghe, R.J.; Bindraban, P.S.
In peri-urban areas competition among domestic, municipal, industrial and agriculture water use is strong and calls for identification of alternatives to bridge the widening gap between required and available water resources. In this study, the RIver BAsin SIMulation (RIBASIM) model is applied to
Bakker, M.; Vreeburg, J.H.G.; Van der Roer, M.; Sperber, V.
An algorithm which compares measured and predicted water demands to detect pipe bursts was developed and tested on three data sets of water demand and reported pipe bursts of three years. The algorithm proved to be able to detect bursts where the water loss exceeds 30% of the average water demand in
Spinelli, GM; Shackel, KA; Gilbert, ME
© 2017 Elsevier B.V. Water potential is a useful predictive tool in irrigation scheduling as it, or a component, is associated with physiological responses to water deficit. Increasing atmospheric demand for water increases transpiration and decreases water potential for the same stomatal conductance. However, based on supply by the soil-plant-atmosphere-continuum, decreasing soil water potential should decrease stomatal conductance and thus transpiration but also decrease water potential. Su...
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
Acosta, R.; Rodriguez, J. P.
Water resources availability is a global concern due to increasing demands, decreasing quality and uncertain spatio-temporal variability (United Nations, 2009). In urban contexts research on efficient water use is a priority to cope with the future vulnerability of water supplies as a result of the impacts of climate change (Bates et al, 2008). Following the proposed methodologies of He and Kua (2013) for implementing programs to promote sustainable energy consumption, we focused on the use of educational strategies to promote a voluntary rationalization of residential water demand. We collaborated with three schools in Soacha (Colombia) where students ranging from 12 to 15 years participated in the project as promoters of educational campaigns inside their families, covering 120 low and middle-low income households. Three intervention or treatment strategies (i.e. e-learning, in-person active learning activities and graphical learning tools) were carried out over a period of 5 months. We analyzed the effects of the treatments strategies in reducing water consumption rates and the dependence of this variable on socio-demographic, economic, environmental, and life quality factors by using personal interviews and self reported water saving technics. The results showed that educational campaigns have a positive effect on reducing consumption in the households. Graphical learning tools accounted for the highest reduction in water consumption. Moreover, the results of the study suggests that socio-economic factors such as type of house, social level, income, and life quality variables significantly affect the variability in water consumption, which is an important fact to consider in similar cases where communities face difficult socio-economic conditions, displacement or high rates of urban growth.
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.
This paper presents Hourly water demand prediction at the demand nodes of a water distribution network using NeuNet Pro 2.3 neural network software and the monitoring and control of water distribution using supervisory control. The case study is the Laminga Water Treatment Plant and its water distribution network, Jos.
Chaturvedi, Vaibhav [Joint Global Change Research Inst., College Park, MD (United States); Hejazi, Mohamad I. [Joint Global Change Research Inst., College Park, MD (United States); Edmonds, James A. [Joint Global Change Research Inst., College Park, MD (United States); Clarke, Leon E. [Joint Global Change Research Inst., College Park, MD (United States); Kyle, G. Page [Joint Global Change Research Inst., College Park, MD (United States); Davies, Evan [Univ. of Alberta, Edmonton, AB (Canada); Wise, Marshall A. [Joint Global Change Research Inst., College Park, MD (United States); Calvin, Katherine V. [Joint Global Change Research Inst., College Park, MD (United States)
Energy, water and land are scarce resources, critical to humans. Developments in each affect the availability and cost of the others, and consequently human prosperity. Measures to limit greenhouse gas concentrations will inevitably exact dramatic changes on energy and land systems and in turn alter the character, magnitude and geographic distribution of human claims on water resources. We employ the Global Change Assessment Model (GCAM), an integrated assessment model to explore the interactions of energy, land and water systems in the context of alternative policies to limit climate change to three alternative levels: 2.5 Wm-2 (445 ppm CO2-e), 3.5 Wm-2 (535 ppm CO2-e) and 4.5 Wm-2 (645 ppm CO2-e). We explore the effects of two alternative land-use emissions mitigation policy options—one which taxes terrestrial carbon emissions equally with fossil fuel and industrial emissions, and an alternative which only taxes fossil fuel and industrial emissions but places no penalty on land-use change emissions. We find that increasing populations and economic growth could be anticipated to almost triple demand for water for agricultural systems across the century even in the absence of climate policy. In general policies to mitigate climate change increase agricultural demands for water still further, though the largest changes occur in the second half of the century, under both policy regimes. The two policies examined profoundly affected both the sources and magnitudes of the increase in irrigation water demands. The largest increases in agricultural irrigation water demand occurred in scenarios where only fossil fuel emissions were priced (but not land-use change emission) and were primarily driven by rapid expansion in bioenergy production. In these scenarios water demands were large relative to present-day total available water, calling into question whether it would be physically possible to produce the associated biomass energy. We explored the potential of improved
Garcia, M. E.; Islam, S.
Water utilities have a number of levers to influence customer water usage. These include levers to proactively slow demand growth over time such as building and landscape codes as well as levers to decrease demands quickly in response to water stress including price increases, education campaigns, water restrictions, and incentive programs. Even actions aimed at short term reductions can result in long term water usage declines when substantial changes are made in water efficiency, as in incentives for fixture replacement or turf removal, or usage patterns such as permanent lawn watering restrictions. Demand change is therefore linked to hydrological conditions and to the effects of past management decisions - both typically included in water supply planning models. Yet, demand is typically incorporated exogenously using scenarios or endogenously using only price, though utilities also use rules and incentives issued in response to water stress and codes specifying standards for new construction to influence water usage. Explicitly including these policy levers in planning models enables concurrent testing of infrastructure and policy strategies and illuminates interactions between the two. The City of Las Vegas is used as a case study to develop and demonstrate this modeling approach. First, a statistical analysis of system data was employed to rule out alternate hypotheses of per capita demand decrease such as changes in population density and economic structure. Next, four demand sub-models were developed including one baseline model in which demand is a function of only price. The sub-models were then calibrated and tested using monthly data from 1997 to 2012. Finally, the best performing sub-model was integrated with a full supply and demand model. The results highlight the importance of both modeling water demand dynamics endogenously and taking a broader view of the variables influencing demand change.
U.S. Environmental Protection Agency — Population projections, estimated per capita consumption rate, and estimated total annual water demand to 2100 for four future projections based off the IPCC SRES...
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.
Water managers and planners require accurate water demand forecasts over the short-, medium- and long-term for many purposes. These range from assessing water supply needs over spatial and temporal patterns to optimizing future investments and planning future allocations across competing sectors. This study surveys the empirical literature on the urban water demand forecasting using the meta-analytical approach. Specifically, using more than 600 estimates, a meta-regression analysis is conducted to identify explanations of cross-studies variation in accuracy of urban water demand forecasting. Our study finds that accuracy depends significantly on study characteristics, including demand periodicity, modeling method, forecasting horizon, model specification and sample size. The meta-regression results remain robust to different estimators employed as well as to a series of sensitivity checks performed. The importance of these findings lies in the conclusions and implications drawn out for regulators and policymakers and for academics alike. Copyright © 2016. Published by Elsevier Ltd.
Lopes, Francisca Barbosa Malpique de Paiva
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...
Coulibaly, Lassina; Jakus, Paul M.; Keith, John E.
A significant portion of the world's population lives in areas where public water delivery systems are unreliable and/or deliver poor quality water. In response, people have developed important alternatives to publicly supplied water. To date, most water demand research has been based on single-equation models for a single source of water, with very few studies that have examined water demand from two sources of water (where all nonpublic system water sources have been aggregated into a single demand). This modeling approach leads to two outcomes. First, the demand models do not capture the full range of alternatives, so the true economic relationship among the alternatives is obscured. Second, and more seriously, economic theory predicts that demand for a good becomes more price-elastic as the number of close substitutes increases. If researchers artificially limit the number of alternatives studied to something less than the true number, the price elasticity estimate may be biased downward. This paper examines water demand in a region with near universal access to piped water, but where system reliability and quality is such that many alternative sources of water exist. In extending the demand analysis to four sources of water, we are able to (i) demonstrate why households choose the water sources they do, (ii) provide a richer description of the demand relationships among sources, and (iii) calculate own-price elasticity estimates that are more elastic than those generally found in the literature.
The implementation of water conservation and water demand management ... and the municipalities do not have the necessary financial, technical and institutional capacity to support such a ... The methodology for this study was developed as part of the ... Study' for the Vaal River system (DWAF, 2006; DWAF, 2009).
Uuspaeae, P [VTT Energy, Espoo (Finland)
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
Liu, Junguo; Zhao, Dandan; Gerbens-Leenes, Winnie; Guan, Dabo
Demand for hydropower is increasing, yet the water footprints (WFs) of reservoirs and hydropower, and their contributions to water scarcity, are poorly understood. Here, we calculate reservoir WFs (freshwater that evaporates from reservoirs) and hydropower WFs (the WF of hydroelectricity) in China
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...
Ghalehkhondabi, Iman; Ardjmand, Ehsan; Young, William A; Weckman, Gary R
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.
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
Liu, Junguo; Zhao, Dandan; Gerbens-Leenes, P W; Guan, Dabo
Demand for hydropower is increasing, yet the water footprints (WFs) of reservoirs and hydropower, and their contributions to water scarcity, are poorly understood. Here, we calculate reservoir WFs (freshwater that evaporates from reservoirs) and hydropower WFs (the WF of hydroelectricity) in China based on data from 875 representative reservoirs (209 with power plants). In 2010, the reservoir WF totaled 27.9 × 10(9) m(3) (Gm(3)), or 22% of China's total water consumption. Ignoring the reservoir WF seriously underestimates human water appropriation. The reservoir WF associated with industrial, domestic and agricultural WFs caused water scarcity in 6 of the 10 major Chinese river basins from 2 to 12 months annually. The hydropower WF was 6.6 Gm(3) yr(-1) or 3.6 m(3) of water to produce a GJ (10(9) J) of electricity. Hydropower is a water intensive energy carrier. As a response to global climate change, the Chinese government has promoted a further increase in hydropower energy by 70% by 2020 compared to 2012. This energy policy imposes pressure on available freshwater resources and increases water scarcity. The water-energy nexus requires strategic and coordinated implementations of hydropower development among geographical regions, as well as trade-off analysis between rising energy demand and water use sustainability.
Estes, J. E.; Jensen, J. R.; Tinney, L. R.; Rector, M.
In an attempt to determine the ability of remote sensing techniques to economically generate data required by water demand models, the Geography Remote Sensing Unit, in conjunction with the Kern County Water Agency of California, developed an analysis model. As a result it was determined that agricultural cropland inventories utilizing both high altitude photography and LANDSAT imagery can be conducted cost effectively. In addition, by using average irrigation application rates in conjunction with cropland data, estimates of agricultural water demand can be generated. However, more accurate estimates are possible if crop type, acreage, and crop specific application rates are employed. An analysis of the effect of saline-alkali soils on water demand in the study area is also examined. Finally, reference is made to the detection and delineation of water tables that are perched near the surface by semi-permeable clay layers. Soil salinity prediction, automated crop identification on a by-field basis, and a potential input to the determination of zones of equal benefit taxation are briefly touched upon.
D. B. Telfah
Full Text Available Modelling and optimization techniques for water resources allocation are proposed to identify the economic value of the unsatisfied municipal water demand against demands emerging from other sectors. While this is always an important step in integrated water resource management perspective, it became crucial for water scarce Countries. In fact, since the competition for the resource is high, they are in crucial need to trade values which will help them in satisfying their policies and needs. In this framework, hydro-economic, social equity and environmental constraints need to be satisfied. In the present study, a hydro-economic decision model based on optimization schemes has been developed for water resources allocation, that enable the evaluation of the economic cost of a deficiency in fulfilling the municipal demand. Moreover, the model enables efficient water resources management, satisfying the demand and proposing additional water resources options. The formulated model is designed to maximize the demand satisfaction and minimize water production cost subject to system priorities, preferences and constraints. The demand priorities are defined based on the effect of demand dissatisfaction, while hydrogeological and physical characteristics of the resources are embedded as constraints in the optimization problem. The application to the City of Amman is presented. Amman is the Capital City of the Hashemite Kingdom of Jordan, a Country located in the south-eastern area of the Mediterranean, on the East Bank of the Jordan River. The main challenge for Jordan, that threat the development and prosperity of all sectors, is the extreme water scarcity. In fact, Jordan is classified as semi-arid to arid region with limited financial resources and unprecedented population growth. While the easy solution directly goes to the simple but expensive approach to cover the demand, case study results show that the proposed model plays a major role in
Telfah, Dua'a. B.; Minciardi, Riccardo; Roth, Giorgio
Modelling and optimization techniques for water resources allocation are proposed to identify the economic value of the unsatisfied municipal water demand against demands emerging from other sectors. While this is always an important step in integrated water resource management perspective, it became crucial for water scarce Countries. In fact, since the competition for the resource is high, they are in crucial need to trade values which will help them in satisfying their policies and needs. In this framework, hydro-economic, social equity and environmental constraints need to be satisfied. In the present study, a hydro-economic decision model based on optimization schemes has been developed for water resources allocation, that enable the evaluation of the economic cost of a deficiency in fulfilling the municipal demand. Moreover, the model enables efficient water resources management, satisfying the demand and proposing additional water resources options. The formulated model is designed to maximize the demand satisfaction and minimize water production cost subject to system priorities, preferences and constraints. The demand priorities are defined based on the effect of demand dissatisfaction, while hydrogeological and physical characteristics of the resources are embedded as constraints in the optimization problem. The application to the City of Amman is presented. Amman is the Capital City of the Hashemite Kingdom of Jordan, a Country located in the south-eastern area of the Mediterranean, on the East Bank of the Jordan River. The main challenge for Jordan, that threat the development and prosperity of all sectors, is the extreme water scarcity. In fact, Jordan is classified as semi-arid to arid region with limited financial resources and unprecedented population growth. While the easy solution directly goes to the simple but expensive approach to cover the demand, case study results show that the proposed model plays a major role in providing directions to
Bijl, David L.; Bogaart, Patrick W.; Kram, Tom; de Vries, Bert J M; van Vuuren, Detlef P.
Better water demand projections are needed in order to better assess water scarcity. The focus in this paper is on non-agricultural water demand, as this is the fastest-growing and least well-modelled demand component. We describe an end use-oriented model for future water demand in the electricity,
Full Text Available The aim of this study was to estimate the determinants of residential water demand for chief towns of every Italian province, in the period 2007–2009, using the linear mixed-effects model estimated with the restricted-maximum-likelihood method. Results confirmed that the applied tariff had a negative effect on residential water consumption and that it was a relevant driver of domestic water consumption. Moreover, income per capita had a positive effect on water consumption. Among measured climatic and geographical features, precipitation and altitude exerted a strongly significant negative effect on water consumption, while temperature did not influence water demand. Further, data show that small towns in terms of population served were characterized by lower levels of consumption. Water utilities ownership itself did not have a significant effect on water consumption but tariffs were significantly lower and residential water consumption was higher in towns where the water service was managed by publicly owned water utilities. However, further research is needed to gain a better understanding of the connection between ownership of water utilities and water prices and water consumption.
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.
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.
Gerards, Marco Egbertus Theodorus; Toersche, Hermen; Hoogsteen, Gerwin; van der Klauw, Thijs; Hurink, Johann L.; Smit, Gerardus Johannes Maria
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
N.A.H. Agatz (Niels)
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
Jan 1, 2001 ... In the Middle East and North Africa, water is rapidly becoming the key ... including water demand management, wastewater reuse, and fair pricing. ... the most promising water management policies, adds to our knowledge of ...
The Joint FAO/IAEA Division has been technically responsible for technical assistance projects aimed at improving water management practices in the following developing Member States: Argentina, Bulgaria, Chile, Costa Rica, Egypt, Greece, India, Ivory Coast, Kenya, Lebanon, Morocco, Niger, Nigeria, Pakistan, Peru, Republic of Korea, Romania, Senegal, Sri Lanka, Sudan, Syria, Tanzania, Turkey, Uganda and Zambia. The Division has also contributed to the improvement of the efficiency of water use through the implementation of three 5-year co-ordinated research programmes. Participants from eight to 15 countries have conducted research towards a common goal of improving nuclear techniques in water-use efficiency studies and developing practices to increase the food produced from a unit of irrigation water or rainfall. In many cases this was the first time such techniques have been used in the above countries. It was thus necessary to provide expert assistance to train local counterparts in the safe and efficient use of the equipment. Training courses have also been held in more advanced countries to familiarize young scientists from developing countries with the most modern techniques in soil/water research. Results obtained through the nuclear techniques aided research programmes will, when applied in farmers' fields on irrigated land, lead to increased yields, to reduced losses of nutrients through leaching below the rooting zone, and to conserving soil through avoiding the accumulation of salts close to the soil surface. Under rainfed agriculture, research results would help controlling erosion, conserving water, and ensuring sustained production at acceptable yield levels
Storm, Hugo; Heckelei, Thomas; Heidecke, Claudia
Irrigation water management is crucial for agricultural production and livelihood security in Morocco as in many other parts of the world. For the implementation of an effective water management knowledge about farmers’ irrigation water demand is crucial to assess demand reactions of a water pricing policy, to establish a cost-benefit analysis of water supply investments or to determine the optimal water allocation between different users. Previously used econometric methods providing this in...
Koch, Hagen; Voegele, Stefan
According to the latest IPCC reports, the frequency of hot and dry periods will increase in many regions of the world in the future. For power plant operators, the increasing possibility of water shortages is an important challenge that they have to face. Shortages of electricity due to water shortages could have an influence on industries as well as on private households. Climate change impact analyses must analyse the climate effects on power plants and possible adaptation strategies for the power generation sector. Power plants have lifetimes of several decades. Their water demand changes with climate parameters in the short- and medium-term. In the long-term, the water demand will change as old units are phased out and new generating units appear in their place. In this paper, we describe the integration of functions for the calculation of the water demand of power plants into a water resources management model. Also included are both short-term reactive and long-term planned adaptation. This integration allows us to simulate the interconnection between the water demand of power plants and water resources management, i.e. water availability. Economic evaluation functions for water shortages are also integrated into the water resources management model. This coupled model enables us to analyse scenarios of socio-economic and climate change, as well as the effects of water management actions. (author)
Manitoba Hydro's efforts to maximize production efficiency while meeting safety and environmental concerns regarding water management were discussed. The four-step dam safety program was outlined, consisting of inspection, repairs and improvements, flooding studies, and emergency preparedness plans. An oil spill which occurred in 1995 on the Nelson River after a transformer at the Kettle Generating Station failed, was described. A boom was used to contain the oil, and a skimmer unit was used to remove oil and soot from the surface of the water. Manitoba Hydro is also conducting studies to find ways to protect the generating stations from zebra mussels, and precautions are being taken to prevent old lead-based paint from reaching the Winnipeg River. It was noted that the drought which hit northern Manitoba during the spring and summer of 1995 reduced the water supplies to the lowest levels ever recorded at the Churchill River Diversion. 2 figs
Manitoba Hydro`s efforts to maximize production efficiency while meeting safety and environmental concerns regarding water management were discussed. The four-step dam safety program was outlined, consisting of inspection, repairs and improvements, flooding studies, and emergency preparedness plans. An oil spill which occurred in 1995 on the Nelson River after a transformer at the Kettle Generating Station failed, was described. A boom was used to contain the oil, and a skimmer unit was used to remove oil and soot from the surface of the water. Manitoba Hydro is also conducting studies to find ways to protect the generating stations from zebra mussels, and precautions are being taken to prevent old lead-based paint from reaching the Winnipeg River. It was noted that the drought which hit northern Manitoba during the spring and summer of 1995 reduced the water supplies to the lowest levels ever recorded at the Churchill River Diversion. 2 figs.
Litman, T. [Victoria Transport Policy Institute, Victoria, BC (Canada)
The advantages of transportation demand management (TDM) programs were discussed. TDM includes several policies, programs and measures designed to change travel patterns. TDM programs include commute trip reductions, pricing policies, land use management strategies, and programs to support alternative modes of transportation such as public transit, carpooling, bicycling, walking and telecommuting. TDM programs are designed to reduce traffic congestion and air pollution. Some other TDM programs and measures include: enabling programs, alternative mode encouragement, driving disincentives, parking programs, marginalizing user costs, reducing automobile ownership, and land use management.
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.
Water demand forecasting The total water demand in an area is the sum of the water demands of all individual domestic and industrial consumers in that area. These consumers behave in repetitive daily, weekly and annual patterns, and the same repetitive patterns can be observed in the drinking water
Litman, T. [Victoria Transport Policy Institute, Victoria, BC (Canada)
The full benefits of transportation demand management (TDM) programs were discussed. TDM includes several policies, programs and measures designed to change travel patterns. TDM programs include commute trip reductions, pricing policies, land use management strategies, and programs to support alternative modes of transportation such as public transit, carpooling, bicycling, walking and telecommuting. In addition to reduction in traffic congestion and reduction in air pollution, other impacts of TDM programs were also evaluated. The value of these impacts based on external cost savings was estimated. A list of documents, software and organizations which could be helpful for TDM planning and evaluation was provided. 34 refs., 14 tabs., 1 fig.
Ashoori, Negin; Dzombak, David A.; Small, Mitchell J.
Predictive models for urban water demand can help identify the set of factors that must be satisfied in order to meet future targets for water demand. Some of the explanatory variables used in such models, such as service area population and changing temperature and rainfall rates, are outside the immediate control of water planners and managers. Others, such as water pricing and the intensity of voluntary water conservation efforts, are subject to decisions and programs implemented by the water utility. In order to understand this relationship, a multiple regression model fit to 44 years of monthly demand data (1970-2014) for Los Angeles, California was applied to predict possible future demand through 2050 under alternative scenarios for the explanatory variables: population, price, voluntary conservation efforts, and temperature and precipitation outcomes predicted by four global climate models with two CO2 emission scenarios. Future residential water demand in Los Angeles is projected to be largely driven by price and population rather than climate change and conservation. A median projection for the year 2050 indicates that residential water demand in Los Angeles will increase by approximately 36 percent, to a level of 620 million m3 per year. The Monte Carlo simulations of the fitted model for water demand were then used to find the set of conditions in the future for which water demand is predicted to be above or below the Los Angeles Department of Water and Power 2035 goal to reduce residential water demand by 25%. Results indicate that increases in price can not ensure that the 2035 water demand target can be met when population increases. Los Angeles must rely on furthering their conservation initiatives and increasing their use of stormwater capture, recycled water, and expanding their groundwater storage. The forecasting approach developed in this study can be utilized by other cities to understand the future of water demand in water-stressed areas
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
Kulkarni, Himanshu; Vijay Shankar, P. S.; Deolankar, S. B.; Shah, Mihir
Watershed development programmes provide an opportunity for sustainable management strategies, although currently, they remain largely `supply-side' mechanisms of water resources development. Hydrogeological conditions, community participation and status of groundwater usage are important in evolving strategies on `demand-side' groundwater management. Neemkheda aquifer is a typical low-storage, low-hydraulic conductivity aquifer from a watershed in the dryland regions of Madhya Pradesh State of central India. A shallow unconfined aquifer, it consists of an upper coarse, calcareous sandstone unit underlain by a fine-grained sandstone unit. A `well commune' of seven wells is poised to test the concept of joint groundwater management, wherein wells are mechanisms of tapping a common water source, the Neemkheda aquifer. The strategy for systematic groundwater management in the Neemkheda well commune is based upon the relationship between Transmissivity (T) and Storage coefficient (S), i.e. aquifer diffusivity, and its variation within the aquifer. Wells within a high diffusivity domain tend to dewater more quickly than wells within a low diffusivity domain. A well-use schedule during the dry season, based upon aquifer diffusivity forms the basis of the groundwater management concept. The distribution of local aquifer diffusivities governs the relationship between local and regional aquifer depletion times and forms the basis of the groundwater management exercise being proposed for the Neemkheda aquifer. Los programas de desarrollo de una cuenca hídrica son una oportunidad para el uso de estrategias de gestión sostenible, aunque hoy en día estas siguen siendo principalmente mecanismos para el desarrollo de recursos hídricos con énfasis en la ``oferta''. Las condiciones hidrogeológicas, la participación comunitaria y la condición de utilización del agua subterránea, son importantes en el desarrollo de estrategias para la gestión del agua subterránea, desde
Braarud, Per Oeivind; Brendryen, Haavar
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)
Pastor, Amandine; Palazzo, Amanda; Havlik, Petr; Obersteiner, Michael; Biemans, Hester; Wada, Yoshihide; Kabat, Pavel; Ludwig, Fulco
Water is not an infinite resource and demand from irrigation, household and industry is constantly increasing. This study focused on including global water availability including environmental flow requirements with water withdrawal from irrigation and other sectors at a monthly time-step in the GLOBIOM model. This model allows re-adjustment of land-use allocation, crop management, consumption and international trade. The GLOBIOM model induces an endogenous change in water price depending on water supply and demand. In this study, the focus was on how the inclusion of water resources affects land-use and, in particular, how global change will influence repartition of irrigated and rainfed lands at global scale. We used the climate change scenario including a radiative forcing of 8.5 W/m2 (RCP8.5), the socio-economic scenario (SSP2: middle-of-road), and the environmental flow method based on monthly flow allocation (the Variable Monthly Flow method) with high and low restrictions. Irrigation withdrawals were adjusted to a monthly time-step to account for biophysical water limitations at finer time resolution. Our results show that irrigated land might decrease up to 40% on average depending on the choice of EFR restrictions. Several areas were identified as future hot-spots of water stress such as the Mediterranean and Middle-East regions. Other countries were identified to be in safe position in terms of water stress such as North-European countries. Re-allocation of rainfed and irrigated land might be useful information for land-use planners and water managers at an international level to decide on appropriate legislations on climate change mitigation/adaptation when exposure and sensitivity to climate change is high and/or on adaptation measures to face increasing water demand. For example, some countries are likely to adopt measures to increase their water use efficiencies (irrigation system, soil and water conservation practices) to face water shortages, while
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.].
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.
Blaauwbroek, N.; Nguyen, H.P.; Slootweg, J.G.
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
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)
Social marketing is an increasingly popular means of Travel Demand Management (TDM) for promoting non-car modes of travel that has proven to be effective, in particular if combined with structural improvements. Successful social marketing is based on a thorough understanding of targeted people......’s needs, wants, and perceived barriers. It uses a combination of means to create an attractive offering tailored to these needs, wants, and perceived barriers. It applies established marketing techniques for catching attention to the offerings. However, there are limits to what social marketing can...... accomplish. In particular, social marketing is limited to cases where only perceived and not real barriers prevent people from using alternative travel modes. A review is given of research on and practical experiences of social marketing in TDM as a basis for evaluating its usefulness....
Hopkins, M.F.; Conger, R.L.; Foley, T.J. [and others
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.
Milliken, J. Gordon; Taylor, Graham C
.... This involves learning something about the alternative strategies--some ancient and others not yet operational--for increasing water supplies and/or modifying demand so a supply/demand balance is maintained...
Rious, Vincent; Roques, Fabien
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
need to implement desalination schemes by ensuring water is used in in a 'fit for purpose' manner. This study therefore aims to better understand the impact that pools have on residential water demand through the analysis of metered water demand records and end-use modelling. The study site was the Liesbeek.
Lampropoulos, I.; Kling, W.L.; Ribeiro, P.F.; Berg, van den J.
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
Zhang, B.; Fang, K. H.; Baerenklau, K. A.
China continues to deal with severe levels of water scarcity and water pollution. To help address this situation, the Chinese central government initiated urban water pricing reforms in 2002 that emphasized the adoption of increasing block rate (IBR) price structures in place of existing uniform rate structures. By combining urban water use records with microlevel data from the Chinese Urban Household Survey, this research investigates the effectiveness of this national policy reform. Specifically, we compare household water consumption in 28 cities that adopted IBR pricing structures during 2002-2009, with that of 110 cities that had not yet done so. Based on difference-in-differences models, our results show that the policy reform reduced annual residential water demand by 3-4% in the short run and 5% in the longer run. These relatively modest reductions are consistent with the generous nature of the IBR pricing structures that Chinese cities have typically chosen to implement. Our results imply that more efforts are needed to address China's persistent urban water scarcity challenges.
Hoşgör, Enes; Fischbeck, Paul S.
Highlights: • We built regression models using publicly available data as independent variables. • These models were used to predict monthly utility usage. • Such models can empower demand-side management program design, implementation and evaluation. • As well as planning for changes in energy and water demand. - Abstract: The overarching objective behind this work is to merge publicly available data with utility consumption histories and extract statistically significant insight on utility usage for a group of houses (n = 7022) in Gainesville, USA. This study investigates the statistical descriptive power of publicly available information for modeling utility usage. We first examine the deviations that arise from monthly utility usage reading dates as reading dates tend to shift and reading periods tend to vary across different months. Then we run regression models for individual months which in turn we compare to a yearly regression model which accounts for months as a dummy variable to understand whether a monthly model or a yearly model has a larger statistical power. It is shown that publicly available data can be used to model residential utility usage in the absence of highly private utility data. The obtained results are helpful for utilities for two reasons: (1) using the models to predict the monthly changes in demand; and (2) predicting utility usage can be translated into energy-use intensity as a first-cut metric for energy efficiency targeting in their service territory to meet their state demand reduction targets
Jan 1, 2017 ... Interface for activation and deactivation of valves. •. Interface demand ... process could be done and monitored at the computer terminal as expected of a ....  Arbib, M. A.The Handbook of Brain Theory and Neural. Networks.
South Africa is a water-stressed country and the efficient management of the demand for and frugal use of water is a topic that can no longer be avoided. Community-based natural resource management is an alternative approach to government stewardship of natural resources, and in the instance of water management it is ...
Kolbe, A.L.; O'Loughlin, M.P.
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
Costs of repairing and expanding aging infrastructure and competing demands for water from other sectors such as industry and agriculture are stretching policy makers’ abilities to meet essential domestic drinking water needs for future generations. Using Bayesian statistic...
Chemical oxygen demand (cod) attenuation of methyl red in water using biocarbons obtained from Nipa palm leaves. ... eco-friendly and locally accessible biocarbon for mitigation of organic contaminants in water. Keywords: Chemical oxygen demand, biocarbon, methyl red, biodegradation, bioremediation, Nipa palm ...
Dominguez Calle, Efrain Antonio; Gonzalo Rivera, Hebert; Vanegas, Sarmiento Raquel; Moreno, Pedro
This paper shows updated results about Colombian water resources and their requirements by the economic sectors. Water demand water availability relationship is used as a pressure index on water resources. This relationship is expressed through the water scarcity index, which applies constraints over water availability; due to the runoff temporal variability and to the low levels of water during the dry season each year and for each geographic region to characterize average and low runoff years. Different water availability scenarios were building. One for modal runoff values and another for 95 percents for 2025 also were prepared. To the results call our attention to problems caused by the concentration of high density settlements and the presence of economics sectors in regions with low water availability. The infrastructure lag for management of a scarce high variable and over pressured resources emerges as a key factor to avoid a looming crisis in the process of water management
Wilson, Tamara; Sleeter, Benjamin M.; Cameron, D. Richard
Water shortages in California are a growing concern amidst ongoing drought, earlier spring snowmelt, projected future climate warming, and currently mandated water use restrictions. Increases in population and land use in coming decades will place additional pressure on already limited available water supplies. We used a state-and-transition simulation model to project future changes in developed (municipal and industrial) and agricultural land use to estimate associated water use demand from 2012 to 2062. Under current efficiency rates, total water use was projected to increase 1.8 billion cubic meters(+4.1%) driven primarily by urbanization and shifts to more water intensive crops. Only if currently mandated 25% reductions in municipal water use are continuously implemented would water demand in 2062 balance to water use levels in 2012. This is the first modeling effort of its kind to examine regional land-use related water demand incorporating historical trends of both developed and agricultural land uses.
Rogers, William H.
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.
Suzuki, H; Iyoda, I [Mitsubishi Electric Corp., Tokyo (Japan)
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.
Parajuli, R.; Kalra, A.; Mastino, L.; Velotta, M.; Ahmad, S.
The rise in population and change in climate have posed the uncertainties in the balance between supply and demand of water. The current study deals with the water management issues in Las Vegas Valley (LVV) using Stella, a system dynamics modeling software, to model the feedback based relationship between supply and demand parameters. Population parameters were obtained from Center for Business and Economic Research while historical water demand and conservation practices were modeled as per the information provided by local authorities. The water surface elevation of Lake Mead, which is the prime source of water supply to the region, was modeled as the supply side whereas the water demand in LVV was modeled as the demand side. The study was done from the period of 1989 to 2049 with 1989 to 2012 as the historical one and the period from 2013 to 2049 as the future period. This study utilizes Coupled Model Intercomparison Project data sets (2013-2049) (CMIP3&5) to model different future climatic scenarios. The model simulates the past dynamics of supply and demand, and then forecasts the future water budget for the forecasted future population and future climatic conditions. The results can be utilized by the water authorities in understanding the future water status and hence plan suitable conservation policies to allocate future water budget and achieve sustainable water management.
Hans M. Gregersen; William K. Easter; J. Edward de Steiguer
The nature of the increased needs and demands for water relate to water quantity and quality, bringing in the dimensions of timing and location of water flows. Some key past international activities related to water and watershed policy are reviewed. The common threads that are shaping likely future responses relate to technical vs. institutional means of addressing...
de Kok, T.; Janssen, F.B.S.L.P.
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
Bryan, Brett A; Crossman, Neville D; Nolan, Martin; Li, Jing; Navarro, Javier; Connor, Jeffery D
Competition for land is increasing, and policy needs to ensure the efficient supply of multiple ecosystem services from land systems. We modelled the spatially explicit potential future supply of ecosystem services in Australia's intensive agricultural land in response to carbon markets under four global outlooks from 2013 to 2050. We assessed the productive efficiency of greenhouse gas emissions abatement, agricultural production, water resources, and biodiversity services and compared these to production possibility frontiers (PPFs). While interacting commodity markets and carbon markets produced efficient outcomes for agricultural production and emissions abatement, more efficient outcomes were possible for water resources and biodiversity services due to weak price signals. However, when only two objectives were considered as per typical efficiency assessments, efficiency improvements involved significant unintended trade-offs for the other objectives and incurred substantial opportunity costs. Considering multiple objectives simultaneously enabled the identification of land use arrangements that were efficient over multiple ecosystem services. Efficient land use arrangements could be selected that meet society's preferences for ecosystem service provision from land by adjusting the metric used to combine multiple services. To effectively manage competition for land via land use efficiency, market incentives are needed that effectively price multiple ecosystem services. © 2015 John Wiley & Sons Ltd.
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 ...
Smith, Roderick A.
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
Effective irrigation management is key to obtaining the most crop production per unit of water applied and increasing production in the face of competing demands on water resources. Management methods have included calculating crop water needs based on weather station measurements, calculating soil ...
Full Text Available Sustainable water resource management is constrained by three pervasive myths; that societal and environmental water demands always compete with one another; that technological solutions can solve all water resource management problems...
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
Full Text Available A statistical model has been developed for forecasting domestic water demand in Haihe river basin of China due to population growth, technological advances and climate change. Historical records of domestic water use, climate, population and urbanization are used for the development of model. An ensemble of seven general circulation models (GCMs namely, BCC-CSM1-1, BNU-ESM, CNRM-CM5, GISS-E2-R, MIROC-ESM, PI-ESM-LR, MRI-CGCM3 were used for the projection of climate and the changes in water demand in the Haihe River basin under Representative Concentration Pathways (RCPs 4.5. The results showed that domestic water demand in different sub-basins of the Haihe river basin will gradually increase due to continuous increase of population and rise in temperature. It is projected to increase maximum 136.22 × 108 m3 by GCM BNU-ESM and the minimum 107.25 × 108 m3 by CNRM-CM5 in 2030. In spite of uncertainty in projection, it can be remarked that climate change and population growth would cause increase in water demand and consequently, reduce the gap between water supply and demand, which eventually aggravate the condition of existing water stress in the basin. Water demand management should be emphasized for adaptation to ever increasing water demand and mitigation of the impacts of environmental changes.
Wang, Xiao-Jun; Zhang, Jian-Yun; Shahid, Shamsuddin; Xie, Yu-Xuan; Zhang, Xu
A statistical model has been developed for forecasting domestic water demand in Haihe river basin of China due to population growth, technological advances and climate change. Historical records of domestic water use, climate, population and urbanization are used for the development of model. An ensemble of seven general circulation models (GCMs) namely, BCC-CSM1-1, BNU-ESM, CNRM-CM5, GISS-E2-R, MIROC-ESM, PI-ESM-LR, MRI-CGCM3 were used for the projection of climate and the changes in water demand in the Haihe River basin under Representative Concentration Pathways (RCPs) 4.5. The results showed that domestic water demand in different sub-basins of the Haihe river basin will gradually increase due to continuous increase of population and rise in temperature. It is projected to increase maximum 136.22 × 108 m3 by GCM BNU-ESM and the minimum 107.25 × 108 m3 by CNRM-CM5 in 2030. In spite of uncertainty in projection, it can be remarked that climate change and population growth would cause increase in water demand and consequently, reduce the gap between water supply and demand, which eventually aggravate the condition of existing water stress in the basin. Water demand management should be emphasized for adaptation to ever increasing water demand and mitigation of the impacts of environmental changes.
AADD) in South Africa are based on residential plot size. This paper presents a novel, robust method for estimating suburban water demand as a function of the suburb area. Seventy suburbs, identified as being predominantly residential, were ...
Koutiva, Ifigeneia; Makropoulos, Christos
The urban water system's sustainable evolution requires tools that can analyse and simulate the complete cycle including both physical and cultural environments. One of the main challenges, in this regard, is the design and development of tools that are able to simulate the society's water demand behaviour and the way policy measures affect it. The effects of these policy measures are a function of personal opinions that subsequently lead to the formation of people's attitudes. These attitudes will eventually form behaviours. This work presents the design of an ABM tool for addressing the social dimension of the urban water system. The created tool, called Urban Water Agents' Behaviour (UWAB) model, was implemented, using the NetLogo agent programming language. The main aim of the UWAB model is to capture the effects of policies and environmental pressures to water conservation behaviour of urban households. The model consists of agents representing urban households that are linked to each other creating a social network that influences the water conservation behaviour of its members. Household agents are influenced as well by policies and environmental pressures, such as drought. The UWAB model simulates behaviour resulting in the evolution of water conservation within an urban population. The final outcome of the model is the evolution of the distribution of different conservation levels (no, low, high) to the selected urban population. In addition, UWAB is implemented in combination with an existing urban water management simulation tool, the Urban Water Optioneering Tool (UWOT) in order to create a modelling platform aiming to facilitate an adaptive approach of water resources management. For the purposes of this proposed modelling platform, UWOT is used in a twofold manner: (1) to simulate domestic water demand evolution and (2) to simulate the response of the water system to the domestic water demand evolution. The main advantage of the UWAB - UWOT model
Dyer, Caroline H.; Hammond, Geoffrey P.; Jones, Craig I.; McKenna, Russell C.
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
Perrault, G.A.; Barrett, L.B.
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
Giuliani, M.; Li, Y.; Mainardi, M.; Arias Munoz, C.; Castelletti, A.; Gandolfi, C.
Exponentially growing water demands and increasing uncertainties in the hydrologic cycle due to changes in climate and land use will challenge water resources planning and management in the next decade. Improving agricultural productivity is particularly critical, being this sector the one characterized by the highest water demand. Moreover, to meet projected growth in human population and per-capita food demand, agricultural production will have to significantly increase in the next decades, even though water availability is expected to decrease due to climate change impacts. Agricultural systems are called to adapt their strategies (e.g., changing crop patterns and the corresponding water demand, or maximizing the efficiency in the water supply modifying irrigation scheduling and adopting high efficiency irrigation techniques) in order to re-optimize the use of limited water resources. Although many studies have assessed climate change impacts on agricultural practices and water management, most of them assume few scenarios of water demand or water supply separately, while an analysis of their reciprocal feedbacks is still missing. Moreover, current practices are generally established according to historical agreements and normative constraints and, in the absence of dramatic failures, the shift toward more efficient water management is not easily achievable. In this work, we propose to activate an information loop between farmers and water managers to improve the effectiveness of agricultural water management practices by matching the needs of the farmers with the design of water supply strategies. The proposed approach is tested on a real-world case study, namely the Lake Como serving the Muzza-Bassa Lodigiana irrigation district (Italy). A distributed-parameter, dynamic model of the system allows to simulate crop growth and the final yield over a range of hydro-climatic conditions, irrigation strategies and water-related stresses. The spatial component of the
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.
Giulia Romano; Nicola Salvati; Andrea Guerrini
The aim of this study was to estimate the determinants of residential water demand for chief towns of every Italian province, in the period 2007–2009, using the linear mixed-effects model estimated with the restricted-maximum-likelihood method. Results confirmed that the applied tariff had a negative effect on residential water consumption and that it was a relevant driver of domestic water consumption. Moreover, income per capita had a positive effect on water consumption. Among measured cli...
Moses Amoasi Acquah
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.
Gössling, S.; Peeters, P.M.; Hall, C.M.; Ceron, J.P.; Dubois, G.; Lehmann, L.V.; Scott, D.
This article reviews direct freshwater consumption in tourism from both quantitative and qualitative viewpoints to assess the current water demand of the tourism sector and to identify current and future management challenges. The article concludes that even though tourism increases global water
Garcia, M. E.; Islam, S.; Portney, K. E.
Drought in the Anthropocene is a function of both supply and demand. Despite its importance, demand is typically incorporated into planning models exogenously using a single scenario of demand change over time. Alternatively, demand is incorporated endogenously in hydro-economic models based on the assumption of rationality. However, actors are constrained by limited information and information processing capabilities, casting doubt on the rationality assumption. Though the risk of water shortage changes incrementally with demand growth and hydrologic change, significant shifts in management are punctuated and often linked to periods of stress. The observation of lasting decreases in per capita demands in a number of cities during periods of water stress prompts an alternate hypothesis: the occurrence of water stress increases the tendency of cities to promote and enforce efficient technologies and behaviors and the tendency of users to adopt them. We show the relevance of this hypothesis by building a model of a hypothetical surface water system to answer the following question: what is the impact of reservoir operation policy on the reliability of water supply for a growing city? The model links the rate of demand decreases to the past reliability to compare standard operating policy (SOP) with hedging policy (HP). Under SOP, demand is fulfilled unless available supply drops below demand; under HP, water releases are reduced in anticipation of a deficit to decrease the risk of a large shortfall. The model shows that reservoir storage acts both as a buffer for variability and as a delay triggering oscillations around a sustainable level of demand. HP reduces the threshold for action thereby decreasing the delay and the oscillation effect. As a result per capita demand decrease during periods of water stress are more frequent but less drastic and the additive effect of small adjustments decreases the tendency of the system to overshoot available supplies.
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)
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.
Full Text Available This paper presents the current situation in Polish water resources management. Discussed here are measures taken by the Ministry of Environment to introduce a new water law, as well as reforms of water management in Poland. The state of water resources in Poland are described, and the actions needed to improve this situation, taking into account possible climate changes and their impact on the use of water resources. Critically referred to is the introduction by the Ministry of Environment of charges for water abstraction by hydro power plants, and adverse effects for the energy and water management sectors are discussed.
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...
Providing financial incentives to commuters to use alternative modes is a common element of managing transportation demand. Although these incentives have become common during the past two decades as elements of transportation demand management (TDM)...
Gitsham, Matthew; Clark, Timothy S.
Purpose: This paper aims to contribute to the ongoing debate about the relevance of sustainability in management education through exploration of the needs and expectations of a key group of business schools' stakeholders--senior executives of leading corporations. Design/methodology/approach: The paper presents findings from a survey regarding…
Schechtman, R.; Baum, M.
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
Full Text Available and an evolutionary algorithm is a potential solution to the demand estimation problem. This paper presents a detailed process simulation model for water demand estimation using the particle swarm optimization (PSO) algorithm. Nodal water demands and pipe flows...
Schuetze, Niels; Grießbach, Ulrike Ulrike; Röhm, Patric; Stange, Peter; Wagner, Michael; Seidel, Sabine; Werisch, Stefan; Barfus, Klemens
Due to climate change, extreme weather conditions, such as longer dry spells in the summer months, may have an increasing impact on the agriculture in Saxony (Eastern Germany). For this reason, and, additionally, declining amounts of rainfall during the growing season the use of irrigation will be more important in future in Eastern Germany. To cope with this higher demand of water, a new decision support framework is developed which focuses on an integrated management of both irrigation water supply and demand. For modeling the regional water demand, local (and site-specific) water demand functions are used which are derived from the optimized agronomic response at farms scale. To account for climate variability the agronomic response is represented by stochastic crop water production functions (SCWPF) which provide the estimated yield subject to the minimum amount of irrigation water. These functions take into account the different soil types, crops and stochastically generated climate scenarios. By applying mathematical interpolation and optimization techniques, the SCWPF's are used to compute the water demand considering different constraints, for instance variable and fix costs or the producer price. This generic approach enables the computation for both multiple crops at farm scale as well as of the aggregated response to water pricing at a regional scale for full and deficit irrigation systems. Within the SAPHIR (SAxonian Platform for High Performance Irrigation) project a prototype of a decision support system is developed which helps to evaluate combined water supply and demand management policies for an effective and efficient utilization of water in order to meet future demands. The prototype is implemented as a web-based decision support system and it is based on a service-oriented geo-database architecture.
Montezelli, Juliana Helena; Peres, Aida Maris; Bernardino, Elizabeth
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.
Big, Oovidiu; Li, Hongwei; Svendsen, Svend
between 25% and 35%. By making the light renovation, the heating system needs a minimum supply water temperature of 58ºC in order to cover the thermal comfort. Through extensive renovation, the supply water temperature could be reduced to 50ºC which makes it possible to transform the District Heating...... Temperature into Low Temperature. The building time constant for the extensive renovation is 86 hours which is double than a light building renovation and 53 hours higher than a non-renovated building. In the end of the paper is developed a formula which has the purpose to validate the results of virtual...... simulations. The relative percentage difference between the theoretical calculation and the virtual simulation results are between 2.5% and 17.5%....
Loughborough, K. [Enwave District Energy, Toronto, ON (Canada)
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.
There is a growing need for urban water managers to take a more holistic view of their water resource systems as population growth, urbanization, and current operations put different stresses on the environment and urban infrastructure. Total Water Management (TWM) is an approac...
Menke, Ruben; Abraham, Edo; Parpas, Panos; Stoianov, Ivan
Highlights: • Water distribution systems can profitably provide demand response energy. • STOR and FFR are financially viable under a wide range of operating conditions. • Viability depends on the pump utilisation and peak price of the electricity tariff. • Total GHG emissions caused by the provision of reserve energy are <300 gCO_2/kW h. • These are lower than those from the major reserve energy provision technologies. - Abstract: Significant changes in the power generation mix are posing new challenges for the balancing systems of the grid. Many of these challenges are in the secondary electricity grid regulation services and could be met through demand response (DR) services. We explore the opportunities for a water distribution system (WDS) to provide balancing services with demand response through pump scheduling and evaluate the associated benefits. Using a benchmark network and demand response mechanisms available in the UK, these benefits are assessed in terms of reduced green house gas (GHG) emissions from the grid due to the displacement of more polluting power sources and additional revenues for water utilities. The optimal pump scheduling problem is formulated as a mixed-integer optimisation problem and solved using a branch and bound algorithm. This new formulation finds the optimal level of power capacity to commit to the provision of demand response for a range of reserve energy provision and frequency response schemes offered in the UK. For the first time we show that DR from WDS can offer financial benefits to WDS operators while providing response energy to the grid with less greenhouse gas emissions than competing reserve energy technologies. Using a Monte Carlo simulation based on data from 2014, we demonstrate that the cost of providing the storage energy is less than the financial compensation available for the equivalent energy supply. The GHG emissions from the demand response provision from a WDS are also shown to be smaller than
Mower, Ethan; Miranda, Leandro E.
Managing water storage and withdrawals in many reservoirs requires establishing seasonal targets for water levels (i.e., rule curves) that are influenced by regional precipitation and diverse water demands. Rule curves are established as an attempt to balance various water needs such as flood control, irrigation, and environmental benefits such as fish and wildlife management. The processes and challenges associated with amending rule curves to balance multiuse needs are complicated and mostly unfamiliar to non-US Army Corps of Engineers (USACE) natural resource managers and to the public. To inform natural resource managers and the public we describe the policies and process involved in amending rule curves in USACE reservoirs, including 3 frameworks: a general investigation, a continuing authority program, and the water control plan. Our review suggests that water management in reservoirs can be amended, but generally a multitude of constraints and competing demands must be addressed before such a change can be realized.
Pohle, Ina; Koch, Hagen; Gädeke, Anne; Grünewald, Uwe; Kaltofen, Michael; Redetzky, Michael
In the catchments of the rivers Schwarze Elster, Spree and Lusatian Neisse, hydrologic and socioeconomic systems are coupled via a complex water management system in which water users, reservoirs and water transfers are included. Lignite mining and electricity production are major water users in the region: To allow for open pit lignite mining, ground water is depleted and released into the river system while cooling water is used in the thermal power plants. In order to assess potential climate change impacts on water availability in the catchments as well as on the water demand of the thermal power plants, a climate change impact assessment was performed using the hydrological model SWIM and the long term water management model WBalMo. The potential impacts of climate change were considered by using three regional climate change scenarios of the statistical regional climate model STAR assuming a further temperature increase of 0, 2 or 3 K by the year 2050 in the region respectively. Furthermore, scenarios assuming decreasing mining activities in terms of a decreasing groundwater depression cone, lower mining water discharges, and reduced cooling water demand of the thermal power plants are considered. In the standard version of the WBalMo model cooling water demand is considered as static with regard to climate variables. However, changes in the future cooling water demand over time according to the plans of the local mining and power plant operator are considered. In order to account for climate change impacts on the cooling water demand of the thermal power plants, a dynamical approach for calculating water demand was implemented in WBalMo. As this approach is based on air temperature and air humidity, the projected air temperature and air humidity of the climate scenarios at the locations of the power plants are included in the calculation. Due to increasing temperature and decreasing precipitation declining natural and managed discharges, and hence a lower
Liu, Junguo; Zhao, Dandan; Gerbens-Leenes, P. W.; Guan, Dabo
Demand for hydropower is increasing, yet the water footprints (WFs) of reservoirs and hydropower, and their contributions to water scarcity, are poorly understood. Here, we calculate reservoir WFs (freshwater that evaporates from reservoirs) and hydropower WFs (the WF of hydroelectricity) in China based on data from 875 representative reservoirs (209 with power plants). In 2010, the reservoir WF totaled 27.9 × 109 m3 (Gm3), or 22% of China’s total water consumption. Ignoring the reservoir WF seriously underestimates human water appropriation. The reservoir WF associated with industrial, domestic and agricultural WFs caused water scarcity in 6 of the 10 major Chinese river basins from 2 to 12 months annually. The hydropower WF was 6.6 Gm3 yr−1 or 3.6 m3 of water to produce a GJ (109 J) of electricity. Hydropower is a water intensive energy carrier. As a response to global climate change, the Chinese government has promoted a further increase in hydropower energy by 70% by 2020 compared to 2012. This energy policy imposes pressure on available freshwater resources and increases water scarcity. The water-energy nexus requires strategic and coordinated implementations of hydropower development among geographical regions, as well as trade-off analysis between rising energy demand and water use sustainability. PMID:26158871
De La Torre Ugarte, Daniel G.; He, Lixia; Jensen, Kimberly L.; English, Burton C.
Feedstock production for large scale development of the U.S. ethanol industry and introduction of cellulose-to-ethanol technology will require extensive changes in land use and field management. Hence, this production will likely have significant impact on water demand and quality. This study compares two 'what if' scenarios for attaining a 227.1 hm 3 of ethanol by 2030 and 3.8 hm 3 of biodiesel by 2012. In the first scenario cellulose-to-ethanol technology is introduced in 2012, while in the second scenario the technology is delayed until 2015. Results show that the timing of introduction of cellulose-to-ethanol technology will affect the water use and water quality related input use in primarily in the eastern part of the nation. Results also suggest policy emphasis on reduced and no-till practices needs to be complementary to increased crop residue use. (author)
Ipe, V.C.; Bhagwat, S.B.
Chicago and its suburbs are experiencing an increasing demand for water from a growing population and economy and may experience water scarcity in the near future. The Chicago metropolitan area has nearly depleted its groundwater resources to a point where interstate conflicts with Wisconsin could accompany an increased reliance on those sources. Further, the withdrawals from Lake Michigan is limited by the Supreme Court decree. The growing demand and indications of possible scarcity suggest a need to reexamine the pricing policies and the dynamics of demand. The study analyses the demand for water and develops estimates of scarcity rents for water in Chicago. The price and income elasticities computed at the means are -0.002 and 0.0002 respectively. The estimated scarcity rents ranges from $0.98 to $1.17 per thousand gallons. The results indicate that the current prices do not fully account for the scarcity rents and suggest a current rate with in the range $1.53 to $1.72 per thousand gallons.
This study estimated the correlates of potable water demand among farming households through the use of cross-sectional data collected from 100 households in Abak, Nigeria. Based on the fact that heterogeneity and homogeneity exist within and among the clans and also to ensure equal representation of people from all ...
Bonriposi, M.; Reynard, E.
Crans-Montana-Sierre is an Alpine touristic region located in the driest area of Switzerland (Rhone River Valley, Canton of Valais), with both winter (ski) and summer (e.g. golf) tourist activities. Climate change as well as societal and economic development will in future significantly modify the supply and consumption of water and, consequently, may fuel conflicts of interest. Within the framework of the MontanAqua project (www.montanaqua.ch), we are researching more sustainable water management options based on the co-ordination and adaptation of water demand to water availability under changing biophysical and socioeconomic conditions. This work intends to quantify current water uses in the area and consider future scenarios (around 2050). We have focused upon the temporal and spatial characteristics of resource demand, in order to estimate the spatial footprint of water use (drinking water, hydropower production, irrigation and artificial snowmaking), in terms of system, infrastructure, and organisation of supply. We have then quantified these as precisely as possible (at the monthly temporal scale and at the municipality spatial scale). When the quantity of water was not measurable for practical reasons or for lack of data, as for the case for irrigation or snowmaking, an alternative approach was applied. Instead of quantifying how much water was used, the stress was put on the water needs for irrigating agricultural land or on the optimal meteorological conditions necessary to produce artificial snow. A huge summer peak and a smaller winter peak characterize the current regional water consumption estimation. The summer peak is mainly caused by irrigation and secondly by drinking water demand. The winter peak is essentially due to drinking water and snowmaking. Other consumption peaks exist at the municipality scale but they cannot be observed at the regional scale. The results show a major variation in water demand between the 11 concerned municipalities and
Ponnaganti, Pavani; Bak-Jensen, Birgitte; Pillai, Jayakrishnan Radhakrishna
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...
B. M. Brentan
Full Text Available Operational and economic aspects of water distribution make water demand forecasting paramount for water distribution systems (WDSs management. However, water demand introduces high levels of uncertainty in WDS hydraulic models. As a result, there is growing interest in developing accurate methodologies for water demand forecasting. Several mathematical models can serve this purpose. One crucial aspect is the use of suitable predictive variables. The most used predictive variables involve weather and social aspects. To improve the interrelation knowledge between water demand and various predictive variables, this study applies three algorithms, namely, classical Principal Component Analysis (PCA and machine learning powerful algorithms such as Self-Organizing Maps (SOMs and Random Forest (RF. We show that these last algorithms help corroborate the results found by PCA, while they are able to unveil hidden features for PCA, due to their ability to cope with nonlinearities. This paper presents a correlation study of three district metered areas (DMAs from Franca, a Brazilian city, exploring weather and social variables to improve the knowledge of residential demand for water. For the three DMAs, temperature, relative humidity, and hour of the day appear to be the most important predictive variables to build an accurate regression model.
Yasser A. Davizón
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.
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
Khadse, G K; Labhasetwar, P K; Wate, S R
Water is precious natural resource for sustaining life and environment. Effective and sustainable management of water resources is vital for ensuring sustainable development. In view of the vital importance of water for human and animal life, for maintaining ecological balance and for economic and developmental activities of all kinds, and considering its increasing scarcity, the planning and management of water resource and its optimal, economical and equitable use has become a matter of the utmost urgency. Management of water resources in India is of paramount importance to sustain one billion plus population. Water management is a composite area with linkage to various sectors of Indian economy including the agricultural, industrial, domestic and household, power, environment, fisheries and transportation sector. The water resources management practices should be based on increasing the water supply and managing the water demand under the stressed water availability conditions. For maintaining the quality of freshwater, water quality management strategies are required to be evolved and implemented. Decision support systems are required to be developed for planning and management of the water resources project. There is interplay of various factors that govern access and utilization of water resources and in light of the increasing demand for water it becomes important to look for holistic and people-centered approaches for water management. Clearly, drinking water is too fundamental and serious an issue to be left to one institution alone. It needs the combined initiative and action of all, if at all we are serious in socioeconomic development. Safe drinking water can be assured, provided we set our mind to address it. The present article deals with the review of various options for sustainable water resource management in India.
There is reason to be concerned that water resources on the Canadian Prairies could be at considerable risk due to climatic change. The Canadian Prairies frequently experience variations in the climate, which can reduce crop production by 25-50% and annual volumetric river flows by 70-90%. The potential impacts of climatic change on the Prairies are discussed. Consumptive water uses on the Prairies are dominated by irrigation and the water demands arising from thermal power generation. The overall effect of climatic change on water supplies will depend on the ways in which the various components of the hydrological cycle are affected. At the present time it is unsure whether complementary equations are more realistic in estimating evaporation than mass balance techniques. There is a need to obtain good baseline data which will allow the unequivocal resolution of the most accurate technique for estimating evaporation on the Prairies. Climate change could lead to a decrease in spring runoff, and would also lead to earlier snowmelt and peak flows. This could lead to a longer period of low flows during the summer and fall and a further drawdown of moisture reserves. Some appropriate strategies for adapting to climate change would be: encouraging water conservation; reductions in agricultural water use by developing/utilizing strains of plants with lower water demand; controlling new water developments; and enhancing on-farm retention. 10 refs
Ho, M. W.; Devineni, N.; Cook, E. R.; Lall, U.
As populations and associated economic activity in the US evolve, regional demands for water likewise change. For regions dependent on surface water, dams and reservoirs are critical to storing and managing releases of water and regulating the temporal and spatial availability of water in order to meet these demands. Storage capacities typically range from seasonal storage in the east to multi-annual and decadal-scale storage in the drier west. However, most dams in the US were designed with limited knowledge regarding the range, frequency, and persistence of hydroclimatic extremes. Demands for water supplied by these dams have likewise changed. Furthermore, many dams in the US are now reaching or have already exceeded their economic design life. The converging issues of aging dams, improved knowledge of hydroclimatic variability, and evolving demands for dam services result in a pressing need to evaluate existing reservoir capacities with respect to contemporary water demands, long term hydroclimatic variability, and service reliability into the future. Such an effort is possible given the recent development of two datasets that respectively address hydroclimatic variability in the conterminous United States over the past 555 years and human water demand related water stress over the same region. The first data set is a paleoclimate reconstruction of streamflow variability across the CONUS region based on a tree-ring informed reconstruction of the Palmer Drought Severity Index. This streamflow reconstruction suggested that wet spells with shorter drier spells were a key feature of 20th century streamflow compared with the preceding 450 years. The second data set in an annual cumulative drought index that is a measure of water balance based on water supplied through precipitation and water demands based on evaporative demands, agricultural, urban, and industrial demands. This index identified urban and regional hotspots that were particularly dependent on water
Nielsen, D.R.; Cassel, D.K.
The use of radiation and tracer techniques in investigations into soil water management in agriculture, hydrology etc. is described. These techniques include 1) neutron moisture gauges to monitor soil water content and soil water properties, 2) gamma radiation attenuation for measuring the total density of soil and soil water content, 3) beta radiation attenuation for measuring changes in the water status of crop plants and 4) radioactive and stable tracers for identifying pathways, reactions and retention times of the constituents in soils and groundwater aquifers. The number and spacing of soil observations that should be taken to represent the management unit are also considered. (U.K.)
Storm, Hugo; Heckelei, Thomas; Heidecke, Claudia
Irrigation water management is crucial for agricultural production and livelihood security in Morocco as in many other parts of the world. For the implementation of an effective water management, knowledge about farmers' demand for irrigation water is crucial to assess reactions to water pricing policy, to establish a cost-benefit analysis of water supply investments or to determine the optimal water allocation between different users. Previously used econometric methods providing this information often have prohibitive data requirements. In this paper, the Contingent Valuation Method (CVM) is adjusted to derive a demand function for irrigation water along farmers' willingness to pay for one additional unit of surface water or groundwater. An application in the Middle Drâa Valley in Morocco shows that the method provides reasonable results in an environment with limited data availability. For analysing the censored survey data, the Least Absolute Deviation estimator was found to be a more suitable alternative to the Tobit model as errors are heteroscedastic and non-normally distributed. The adjusted CVM to derive demand functions is especially attractive for water scarce countries under limited data availability. Copyright © 2011 Elsevier Ltd. All rights reserved.
Full Text Available While many water management tools exist, these systems are not usually interconnected and therefore cannot communicate between one another, preventing Integrated Water Resources Management to be fully achieved. This paper presents the solution proposed by WatERP project* where a novel solution enables better matching between water supply and demand from holistic perspective. Subsystems that control the production, management and consumption of water will be interconnected through both information architecture and intelligent infrastructure. The main outcome will consist of, a web-based Open Management Platform integrating near real-time knowledge on water supplies and demand, from sources to users, across geographic and organizational scales and supported by a knowledge base where information will be structured in water management ontology to ensure interoperability and maximize usability. WatERP will thus provide a major contribution to: 1 Improve coordination among actors, 2 Foster behavioural change, 3 Reduce water and energy consumption, 4 Optimize water accountability.
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.
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)
CHEIFETZ , Nicolas; Noumir , Zineb; Same , Allou; SANDRAZ , Anne-Claire; FELIERS , Cédric; HEIM , Véronique
Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, manage billing and propose new customer services. With the emergence of smart grids, based on automated meter reading (AMR), a better understanding of the consumption modes is now accessible for smart cities with more granularities. In this context, this paper evaluates a novel methodology for identif...
The provision of communal water and sanitation facilities has been mandated by the South African Government as an interim measure for informal settlement upgrading. These services form the first step in the upgrading process and are essential in meeting the basic needs of the community. The eThekwini municipality is ...
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
Hoogsteen, Gerwin; van der Klauw, Thijs; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria; Feng, Xianyong; Hebner, Robert E.
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.
Demchenko, Y.; de Laat, C.; Lopez, D.R.; García-Espín, J.A.; Qiu, J.; Zhao, G.; Rong, C.
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
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
van der Klauw, Thijs; Gerards, Marco Egbertus Theodorus; Hurink, Johann L.
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
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
Bowden, L. W.; Estes, J. E.; Churchman, C. W.; Johnson, C. W.; Huning, J. R.; Rozelle, K.; Hamilton, J.; Washburn, G.; Tinney, L. R.; Thaman, R. R.
The areas of focus of the Santa Barbara and Riverside groups in conducting water demand studies are the central and southern California regional test sites, respectively. Within each test site, sub-areas have been selected for use in the making of detailed investigations. Within each of these sub-areas an in-depth evaluation is being made as to the capability of remote sensing systems to provide pertinent data relative to water demand phenomena. These more limited sub-areas are: (1) Kern County and the San Joaquin Basin; (2) Chino-Riverside Basin; and (3) the Imperial Valley. Rational for the selection of these subareas included the following: Much of the previous remote sensing research had been conducted in these areas and therefore a great deal of remote sensing imagery and pertinent ground truth for the areas was already available.
Full Text Available Drylands regions of the world face difficult issues in maintaining water resources to meet current demands which will intensify in the future with population increases, infrastructure development, increased agricultural water demands, and climate change impacts on the hydrologic system. New water resources evaluation and management methods will be needed to assure that water resources in drylands are optimally managed in a sustainable manner. Development of water management and conservation methods is a multi-disciplinary endeavor. Scientists and engineers must collaborate and cooperate with water managers, planners, and politicians to successfully adopt new strategies to manage water not only for humans, but to maintain all aspects of the environment. This particularly applies to drylands regions where resources are already limited and conflicts over water are occurring. Every aspect of the hydrologic cycle needs to be assessed to be able to quantify the available water resources, to monitor natural and anthropogenic changes, and to develop flexible policies and management strategies that can change as conditions dictate. Optimal, sustainable water management is achieved by cooperation and not conflict, thereby necessitating the need for high quality scientific research and input into the process.
Diao, Ruisheng; Lu, Shuai; Elizondo, Marcelo A.; Mayhorn, Ebony T.; Zhang, Yu; Samaan, Nader A.
Abstract— Demand response (DR) has a great potential to provide balancing services at normal operating conditions and emergency support when a power system is subject to disturbances. Effective control strategies can significantly relieve the balancing burden of conventional generators and reduce investment on generation and transmission expansion. This paper is aimed at modeling electric water heaters (EWH) in households and tests their response to control strategies to implement DR. The open-loop response of EWH to a centralized signal is studied by adjusting temperature settings to provide regulation services; and two types of decentralized controllers are tested to provide frequency support following generator trips. EWH models are included in a simulation platform in DIgSILENT to perform electromechanical simulation, which contains 147 households in a distribution feeder. Simulation results show the dependence of EWH response on water heater usage . These results provide insight suggestions on the need of control strategies to achieve better performance for demand response implementation. Index Terms— Centralized control, decentralized control, demand response, electrical water heater, smart grid
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
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
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
Alexander May; Adrian Anslow; Udechukwu Ojiako; Yue Wu; Alasdair Marshall; Maxwell Chipulu
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 ...
Angulo, Ana; Atwi, Majed; Barberán, Ramón; Mur, Jesús
Despite the growing economic importance of tourism, and its impact on relative water shortage, little is known about the role that water plays in the productive process of hotels and restaurants and, therefore, the possible implications of water demand management policy for this sector. This study aims to fill this gap. It is based on the microdata of 676 firms in the sector, operating in the city of Zaragoza (Spain) for a 12 year period. Based on the Translog cost function, we estimate the shadow price of water in the short run and, from a long-run perspective, its direct price elasticity, its cross elasticities relative to labor, capital, and supplies, and its elasticity with respect to the level of output. The results obtained show that water provides sector firms returns that are on average higher than its price, although in the case of hotels the margin is really narrow. This situation provides policy makers with a margin for applying price increases without affecting the sector's viability, with some caution in the case of hotels. Water demand elasticity equals -0.38 in the case of hotels, but it is not significant in the case of restaurants and bar-cafes; hence, only in hotels is there potential for influencing water use patterns, encouraging the resource's conservation through pricing policy. Moreover, capital is a substitutive factor of water, and the elasticity of water with respect to output is 0.40, all of which should also be considered by policy makers in water resource management.
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
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.
Desalination is no longer considered as a nonconventional resource to supply potable water in several countries, especially in the Gulf Corporation Countries (GCC) and Middle East and North Africa (MENA) region as most of the big cities rely almost 100% on desalinated water for their supply. Due to the continuous increase in water demand, more large-scale plants are expected to be constructed in the region. However, most of the large cities in these countries have very limited water storage capacity, ranging from hours to a few days only and their groundwater capacity is very limited. The growing need for fresh water has led to significant cost reduction, because of technological improvements of desalination technologies which makes it an attractive option for water supply even in countries where desalination was unthinkable in the past. In the GCC/MENA region, operating records show that water demand is relatively constant during the year, while power demand varies considerably with a high peak in the summer season. However, desalination and power plants are economically and technically efficient only if they are fully operated at close to full capacity. In addition, desalination plants are exposed to external constraints leading to unexpected shutdowns (e.g. red tides). Hybridization of different technologies, including reverse osmosis and thermal-based plants, is used to balance the power to water mismatch in the demand by using the idle power from co-generation systems during low power demand periods. This has led to consideration of storage of additional desalinated water to allow for maximum production and stability in operation. Aquifer storage and recovery (ASR) would then be a good option to store the surplus of desalinated water which could be used when water demand is high or during unexpected shutdowns of desalination plants. In addition, increased reuse of treated wastewater could bring an integrated approach to water resources management. In this
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.
Maria Angeles Fernández-Zamudio
Full Text Available Olive, vine and almond in rainfed farming systems are the most traditional crops in the large inland extensions of the Spanish Mediterranean. Their economic contributions enable farming activities to be maintained meaning that the villages remain inhabited. In the rainfed-farms in the Mediterranean regions it is possible to find only a certain proportion of the farms with some type of irrigation system. Given the water scarcity, the aim of this work is to determine the impact that an irrigationwater pricing policy would have on these regions, as outlined in the European Water Framework Directive. After analysing the direct effect water price would have on the net margin in these crops, demand functions have been obtained, applying the Multiattribute Utility Theory. The calculations, with reference to a farm that is representative of these regions, have been applied to two model scenarios, each with a different level of mechanization. Results show the impact on economic, social and environmental aspects of the pricing policy under the current water allotment. The work is completed by analysing the different contexts of irrigation-water availability on the farm. The study leads to the conclusion that increasing mechanization may be the most straightforward strategy to ensure the survival of these farms in the short to medium term if the current trend of increasing irrigation-water prices is consolidated.
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
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 . While later forecasts reduced the predicted amount to about 20-30 billion devices , 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 . 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.
Irrigation water management has to do with the appropriate application of water to soils, in terms of amounts, rates, and timing to satisfy crop water demands while protecting the soil and water resources from degradation. Accurate irrigation management is even more important in salt affected soils ...
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
Hellegers, P.J.G.J.; Immerzeel, W.; Droogers, P.
In Middle East and North Africa (MENA) countries, renewable groundwater and surface water supply are limited while demand for water is growing rapidly. Climate change is expected to increase water demand even further. The main aim of this paper is to evaluate the water supply–demand imbalances in
Pieterse-Quirijns, I.; Blokker, E.J.M.; van der Blom, E.C.; Vreeburg, J.H.G.
Existing Dutch guidelines for the design of the drinking water and hot water system of nonresidential buildings are based on outdated assumptions on peak water demand or on unfounded assumptions on hot water demand. They generally overestimate peak demand values required for the design of an
Yan, Xuesong; Zhu, Zhixin; Li, Tian
Urban water supply networks are susceptible to intentional, accidental chemical, and biological pollution, which pose a threat to the health of consumers. In recent years, drinking-water pollution incidents have occurred frequently, seriously endangering social stability and security. The real-time monitoring for water quality can be effectively implemented by placing sensors in the water supply network. However, locating the source of pollution through the data detection obtained by water quality sensors is a challenging problem. The difficulty lies in the limited number of sensors, large number of water supply network nodes, and dynamic user demand for water, which leads the pollution source localization problem to an uncertainty, large-scale, and dynamic optimization problem. In this paper, we mainly study the dynamics of the pollution source localization problem. Previous studies of pollution source localization assume that hydraulic inputs (e.g., water demand of consumers) are known. However, because of the inherent variability of urban water demand, the problem is essentially a fluctuating dynamic problem of consumer's water demand. In this paper, the water demand is considered to be stochastic in nature and can be described using Gaussian model or autoregressive model. On this basis, an optimization algorithm is proposed based on these two dynamic water demand change models to locate the pollution source. The objective of the proposed algorithm is to find the locations and concentrations of pollution sources that meet the minimum between the analogue and detection values of the sensor. Simulation experiments were conducted using two different sizes of urban water supply network data, and the experimental results were compared with those of the standard genetic algorithm.
Full Text Available This paper investigates how to develop a learning-based demand response approach for electric water heater in a smart home that can minimize the energy cost of the water heater while meeting the comfort requirements of energy consumers. First, a learning-based, data-driven model of an electric water heater is developed by using a nonlinear autoregressive network with external input (NARX using neural network. The model is updated daily so that it can more accurately capture the actual thermal dynamic characteristics of the water heater especially in real-life conditions. Then, an optimization problem, based on the NARX water heater model, is formulated to optimize energy management of the water heater in a day-ahead, dynamic electricity price framework. A genetic algorithm is proposed in order to solve the optimization problem more efficiently. MATLAB (R2016a is used to evaluate the proposed learning-based demand response approach through a computational experiment strategy. The proposed approach is compared with conventional method for operation of an electric water heater. Cost saving and benefits of the proposed water heater energy management strategy are explored.
Marisa Soares Borges
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.
Md Mahmudul Haque; Prasanna Egodawatta; Ataur Rahman; Ashantha Goonetilleke
Ensuring adequate water supply to urban areas is a challenging task due to factors such as rapid urban growth, increasing water demand and climate change. In developing a sustainable water supply system, it is important to identify the dominant water demand factors for any given water supply scheme. This paper applies principal components analysis to identify the factors that dominate residential water demand using the Blue Mountains Water Supply System in Australia as a case study. The resul...
Chang, Ni-Bin; Qi, Cheng; Yang, Y Jeffrey
Urban water infrastructure expansion requires careful long-term planning to reduce the risk from climate change during periods of both economic boom and recession. As part of the adaptation management strategies, capacity expansion in concert with other management alternatives responding to the population dynamics, ecological conservation, and water management policies should be systematically examined to balance the water supply and demand temporally and spatially with different scales. To mitigate the climate change impact, this practical implementation often requires a multiobjective decision analysis that introduces economic efficiencies and carbon-footprint matrices simultaneously. The optimal expansion strategies for a typical water infrastructure system in South Florida demonstrate the essence of the new philosophy. Within our case study, the multiobjective modeling framework uniquely features an integrated evaluation of transboundary surface and groundwater resources and quantitatively assesses the interdependencies among drinking water supply, wastewater reuse, and irrigation water permit transfer as the management options expand throughout varying dimensions. With the aid of a multistage planning methodology over the partitioned time horizon, such a systems analysis has resulted in a full-scale screening and sequencing of multiple competing objectives across a suite of management strategies. These strategies that prioritize 20 options provide a possible expansion schedule over the next 20 years that improve water infrastructure resilience and at low life-cycle costs. The proposed method is transformative to other applications of similar water infrastructure systems elsewhere in the world. Copyright © 2012 Elsevier Ltd. All rights reserved.
A summary is presented of the issues discussed, and the conclusions and recommendations of a working group on water resources, supply and demand. The issues were grouped into the categories of detecting climatic change and water impacts, simulating potential impacts, and responding to potential impacts. The workshop groups achieved consensus on the following points: the physics of global warming and climatic change have been satifactorily proven; there appears to be some evidence of climatic change and a signal could soon be detected; policy decisions and strategic plans for climatic change and its potential impacts are needed immediately; and targets and priorities for decison making should be identified and addressed immediately. Three top-priority issues are the identification of indicators for the detection of climatic change impacts on hydrology, determining response to climate-related change, and evaluation of design criteria. Better information on regional climate and hydrology under conditions of global warming is needed before design criteria could be altered
Full Text Available Introduction: Accurate water demand modeling for the city is very important for forecasting and policies adoption related to water resources management. Thus, for future requirements of water estimation, forecasting and modeling, it is important to utilize models with little errors. Water has a special place among the basic human needs, because it not hampers human life. The importance of the issue of water management in the extraction and consumption, it is necessary as a basic need. Municipal water applications is include a variety of water demand for domestic, public, industrial and commercial. Predicting the impact of urban water demand in better planning of water resources in arid and semiarid regions are faced with water restrictions. Materials and Methods: One of the most important factors affecting the changing technological advances in production and demand functions, we must pay special attention to the layout pattern. Technology development is concerned not only technically, but also other aspects such as personal, non-economic factors (population, geographical and social factors can be analyzed. Model examined in this study, a regression model is composed of a series of structural components over time allows changed invisible accidentally. Explanatory variables technology (both crystalline and amorphous in a model according to which the material is said to be better, but because of the lack of measured variables over time can not be entered in the template. Model examined in this study, a regression model is composed of a series of structural component invisible accidentally changed over time allows. In this study, structural time series (STSM and ARMA time series models have been used to model and estimate the water demand in Isfahan. Moreover, in order to find the efficient procedure, both models have been compared to each other. The desired data in this research include water consumption in Isfahan, water price and the monthly pay
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)
Mazzanti, Massimiliano; Montini, Anna
This paper presents empirical evidence on the determinants of water demand for domestic use in one Italian region, the Emilia Romagna, by using municipal data. Two main stems in urban/domestic demand analysis cab be found in the empirical literature. The first deals with the estimation of price or income demand elasticities in the short and the long run. The price demand elasticities can be used for water demand managements purpose while the income price elasticities can be useful in the forecasting process of the water requirements. The second one deals with the estimate of customer willingness to pay increasing in water service quality in holistic sense or concerning single characteristics of the service: safety, flavour, continuity, appearance, pollution rate and cost. The aim of the analysis in this case the elicitation of the direct use, indirect use and non-use values associated to the water resource consumption, by means of direct or indirect techniques. In this paper we focused the analysis in the first stem of the empirical literature in which a cross section data set is required. The paper explores the topic problems of the estimating process whit the analysis of the empirical literature (with particular regard to investigations that use municipal data) and with the analysis of the econometric problems related to the demand estimate. The theoretical model for the water demand analysis is also presented and discussed. Two datasets have been implemented: one with 125 municipalities and four years, the other with 40 municipalities and eleven years. Both the databases bring together municipal water consumption and tariffs data provided by local water utilities and other municipal data (inhabitants, surface, household, income, etc.) stemming from official sources. The econometric analysis is based on both fixed effects, performing better than random effects models, and dynamic panel models. The estimated coefficient of the tariff variable arises always
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.
Mankin, Justin S.; Viviroli, Daniel; Singh, Deepti; Hoekstra, Arjen Y.; Diffenbaugh, Noah S.
Runoff from snowmelt is regarded as a vital water source for people and ecosystems throughout the Northern Hemisphere (NH). Numerous studies point to the threat global warming poses to the timing and magnitude of snow accumulation and melt. But analyses focused on snow supply do not show where changes to snowmelt runoff are likely to present the most pressing adaptation challenges, given sub-annual patterns of human water consumption and water availability from rainfall. We identify the NH basins where present spring and summer snowmelt has the greatest potential to supply the human water demand that would otherwise be unmet by instantaneous rainfall runoff. Using a multi-model ensemble of climate change projections, we find that these basins - which together have a present population of approx. 2 billion people - are exposed to a 67% risk of decreased snow supply this coming century. Further, in the multi-model mean, 68 basins (with a present population of more than 300 million people) transition from having sufficient rainfall runoff to meet all present human water demand to having insufficient rainfall runoff. However, internal climate variability creates irreducible uncertainty in the projected future trends in snow resource potential, with about 90% of snow-sensitive basins showing potential for either increases or decreases over the near-term decades. Our results emphasize the importance of snow for fulfilling human water demand in many NH basins, and highlight the need to account for the full range of internal climate variability in developing robust climate risk management decisions.
Heussen, Kai; You, Shi; Biegel, Benjamin
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....
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
Hall, D.C.; Sandii Win, M.; Hall, J.V.
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)
Lowry, T. S.
The supply and demand of water resources are functions of complex, inter-related systems including hydrology, climate, demographics, economics, and policy. To assess the safety and sustainability of water resources, planners often rely on complex numerical models that relate some or all of these systems using mathematical abstractions. The accuracy of these models relies on how well the abstractions capture the true nature of the systems interactions. Typically, these abstractions are based on analyses of observations and/or experiments that account only for the statistical mean behavior of each system. This limits the approach in two important ways: 1) It cannot capture cross-system disruptive events, such as major drought, significant policy change, or terrorist attack, and 2) it cannot resolve sub-system level responses. To overcome these limitations, we are developing an agent-based water resources model that includes the systems of hydrology, climate, demographics, economics, and policy, to examine water demand during normal and extraordinary conditions. Agent-based modeling (ABM) develops functional relationships between systems by modeling the interaction between individuals (agents), who behave according to a probabilistic set of rules. ABM is a "bottom-up" modeling approach in that it defines macro-system behavior by modeling the micro-behavior of individual agents. While each agent's behavior is often simple and predictable, the aggregate behavior of all agents in each system can be complex, unpredictable, and different than behaviors observed in mean-behavior models. Furthermore, the ABM approach creates a virtual laboratory where the effects of policy changes and/or extraordinary events can be simulated. Our model, which is based on the demographics and hydrology of the Middle Rio Grande Basin in the state of New Mexico, includes agent groups of residential, agricultural, and industrial users. Each agent within each group determines its water usage
Charles van der Vyver
Full Text Available Water management has been carried out for many centuries wherever there has been a need to provide water to large numbers of people. Complex social norms have developed around water management and competing users have established political (governance and economic cooperative relationships. For example, community-managed irrigation schemes in Bali and the cloud-collection canals built by the Incas at Inca Pirca in Peru are examples of water management systems which still currently supply water to people (Sullivan et al., 2005. Water resources will steadily decline because of population growth, pollution and expected climate change (Hemson et al., 2008. It has been estimated that the global demand for water doubles approximately every two decades (Meyer, 2007 and that water will even become as expensive as oil in the future (Holland, 2005. “In the year 2000, global water use was twice as high as it was in 1960” (Clarke and King, 2004:19. Unfortunately this trend is expected to continue. The aim of this paper is to describe how water poverty mapping as a process can be used to assist the management of our already scarce water resources. It constructs a water poverty map after which it describes its application at various management levels. The research indicates that the mapping process can be used to obtain more accurate predictions, as well as to form part of the master plan and integrated development plan documents. Keywords: Water management, water poverty mapping Disciplines: Water management, geographical information systems (GIS, poverty studies, decision support
Irrigation water management has to do with the appropriate application of water to soils, in terms of amounts, rates, and timing to satisfy crop water demands while protecting the soil and water resources from degradation. In this regard, sensors can be used to monitor the soil water status; and som...
Wood, Michael; Alsayegh, Osamah A.
This paper describes the influences of oil revenue and government's policies toward economic developments and energy efficiency on the electricity and water demands. A Kuwait-specific electricity and water demand model was developed based on historic data of oil income, gross domestic product (GDP), population and electric load and water demand over the past twelve years (1998–2010). Moreover, the model took into account the future mega projects, annual new connected loads and expected application of energy conservation programs. It was run under six circumstances representing the combinations of three oil income scenarios and two government action policies toward economic diversification and energy conservation. The first government policy is the status quo with respect to economic diversification and applying energy conservation programs. The second policy scenario is the proactive strategy of raising the production of the non-oil sector revenue and enforcing legislations toward energy demand side management and conservation. In the upcoming 20 years, the average rates of change of the electric load and water demand increase are 0.13 GW and 3.0 MIGD, respectively, per US dollar oil price increase. Moreover, through proactive policy, the rates of average load and water demand decrease are 0.13 GW and 2.9 MIGD per year, respectively. - Highlights: • Kuwait-specific electricity and water demand model is presented. • Strong association between oil income and electricity and water demands. • Rate of change of electric load per US dollar oil price change is 0.13 GW. • Rate of change of water demand per US dollar oil price change is 3.0 MIGD. • By 2030, efficiency lowers electric load and water demand by 10 and 6%, respectively
Ground water play a major role in national economy and sustenance of life and environment. Prevalent water crisis in India includes falling water table, water quality deterioration, water logging and salinity. Keeping in view the increasing thrust on groundwater resources and the present scenario of availability vis-a vis demand there is a need to reorient our approach to ground water management. The various ground water management options require proper understanding of ground water flow system. Isotopes are increasingly being applied in hydrogeological investigations as a supplementary tool for assessment of aquifer flow and transport characteristics. Isotope techniques coupled with conventional hydrogeological and hydrochemical methods can bring in greater accuracy in the conceptualization of hydrogeological control mechanism. The use of isotope techniques in following areas can certainly be of immense help in implementing various ground water management options in an efficient manner. viz.Interaction between the surface water - groundwater systems to plan conjunctive use of surface and ground water. Establishing hydraulic interconnections between the aquifers in a multi aquifer system. Depth of circulation of water and dating of ground water. Demarcating ground water recharge and discharge areas. Plan ground water development in coastal aquifers to avoid sea water ingress. Development of flood plain aquifer. (author)
Gonzales, P.; Ajami, N.
There is growing recognition that dynamic community values, preferences, and water use behaviors are important drivers of water demand in addition to external factors such as temperature and precipitation. Water demand drivers have been extensively studied, yet they have traditionally been applied to models that assume static conditions and usually do not account for potential societal changes in response to increased scarcity awareness. For example, following a period of sustained low demand such as during a drought, communities often increase water use during a hydrologically wet period, a phenomenon known as "rebounding" water use. Yet previous experiences show the extent of this rebound is not a straightforward function of policy and efficiency improvements, but may also reflect short-term or long-lasting change in community behavior, which are not easily captured by models that assume stationarity. In this study we explore cycles of decreased water demand during drought and subsequent water use rebound observed in California in recent decades. We have developed a novel dynamic system model for water demand in three diverse but interconnected service areas in the San Francisco Bay Area, exposing local trends of changing water use behaviors and long-term impacts on water demand since 1980 to the present. In this model, we apply the concept of social memory, defined as a community's inherited knowledge about hazardous events or degraded environmental conditions from past experiences. While this concept has been applied to further conceptual understanding of socio-hydrologic systems in response to hydrological extremes, to the best of our knowledge this the first study to incorporate social memory to model the water demand rebound phenomenon and to use such a model in the examination of changing dynamics validated by historical data. In addition, we take a closer look at water demand during the recent historic drought in California from 2012-16, and relate our
Davidson, Brian; Hellegers, Petra
SummaryAs irrigation water is an input into a production process, its demand must be 'derived'. According to theory, a derived demand schedule should be downward sloping and dependent on the outputs produced from it, the prices of other inputs and the price of the water itself. Problems arise when an attempt is made to estimate the demand for irrigation water and the resulting own-price elasticity of demand, as the uses to which water is put are spatially, temporarily and geographically diverse. Because water is not generally freely traded, what normally passes for an estimate of the own-price elasticity of demand for irrigation water is usually a well argued assumption or an estimate that is derived from a simulation model of a hypothesized producer. Such approaches tend to provide an inadequate explanation of what is an extremely complex and important relationship. An adequate explanation of the relationship between the price and the quantity demanded of water should be one that not only accords with the theoretical expectations, but also accounts for the diversity of products produced from water (which includes the management practices of farmers), the seasons in which it is used and over the region within which it is used. The objective in this article is to present a method of estimating the demand curve for irrigation water. The method uses actual field data which is collated using the Residual Method to determine the value of the marginal product of water deployed over a wide range of crops, seasons and regions. These values of the marginal products, all which must lie of the input demand schedule for water, are then ordered from the highest value to the lowest. Then, the amount of irrigation water used for each product, in each season and in each region is cumulatively summed over the range of uses according to the order of the values of the marginal products. This data, once ordered, is then used to econometrically estimate the demand schedule from which
Seo, Jung Hwan [Korea Energy Economics Institute, Euiwang (Korea)
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.
Full Text Available Water resources manageWith the mission of providing reliable data for water supply activities in medium and large firefighting operations, the Firefighting Water Supply Tactical Group (GTSAI represents an important sector of the Rio de Janeiro State Fire Departmentment plan strategic support. Acting proactively, the Tactical Group prepared a Water Resources Management Plan, aiming to set up water resources for each jurisdiction of firefighters in the City of Rio de Janeiro, in order to assist the Fire Department in its missions. This goal was reached, and in association with LAGEOP (Geoprocessing Laboratory, UFRJ, the Tactical Group started using GIS techniques. The plan provides for the register of existing operational structures within each group (troops, vehicles and special equipment, along with knowledge about the nature and operating conditions of fire hydrants, as well as a detailed survey of areas considered to be "critical". The survey helps to support actions related to environmental disasters involved in the aforementioned critical areas (hospital, churches, schools, and chemical industries, among others. The Caju neighborhood, in Rio de Janeiro, was defined as initial application area, and was the first jurisdiction to have the system implemented, followed by Copacabana, Leblon, Lagoa, and Catete districts.
Kunnumpurath, Sreekumar; Julien, Natasha; Kodumudi, Gopal; Kunnumpurath, Anamika; Kodumudi, Vijay; Vadivelu, Nalini
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.
This project identifies and evaluatesstrategies to reduce the social costs associated with goods movement in urban areas by managing : transportation demand. Information about various freight transportation demand management (TDM) strategies was gath...
In arid regions, the challenge of balancing water use among a diversity of sectors expands in lock step with conditions of water stress that are exacerbated by climate variability, prolonged drought, and growing water-use demands. The elusiveness of achieving a sustainable balance under conditions of environmental change in the southwestern United States is evidenced by reductions in both overall water availability and freshwater ecosystem health, as well as by recent projections of shortages on the Colorado River within the next five years. The water sustainability challenge in this region, as well as drylands throughout the world, can therefore be viewed through the lens of water stress, a condition wherein demands on land and water -- including the needs of freshwater ecosystems -- exceed reliable supplies, and the full range of water needs cannot be met without tradeoffs across multiple uses. Water stress influences not only ecosystems, but a region's economy, land management, quality of life, and cultural heritage -- each of which requires water to thrive. With respect to promoting successful adaptation to climate change, achieving full water sustainability would allow for water to be successfully divided among water users -- including municipalities, agriculture, and freshwater ecosystems -- at a level that meets the goals of water users and the governing body. Over the last ten to fifteen years, the use of transactional approaches in the western U.S., Mexico, and Australia has proven to be a viable management tool for achieving stream flow and shallow aquifer restoration. By broad definition, environmental water transactions are an equitable and adaptable tool that brings diverse stakeholders to the table to facilitate a fair-market exchange of rights to use water in a manner that benefits both water users and the environment. This talk will present a basic framework of necessary stakeholder engagement, hydrologic conditions, enabling laws and policies
Kuo, Chinhwa; Chiu, Jui-Hwa; Wu, Jong-Jyh; Chen, Dxo-Shin
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.
Kanta, L.; Berglund, E. Z.; Soh, M. H.
irrigation parameters to determine the most significant factors that should be considered by water utilities to reduce outdoor demand. Data from multiple sources and the agent-based modeling methodology are integrated using a holistic approach to assist utilities in efficiently and sustainably managing outdoor demand.
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)
Nishikawa, T.; Izbicki, J. A.; Hevesi, J. A.; Martin, P.
Ground water historically has been the sole source of water supply for the community of Joshua Tree in the Joshua Tree ground-water subbasin of the Morongo ground-water basin in the southern Mojave Desert. Joshua Basin Water District (JBWD) supplies water to the community from the underlying Joshua Tree ground-water subbasin, and ground-water withdrawals averaging about 960 acre-ft/yr have resulted in as much as 35 ft of drawdown. As growth continues in the desert, ground-water resources may need to be supplemented using imported water. To help meet future demands, JBWD plans to construct production wells in the adjacent Copper Mountain ground-water subbasin. To manage the ground-water resources and to identify future mitigating measures, a thorough understanding of the ground-water system is needed. To this end, field and numerical techniques were applied to determine the distribution and quantity of natural recharge. Field techniques included the installation of instrumented boreholes in selected washes and at a nearby control site. Numerical techniques included the use of a distributed-parameter watershed model and a ground-water flow model. The results from the field techniques indicated that as much as 70 acre-ft/yr of water infiltrated downward through the two principal washes during the study period (2001-3). The results from the watershed model indicated that the average annual recharge in the ground-water subbasins is about 160 acre-ft/yr. The results from the calibrated ground-water flow model indicated that the average annual recharge for the same area is about 125 acre-ft/yr. Although the field and numerical techniques were applied to different scales (local vs. large), all indicate that natural recharge in the Joshua Tree area is very limited; therefore, careful management of the limited ground-water resources is needed. Moreover, the calibrated model can now be used to estimate the effects of different water-management strategies on the ground-water
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)
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
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
Esmat, Ayman; Pinson, Pierre; Usaola, Julio
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...
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
Sardana, P.; Herman, P.
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
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
Nelson, M. D. [emWare Inc., Salt Lake City, UT (United States)
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.
Sobieczky, Florian; Lettner, Christian; Natschläger, Thomas; Traxler, Patrick
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.
Kaerkkaeinen, S.; Kekkonen, V.; Rissanen, P.
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
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.
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.
Costs of repairing and expanding aging infrastructure and competing demands for water from other sectors such as industry and agriculture are stretching water managers’ abilities to meet essential domestic drinking water needs for future generations. Using Bayesian statistical mo...
Papachan, Deepa; Gupta, P.K.; Patil, D.P.; Save, C.B.; Anilkumar, K.R.
To prevent microbiological growth in the condenser tubes, condenser cooling water chlorination is very important. For effective chlorination, chlorine dose rate and frequency of dosing has to be determined on the basis of sea water chlorine demand. TAPS 1 and 2 is located near Arabian sea and draws water from this sea for its condenser cooling. The present practice of chlorine dosing at TAPS 1 and 2, based on the analysis carried out by GE in 1969, is 2500 kg/day/CWpump and 90 kg/day/SSWpump for a contact period of 25 minutes. Normal frequency of dosing is once per 8 hour and booster dose is once in a week at the same rate for 1 hour. The criteria of effective chlorination is to get residual chlorine of 2-3 ppm at the condenser water box outlet during chlorination at water box inlet/CW pump suction header in the recommended dose rate. The other option of chlorination was continuous dosing to get 0.5 ppm residual chlorine. This option has its own limitations as it is more expensive and also that micro organisms get immune to chlorine eventually due to continuous dosing. Nevertheless higher chlorine dosing is detrimental to AI-brass condenser tubes. Therefore the second option was not adopted at TAPS 1 and 2. Tarapur Atomic Power Station-1 is in the process of replacement of condenser tubes due to frequent condenser tube failures in the recent years. It was essential to analyse the present sea water chlorine demand and re-determine the chlorine dose rate because of development of industries under Maharashtra Industrial Development Corporation (MIDC) and simultaneous population growth around this area over a period of three decades. This paper discusses the experimental observations regarding significant change in sea water chlorine demand over this period and the effect of seasonal changes on sea water chlorine demand. (author)
Full Text Available Indicators of water resources status and water consumption in Iran reveal an imbalance between supply and demand. This is compounded by the current unrealistic water price that signals the inefficiency of the water market in Iran. In economics parlance, the most important factors responsible for the low efficiency of water market are inaccurate valuation and failure to define the ownership rights of water. Low prices, low sensitivity of water demand to prices, and the lack of proper inputs as substitutes for water resources have collectively contributed to excessive pressures on the available water resources for domestic, industrial, and agricultural uses. A brief glance reveals that water resources in Iran are merely priced based on cost accounting. This is while study has shown that developed countries adopt approaches to water pricing that not only consider the final cost of water but also take into account such other parameters that are affected by intrinsic value of water including its bequest and existence values. The present paper draws upon the concepts of value, expenses, and pricing of water in an attempt to explore the marketing and pricing of water resources as the two major tools economists employ in the management of these resources. It is the objective of the study to arrive at an accurate definition of ownership rights of water resources to improve upon the present water marketing. In doing so, the more important components of modern pricing strategies adopted by developed nations will also be investigated. Results indicate that the present cost accounting method used in pricing water in Iran will in the long-run lead to the wastage of water resources and that it should, therefore, be given up in favor modern and more realistic policies to avoid such waste of resources.
Gonzales, P.; Ajami, N. K.
Traditional urban water supply portfolios have proven to be unsustainable under the uncertainties associated with growth and long-term climate variability. Introducing alternative water supplies such as recycled water, captured runoff, desalination, as well as demand management strategies such as conservation and efficiency measures, has been widely proposed to address the long-term sustainability of urban water resources. Collaborative efforts have the potential to achieve this goal through more efficient use of common pool resources and access to funding opportunities for supply diversification projects. However, this requires a paradigm shift towards holistic solutions that address the complexity of hydrologic, socio-economic and governance dynamics surrounding water management issues. The objective of this work is to develop a regional integrative framework for the assessment of water resource sustainability under current management practices, as well as to identify opportunities for sustainability improvement in coupled socio-hydrologic systems. We define the sustainability of a water utility as the ability to access reliable supplies to consistently satisfy current needs, make responsible use of supplies, and have the capacity to adapt to future scenarios. To compute a quantitative measure of sustainability, we develop a numerical index comprised of supply, demand, and adaptive capacity indicators, including an innovative way to account for the importance of having diverse supply sources. We demonstrate the application of this framework to the Hetch Hetchy Regional Water System in the San Francisco Bay Area of California. Our analyses demonstrate that water agencies that share common water supplies are in a good position to establish integrative regional management partnerships in order to achieve individual and collective short-term and long-term benefits.
Petkovski, Ljupcho; Tanchev, Ljubomir
In this paper are presented a general description of water resource systems, a systematisation of the management tasks and the approaches for solution, including a review of methods used for solution of water management tasks and the fundamental postulates in the management. The management of water resources is a synonym for the management actions applied to water resource systems. It is a general term that unites planning and exploitation of the systems. The modern planning assumes separating the water racecourse part from the hydro technical part of the project. The water resource study is concerned with the solution for the resource problem. This means the parameters of the system are determined in parallel with the definition of the water utilisation regime. The hydro-technical part of the project is the design of structures necessary for the water resource solution. (Original)
Sohail Razzaq; Rehman Zafar; Naveed Ahmed Khan; Asif Raza Butt; Anzar Mahmood
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...
Basch, G.; Kassam, A.; Friedrich, T.; Santos, F.L.; Gubiani, P.I.; Calegari, A.; Reichert, J.M.; dos Santos, D.R.
Soil quality and its management must be considered as key elements for an effective management of water resources, given that the hydrological cycle and land management are intimately linked (Bossio et al. 2007). Soil degradation has been described by Bossio et al. (2010) as the starting point of a negative cycle of soil-water relationships, creating a positive, self-accelerating feedback loop with important negative impacts on water cycling and water productivity. Therefore, sustainable soil...
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.
Tansey, M. K.; Flores-Lopez, F.; Young, C. A.; Huntington, J. L.
Long term planning for the management of California's water resources requires assessment of the effects of future climate changes on both water supply and demand. Considerable progress has been made on the evaluation of the effects of future climate changes on water supplies but less information is available with regard to water demands. Uncertainty in future climate projections increases the difficulty of assessing climate impacts and evaluating long range adaptation strategies. Compounding the uncertainty in the future climate projections is the fact that most readily available downscaled climate projections lack sufficient meteorological information to compute evapotranspiration (ET) by the widely accepted ASCE Penman-Monteith (PM) method. This study addresses potential changes in future Central Valley water demands and crop yields by examining the effects of climate change on soil evaporation, plant transpiration, growth and yield for major types of crops grown in the Central Valley of California. Five representative climate scenarios based on 112 bias corrected spatially downscaled CMIP 3 GCM climate simulations were developed using the hybrid delta ensemble method to span a wide range future climate uncertainty. Analysis of historical California Irrigation Management Information System meteorological data was combined with several meteorological estimation methods to compute future solar radiation, wind speed and dew point temperatures corresponding to the GCM projected temperatures and precipitation. Future atmospheric CO2 concentrations corresponding to the 5 representative climate projections were developed based on weighting IPCC SRES emissions scenarios. The Land, Atmosphere, and Water Simulator (LAWS) model was used to compute ET and yield changes in the early, middle and late 21st century for 24 representative agricultural crops grown in the Sacramento, San Joaquin and Tulare Lake basins. Study results indicate that changes in ET and yield vary
Peeters, M.A.G.; Rutte, C.G.
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
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
Shi, Haiyun; Chen, Ji; Sivakumar, Bellie; Peart, Mervyn
Regarded as a driving force in water, food and energy demands, the world's population has been increasing rapidly since the beginning of the 20th century. According to the medium-growth projection scenario of the United Nations, the world's population will reach 9.5 billion by 2050. In response to the continuously growing population during this century, water, food and energy demands have also been increasing rapidly, and social problems (e.g., water, food, and energy shortages) will be most likely to occur, especially if no proper management strategies are adopted. Then, how to meet the increasing demands of water, food and energy in the future? This study focuses on the sustainable developments of population, water, food, energy and dams, and the significances of this study can be concluded as follows: First, we reveal the close association between dams and social development through analysing the related data for the period 1960-2010, and argue that construction of additional large dams will have to be considered as one of the best available options to meet the increasing water, food and energy demands in the future. We conduct the projections of global water, food and energy consumptions and dam development for the period 2010-2050, and the results show that, compared to 2010, the total water, food and energy consumptions in 2050 will increase by 20%, 34% and 37%, respectively. Moreover, it is projected that additional 4,340 dams will be constructed by 2050 all over the world. Second, we analyse the current situation of global water scarcity based on the related data representing water resources availability (per capita available water resources), dam development (the number of dams), and the level of economic development (per capita gross domestic product). At the global scale, water scarcity exists in more than 70% of the countries around the world, including 43 countries suffering from economic water scarcity and 129 countries suffering from physical water
This Power Point presentation describes the progress made by the Greater Vancouver Regional District (GVRD) in achieving sustainable development. The GVRD provides regional level infrastructure for drinking water, liquid waste treatment and solid waste management. Member municipalities provide the complementary services to businesses and residents of the communities. Particular emphasis has been given to protecting the green zone, building complete communities, achieving a compact Metropolitain region, and increasing transportation choices. The GVRD has also adopted a Livable Region Strategic Plan (LRSP) which encompasses economic, social and environmental issues. All member municipalities of the GVRD have prepared statements that indicate how their local policies will help achieve the LRSP goals. This presentation also includes a review of the region's air quality in order to emphasize the link between air quality and the pattern of urban development and transportation choices. The GVRD air quality management is unique in Canada. tabs., figs
The purpose of this paper is to estimate empirically the effects of a water tax on water use and on the size and stability of the tax revenues. A tax exceeding value-added tax can be motivated on efficiency grounds when there are environmental external costs of water use and when water is a scarce resource. A household demand function for water is estimated using community level data for 282 (out of 286) Swedish communities studied annually over the period 1980-1992. Static and dynamic demand functions are estimated using panel data methods. The results show a long-run price elasticity of -0.10 in marginal price models and -0.20 in average price models. The findings imply that a tax of 1 Swedish Kronor (SEK) m-3 of water used (corresponding to a 5% increase in the mean average price) would generate ˜600 million SEK in tax revenues per year when levied on all households in Sweden. The water consumption would, however, only be reduced by ˜1%.
Wu, S.; Li, Xiaohong; Tang, S.; Zhou, Y.; Diao, K.
Globally, water demand is rising and resources are diminishing. Most of the world's water systems have been highly successful in delivering high-quality water to large populations. However, most of these systems also incur a notable amount of loss in their operations. Water loss from the water supply system has long been a feature of operations management, even in the countries with a well-developed infrastructure and good operating practices. There is no doubt that the sustainable management...
Stewart, S.; Valdes, J.; Gastelum, J.; Brookshire, D.; Aparicio, J.; Hidalgo, J.; Velazco, I.
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.
Marco Antonio Almendarez-Hernández
Full Text Available The purpose of this paper is to provide empirical evidence for policy-makers of water management, evaluate the applicability of economic variables such as price and other factors that affect demand, and determine the impact thereof on decision-making surrounding water management in the El Vizcaino Biosphere Reserve in Mexico. We estimated a dynamic function with an average price specification, as well as price perception specification. Findings demonstrated that consumers tend to react to perceived average price but not to the marginal price. Furthermore, long-term price elasticity was found to be higher than short-term elasticity, and both elasticities were found to be inelastic. Inelastic elasticities, coupled with rising prices, generate substantial revenues with which to improve water planning and supply quality and to expand service coverage. The results suggest that users’ level of knowledge surrounding price is a key factor to take into account when restructuring rates, especially in situations where consumers do not readily possess the necessary information about their rate structure and usage within a given billing period. Furthermore, the results can help water management policy-makers to achieve goals of economic efficiency, social equity, and environmental sustainability.
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)
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.
Blokker, E.J.M.; Vreeburg, J.H.G.; Beverloo, H.; Klein Arfman, M.; Van Dijk, J.C.
An “all pipes” hydraulic model of a drinking water distribution system was constructed with two types of demand allocations. One is constructed with the conventional top-down approach, i.e. a demand multiplier pattern from the booster station is allocated to all demand nodes with a correction factor
Ehsani, N.; Vorosmarty, C. J.; Fekete, B. M.
Accurate estimates of water supply and demand are crucial elements in water resources management and modeling. As part of our NSF-funded EaSM effort to build a Northeast Regional Earth System Model (NE-RESM) as a framework to improve our understanding and capacity to forecast the implications of planning decisions on the region's environment, ecosystem services, energy and economic systems through the 21st century, we are producing a high resolution map (3' x 3' lat/long) of estimated water supply and use for the north east region of United States. Focusing on water demand, results from this study enables us to quantify how demand sources affect the hydrology and thermal-chemical water pollution across the region. In an attempt to generate this 3-minute resolution map in which each grid cell has a specific estimated monthly domestic, agriculture, thermoelectric and industrial water use. Estimated Use of Water in the United States in 2005 (Kenny et al., 2009) is being coupled to high resolution land cover and land use, irrigation, power plant and population data sets. In addition to water demands, we tried to improve estimates of water supply from the WBM model by improving the way it controls discharge from reservoirs. Reservoirs are key characteristics of the modern hydrologic system, with a particular impact on altering the natural stream flow, thermal characteristics, and biogeochemical fluxes of rivers. Depending on dam characteristics, watershed characteristics and the purpose of building a dam, each reservoir has a specific optimum operating rule. It means that literally 84,000 dams in the National Inventory of Dams potentially follow 84,000 different sets of rules for storing and releasing water which must somehow be accounted for in our modeling exercise. In reality, there is no comprehensive observational dataset depicting these operating rules. Thus, we will simulate these rules. Our perspective is not to find the optimum operating rule per se but to find
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
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
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
Hunt, K.; Griffin, B. [Enbridge Gas Distribution, Toronto, ON (Canada)
In 1994, the Ontario Energy Board required that gas utilities implement DSM programs for all customers. Enbridge began delivering demand side management (DSM) programs in 1995. DSM is now fully integrated with marketing. DSM programs are delivered across the residential, commercial, industrial, and multi-residential sectors. In 1997, Enbridge introduced the Steam Saver Program for customers who own mid-sized and large steam boilers. The program is now saving customers over 41 million cubic metres of gas per year, representing over $10 million annually. Steam boiler plants burn 30 per cent of all fuel in Ontario. They include natural gas, oil, wood or coal. This paper included a table listing the annual fuel consumption and cost for 1,200 boiler plants in Ontario. The Steam Saver Program identified steam efficiency projects in the customer's plant, provided a business case for the customer and provided technical and financial help to implement the project. The average financial payback on steam efficiency projects is 1.7 years. This paper also described Enbridge's Natural Gas Construction Heater Program for new residential construction markets. The program promotes the benefits of natural gas construction heaters as an alternative to propane salamanders for curing concrete walls in basements, drywall drying, and thawing soil for basement floors before pouring concrete. The natural gas construction heaters are also more suitable for heating the home before a central furnace system is activated. 3 tabs., 6 figs.
Li, Y.; Flynn, P.C.
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)
Zhang, Y.; Hua, Guowei; Wang, Shouyang; Zhang, Juliang; Fernández Alarcón, Vicenç
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 ...
Steven C. McNulty; Ge Sun; Erika C. Cohen; Jennifer A. Moore Myers
Water shortages are often considered a problem in the western United States, where water supply is limited compared to the eastern half of the country. However, periodic water shortages are also common in the southeastern United States due to high water demand and periodic drought. Southeastern U.S. municipalities spend billions of dollars to develop water storage...
U.S. Environmental Protection Agency — This EnviroAtlas dataset includes domestic water demand attributes which provide insight into the amount of water currently used for indoor and outdoor residential...
U.S. Environmental Protection Agency — The national agricultural water demand metric provides insight into the amount of water currently used for agricultural irrigation in the contiguous United States....
U.S. Environmental Protection Agency — This EnviroAtlas dataset includes industrial water demand attributes which provide insight into the amount of water currently used for manufacturing and production...
Musolesi, Antonio; Nosvelli, Mario
This paper focuses on residential water demand estimation, a rather neglected issue in the Italian environmental economics literature as compared to other European countries and the USA. This may depend on the difficulties in gathering proper data and, most of all, panel data. In some cases statistical information are not suitably collected, while in other cases legal privacy ties put some obstacles to data set transfer. Our panel data set refers to 102 municipalities in Lombardy (Italy) for the period 1998-2002. When estimating the effect of water price, we control for other relevant variables such as: income, households demographical variables - (age structure, number of component for each family) number of firms in tertiary sector, water system length. In the considered period, the data show both an increase in population (1,5 %) and in the number of water consumers (7%) associated, on aggregate, with a slight reduction in water consumption (-1,1 %). Water demand models are estimated both in a static and in a dynamic framework. In the former, the emphasis is set on the sources of endogeneity in the average price by estimating a system of simultaneous equations and relevant variables for assessing consumer behaviour - such as socio demographic ones - are incorporated in the model. In the latter, econometric methods especially designed for endogeneity in panel data models (Arellano e Bond, 1991), are employed in order to estimate the long run elasticity of water demand with respect to average price. We find evidence both that consumers significantly respond to average price only in the long run with an elasticity of about - 0,3-0,4 and that income and demographic variables are crucial in explaining consumers' behaviour. Furthermore, water consumption presents a strong auto-regressive component, showing the emergence of inertia and path dependency in consumption habits. Such results suggest important implications for water policy planning. On one side demographic
Ożadowicz, A.; Grela, J.; Babar, M.
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
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
de Jong, C.
In the European Alps water has been perceived as ubiquitous and not the subject of management. Climate change and anthropogenic pressures have changed demand and supply relations rapidly and over the last 10 years, water problems have increasingly become apparent over temporal and spatial hotspots. Stakeholders in the Alpine Space have been confronted with water management problems in agriculture, tourism and hydropower to such an extent that they approached scientists to create solution strategies based on adaptation and mitigation. In this context, Alp-Water-Scarce, a European project on Water Management Strategies against Water Scarcity in the Alps was funded by the Alpine Space programme as part of the "European Territorial Cooperation" scheme. It has 17 project partners from Austria Switzerland, France, Italy and Slovenia from local governments, provinces, federal institutes and offices, universities, regional agencies, alpine societies, geological surveys, and chambers of agriculture and forestry. The Lead Partner is the Mountain Institute in Savoy, Rhone-Alpes, France. The main challenges of this project are to create local Early Warning Systems against Water Scarcity in the Alps. This system is based on strengthening existing long-term monitoring and modeling and creating new measuring networks in those countries where they do not yet exist. It is anchored strongly and actively within a Stakeholder Interaction Forum linked across comparative and contrasting regions across the Alps. The Early Warning System is based on the linkage and improvement of field monitoring and assemblage of qualitative and quantitative data derived both from natural water reservoirs as well as from anthropogenic water use in 28 selected pilot regions selected in France, Italy, Austria, Slovenia and Switzerland. The objectives are to improve water management at the short term (annual scale) and long term (using future scenarios) based on modelling and application of climate change
Full Text Available Today, about half of the world population lives in urban areas and in the coming 20 years, urbanization is expected to increase steadily, especially in the Developing World. Based on UN data and projections, about 4 out of the 5 billion world urban population will live in developing countries by 2030. Large cities in the Developing World face the problem of unplanned growth, coupled with the financial and operational inability to offer the public services needed to sustain a decent life in urban environments. Water is one of those essential commodities which is often short in supply and/or of low quality. Additionally, flood poses a threat to urban dwellers during rainy season. The water management challenges in tropical urban areas today and in the decades to come can be characterized by (1 fighting physical shortcomings in water resources, (2 coping with contamination of groundwater, rivers, lakes, and reservoirs by domestic, agricultural or industrial waste and waste water, (3 mitigating environmental impacts of water extraction (such as loss of wetlands, subsidence and seawater intrusion , (4 preventing / mastering flood situations and (5 overcoming administrative and financial strains and operational incapacities. Solutions to the problems of urban water in 20 years time are to be found in supply side and demand side measures. The first group includes (1 optimal use of surface water and groundwater resources, (2 pollution protection, (3 watershed management and (4 more water storage. The second group includes (1 educational training, (2 technological innovation, (3 water conservation and (4 water pricing.
This article addresses meeting and maintaining water pollution controls while keeping up with the new regulations. The topics discussed in the article include discharge regulations, stormwater discharges, wetlands regulation, water use, water-related programs, and keeping an inventory of water pollution regulations, especially those involving pre-approvals, permits or registrations
Lee, K.; Zhou, T.; Gao, H.; Huang, M.
With ongoing global environmental change and an increasing population, it is challenging (to say the least) to understand the complex interactions of irrigation and reservoir systems. Irrigation is critical to agricultural production and food security, and is a vital component of Texas' agricultural economy. Agricultural irrigation currently accounts for about 60% of total water demand in Texas, and recent occurrences of severe droughts has brought attention to the availability and use of water in the future. In this study, we aim to assess future agricultural irrigation water demand, and to estimate how changes in the fraction of crop irrigated land will affect future water availability in Texas, which has the largest farm area and the highest value of livestock production in the United States. The Variable Infiltration Capacity (VIC) model, which has been calibrated and validated over major Texas river basins during the historical period, is employed for this study. The VIC model, coupling with an irrigation scheme and a reservoir module, is adopted to simulate the water management and regulations. The evolution on agricultural land is also considered in the model as a changing fraction of crop for each grid cell. The reservoir module is calibrated and validated based on the historical (1915-2011) storage records of major reservoirs in Texas. The model is driven by statistically downscaled climate projections from Coupled Model Intercomparison Project Phase 5 (CMIP5) model ensembles at a spatial resolution of 1/8°. The lowest (RCP 2.6) and highest (RC P8.5) greenhouse-gas concentration scenarios are adopted for future projections to provide an estimate of uncertainty bounds. We expect that our results will be helpful to assist decision making related to reservoir operations and agricultural water planning for Texas under future climate and environmental changes.
regression analysis for developing a consumption model. Seven variables were ... other non-governmental organizations have indicated that water supply in not ... 90% of rural areas and 60% of urban areas face water related problems .
In the last decades, integrated water resources management studies produced integrated models that focus mainly on the assessment of water resources and water stress in the future. In some cases, socioeconomic development results to cause more impacts on the evolution of water systems than climate (Reynard et al., 2014). There is thus a need to develop demand-side approaches in the observation and modeling of human-influenced hydrological systems (Grouillet et al., 2015). We define the notion of water use cycle to differentiate water volumes that are withdrawn from the hydrological system and that circulate through anthropic hydro-systems along various steps: withdrawals, distribution, demands, consumption, restitution (Calianno et al., submitted). To address the spatial distribution and the temporal dynamics of the water use cycle, we define the concepts of water use basins and water use regimes (Calianno et al., submitted). The assessment of the temporal variability of water demands is important at thin time steps in touristic areas, where water resource regimes and water demands are highly variable. This is the case for are alpine ski resorts, where the high touristic season (winter) takes place during the low flow period in nival and glacio-nival basins. In this work, a monitoring of drinking water demands was undergone, at high temporal resolution, on different types of buildings in the ski resort of Megève (France). A dataset was created, from which a typology of water demand regimes was extracted. The analysis of these temporal signatures highlighted the factors influencing the volumes and the dynamics of drinking water demand. The main factors are the type of habitat (single family, collective, house, apartment blocks), the presence of a garden or an infrastructure linked to high standing chalets (pool, spa), the proportion of permanent and temporary habitat, the presence of snow in the ski resort. Also, temporalities linked to weekends and weekly tourism
Pahl-Wostl, C.; Kabat, P.; Möltgen, J.
Sustainable water management is a key environmental challenge of the 21st century. Developing and implementing innovative management approaches and how to cope with the increasing complexity and uncertainties was the theme of the first International Conference on Adaptive and Integrated Water
The management process of Integrated Water Resources Management (IWRM) consists of aspects of policies/strategies, measures (engineering measures and non-engineering measures) and organizational management structures, etc., among which engineering measures such as reservoirs, dikes, canals, etc., play the backbone that enables IWRM through redistribution and reallocation of water in time and space. Engineering measures are usually adopted for different objectives of water utilization and water disaster prevention, such as flood control and drought relief. The paper discusses the planning and implementation of engineering measures in IWRM of the Changjiang River, China. Planning and implementation practices of engineering measures for flood control and water utilization, etc., are presented. Operation practices of the Three Gorges Reservoir, particularly the development and application of regulation rules for flood management, power generation, water supply, ecosystem needs and sediment issues (e.g. erosion and siltation), are also presented. The experience obtained in the implementation of engineering measures in Changjiang River show that engineering measures are vital for IWRM. However, efforts should be made to deal with changes of the river system affected by the operation of engineering measures, in addition to escalatory development of new demands associated with socio-economic development.
Full Text Available The management process of Integrated Water Resources Management (IWRM consists of aspects of policies/strategies, measures (engineering measures and non-engineering measures and organizational management structures, etc., among which engineering measures such as reservoirs, dikes, canals, etc., play the backbone that enables IWRM through redistribution and reallocation of water in time and space. Engineering measures are usually adopted for different objectives of water utilization and water disaster prevention, such as flood control and drought relief. The paper discusses the planning and implementation of engineering measures in IWRM of the Changjiang River, China. Planning and implementation practices of engineering measures for flood control and water utilization, etc., are presented. Operation practices of the Three Gorges Reservoir, particularly the development and application of regulation rules for flood management, power generation, water supply, ecosystem needs and sediment issues (e.g. erosion and siltation, are also presented. The experience obtained in the implementation of engineering measures in Changjiang River show that engineering measures are vital for IWRM. However, efforts should be made to deal with changes of the river system affected by the operation of engineering measures, in addition to escalatory development of new demands associated with socio-economic development.
Ghaffour, NorEddine; Missimer, Thomas M.; Amy, Gary L.
it an attractive option for water supply even in countries where desalination was unthinkable in the past. In the GCC/MENA region, operating records show that water demand is relatively constant during the year, while power demand varies considerably with a high
Full Text Available Climate change dynamics have significant consequences on water resources on a watershed scale. With water becoming scarcer and susceptible to variation, the planning and reallocation decisions in watershed management need to be reviewed. This research focuses on an in-depth understanding of the current allocation balance of water resources among competitors, placed along the course of the Adda River. In particular, during the summer period, the demand for water dramatically increases. This is due to the increase in irrigation activities in the lower part of the basin and to the highest peaks of tourist inflow, in the Como Lake and Valtellina areas. Moreover, during these months, the hydroelectric reservoirs in the upper part of the Adda River basin (the Valtellina retain most of the volume of water coming from the snow and glacier melt. The existing allocation problem among these different competing users is exacerbated by the decreasing water supplies. The summer of 2003 testified the rise in a number of allocation problems and situations of water scarcity that brought about environmental and economical consequences. The RICLIC project is committed to the understanding of water dynamics on a regional scale, to quantify the volumes involved and offer local communities an instrument to improve a sustainable water management system, within uncertain climate change scenarios.
Wikler, G.; Ghosh, D.Ph.D.
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)
Fresh water scarcity is a global problem with local solutions. Agriculture is one of many human systems threatened by water deficits, and faces unique supply, demand, quality, and management challenges as the global climate changes and population grows. Sustainable agricultural water management is paramount to protecting global economies and ecosystems, but requires different approaches based on environmental conditions, social structures, and resource availability. This research compares water used by conservation agriculture in temperate and tropical agroecosystems through data collected from operations growing strawberries, grapes, tomatoes, and pistachios in California and corn and soybeans in Colombia. The highly manipulated hydrologic regime in California has depleted water resources and incited various adaptive management strategies, varying based on crop type and location throughout the state. Operations have to use less water more efficiently, and sometimes that means fallowing land in select groundwater basins. At the opposite end of the spectrum, the largely untouched landscape in the eastern plains of Colombia are rapidly being converted into commercial agricultural operations, with a unique opportunity to manage and plan for agricultural development with sustainability in mind. Although influenced by entirely different climates and economies, there are some similarities in agricultural water management strategies that could be applicable worldwide. Cover crops are a successful management strategy for both agricultural regimes, and moving forward it appears that farmers who work in coordination with their neighbors to plan for optimal production will be most successful in both locations. This research points to the required coordination of agricultural extension services as a critical component to sustainable water use, successful economies, and protected environments.
In 1995, the World Bank helped sponsor a conference on "Ethics and Spiritual ..... "that the strategy of water conservation communication must be global and interactive, and ...... 16 All environmental media have rights, including a right to water.
Milliken, J. Gordon; Taylor, Graham C
This monograph is intended to inform interested and capable pesons, who happen not to be specialists in water resources planning, of the issues and alternative strategies related to metropolitan water supply...
Yohanis, Y.G. [Thermal Systems Engineering Group, Faculty of Engineering, University of Ulster, BT37 0QB Northern Ireland (United Kingdom); Popel, O.; Frid, S.E. [Non-traditional Renewable Energy Sources, Institute for High Temperatures, Russian Academy of Sciences, 13/19 Izhorskaya str., IVTAN, Moscow 127412 (Russian Federation); Norton, B. [Dublin Institute of Technology, Aungier Street, Dublin 2 (Ireland)
An analysis of solar water heating systems determines the number of days in each month when solar heated water wholly meets demand above a set temperature. The approach has been used to investigate the potential contribution to water heating loads of solar water heating in two UK locations. Correlations between the approach developed and the use of solar fractions are discussed. (author)
Yang, Chih; Wang, Mu-Hao
This volume provides in-depth coverage of such topics as multi-reservoir system operation theory and practice, management of aquifer systems connected to streams using semi-analytical models, one-dimensional model of water quality and aquatic ecosystem-ecotoxicology in river systems, environmental and health impacts of hydraulic fracturing and shale gas, bioaugmentation for water resources protection, wastewater renovation by flotation for water pollution control, determination of receiving water’s reaeration coefficient in the presence of salinity for water quality management, sensitivity analysis for stream water quality management, river ice process, and computer-aided mathematical modeling of water properties. This critical volume will serve as a valuable reference work for advanced undergraduate and graduate students, designers of water resources systems, and scientists and researchers. The goals of the Handbook of Environmental Engineering series are: (1) to cover entire environmental fields, includin...
Escriva-Bou, Alvar; Pulido-Velazquez, Manuel; Lund, Jay R.
Water use directly causes a significant amount of energy use in cities. In this paper we assess energy and greenhouse emissions related with each part of the urban water cycle and the consequences of several changes in residential water use for customers, water and energy utilities, and the environment. First, we develop an hourly model of urban water uses by customer category including water-related energy consumption. Next, using real data from East Bay Municipal Utility District in California, we calibrate a model of the energy used in water supply, treatment, pumping and wastewater treatment by the utility. Then, using data from the California Independent System Operator, we obtain hourly costs of energy for the energy utility. Finally, and using emission factors reported by the energy utilities we estimate greenhouse gas emissions for the entire urban water cycle. Results of the business-as-usual scenario show that water end uses account for almost 95% of all water-related energy use, but the 5% managed by the utility is still worth over 12 million annually. Several simulations analyze the potential benefits for water demand management actions showing that moving some water end-uses from peak to off-peak hours such as outdoor use, dishwasher or clothes washer use have large benefits for water and energy utilities, especially for locations with a high proportion of electric water heaters. Other interesting result is that under the current energy rate structures with low or no fixed charges, energy utilities burden most of the cost of the conservation actions.
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.
It has become generally accepted that water quality can deteriorate in a distribution system through reactions in the bulk phase and/or at the pipe wall. These reactions may be physical, chemical or microbiological in nature. Perhaps one of the most serious aspects of water qua...
Copper is the most widely used material in drinking water premise plumbing systems. In buildings such as hospitals, large and complicated plumbing networks make it difficult to maintain good water quality. Sustaining safe disinfectant residuals throughout a building to protect ag...
Castro, Maria Cecilia Trindade; Hall-Spencer, Jason M.; Poggian, Cecília Fonseca; Fileman, Timothy W.
In 2005, Brazil addressed the environmental challenges posed by ballast water through a unilateral regulation, called the Maritime Standard N° 20 (NORMAM-20), applied to all shipping in her waters. This world-leading decision was the culmination of a process that started during the 1990‧s. Here, we summarize how these ballast water regulations were brought in and adopted and present the findings of 10 years of enforcement (2005-2015) in 39 ports along the Brazilian coast. We show that compliance with the Brazilian standard has increased significantly since the regulations were implemented (p < 0.001). After five years of implementation, non-compliance decreased probably reflecting an increase in awareness of the Brazilian Standard and a shift in the shipping industry commitment to minimize and control the spread of invasive species through ballast water. The Brazilian experience shows that very high levels (97%) of compliance with ballast water management regulations can be made to work in a region of global importance to the maritime industry. In the last decade, the rules governing ballast water in Brazil have evolved to address the demands from the maritime community and to provide updates such as imminent requirements for the use of ballast water management systems on board ships. These regulations are rarely cited when ballast water regulations are discussed internationally, yet there is much to learn from the proactive approach taken by Brazil such as what is feasible and enforceable.
Wada, Y.; Beek, L.P.H. van; Viviroli, D.; Dürr, H.H.; Weingartner, R.; Bierkens, M.F.P.
This paper assesses global water stress at a finer temporal scale compared to conventional assessments. To calculate time series of global water stress at a monthly time scale, global water availability, as obtained from simulations of monthly river discharge from the companion paper, is confronted
Gago Pedras, Celestina M.; Lança, Rui M.; Martins, Fernando; Fernandez, Helena; Vieira, Cristina; Monteiro, José Paulo; Guerrero, Carlos
Golf is an economic activity with a prominent position in the tourist-sport offer in the region of Algarve. Located in southern of Portugal, this region is the most suitable region for the growth of the golf industry. The climate is characterized by mild winters with slight rainfall and hot and dry summers. The region has an annual average temperature of 14oC and annual precipitation that rarely exceeds 500 mm year-1. Since most of the rainfall occurs concentrated in the winter, irrigation is needed during the remaining months of the year to meet the water demand from plants. A proper irrigation management will allow to optimize the use water, thus it constitutes a key issue for the sustainability of this activity in areas subjected to water scarcity. Currently, remote sensing provides the tools to assess the evolution of the greenish quality of the area in the golf courses. In this study, based on Landsat images, vegetation indices were calculated the Normalized Difference Vegetation Index (NDVI), for the spring and summer seasons during the last 30 years. For the same period, according the data collected from weather stations distributed in the region, maps of precipitation, temperature, solar radiation, relative humidity and wind were produced. According the current maintenance practices and irrigation cycles, maps of potential and real evapotranspiration and with basis on the water balance were calculated, and water deficit maps estimated. Upon crossing this information with the NDVI maps, trends were identified in the consumption of water for irrigation due to the growth of the occupied area by golf courses in the region of Algarve. Since drought problems tend to increase due to climate changes, it becomes relevant the need to conduct this study aiming the research of strategies to ensure the beneficial use of water on golf courses and other turfgrass areas. Keywords: evapotranspiration, golf, irrigation, NDVI, water deficit
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.
Culhane, Thomas Henry
This dissertation analyzes hot water demand and service infrastructure in two neighboring but culturally distinct communities of the urban poor in the inner-city area of central Cairo. The communities are the Historic Islamic Cairo neighborhood of Darb Al Ahmar at the foot of Al-Azhar park, and the Zurayib neighborhood of Manshiyat Nasser where the Coptic Zabaleen Recyclers live. The study focuses on the demand side of the hot water issue and involves consideration of built-environment infrastructures providing piped water, electricity, bottled gas, sewage, and the support structures (wiring and plumbing) for consumer durables (appliances such as hot water heaters, stoves, refrigerators, air conditioners) as well as water pumps and water storage tanks. The study asks the questions "How do poor communities in Cairo value hot water" and "How do cost, infrastructure and cultural preferences affect which attributes of hot water service are most highly preferred?". To answer these questions household surveys based primarily on the World Bank LSMS modules were administered by professional survey teams from Darb Al Ahmar's Aga Khan Trust for Culture and the Zabaleen's local NGO "Spirit of Youth" in their adjacent conununities in and surrounding historic Cairo. In total 463 valid surveys were collected, (231 from Darb Al Ahmar, 232 from the Zabaleen). The surveys included a contingent valuation question to explore Willingness to Pay for improved hot water service; the surveys queried household assets as proxies for income. The dissertation's findings reveal that one quarter of the residents of Darb Al Ahmar and two-thirds of the residents of Manshiyet Nasser's Zabaleen lack conventional water heating service. Instead they employ various types of stoves and self-built contraptions to heat water, usually incurring considerable risk and opportunity costs. However the thesis explores the notion that this is rational "satisficing" behavior; despite the shortcomings of such self
El-Kholy, Hosni; Faried, Ragy
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.
Literature related to sustainable water management is reviewed to illustrate the relationship among water management, sustainability (sustainable development), and sustainable water management. This review begins with the explanation on the definition of sustainable water management, followed by a discussion of sustainable water management principles and practices.
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
Vasiliades, Lampros; Spiliotopoulos, Marios; Tzabiras, John; Loukas, Athanasios; Mylopoulos, Nikitas
An integrated modeling system, developed in the framework of "Hydromentor" research project, is applied to evaluate crop water requirements for operational water resources management at Lake Karla watershed, Greece. The framework includes coupled components for operation of hydrotechnical projects (reservoir operation and irrigation works) and estimation of agricultural water demands at several spatial scales using remote sensing. The study area was sub-divided into irrigation zones based on land use maps derived from Landsat 5 TM images for the year 2007. Satellite-based energy balance for mapping evapotranspiration with internalized calibration (METRIC) was used to derive actual evapotranspiration (ET) and crop coefficient (ETrF) values from Landsat TM imagery. Agricultural water needs were estimated using the FAO method for each zone and each control node of the system for a number of water resources management strategies. Two operational strategies of hydro-technical project development (present situation without operation of the reservoir and future situation with the operation of the reservoir) are coupled with three water demand strategies. In total, eight (8) water management strategies are evaluated and compared. The results show that, under the existing operational water resources management strategies, the crop water requirements are quite large. However, the operation of the proposed hydro-technical projects in Lake Karla watershed coupled with water demand management measures, like improvement of existing water distribution systems, change of irrigation methods, and changes of crop cultivation could alleviate the problem and lead to sustainable and ecological use of water resources in the study area.
Water is a scarce natural resource. It is not only used as an input to economic activity such as irrigation, household and industrial water use, and hydropower generation, but also provides ecosystem services such as the maintenance of wetlands, wildlife support, and river flows for aquatic
Zhou, S. L.; McMahon, T. A.; Walton, A.; Lewis, J.
A time series forecasting model of hourly water consumption 24 h in advance for an urban zone within the Melbourne (Australia) water supply system is developed. The model comprises two modules—daily and hourly. The daily module is formulated as a set of equations representing the effects of three factors on water use namely seasonality, climatic correlation, and autocorrelation. The hourly module is developed to disaggregate the estimated daily consumption into hourly consumption. The models were calibrated using hourly and daily data for a 6 year period, and independently validated over an additional seven month period. Over this latter period, the hourly forecast model accounted for 66% of the variance in the peak hourly water consumption with a standard error of 162 l/p/d.
Teuber, W.; Bosenius, U.; Henke, J.
The report was drawn up for the US day on water pollution prevention on 22 March 1994, as a follow-up to the 1992 Rio de Janairo conference on the environment and development, and presented to the International Water Conference in Noordwijk, the Netherlands. It gives a current overview of the foundations and structure, the development, position and points of emphasis for the german water industry. The report illustrates the extent of the success of german measures towards resolving it's water pollution problems, in particular the reduction of contamination. It clarifies the great challenges facing the german water industry in the Nineties, and hence illustrates more long-term goals - which will only be achieved through greater international cooperation. (orig./HP) [de
Balali, M.R.; Keulartz, F.W.J.; Korthals, M.J.J.A.A.
In Iran, water scarcity is one of the main problems threatening food security. The country is confronted with the challenge to continue the expansion of food production to meet future demand without negative effects on the environment. To illuminate the problems and perspectives of water management
Full Text Available The main aim of this work is to present operational problems concerning the safety of the water supply and the procedures for risk management systems functioning public water supply (CWSS and including methods of hazard identification and risk assessment. Developed a problem analysis and risk assessment, including procedures called. WSP, which is recommended by the World Health Organization (WHO as a tool for comprehensive security management of water supply from source to consumer. Water safety plan is a key element of the strategy for prevention of adverse events in CWSS.
Bakker, Vincent; Bosman, M.G.C.; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria
In order to keep a proper functional electricity grid and to prevent large investments in the current grid, the creation, transmission and consumption of electricity needs to be controlled and organized in a different way as done nowadays. Smart meters, distributed generation and -storage and demand
Water utilities in developing countries are struggling to provide customers with a reliable level of service due to their peculiar water distribution characteristics including poorly zoned networks with irregular supply operating under restricted budgets. These unique conditions demand unique tools and methods for water loss control. Water loss management: Tools and Methods for Developing Countries provide a decision support toolbox (appropriate tools and methodologies) for assessing, quantif...
Full Text Available Despite the large literature focused on residential water use, our knowledge of the impact of individual metering on household water consumption remains limited. Our work aims to fill this gap by providing the first estimate of the residential water demand function in the Principality of Andorra, where collective and individual metering coexists. Using a panel dataset covering the years 2006 to 2015, we propose estimating a domestic water demand function for the municipality of Andorra La Vella (the capital of Andorra. Our estimates reveal a price elasticity of the residential water demand equal to –0.7. Facing a price increase of 10 percent, households will react in the short run by reducing their water consumption by 7 percent. Interestingly, the price elasticity is found to be significantly different in single-family units compared to multi-family units. This may suggest a significant impact of individual metering on domestic water consumption in Andorra.
Ibarrola-Rivas, M. J.; Granados-Ramírez, R.; Nonhebel, S.
Land and water are essential local resources for food production but are limited. The main drivers of increasing food demand are population growth and dietary changes, which depend on the socioeconomic situation of the population. These two factors affect the availability of local resources: population growth reduces the land and water per person; and adoption of affluent diets increases the demand for land and water per person. This study shows potentials of global food supply by linking food demand drivers with national land and water availability. Whether the available land and water is enough to meet national food demand was calculated for 187 countries. The calculations were performed for the past situation (1960 and 2010) and to assess four future scenarios (2050) to discuss different paths of diets, population numbers and agricultural expansion. Inclusion of the demand perspective in the analysis has shown stronger challenges for future global food supply than have other studies. The results show that with the "business as usual" scenario, 40% of the global population in 2050 will live in countries with not enough land nor water to meet the demands of their population. Restriction to basic diets will be the most effective in lowering both land and water constraints. Our results identify both food production and food demand factors, and the regions that may experience the strongest challenges in 2050.
Gago Pedras, Celestina M.; Lança, Rui M.; Granja-Martins, Fernando M.; Neto-Paixão, Helena M.; Vieira, Cristina; Monteiro, José P.; Guerrero, Carlos
Golf is an economic activity with a prominent position in the tourist-sport offer in the region of Algarve. Located in southern of Portugal, this region is the most suitable region for the growth of the golf industry. The climate is characterized by mild winters with slight rainfall and hot and dry summers. The region has an annual average temperature of 14oC and annual precipitation that rarely exceeds 500 mm year-1. Since most of the rainfall occurs concentrated in the winter, irrigation is needed during the remaining months of the year to meet the water demand from plants. A proper irrigation management will allow to optimize the use water, thus it constitutes a key issue for the sustainability of this activity in areas subjected to water scarcity. Currently, remote sensing provides the tools to assess the evolution of the greenish quality of the area in the golf courses. In this study, based on Landsat images, vegetation indices were calculated the Normalized Difference Vegetation Index (NDVI), for the spring and summer seasons during the last 30 years. For the same period, according the data collected from weather stations distributed in the region, maps of precipitation, temperature, solar radiation, relative humidity and wind were produced. According the current maintenance practices and irrigation cycles, maps of potential and real evapotranspiration and with basis on the water balance were calculated, and water deficit maps estimated. Upon crossing this information with the NDVI maps, trends were identified in the consumption of water for irrigation due to the growth of the occupied area by golf courses in the region of Algarve. Since drought problems tend to increase due to climate changes, it becomes relevant the need to conduct this study aiming the research of strategies to ensure the beneficial use of water on golf courses and other turfgrass areas.
Peeters, Miranda A G; Rutte, Christel G
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).
resources. In this context, the PhD study focused on development of approaches to inform integrated water resources management to cope with multiple and coupled challenges faced in China. The proposed method is to formulate river water management as a joint hydroeconomic optimization problem that minimizes...... the system and allowed overdraft in dry years in return for increased recharge in wet years. Further, cost-effective recovery of an overdrafted groundwater aquifer was demonstrated. The third implementation assessed interactions of water resources and water quality management. Biochemical oxygen demand (BOD...... problem with a single surface water reservoir state variable. A comparison of different management scenarios was used to evaluate how the South-to-North Water Transfer Project will impact optimal water resources management. Scenarios with unregulated groundwater pumping at realistic pumping costs verified...
Milliken, J. Gordon; Taylor, Graham C
.... This also requires an awareness of the complex economic, environmental, and social issues that increasingly compound what once was considered a purely technological problem, to be left to water...
Kimberly A. Novick; Darren L. Ficklin; Paul C. Stoy; Christopher A. Williams; Gil Bohrer; Andrew C. Oishi; Shirley A. Papuga; Peter D. Blanken; Asko Noormets; Benjamin N. Sulman; Russell L. Scott; Lixin Wang; Richard P. Phillips
Soil moisture supply and atmospheric demand for water independently limit-and profoundly affect-vegetation productivity and water use during periods of hydrologic stress1-4. Disentangling the impact of these two drivers on ecosystem carbon and water cycling is difficult because they are often correlated, and experimental tools for manipulating...
Li, X.; Vernon, C. R.; Hejazi, M. I.; Link, R. P.; Liu, Y.; Feng, L.; Huang, Z.; Liu, L.
Water availability and water demands are essential factors for estimating water scarcity conditions. To reproduce historical observations and to quantify future changes in water availability and water demand, two open source tools have been developed by the JGCRI (Joint Global Change Research Institute): Xanthos and GCAM-STWD. Xanthos is a gridded global hydrologic model, designed to quantify and analyze water availability in 235 river basins. Xanthos uses a runoff generation and a river routing modules to simulate both historical and future estimates of total runoff and streamflows on a monthly time step at a spatial resolution of 0.5 degrees. GCAM-STWD is a spatiotemporal water disaggregation model used with the Global Change Assessment Model (GCAM) to spatially downscale global water demands for six major enduse sectors (irrigation, domestic, electricity generation, mining, and manufacturing) from the region scale to the scale of 0.5 degrees. GCAM-STWD then temporally downscales the gridded annual global water demands to monthly results. These two tools, written in Python, can be integrated to assess global, regional or basin-scale water scarcity or water stress. Both of the tools are extensible to ensure flexibility and promote contribution from researchers that utilize GCAM and study global water use and supply.
The effects of climate change are increasingly considered in conjunction with changes in water demand and reservoir sedimentation in forecasts of water supply vulnerability. Here, the relative effects of these factors are evaluated for the Washington, DC metropolitan area water supply for the near f...
Surface delivery of irrigation water in the San Joaquin Valley is becoming increasingly restricted due to urbanization and environmental regulation, and the strain is projected to worsen under most climate change scenarios. Remote sensing technology offers the potential to monitor crop evapotranspi...
Mayhorn, Ebony T. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Widder, Sarah H. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Parker, Steven A. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Pratt, Richard M. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Chassin, Forrest S. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
The purpose of this project is to verify or refute many of the concerns raised by utilities regarding the ability of large tank HPWHs to perform DR by measuring the performance of HPWHs compared to ERWHs in providing DR services. perform DR by measuring the performance of HPWHs compared to ERWHs in providing DR services. This project was divided into three phases. Phase 1 consisted of week-long laboratory experiments designed to demonstrate technical feasibility of individual large-tank HPWHs in providing DR services compared to large-tank ERWHs. In Phase 2, the individual behaviors of the water heaters were then extrapolated to a population by first calibrating readily available water heater models developed in GridLAB-D simulation software to experimental results obtained in Phase 1. These models were used to simulate a population of water heaters and generate annual load profiles to assess the impacts on system-level power and residential load curves. Such population modeling allows for the inherent and permanent load reduction accomplished by the more efficient HPWHs to be considered, in addition to the temporal DR services the water heater can provide by switching ON or OFF as needed by utilities. The economic and emissions impacts of using large-tank water heaters in DR programs are then analyzed from the utility and consumer perspective, based on National Impacts Analysis in Phase 3. Phase 1 is discussed in this report. Details on Phases 2 and 3 can be found in the companion report (Cooke et al. 2014).
Abeygunawardane, Saranga Kumudu
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.
Pages, J.P.; Marty, D.
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
Wheater, H. S.; Hassanzadeh, E.; Nazemi, A.; Elshorbagy, A. A.
The water-food-energy nexus is a convenient phrase to highlight competing societal uses for water and the need for cross-sectoral policy integration, but this can lead to oversimplification of the multiple dimensions of water (and energy) management. In practice, water managers must balance (and prioritize) demands for water for many uses, including environmental flows, and reservoir operation often involves managing conflicting demands, for example to maximize retention for supply, reduce storage to facilitate flood control, and constrain water levels and releases for habitat protection. Agriculture and water quality are also inextricably linked: irrigated agriculture requires appropriate water quality for product quality and certification, but agriculture can be a major source of nutrient pollution, with impacts on human and ecosystem health, drinking water treatment and amenity. And energy-water interactions include energy production (hydropower and cooling water for thermal power generation) and energy consumption (e.g. for pumping and water and wastewater treatment). These dependencies are illustrated for the Canadian prairies, and a risk-based approach to the management of climate change is presented. Trade-offs between economic benefits of hydropower and irrigation are illustrated for alternative climate futures, including implications for freshwater habitats. The results illustrate that inter-sector interactions vary as a function of climate and its variability, and that there is a need for policy to manage inter-sector allocations as a function of economic risk.
Chen, Jinduan; Boccelli, Dominic L.
Consumer water demands are not typically measured at temporal or spatial scales adequate to support real-time decision making, and recent approaches for estimating unobserved demands using observed hydraulic measurements are generally not capable of forecasting demands and uncertainty information. While time series modeling has shown promise for representing total system demands, these models have generally not been evaluated at spatial scales appropriate for representative real-time modeling. This study investigates the use of a double-seasonal time series model to capture daily and weekly autocorrelations to both total system demands and regional aggregated demands at a scale that would capture demand variability across a distribution system. Emphasis was placed on the ability to forecast demands and quantify uncertainties with results compared to traditional time series pattern-based demand models as well as nonseasonal and single-seasonal time series models. Additional research included the implementation of an adaptive-parameter estimation scheme to update the time series model when unobserved changes occurred in the system. For two case studies, results showed that (1) for the smaller-scale aggregated water demands, the log-transformed time series model resulted in improved forecasts, (2) the double-seasonal model outperformed other models in terms of forecasting errors, and (3) the adaptive adjustment of parameters during forecasting improved the accuracy of the generated prediction intervals. These results illustrate the capabilities of time series modeling to forecast both water demands and uncertainty estimates at spatial scales commensurate for real-time modeling applications and provide a foundation for developing a real-time integrated demand-hydraulic model.
Schaik, van H.
This booklet starts out describing how our water management strategy has evolved over the centuries from increasingly defensive measures to an adaptive approach. The second part presents smart, areaspecific examples in planning and zoning of water, land and ecosystems for our coast, rivers, cities
Water is a precious gift of nature to the mankind and it is vital for living beings and industries. It may become a scarce resource, if proper measures are not adopted timely to conserve the same. Water Management with measures taken for water, energy conservation and effluent reduction at HWP - Hazira are described in the present paper. System details of pre-treatment, cooling water, steam, boiler, effluent etc. pertaining to HWP-Hazira are described. Cooling water treatment adopted in HWP-HAZIRA is operating at 3-4 concentration cycles. Treatment is found to be satisfactory as revealed by the absence of scaling or corrosion induced by microbial fouling in coolers, heat exchangers etc. due to observations made during the last ATR. The cooling water treatment adopted and followed by KRIBHCO is also described. KRIBHCO is operating their cooling water system at a cycle of concentration of 7-8 to conserve water and chemicals. (author)
Wu, Yiping; Chen, Ji
The ever-increasing demand for water due to growth of population and socioeconomic development in the past several decades has posed a worldwide threat to water supply security and to the environmental health of rivers. This study aims to derive reservoir operating rules through establishing a multi-objective optimization model for the Xinfengjiang (XFJ) reservoir in the East River Basin in southern China to minimize water supply deficit and maximize hydropower generation. Additionally, to enhance the estimation of irrigation water demand from the downstream agricultural area of the XFJ reservoir, a conventional method for calculating crop water demand is improved using hydrological model simulation results. Although the optimal reservoir operating rules are derived for the XFJ reservoir with three priority scenarios (water supply only, hydropower generation only, and equal priority), the river environmental health is set as the basic demand no matter which scenario is adopted. The results show that the new rules derived under the three scenarios can improve the reservoir operation for both water supply and hydropower generation when comparing to the historical performance. Moreover, these alternative reservoir operating policies provide the flexibility for the reservoir authority to choose the most appropriate one. Although changing the current operating rules may influence its hydropower-oriented functions, the new rules can be significant to cope with the increasingly prominent water shortage and degradation in the aquatic environment. Overall, our results and methods (improved estimation of irrigation water demand and formulation of the reservoir optimization model) can be useful for local watershed managers and valuable for other researchers worldwide.
Zhang, Bo; Chen, Z. M.; Zeng, L.; Qiao, H.; Chen, B.
With ever increasing water demands and the continuous intensification of water scarcity arising from China's industrialization, the country is struggling to harmonize its industrial development and water supply. This paper presents a systems analysis of water withdrawals by Chinese industry and investigates demand-driven industrial water uses embodied in final demand and interregional trade based on a multi-regional input-output model. In 2007, the Electric Power, Steam, and Hot Water Production and Supply sector ranks first in direct industrial water withdrawal (DWW), and Construction has the largest embodied industrial water use (EWU). Investment, consumption, and exports contribute to 34.6%, 33.3%, and 30.6% of the national total EWU, respectively. Specifically, 58.0%, 51.1%, 48.6%, 43.3%, and 37.5% of the regional EWUs respectively in Guangdong, Shanghai, Zhejiang, Jiangsu, and Fujian are attributed to international exports. The total interregional import/export of embodied water is equivalent to about 40% of the national total DWW, of which 55.5% is associated with the DWWs of Electric Power, Steam, and Hot Water Production and Supply. Jiangsu is the biggest interregional exporter and deficit receiver of embodied water, in contrast to Guangdong as the biggest interregional importer and surplus receiver. Without implementing effective water-saving measures and adjusting industrial structures, the regional imbalance between water availability and water demand tends to intensify considering the water impact of domestic trade of industrial products. Steps taken to improve water use efficiency in production, and to enhance embodied water saving in consumption are both of great significance for supporting China's water policies.
Ines, A.; Bhattacharjee, A.; Modi, V.; Robertson, A. W.; Lall, U.; Kocaman Ayse, S.; Chaudhary, S.; Kumar, A.; Ganapathy, A.; Kumar, A.; Mishra, V.
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
Campana, Pietro Elia; Li, Hailong; Yan, Jinyue
Highlights: ► Evaluation of water demand and solar energy is essential for PV pumping system. ► The design for a PV water pumping system has been optimized based on dynamic simulations. ► It is important to conduct dynamic simulations to check the matching between water demand and water supply. ► AC pump driven by the fixed PV array is the most cost-effective solution. - Abstract: The exploitation of solar energy in remote areas through photovoltaic (PV) systems is an attractive solution for water pumping for irrigation systems. The design of a photovoltaic water pumping system (PVWPS) strictly depends on the estimation of the crop water requirements and land use since the water demand varies during the watering season and the solar irradiation changes time by time. It is of significance to conduct dynamic simulations in order to achieve the successful and optimal design. The aim of this paper is to develop a dynamic modelling tool for the design of a of photovoltaic water pumping system by combining the models of the water demand, the solar PV power and the pumping system, which can be used to validate the design procedure in terms of matching between water demand and water supply. Both alternate current (AC) and direct current (DC) pumps and both fixed and two-axis tracking PV array were analyzed. The tool has been applied in a case study. Results show that it has the ability to do rapid design and optimization of PV water pumping system by reducing the power peak and selecting the proper devices from both technical and economic viewpoints. Among the different alternatives considered in this study, the AC fixed system represented the best cost effective solution
Leopold, Luna Bergere
If I had to cite one fact about water in the United States which would be not only the most important but also the most informative, the one I would choose would k this: Over 50 percent of all the water presently being used in the United States is used by industry, and nearly all of that is used for cooling.The large amount of attention recently being given to water shortage and the expected rapid increase in demand for water is probably to some extent clouded because there are certain simple facts about water availability and water use which, though readily available, are not generally either known or understood.Probably most people react to information in the public press about present and possible future water shortages with the thought that it is going to be more difficult in the future to supply the ordinary household with water for drinking, washing, and tbe culinary arts. As a matter of fact that may be true to some extent, but it is not the salient aspect.
The term Water Resources is used to refer to the management and use of water primarily for the benefit of people. Hence, successful management of water resources requires a solid understanding of Hydrology. Cybernetics in Water Resources Management is an endeavor to analyze and enhance the beneficial exploitation of diverse scientific approaches and communication methods; to control the complexity of water management; and to highlight the importance of making right decisions at the right time, avoiding the devastating effects of drought and floods. Recent developments in computer technology and advancement of mathematics have created a new field of system analysis i.e. Mathematical Modeling. Based on mathematical models, several computer based Water Resources System (WRS) Models were developed across the world, to solve the water resources management problems, but these were not adaptable and were limited to computation by a well defined algorithm, with information input at various stages and the management tasks were also formalized in that well structured algorithm. The recent advancements in information technology has revolutionized every field of the contemporary world and thus, the WRS has also to be diversified by broadening the knowledge base of the system. The updation of this knowledge should be a continuous process acquired through the latest techniques of networking from all its concerned sources together with the expertise of the specialists and the analysis of the practical experiences. The system should then be made capable of making inferences and shall have the tendency to apply the rules based on the latest information and inferences in a given stage of problem solving. Rigid programs cannot adapt to changing conditions and new knowledge. Thus, there is a need for an evolutionary development based on mutual independence of computational procedure and knowledge with capability to adapt itself to the increasing complexity of problem. The subject
Wada, Y.; van Beek, L. P. H.; Bierkens, M. F. P.
During the past decades, human water use has more than doubled, yet available freshwater resources are finite. As a result, water scarcity has been prevalent in various regions of the world. Here, we present the first global assessment of past development of water stress considering not only climate variability but also growing water demand, desalinated water use and non-renewable groundwater abstraction over the period 1960-2001 at a spatial resolution of 0.5°. Agricultural water demand is estimated based on past extents of irrigated areas and livestock densities. We approximate past economic development based on GDP, energy and household consumption and electricity production, which are subsequently used together with population numbers to estimate industrial and domestic water demand. Climate variability is expressed by simulated blue water availability defined by freshwater in rivers, lakes, wetlands and reservoirs by means of the global hydrological model PCR-GLOBWB. We thus define blue water stress by comparing blue water availability with corresponding net total blue water demand by means of the commonly used, Water Scarcity Index. The results show a drastic increase in the global population living under water-stressed conditions (i.e. moderate to high water stress) due to growing water demand, primarily for irrigation, which has more than doubled from 1708/818 to 3708/1832 km3 yr-1 (gross/net) over the period 1960-2000. We estimate that 800 million people or 27% of the global population were living under water-stressed conditions for 1960. This number is eventually increased to 2.6 billion or 43% for 2000. Our results indicate that increased water demand is a decisive factor for heightened water stress in various regions such as India and North China, enhancing the intensity of water stress up to 200%, while climate variability is often a main determinant of extreme events. However, our results also suggest that in several emerging and developing economies
Full Text Available Water is the most essential component for sustaining lives of humans and other living creatures. Supplying potable water with adequate residual pressure is a fundamental responsibility of city administration, which they do during normal conditions. But sometimes, abnormal conditions are formed resulting pressure deficient conditions during the daily operations of water distribution networks. These are caused due to common occurrences such as pump failure, pipe bursts, and isolation of major pipes from the system for planned maintenance work and excessive firefighting demands. Total water stop conditions may arise, when the major source supplying water to the city fails in natural disaster such as floods, Tsunami, earthquake or manmade disaster such as terrorist attack. Unlike the pipe failure, longer time is required for restoring water in case of source failure condition. In such situations, the quantity of water is generally decreased and the water distribution systems (WDS may not be able to satisfy all consumers’ demands. In this context, the assumption that all demands are fully satisfied regardless of the pressure in the system becomes unreasonable. A realistic behavior of the network performance can only be attained by considering demands to be pressure dependent. This paper aims to describe how pressure dependent demand analysis is useful for the simulation of disaster scenario due to source failure of the Shirpur town. The simulation of failure scenario is carried out using WaterGEMs software. The paper also aims to prepare the action plans for the recovery of water supply in such crisis conditions.
Jacinto, Rita; Nunes, João Pedro; Santos, Juliana
Mediterranean basins experience water scarcity issues due to the dry climate associated with the need for agricultural irrigation and recurrent severe drought episodes. Recent land use changes have increased the pressure over water resources due to an expansion of irrigation. Global climate change is expected to bring forth a drier climate, which may simultaneously lead to higher irrigation demands and less water to sustain them, which would be a great management challenge. The issues surrounding climate and associated land use changes were addressed for the Xarrama basin in southern Portugal. This is a region where there is already a large amount of irrigation, mostly consisting of corn and rice fields, but recent trends point to an increase of drip-irrigation in olives and vineyards. The water management strategies for this region assume water transfers from the larger Alqueva reservoir, without taking into account the impacts of these future changes which might introduce additional evapotranspiration losses while decreasing the amount of available water both in Xarrama and Alqueva. Future climate and land-use scenarios were downscaled to the basin level, the latter taking into account local land-use change trends in recent decades. Downscaling based on local tendencies allowed detailed land use changes for agriculture and forest (the main land uses for this region), i.e. the most likely types of crops and trees to be introduced or replaced. The results of local tendencies scenarios reflect the SRES tendencies for Europe, namely agricultural abandonment and increased biofuel production, with species adapted to this climatic region. These scenarios are the first for this region with highly detailed information about land use change scenarios under climate change. The SWAT eco-hydrological model is being applied to quantify the individual impact of climate and land-use change scenarios on both water availability and demands, and the synergies between both. This
Zubaidi, Salah L.; Dooley, Jayne; Alkhaddar, Rafid M.; Abdellatif, Mawada; Al-Bugharbee, Hussein; Ortega-Martorell, Sandra
Valid and dependable water demand prediction is a major element of the effective and sustainable expansion of municipal water infrastructures. This study provides a novel approach to quantifying water demand through the assessment of climatic factors, using a combination of a pretreatment signal technique, a hybrid particle swarm optimisation algorithm and an artificial neural network (PSO-ANN). The Singular Spectrum Analysis (SSA) technique was adopted to decompose and reconstruct water consumption in relation to six weather variables, to create a seasonal and stochastic time series. The results revealed that SSA is a powerful technique, capable of decomposing the original time series into many independent components including trend, oscillatory behaviours and noise. In addition, the PSO-ANN algorithm was shown to be a reliable prediction model, outperforming the hybrid Backtracking Search Algorithm BSA-ANN in terms of fitness function (RMSE). The findings of this study also support the view that water demand is driven by climatological variables.
Calow, Roger C; Macdonald, Alan M; Nicol, Alan L; Robins, Nick S
Drought in Africa has been extensively researched, particularly from meteorological, agricultural, and food security perspectives. However, the impact of drought on water security, particularly ground water dependent rural water supplies, has received much less attention. Policy responses have concentrated on food needs, and it has often been difficult to mobilize resources for water interventions, despite evidence that access to safe water is a serious and interrelated concern. Studies carried out in Ghana, Malawi, South Africa, and Ethiopia highlight how rural livelihoods are affected by seasonal stress and longer-term drought. Declining access to food and water is a common and interrelated problem. Although ground water plays a vital role in buffering the effects of rainfall variability, water shortages and difficulties in accessing water that is available can affect domestic and productive water uses, with knock-on effects on food consumption and production. Total depletion of available ground water resources is rarely the main concern. A more common scenario is a spiral of water insecurity as shallow water sources fail, additional demands are put on remaining sources, and mechanical failures increase. These problems can be planned for within normal development programs. Water security mapping can help identify vulnerable areas, and changes to monitoring systems can ensure early detection of problems. Above all, increasing the coverage of ground water-based rural water supplies, and ensuring that the design and siting of water points is informed by an understanding of hydrogeological conditions and user demand, can significantly increase the resilience of rural communities to climate variability.
Water pump is a device to transport liquid from one place to another. This device is used in most of household in Indonesia. Small-scale water pump which is effective to lift more discharge is generally used. The ones that are most preferred are centrifugal types which having low absorbability. Pump performance is limited by pressure level in real electrical power whereas pump efficiency is influenced by head and discharge. The research aims to find out the efficiency of five distinct brands of home water pumps which are broadly distributed in market. Efficiency analysis take by laboratorium and financial analysis using NPV and BCR are done in order to obtained dicharge and pressure from each pump. At the end of the research, one out of 5 home water pump brands will be selected as the optimal working home water pump with low operational expense based on the utilizing age. The result of the research shows that the maximum efficiency value among various brands of water pump is diverse. Each value is arranged as follow from water pump A to E orderly: 12,9%, 13,5%, 12,8%, 14,8%, and 3,4%. From the calculation, water demand of South Lubuklinggau at stage 1 is 1117,7 l/s and stage 2 is 3495,2 l/s.. Moreover, the researcher conducts of investment, operation and maintenance cost with 25 years pump utilizing age towards 2 conditions (1) of maximum efficiency, i.e. pump A Rp16.563.971; pump B Rp12.163.798; pump C Rp11.809.513,2; pump D Rp11.473.928,3; pump E Rp12.648.708,3; (2) of max discharge, i.e. pump A Rp111.993.822,8; pump B Rp26.128.845,1; pump C Rp51.697.208,8; pump D Rp51.098.687,4; pump E Rp22.915.952,7;Financial analysis with interest rate 13% show a positive NPV(+) for all pump except pump A in max efficiency and a negative NPV (-) for all except pump B in max discharge. BCR value for max efficiency are pump A 0,8; pump B 1,6; pump C 1,7; pump D 1,7 and pump E 1,3. And for max discharge are pump A 0,2; pump B 1,1; pump C 0,7; pump D 0,7 and pump E 0,9. Result
Smart Grids manage energy efficiently through intelligent monitoring and control of all the components connected to the electrical grid. Advanced digital technology, combined with sensors and power electronics, can greatly improve transmission line efficiency. This thesis proposed a model of a deregulated grid which supplied power to diverse set of consumers and allowed them to participate in decision making process through two-way communication. The deregulated market encourages competition at the generation and distribution levels through communication with the central system operator. A software platform was developed and executed to manage the communication, as well for energy management of the overall system. It also demonstrated self-healing property of the system in case a fault occurs, resulting in an outage. The system not only recovered from the fault but managed to do so in a short time with no/minimum human involvement.
Krishna Bhat, D.; Prakash, T.R.; Thimme Gowda, B.; Sherigara, B.S.; Khader, A.M.A.
The nuclear power plant at Kaiga would use Kali river water for condenser cooling. This necessitated studies on the chemistry of chlorination such as chlorine demand, kinetics of chlorination and other water characteristics aimed at obtaining base line data. The study revealed significant seasonal variation of chlorine demand ranging from 0.5 ppm to 1.7 ppm (3.0 ppm dose, 30 min contact time) and total consumption of 5.0 ppm (10.0 ppm dose, 48 hours contact time). The reaction follows first order kinetics in chlorine. High correlation of chlorine demand with chlorophyll a, suspended matter, turbidity, silica, nitrite, phosphate and sulphate indicated that chlorine demand is greatly influenced by water quality. (author). 3 refs., 1 tab
Full Text Available Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, manage billing and propose new customer services. With the emergence of smart grids, based on automated meter reading (AMR, a better understanding of the consumption modes is now accessible for smart cities with more granularities. In this context, this paper evaluates a novel methodology for identifying relevant usage profiles from the water consumption data produced by smart meters. The methodology is fully data-driven using the consumption time series which are seen as functions or curves observed with an hourly time step. First, a Fourier-based additive time series decomposition model is introduced to extract seasonal patterns from time series. These patterns are intended to represent the customer habits in terms of water consumption. Two functional clustering approaches are then used to classify the extracted seasonal patterns: the functional version of K-means, and the Fourier REgression Mixture (FReMix model. The K-means approach produces a hard segmentation and K representative prototypes. On the other hand, the FReMix is a generative model and also produces K profiles as well as a soft segmentation based on the posterior probabilities. The proposed approach is applied to a smart grid deployed on the largest water distribution network (WDN in France. The two clustering strategies are evaluated and compared. Finally, a realistic interpretation of the consumption habits is given for each cluster. The extensive experiments and the qualitative interpretation of the resulting clusters allow one to highlight the effectiveness of the proposed methodology.
Cheifetz, Nicolas; Noumir, Zineb; Samé, Allou; Sandraz, Anne-Claire; Féliers, Cédric; Heim, Véronique
Nowadays, drinking water utilities need an acute comprehension of the water demand on their distribution network, in order to efficiently operate the optimization of resources, manage billing and propose new customer services. With the emergence of smart grids, based on automated meter reading (AMR), a better understanding of the consumption modes is now accessible for smart cities with more granularities. In this context, this paper evaluates a novel methodology for identifying relevant usage profiles from the water consumption data produced by smart meters. The methodology is fully data-driven using the consumption time series which are seen as functions or curves observed with an hourly time step. First, a Fourier-based additive time series decomposition model is introduced to extract seasonal patterns from time series. These patterns are intended to represent the customer habits in terms of water consumption. Two functional clustering approaches are then used to classify the extracted seasonal patterns: the functional version of K-means, and the Fourier REgression Mixture (FReMix) model. The K-means approach produces a hard segmentation and K representative prototypes. On the other hand, the FReMix is a generative model and also produces K profiles as well as a soft segmentation based on the posterior probabilities. The proposed approach is applied to a smart grid deployed on the largest water distribution network (WDN) in France. The two clustering strategies are evaluated and compared. Finally, a realistic interpretation of the consumption habits is given for each cluster. The extensive experiments and the qualitative interpretation of the resulting clusters allow one to highlight the effectiveness of the proposed methodology.
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…
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
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…
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…
Koolen, D. (Derck); Sadat-Razavi, N. (Navid); W. Ketter (Wolfgang)
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.
Staats, M. R.; de Boer-Meulman, P. D M; van Sark, W. G J H M
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
Sardinha-Lourenço, A.; Andrade-Campos, A.; Antunes, A.; Oliveira, M. S.
Recent research on water demand short-term forecasting has shown that models using univariate time series based on historical data are useful and can be combined with other prediction methods to reduce errors. The behavior of water demands in drinking water distribution networks focuses on their repetitive nature and, under meteorological conditions and similar consumers, allows the development of a heuristic forecast model that, in turn, combined with other autoregressive models, can provide reliable forecasts. In this study, a parallel adaptive weighting strategy of water consumption forecast for the next 24-48 h, using univariate time series of potable water consumption, is proposed. Two Portuguese potable water distribution networks are used as case studies where the only input data are the consumption of water and the national calendar. For the development of the strategy, the Autoregressive Integrated Moving Average (ARIMA) method and a short-term forecast heuristic algorithm are used. Simulations with the model showed that, when using a parallel adaptive weighting strategy, the prediction error can be reduced by 15.96% and the average error by 9.20%. This reduction is important in the control and management of water supply systems. The proposed methodology can be extended to other forecast methods, especially when it comes to the availability of multiple forecast models.
Tsomaeva I. V.
Full Text Available The work presents the methodological approach to production program of the enterprise serial engineering for the current period in the conditions of uncertainty of demand. Here are two problems with this. The first is connected with the formation of the production program of the next quarter, year. Objective could be to stochastic programming, but this task is difficult. Therefore, in this paper we proposed a simple solution. On the basis of statistical historical information about the deviation of actual sales data products from predicted by Monte Carlo generated a lot of production programs. Fixed worst key performance (sales, profit etc. The difference between the values of the planned target and the settlement defines stochastic reserve, to be established at the expense of additional innovations. The second problem is connected with the formation of the production program production in the planned month, taking into account the creation of stocks of production in the conditions when for a short period of time is difficult to build a pattern of change in the quantity demanded by month for serial production, as in some months of the year the products are not produced nor sold. To justify the level of inventories of finished products is information on deviations from the fact plan for past periods. Built function of frequency distribution of the values of deviations. This allows you to further build the methodology for determining the level of production (taking into account the reserves and sales of products that deliver maximum economic effect from the sales in the conditions of a random process of realization of production.
JI Xi-bin; KANG Er-si; CHEN Ren-sheng; ZHAO Wen-zhi; XIAO Sheng-chun; JIN Bo-wen
Based on the data for meteorology, hydrology, soil, planting, vegetation, and socio-economic development of the irrigation region in the middle reaches of the Heihe River basin, Northwest China, the model of balance of water supply and demand in the region was established, and the security of water resource was assessed, from which the results that the effects of unified management of water resources in the Heihe River basin between Gansu Province and Inner Mongolia on regional hydrology are significant with a decrease in water supply diverted from Heihe River and an increase in groundwater extracted. In addition, it was found that the groundwater level has been steadily decreasing due to over pumping and decrease in recharges. In present year (2003), the volume of potential groundwater in the irrigation districts is far small because of the groundwater overdraft; even in the particular regions, there is no availability of groundwater resources for use. By 2003, water supply is not sufficient to meet the water demand in the different irrigation districts, the sustainable development and utilization of water resources are not secured, and the water supply crisis occurs in Pingchuan irrigation district. Achieving water security for the sustainable development of society, agriculture, economy, industry, and livelihoods while maintaining or improving the abilities of the management and planning of water resources, determining of the reasonable percentage between water supply and groundwater utilization and water saving in agricultural irrigation are taken into account. If this does not occur, it is feared that the present performance of water development and planning may further aggravate the problem of scarcities of water resources and further damage the fragile ecological system.
This research examines the use of individualized marketing as a transportation demand : management (TDM) strategy, using the City of Portlands SmartTrips program. This research : project has two specific aims: (1) to evaluate whether the benefits ...
Khokhryakov Oleg Viktorovich
Full Text Available Subject: the provisions in the updated edition of the technical specifications for cements are analyzed. A trend to decrease the clinker volume in Portland cement due to the wider use of mineral additives, up to 95%, was observed. Research objectives: substantiation of the most complete and efficient use of Portland cement and mineral additives in the composition of low water demand cements. Materials and methods: portland cement, mineral additives and superplasticizer were used as raw materials for obtaining cements of low water demand. The experimental methods comply with the current standards. Results: comparative properties of low water demand cements and cements with mineral additives are presented. The properties of cement-water suspensions of these binders have been studied, and, on their basis, heavy concretes have been made. The results of the grindability of Portland cement and mineral components with a superplasticizer are given. Conclusions: it is shown that the cement of low water demand, in which the advantages of both Portland cement and mineral additives are more fully and efficiently presented, complies with the tendency to decrease the clinker volume to the greatest degree. It is established that the clinker volume index for heavy concrete prepared on low water demand cement is almost four times lower than that for heavy concrete based on common Portland cement.
Quesnel, K.; Ajami, N.; Urata, J.; Marx, A.
Infrastructure modernization, information technology, and the internet of things are impacting urban water use. Advanced metering infrastructure (AMI), also known as smart meters, is one forthcoming technology that holds the potential to fundamentally shift the way customers use water and utilities manage their water resources. Broadly defined, AMI is a system and process used to measure, communicate, and analyze water use data at high resolution intervals at the customer or sub-customer level. There are many promising benefits of AMI systems, but there are also many challenges; consequently, AMI in the water sector is still in its infancy. In this study we provide insights into this emerging technology by taking advantage of the higher temporal and spatial resolution of water use data provided by these systems. We couple daily water use observations from AMI with monthly and bimonthly billing records to investigate water use trends, patterns, and drivers using a case study of the City of Redwood City, CA from 2007 through 2016. We look across sectors, with a particular focus on water use for urban irrigation. Almost half of Redwood City's irrigation accounts use recycled water, and we take this unique opportunity to investigate if the behavioral response for recycled water follows the water and energy efficiency paradox in which customers who have upgraded to more efficient devices end up using more of the commodity. We model potable and recycled water demand using geospatially explicit climate, demographic, and economic factors to gain insight into various water use drivers. Additionally, we use high resolution remote sensing data from the National Agricultural Imaging Program (NAIP) to observe how changes in greenness and impervious surface are related to water use. Using a series of statistical and unsupervised machine learning techniques, we find that water use has changed dramatically over the past decade corresponding to varying climatic regimes and drought
Holvoet, Nathalie; Dewachter, Sara; Molenaers, Nadia
Many national water policies propagate community-based participatory approaches to overcome weaknesses in supply-driven rural water provision, operation, and maintenance. Citizen involvement is thought to stimulate bottom-up accountability and broaden the information base, which may enrich design and implementation processes and foster improved water accessibility and sustainability. Practices on the ground, however, are embedded in socio-political realities which mediate possible beneficial effects of participatory approaches. This paper builds on full social network data collected in a Ugandan village to study the social and political reality of two distinct levels of participation, i.e. local information sharing among citizens and a more active appeal to fellow citizens to improve water services. We use Logistic Regression Quadratic Assignment Procedure to explore what type of actor and network traits influence information sharing and whether the same factors are in play in the demand for action to remedy water-related problems. Whereas social aspects (social support relations) and homophily (using the same water source, the same gender) play an important role in information sharing, it is the educational level, in particular, of the villager who is called upon that is important when villagers demand action. Our findings also demonstrate that those most in need of safe water do not mobilize their information sharing ties to demand for action. This indicates that building local water policies and practice exclusively on locally existing demand for action may fail to capture the needs of the most deprived citizens.
Distribution system modeling simplifies pipe network in skeletonization and simulates the flow and water quality by using generalized water demand patterns. While widely used, the approach has not been examined fully on how it impacts the modeling fidelity. This study intends to ...
A. B. de Villiers
Full Text Available The availability of water data in the development regions is at present insufficient. This is due to the fact that water supply and demand is calculated for the physical drainage regions (watersheds, while the development regions do not correspond with the drainage regions. The necessary calculations can accordingly presently not be made. In this paper this problem is addressed.
Shang, Yizi; Lu, Shibao; Gong, Jiaguo; Shang, Ling; Li, Xiaofei; Wei, Yongping; Shi, Hongwang
A recent study decomposed the changes in industrial water use into three hierarchies (output, technology, and structure) using a refined Laspeyres decomposition model, and found monotonous and exclusive trends in the output and technology hierarchies. Based on that research, this study proposes a hierarchical prediction approach to forecast future industrial water demand. Three water demand scenarios (high, medium, and low) were then established based on potential future industrial structural adjustments, and used to predict water demand for the structural hierarchy. The predictive results of this approach were compared with results from a grey prediction model (GPM (1, 1)). The comparison shows that the results of the two approaches were basically identical, differing by less than 10%. Taking Tianjin, China, as a case, and using data from 2003-2012, this study predicts that industrial water demand will continuously increase, reaching 580 million m 3 , 776.4 million m 3 , and approximately 1.09 billion m 3 by the years 2015, 2020 and 2025 respectively. It is concluded that Tianjin will soon face another water crisis if no immediate measures are taken. This study recommends that Tianjin adjust its industrial structure with water savings as the main objective, and actively seek new sources of water to increase its supply.
A graphical method for determining the 5-day biochemical oxygen demand (BOD5) for a body of water is described. In this bioassay, students collect a sample of water from a designated site, transport it to the laboratory, and evaluate the amount of oxygen consumed by naturally occurring bacteria during a 5-day incubation period. An accuracy check,…
Al-Furaiji, Mustafa; Karim, Usama F.A.; Augustijn, Dionysius C.M.; Waisi, Basma; Hulscher, Suzanne J.M.H.
This paper presents results from the first study that focuses on water resources availability and demand for different purposes in the four oil-rich provinces of southern Iraq. The region accounts for 23% of the surface area and 18% of the country's population, but holds 88% of its oil. A water
Sossan, Fabrizio; Kosek, Anna Magdalena; Martinenas, Sergejus
This paper presents a model predictive control (MPC) strategy for maximizing photo-voltaic (PV) selfconsumption in a household context exploiting the flexible demand of an electric water heater. The predictive controller uses a water heater model and forecast of the hot Water consumption in order...... to predict the future temperature of the water and it manages its state (on and off) according to the forecasted PV production, which are computed starting from forecast of the solar irradiance. Simulations for the proof of concept and for validating the proposed control strategy are proposed. Results...... of the control approach are compared with a traditional thermostatic controller using historical measurements of a 10 kW PV installation. Economic results based on the Italian self consumption tariffs are also reported. The model of the water heater complex is a mixed grey and white box and its parameters have...
R. Quante (Rainer); H. Meyr (Herbert); M. Fleischmann (Moritz)
textabstractRecent years have seen great successes of revenue management, notably in the airline, hotel, and car rental business. Currently, an increasing number of industries, including manufacturers and retailers, are exploring ways to adopt similar concepts. Software companies are taking an
Urban, Daniel W.; Sheffield, Justin; Lobell, David B.
A critical question for agricultural production and food security is how water demand for staple crops will respond to climate and carbon dioxide (CO2) changes1, especially in light of the expected increases in extreme heat exposure2. To quantify the trade-offs between the effects of climate and CO2 on water demand, we use a `sink-strength' model of demand3,4 which relies on the vapour-pressure deficit (VPD), incident radiation and the efficiencies of canopy-radiation use and canopy transpiration; the latter two are both dependent on CO2. This model is applied to a global data set of gridded monthly weather data over the cropping regions of maize, soybean, wheat and rice during the years 1948-2013. We find that this approach agrees well with Penman-Monteith potential evapotranspiration (PM) for the C3 crops of soybean, wheat and rice, where the competing CO2 effects largely cancel each other out, but that water demand in maize is significantly overstated by a demand measure that does not include CO2, such as the PM. We find the largest changes in wheat, for which water demand has increased since 1981 over 86% of the global cropping area and by 2.3-3.6 percentage points per decade in different regions.
Mortazavi-Naeini, M.; Bussi, G.; Hall, J. W.; Whitehead, P. G.
The main aim of water companies is to have a reliable and safe water supply system. To fulfil their duty the water companies have to consider both water quality and quantity issues and challenges. Climate change and population growth will have an impact on water resources both in terms of available water and river water quality. Traditionally, a distinct separation between water quality and abstraction has existed. However, water quality can be a bottleneck in a system since water treatment works can only treat water if it meets certain standards. For instance, high turbidity and large phytoplankton content can increase sharply the cost of treatment or even make river water unfit for human consumption purposes. It is vital for water companies to be able to characterise the quantity and quality of water under extreme weather events and to consider the occurrence of eventual periods when water abstraction has to cease due to water quality constraints. This will give them opportunity to decide on water resource planning and potential changes to reduce the system failure risk. We present a risk-based approach for incorporating extreme events, based on future climate change scenarios from a large ensemble of climate model realisations, into integrated water resources model through combined use of water allocation (WATHNET) and water quality (INCA) models. The annual frequency of imposed restrictions on demand is considered as measure of reliability. We tested our approach on Thames region, in the UK, with 100 extreme events. The results show increase in frequency of imposed restrictions when water quality constraints were considered. This indicates importance of considering water quality issues in drought management plans.
Rauch, W.; Harremoës, Poul
The basic features of integrated urban water quality management by means of deterministic modeling are outlined. Procedures for the assessment of the detrimental effects in the recipient are presented as well as the basic concepts of an integrated model. The analysis of a synthetic urban drainage...... system provides useful information for water quality management. It is possible to identify the system parameters that contain engineering significance. Continuous simulation of the system performance indicates that the combined nitrogen loading is dominated by the wastewater treatment plant during dry...
Juan Arturo Ocaña Ponce
Full Text Available This paper presents a literature review article that deals with how to manage water in buildings, specifically in facility projects, in ways to save water during the use, maintenance and operation of the building. This work is aimed at architects, builders and developers, and may be helpful for decision-making in the planning and management of efficient water use in buildings.Este trabajo es un artículo de revisión relacionado con el manejo y gestión del recurso agua, particularmente en proyectos de edificaciones, con el fin de propiciar ahorro de agua durante el uso, mantenimiento y operación del inmueble. Este documento está dirigido a arquitectos, constructores y desarrolladores inmobiliarios y puede ser de gran utilidad para la toma de decisiones en la fase de planeación y de gestión del uso eficiente del agua en los edificios.
Ali, Babkir; Kumar, Amit
Highlights: • Water consumption and withdrawals coefficients for renewable power generation were developed. • Six renewable energy sources (biomass, nuclear, solar, wind, hydroelectricity, and geothermal) were studied. • Life cycle water footprints for 60 electricity generation pathways were considered. • Impact of cooling systems for some power generation pathways was assessed. - Abstract: Renewable energy technology-based power generation is considered to be environmentally friendly and to have a low life cycle greenhouse gas emissions footprint. However, the life cycle water footprint of renewable energy technology-based power generation needs to be assessed. The objective of this study is to develop life cycle water footprints for renewable energy technology-based power generation pathways. Water demand is evaluated through consumption and withdrawals coefficients developed in this study. Sixty renewable energy technology-based power generation pathways were developed for a comprehensive comparative assessment of water footprints. The pathways were based on the use of biomass, nuclear, solar, wind, hydroelectricity, and geothermal as the source of energy. During the complete life cycle, power generation from bio-oil extracted from wood chips, a biomass source, was found to have the highest water demand footprint and wind power the lowest. During the complete life cycle, the water demand coefficients for biomass-based power generation pathways range from 260 to 1289 l of water per kilowatt hour and for nuclear energy pathways from 0.48 to 179 l of water per kilowatt hour. The water demand for power generation from solar energy-based pathways ranges from 0.02 to 4.39 l of water per kilowatt hour, for geothermal pathways from 0.04 to 1.94 l of water per kilowatt hour, and for wind from 0.005 to 0.104 l of water per kilowatt hour. A sensitivity analysis was conducted with varying conversion efficiencies to evaluate the impact of power plant performance on
Costanzo, Giuseppe Tommaso; Zhu, Guchuan; Anjos, Miguel F.
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...
Elitzur, Shani; Rosenband, Valery; Gany, Alon
Energy supply and waste management are among the most significant challenges in human spacecraft. Great efforts are invested in managing solid waste, recycling grey water and urine, cleaning the atmosphere, removing CO2, generating and saving energy, and making further use of components and products. This paper describes and investigates a concept for managing waste water and urine to simultaneously produce electric and heat energies as well as fresh water. It utilizes an original technique for aluminum activation to react spontaneously with water at room temperature to produce hydrogen on-site and on-demand. This reaction has further been proven to be effective also when using waste water and urine. Applying the hydrogen produced in a fuel cell, one obtains electric energy as well as fresh (drinking) water. The method was compared to the traditional energy production technology of the Space Shuttle, which is based on storing the fuel cell reactants, hydrogen and oxygen, in cryogenic tanks. It is shown that the alternative concept presented here may provide improved safety, compactness (reduction of more than one half of the volume of the hydrogen storage system), and management of waste liquids for energy generation and drinking water production. Nevertheless, it adds mass compared to the cryogenic hydrogen technology. It is concluded that the proposed method may be used as an emergency and backup power system as well as an additional hydrogen source for extended missions in human spacecraft.
This dissertation addresses several problems from the recycling industry and electricity retail market. The first paper addresses a real-life scheduling problem faced by a national industrial recycling company. Based on their practices, a scheduling problem is defined, modeled, analyzed, and a solution is approximated efficiently. The recommended application is tested on the real-life data and randomly generated data. The scheduling improvements and the financial benefits are presented. The second problem is from electricity retail market. There are well-known patterns in daily usage in hours. These patterns change in shape and magnitude by seasons and days of the week. Generation costs are multiple times higher during the peak hours of the day. Yet most consumers purchase electricity at flat rates. This work explores analytic pricing tools to reduce peak load electricity demand for retailers. For that purpose, a nonlinear model that determines optimal hourly prices is established based on two major components: unit generation costs and consumers' utility. Both are analyzed and estimated empirically in the third paper. A pricing model is introduced to maximize the electric retailer's profit. As a result, a closed-form expression for the optimal price vector is obtained. Possible scenarios are evaluated for consumers' utility distribution. For the general case, we provide a numerical solution methodology to obtain the optimal pricing scheme. The models recommended are tested under various scenarios that consider consumer segmentation and multiple pricing policies. The recommended model reduces the peak load significantly in most cases. Several utility companies offer hourly pricing to their customers. They determine prices using historical data of unit electricity cost over time. In this dissertation we develop a nonlinear model that determines optimal hourly prices with parameter estimation. The last paper includes a regression analysis of the unit generation cost
Wada, Y.; van Beek, L. P. H.; Bierkens, M. F. P.
During the past decades, human water use more than doubled, yet available freshwater resources are finite. As a result, water scarcity has been prevalent in various regions of the world. Here, we present the first global assessment of past development of water scarcity considering not only climate variability but also growing water demand, desalinated water use and non-renewable groundwater abstraction over the period 1960-2001 at a spatial resolution of 0.5°. Agricultural water demand is estimated based on past extents of irrigated areas and livestock densities. We approximate past economic development based on GDP, energy and household consumption and electricity production, which is subsequently used together with population numbers to estimate industrial and domestic water demand. Climate variability is expressed by simulated blue water availability defined by freshwater in rivers, lakes and reservoirs by means of the global hydrological model PCR-GLOBWB. The results show a drastic increase in the global population living under water-stressed conditions (i.e., moderate to high water stress) due to the growing water demand, primarily for irrigation, which more than doubled from 1708/818 to 3708/1832 km3 yr-1 (gross/net) over the period 1960-2000. We estimate that 800 million people or 27 % of the global population were under water-stressed conditions for 1960. This number increased to 2.6 billion or 43 % for 2000. Our results indicate that increased water demand is the decisive factor for the heightened water stress, enhancing the intensity of water stress up to 200 %, while climate variability is often the main determinant of onsets for extreme events, i.e. major droughts. However, our results also suggest that in several emerging and developing economies (e.g., India, Turkey, Romania and Cuba) some of the past observed droughts were anthropogenically driven due to increased water demand rather than being climate-induced. In those countries, it can be seen
R S Tay; P S McCarthy
Discrete choice methodologies are increasingly being used to estimate multiple-sites recreational demands and evaluate the welfare effects of alternative environmental policies aimed at water quality improvements. In this study the authors use 1985 data on Indiana anglers to estimate a multinomial logit model of destination choice and compute the benefits of alternative water quality improvements. In general, the results indicate that anglers are reasonably sensitive to changes in water quali...
Ali, Babkir; Kumar, Amit
The production of liquid fuels from crude oil requires water. There has been limited focus on the assessment of life cycle water demand footprints for crude oil production and refining. The overall aim of this paper is address this gap. The objective of this research is to develop water demand coefficients over the life cycle of fuels produced from crude oil pathways. Five crude oil fields were selected in the three North American countries to reflect the impact of different spatial locations and technologies on water demand. These include the Alaska North Slope, California's Kern County heavy oil, and Mars in the U.S.; Maya in Mexico; and Bow River heavy oil in Alberta, Canada. A boundary for an assessment of the life cycle water footprint was set to cover the unit operations related to exploration, drilling, extraction, and refining. The recovery technology used to extract crude oil is one of the key determining factors for water demand. The amount of produced water that is re-injected to recover the oil is essential in determining the amount of fresh water that will be required. During the complete life cycle of one barrel of conventional crude oil, 1.71-8.25 barrels of fresh water are consumed and 2.4-9.51 barrels of fresh water are withdrawn. The lowest coefficients are for Bow River heavy oil and the highest coefficients are for Maya crude oil. Of all the unit operations, exploration and drilling require the least fresh water (less than 0.015 barrel of water per barrel of oil produced). A sensitivity analysis was conducted and uncertainty in the estimates was determined. Copyright © 2017 Elsevier Ltd. All rights reserved.
The potential effects of climate change on transboundary river systems, major water uses, interjurisdictional arrangements, and water issues affecting water management in the Great Plains of Canada are discussed. Three atmospheric general circulation models (GCM) have been applied for a two times carbon dioxide concentration scenario for the Saskatchewan River system. The models were the Goddard Institute for Space Studies (GISS) model, the Geophysical Fluid Dynamics Laboratory (GFDL) model, and the Oregon State University (OSU) model. For all models, soil moisture on the plains was reduced. The GISS model predicted slightly higher runoff for plains-originating streams, and a substantial increase in runoff (32%) in the Rockies. The GFDL model predicted lower runoffs in the plains and Rockies, with some locations near the Alberta-Saskatchewan border indicating zero runoff. The OSU model results generally bracketed the GISS and GFDL results, with total runoff approximating 1951-1980 mean. The GISS model indicated an increase in net basin supply of 28%, while the GFDL model, due to lower runoff and high soil moisture defecits, showed a decrease of 38%. For policy making, monitoring, and research, the GFDL model results can provide important guidelines. Greater attention to demand management and conservation will have short-term benefits in stretching the limited water resource base to support a larger economy, while providing flexibility to cope with future climate as it evolves. 1 ref
Liu, Shu-Ming; Wu, Xue; Ouyang, Le-Yan
The notion of identification fitness was proposed for optimizing sensor placement in water distribution systems. Nondominated Sorting Genetic Algorithm II was used to find the Pareto front between minimum overlap of possible detection times of two events and the best probability of detection, taking nodal demand uncertainties into account. This methodology was applied to an example network. The solutions show that the probability of detection and the number of possible locations are not remarkably affected by nodal demand uncertainties, but the sources identification accuracy declines with nodal demand uncertainties.
Katsanevaki, Styliani Maria; Varouchakis, Emmanouil; Karatzas, George
suffer a significant loss (G). According to Game Theory both parties, due to lack of confidence, will not cooperate and will eventually overexploit the resource, although their long-term interests would be the rational management. The lack of cooperation between the two players leads in the 3rd preference of each player, while cooperation secures their 2nd preference. In addition, the administrative authorities may intervene in the game by setting penalties (fines, irrigation block) on players who have "unorthodox" behaviour to ensure collaborative strategy. Game Theory techniques obtain the equilibrium point of the system as the outcome of interaction among stakeholders through a process of supply-demand under cooperation and conflict. For every strategy, functions will be formed such that to be used for any agricultural product and in different regions based on rural water costs. Thus, the game applies under variable annual strategies and time intervals providing the accumulated profit of the stakeholders with respect to the environmental cost. The outcome will provide a useful decision-making tool for both stakeholders and administrative authorities for optimal water resources management in relation to the agricultural development.
Leong, W. K.; Lai, S. H.
Due to the effects of climate change and the increasing demand on water, sustainable development in term of water resources management has become a major challenge. In this context, the application of simulation models is useful to duel with the uncertainty and complexity of water system by providing stakeholders with the best solution. This paper outlines an integrated management planning network is developed based on Water Evaluation and Planning (WEAP) to evaluate current and future water management system of Langat River Basin, Malaysia under various scenarios. The WEAP model is known as an integrated decision support system investigate major stresses on demand and supply in terms of water availability in catchment scale. In fact, WEAP is applicable to simulate complex systems including various sectors within a single catchment or transboundary river system. To construct the model, by taking account of the Langat catchment and the corresponding demand points, we defined the hydrological model into 10 sub-hydrological catchments and 17 demand points included the export of treated water to the major cities outside the catchment. The model is calibrated and verified by several quantitative statistics (coefficient of determination, R2; Nash-Sutcliffe efficiency, NSE and Percent bias, PBIAS). The trend of supply and demand in the catchment is evaluated under three scenarios to 2050, 1: Population growth rate, 2: Demand side management (DSM) and 3: Combination of DSM and reduce non-revenue water (NRW). Results show that by reducing NRW and proper DSM, unmet demand able to reduce significantly.
Full Text Available Water-energy nexus has been a popular topic of rese arch in recent years. The relationships between the demand for water resources and energy are intense and closely connected in urban areas. The primary, secondary, and tertiary industry gross domestic product (GDP, the total population, the urban population, annual precipitation, agricultural and industrial water consumption, tap water supply, the total discharge of industrial wastewater, the daily sewage treatment capacity, total and domestic electricity consumption, and the consumption of coal in industrial enterprises above the designed size were chosen as input indicators. A feedforward artificial neural network model (ANN based on a back-propagation algorithm with two hidden layers was constructed to combine urban water resources with energy demand. This model used historical data from 1991 to 2016 from Wuxi City, eastern China. Furthermore, a multiple linear regression model (MLR was introduced for comparison with the ANN. The results show the following: (a The mean relative error values of the forecast and historical urban water-energy demands are 1.58 % and 2.71%, respectively; (b The predicted water-energy demand value for 2020 is 4.843 billion cubic meters and 47.561 million tons of standard coal equivalent; (c The predicted water-energy demand value in the year 2030 is 5.887 billion cubic meters and 60.355 million tons of standard coal equivalent; (d Compared with the MLR, the ANN performed better in fitting training data, which achieved a more satisfactory accuracy and may provide a reference for urban water-energy supply planning decisions.
Matallanas, E.; Castillo-Cagigal, M.; Gutiérrez, A.; Monasterio-Huelin, F.; Caamaño-Martín, E.; Masa, D.; Jiménez-Leube, J.
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.
Schyns, J.; Hamaideh, A.; Hoekstra, A. Y.; Mekonnen, M. M.; Schyns, M.
Jordan faces a great variety of water-related challenges: domestic water resources are scarce and polluted; the sharing of transboundary waters has led to tensions and conflicts; and Jordan is extremely dependent of foreign water resources through trade. Therefore, sustainable water management in Jordan is a challenging task, which has not yet been accomplished. The objective of this study was to analyse Jordan's domestic water scarcity and pollution and the country's external water dependency, and subsequently review sustainable solutions that reduce the risk of extreme water scarcity and dependency. We have estimated the green, blue and grey water footprint of five different sectors in Jordan: crop production, grazing, animal water supply, industrial production and domestic water supply. Next, we assessed the blue water scarcity ratio for the sum of surface- and groundwater and for groundwater separately, and calculated the water pollution level. Finally, we reviewed the sustainability of proposed solutions to Jordan's domestic water problems and external water dependency in literature, while involving the results and conclusions from our analysis. We have quantified that: even while taking into account the return flows, blue water scarcity in Jordan is severe; groundwater consumption is nearly double the sustainable yield; water pollution aggravates blue water scarcity; and Jordan's external virtual water dependency is 86%. Our review yields ten essential ingredients that a sustainable water management strategy for Jordan, that reduces the risk of extreme water scarcity and dependency, should involve. With respect to these, Jordan's current water policy requires a strong redirection towards water demand management. Especially, more attention should be paid to reducing water demand by changing the consumption patterns of Jordan consumers. Moreover, exploitation of fossil groundwater should soon be halted and planned desalination projects require careful
Hemati, Azadeh; Rippy, Megan A; Grant, Stanley B; Davis, Kristen; Feldman, David
Cities in drought prone regions of the world such as South East Australia are faced with escalating water scarcity and security challenges. Here we use 72 years of urban water consumption data from Melbourne, Australia, a city that recently overcame a 12 year "Millennium Drought", to evaluate (1) the relative importance of climatic and anthropogenic drivers of urban water demand (using wavelet-based approaches) and (2) the relative contribution of various water saving strategies to demand reduction during the Millennium Drought. Our analysis points to conservation as a dominant driver of urban water savings (69%), followed by nonrevenue water reduction (e.g., reduced meter error and leaks in the potable distribution system; 29%), and potable substitution with alternative sources like rain or recycled water (3%). Per-capita consumption exhibited both climatic and anthropogenic signatures, with rainfall and temperature explaining approximately 55% of the variance. Anthropogenic controls were also strong (up to 45% variance explained). These controls were nonstationary and frequency-specific, with conservation measures like outdoor water restrictions impacting seasonal water use and technological innovation/changing social norms impacting lower frequency (baseline) use. The above-noted nonstationarity implies that wavelets, which do not assume stationarity, show promise for use in future predictive models of demand.
Aerts, J.C.J.H.; Botzen, W.J.W.; Werners, S.
This study explores how Modern Portfolio Theory (MPT) can guide investment decisions in integrated water resources management (IWRM) and climate change adaptation under uncertainty. The objectives of the paper are to: (i) explain the concept of diversification to reduce risk, as formulated in MPT;
Mandara, Christina Geoffrey; Niehof, Anke; Horst, van der Hilje
This paper discusses how informal structures intersect with women's participation in formally created decision-making spaces for managing domestic water at the village level in Tanzania. The results reveal the influence of the informal context on women's access to and performance in the formal
Rigo, G.; Lukasczyk, Ch.
Data grids constitute the required input form for a variety of applications. Therefore, customers increasingly expect climate services to not only provide measured data, but also grids of these with the required configurations on an operational basis. Currently, MeteoSwiss is establishing a production chain for delivering data grids by subscription directly from the data warehouse in order to meet the demand for precipitation data grids by governmental, business and science customers. The MeteoSwiss data warehouse runs on an Oracle database linked with an ArcGIS Standard edition geodatabase. The grids are produced by Unix-based software written in R called GRIDMCH which extracts the station data from the data warehouse and stores the files in the file system. By scripts, the netcdf-v4 files are imported via an FME interface into the database. Currently daily and monthly deliveries of daily precipitation grids are available from MeteoSwiss with a spatial resolution of 2.2km x 2.2km. These daily delivered grids are a preliminary based on 100 measuring sites whilst the grid of the monthly delivery of daily sums is calculated out of about 430 stations. Crucial for the absorption by the customers is the understanding of and the trust into the new grid product. Clearly stating needs which can be covered by grid products, the customers require a certain lead time to develop applications making use of the particular grid. Therefore, early contacts and a continuous attendance as well as flexibility in adjusting the production process to fulfill emerging customer needs are important during the introduction period. Gridding over complex terrain can lead to temporally elevated uncertainties in certain areas depending on the weather situation and coverage of measurements. Therefore, careful instructions on the quality and use and the possibility to communicate the uncertainties of gridded data proofed to be essential especially to the business and science customers who require
Fonseca, André; Boaventura, Rui A R; Vilar, Vítor J P
Nutrient nonpoint pollution has a significant impact on water resources worldwide. The main challenge of this work was to assess the application of best management practices in agricultural land to comply with water quality legislation for surface waters. The Hydrological Simulation Program-FORTRAN was used to evaluate water quality of Ave River in Portugal. Best management practices (infiltration basin) (BMP) were applied to agricultural land (for 3, 6, 9, 12, and 15% area) with removal efficiencies of 50% for fecal coliforms and 30% for nitrogen, phosphorus, and biochemical oxygen demand. The inflow of water quality constituents was reduced for all scenarios, with fecal coliforms achieving the highest reduction between 5.8 and 28.9% and nutrients and biochemical oxygen demand between 2 and 13%. Biochemical oxygen demand and orthophosphates concentrations achieved a good water quality status according to the European Legislation for scenarios of BMP applied to 3 and 12% agricultural area, respectively. Fecal coliform levels in Ave River basin require further treatment to fall below the established value in the abovementioned legislation. This study shows that agricultural watersheds such as Ave basins demand special attention in regard to nonpoint pollution sources effects on water quality and nutrient loads.
There is a growing need for urban water managers to take a more holistic view of their water resource systems as population growth, urbanization, and current resource management practices put different stresses on local water resources and urban infrastructure. Total Water Manag...
Since the first oil crisis, energy management constitutes one of the main lines of France's energy policy, together with the development of the national supply and the diversification of the origin of imported energy products. The priority given to petroleum product savings, the effort already made in the field of electro technologies and rational use of electricity, and the temporary surplus of nuclear generation capacity have resulted in less attention given by the players to energy conservation concerning electricity uses, or at least take this into account mainly for competitive uses. The evolution of the stakes involved makes it necessary today to re-examine the role of electricity DSM in the French energy system. This should be done particularly by identifying, through experimentation, the potentials and methods of electricity DSM programs that are desirable from the economic, social and environmental viewpoint. (au)
Rahnama, Samira; Green, Torben; Lyhne, Casper
A prominent feature of the future smart grid is the active participation of the consumer side in ancillary service provision. Grid operators procure ancillary services, including regulating power, voltage control, frequency control, and so on, to ensure safe, reliable, and high-quality electricity...... delivery. Consumers' involvement requires new entities and infrastructure. A so-called aggregator has been introduced as a new player to manage the services that are offered by the consumption units. This paper describes an industrial scale experimental setup for evaluating a particular type of aggregator....... The aggregator aims to provide a distribution grid service from industrial thermal loads through a direct control policy. Our specific case studies are a supermarket refrigeration system and an HVac chiller in conjunction with an ice storage, which are virtually connected to the aggregator. Practical results...
Water has always been scarce in this region, but impacts of climate change ... The research team is working on multi-stakeholder planning and ... To manage water on a small scale, local people build unregulated dams, barriers and dykes.
Schmitz, Christoph; Lotze-Campen, Hermann; Gerten, Dieter; Dietrich, Jan Philipp; Bodirsky, Benjamin; Biewald, Anne; Popp, Alexander
An increasing demand for agricultural goods affects the pressure on global water resources over the coming decades. In order to quantify these effects, we have developed a new agroeconomic water scarcity indicator, considering explicitly economic processes in the agricultural system. The indicator is based on the water shadow price generated by an economic land use model linked to a global vegetation-hydrology model. Irrigation efficiency is implemented as a dynamic input depending on the level of economic development. We are able to simulate the heterogeneous distribution of water supply and agricultural water demand for irrigation through the spatially explicit representation of agricultural production. This allows in identifying regional hot spots of blue water scarcity and explicit shadow prices for water. We generate scenarios based on moderate policies regarding future trade liberalization and the control of livestock-based consumption, dependent on different population and gross domestic product (GDP) projections. Results indicate increased water scarcity in the future, especially in South Asia, the Middle East, and north Africa. In general, water shadow prices decrease with increasing liberalization, foremost in South Asia, Southeast Asia, and the Middle East. Policies to reduce livestock consumption in developed countries not only lower the domestic pressure on water but also alleviate water scarcity to a large extent in developing countries. It is shown that one of the two policy options would be insufficient for most regions to retain water scarcity in 2045 on levels comparable to 2005.
M.Ing. Water demand prediction can be useful for future planning and has a significant economic effect on a city, town or suburb. There are numerous factors influencing water demand and therefore influencing the prediction thereof. The effect of each of these factors on the water demand is called the elasticity of that factor. The main aim of this study is to determine area and income elasticities of demand. This will enable the reader to predict water demand by taking stand size (area) an...
Wisser, Dominik; Oyerinde, Ganiyu; Ibrahim, Moussa; Ibrahim, Boubacar
The countries in West Africa are highly dependent on rainfed agriculture. Changes in the magnitude and timing of precipitation will affect the agricultural output and the economies as a whole. Irrigation is increasingly being considered an important adaptation option to help improve food security of the population that is expected to double in less than 50 years. West Africa is one of the regions where general circulation models (GCM) show the highest disagreements in the direction of future trends of precipitation, making assessments of water availability and the potential for irrigation a difficult task. We use output from a set of dynamically downscaled climate data sets from regional climate modes (RCM) from the CORDEX CMIP5 collection to drive WBMplus, a macroscale hydrological model and simultaneously calculate water demand (livestock, domestic, and irrigation) and availability for a set of land use, and socio economic scenarios around the 2050's for river basins in the ten countries participating in the West African Science Service Center on Climate Change and Adapted Land Use (WASCAL) project. Contrary to earlier results from GCMs, the set of RCMs suggest a consistent increase (~5-10%) in annual precipitation for a majority of the land area in West Africa that translates to slight increases in river flow under natural conditions for most river basins and a opportunities for increasing irrigation during the dry season. However, water demand is projected to more than double for livestock and domestic needs as a result of population growth. Demand for irrigation will rise sharply if irrigation is expanded from the current area (representing less than 3% of all croplands in the region), closer to its potential which is multiple times higher than the existing area. The pressures on water resources in the region will therefore be dominated by pressures arising from increased demand rather than changes in the availability of water and can potentially lead to
The hydropower management along a short-term planning horizon is a determinist problem, which consists in determining the amount of water to be discharged from each reservoir of the system over the defined planning horizon so that to meet the hourly load demand assigned previously. The prime objective here is to ...
Food security is directly linked to water security for food production. Water availability for crop production will be dependent upon precipitation or irrigation, soil water holding capacity, and crop water demand. The linkages among these components in rainfed agricultural systems shows the impact ...
Yao, Albert W.L.; Chi, S.C.
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
of water. In the former case, the water is lost by evaporation and polluted. In the latter case, the water is not lost but heavily polluted. With increasing scarcity, the value of water and the need for controls increase. In this situation, water reuse becomes an option that has been considered exotic......The water resource is under increasing pressure, both from the increase in population and from the wish to improve the living standards of the individual. Water scarcity is defined as the situation where demand is greater than the resource. Water scarcity has two distinctly different dimensions......: water availability and water applicability. The availability is a question of quantitative demand relative to resource. The applicability is a question of quality suitability for the intended use of the water. There is a significant difference in this regard with respect to rural versus urban use...
Pina, André; Silva, Carlos; Ferrão, Paulo
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.
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.
U.S. Environmental Protection Agency — As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water...
U.S. Environmental Protection Agency — As included in this EnviroAtlas dataset, community level domestic water demand is calculated using locally available water use data per capita in gallons of water...
Toth, Elena; Bragalli, Cristiana; Neri, Mattia
In Mediterranean regions, inherently affected by water scarcity conditions, the gap between water availability and demand may further increase in the near future due to both climatic and anthropogenic drivers. In particular, the high degree of urbanization and the concentration of population and activities in coastal areas is often severely impacting the water availability also for the residential sector. It is therefore crucial analysing the importance of both climatic and touristic factors as drivers for the water demand in such areas, to better understand and model the expected consumption in order to improve the water management policies and practices. The study presents an analysis referred to a large number of municipalities, covering almost the whole Romagna region, in Northern Italy, representing one of the most economically developed areas in Europe and characterized by an extremely profitable tourist industry, especially in the coastal cities. For this region it is therefore extremely important to assess the significance of the drivers that may influence the demand in the different periods of the year, that is climatic factors (rainfall depths and occurrence, temperature averages and extremes), but also the presence of tourists, in both official tourist accommodation structures and in holidays homes (and the latter are very difficult to estimate). Analyses on the Italian water industry at seasonal or monthly time scale has been so far, extremely limited in the literature by the scarce availability of data on the water demands, that are made public only as annual volumes. All the study municipalities are supplied by the same water company, who provided monthly consumption volumes data at the main inlet points of the entire distribution network for a period of 7 years (2009-2015). For the same period, precipitation and temperature data have been collected and summarised in indexes representing monthly averages, days of occurrence and over threshold values
Bai, Yun; Wang, Pu; Li, Chuan; Xie, Jingjing; Wang, Yin
Water is one of the most important resources for economic and social developments. Daily water demand forecasting is an effective measure for scheduling urban water facilities. This work proposes a multi-scale relevance vector regression (MSRVR) approach to forecast daily urban water demand. The approach uses the stationary wavelet transform to decompose historical time series of daily water supplies into different scales. At each scale, the wavelet coefficients are used to train a machine-learning model using the relevance vector regression (RVR) method. The estimated coefficients of the RVR outputs for all of the scales are employed to reconstruct the forecasting result through the inverse wavelet transform. To better facilitate the MSRVR forecasting, the chaos features of the daily water supply series are analyzed to determine the input variables of the RVR model. In addition, an adaptive chaos particle swarm optimization algorithm is used to find the optimal combination of the RVR model parameters. The MSRVR approach is evaluated using real data collected from two waterworks and is compared with recently reported methods. The results show that the proposed MSRVR method can forecast daily urban water demand much more precisely in terms of the normalized root-mean-square error, correlation coefficient, and mean absolute percentage error criteria.
S. Sofana Reka
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.
Seyed Hossein Sajadifar
Full Text Available The present study tries to apply the “Partial Adjustment Model” and “Random Effect Model” techniques to the Stone-Greay’s linear expenditure system, in order to estimate the "Residential Seasonal Demand" for water in Arak city. Per capita water consumption of family residences is regressed on marginal price, per capita income, price of other goods, average temperature and average rainfall. Panel data approaches based on a sample of 152 observations from Arak city referred to 1993-2003. From the estimation of the Elasticity-price of the residential water demand, we want to know how a policy of responsive pricing can lead to more efficient household water consumption inArakcity. Results also indicated that summer price elasticity was twice the winter and price and income elasticity was less than 1 in all cases.
Full Text Available This paper presents a completely data-driven and machine-learning-based approach, in two stages, to first characterize and then forecast hourly water demand in the short term with applications of two different data sources: urban water demand (SCADA data and individual customer water consumption (AMR data. In the first case, reliable forecasting can be used to optimize operations, particularly the pumping schedule, in order to reduce energy-related costs, while in the second case, the comparison between forecast and actual values may support the online detection of anomalies, such as smart meter faults, fraud or possible cyber-physical attacks. Results are presented for a real case: the water distribution network in Milan.
de Lange, W. J.
Wim J. de Lange, Geert F. Prinsen, Jacco H. Hoogewoud, Ab A Veldhuizen, Joachim Hunink, Erik F.W. Ruijgh, Timo Kroon Nationwide modeling aims to produce a balanced distribution of climate change effects (e.g. harm on crops) and possible compensation (e.g. volume fresh water) based on consistent calculation. The present work is based on the Netherlands Hydrological Instrument (NHI, www.nhi.nu), which is a national, integrated, hydrological model that simulates distribution, flow and storage of all water in the surface water and groundwater systems. The instrument is developed to assess the impact on water use on land-surface (sprinkling crops, drinking water) and in surface water (navigation, cooling). The regional expertise involved in the development of NHI come from all parties involved in the use, production and management of water, such as waterboards, drinking water supply companies, provinces, ngo's, and so on. Adequate prediction implies that the model computes changes in the order of magnitude that is relevant to the effects. In scenarios related to drought, adequate prediction applies to the water demand and the hydrological effects during average, dry, very dry and extremely dry periods. The NHI acts as a part of the so-called Deltamodel (www.deltamodel.nl), which aims to predict effects and compensating measures of climate change both on safety against flooding and on water shortage during drought. To assess the effects, a limited number of well-defined scenarios is used within the Deltamodel. The effects on demand of fresh water consist of an increase of the demand e.g. for surface water level control to prevent dike burst, for flushing salt in ditches, for sprinkling of crops, for preserving wet nature and so on. Many of the effects are dealt with by regional and local parties. Therefore, these parties have large interest in the outcome of the scenario analyses. They are participating in the assessment of the NHI previous to the start of the analyses
Full Text Available Pakistan is currently facing physical and economic water scarcity issues that are further complicated by the rapid increase in its population and by climate change. Many studies have focused on the physical water scarcity using hydrological modeling and the measurement of the impact of climate change on water resources in the Upper Indus Basin (UIB. However, few studies have concentrated on the importance of the economic water scarcity, that is, the water management issue under the looming impacts of climate change and the population explosion of Pakistan. The purpose of this study is to develop a management strategy which helps to achieve water security and sustainability in the Upper Indus Basin (UIB with the help of different socio-economic and climate change scenarios using WEAP (Water Evaluation and Planning modeling. The streamflow data of five sub-basins (Gilgit, Hunza, Shigar, Shyok, and Astore and the entire Upper Indus Basin (UIB were calibrated (2006–2010 and validated (2011–2014 in the WEAP model. The coefficient of determination and Nash Sutcliffe values for the calibration period ranged from 0.81–0.96. The coefficient of determination and the Nash Sutcliffe values for the validation period ranged from 0.85–0.94. After the development of the WEAP model, the analysis of the unmet water demand and percent coverage of the water demand for the period of 2006–2050 was computed. Different scenarios were generated for external driving factors (population growth, urbanization, and living standards and the impact of climate change to evaluate their effect on the current water supply system. The results indicated that the future unmet water demand is likely to reach 134 million cubic meters (mcm by the year 2050 and that the external driving factors are putting more pressure on the supply service. This study further explores the importance of proposed dams (likely to be built until 2025 by WAPDA (Water and Power Development
Ge Sun; James M. Vose
The Earth has entered the Anthropocene epoch that is dominated by humans who demandÂ unprecedented quantities of goods and services from forests. The science of forest hydrologyÂ and watershed management generated during the past century provides a basic understandingÂ of relationships among forests and water and offers management principles that maximize theÂ benefits of...
Since 1995, the Nova Scotia Department of the Environment has been the lead agency responsible for water resource management in the province. The agency's mandate has been to establish a water resource management strategy and to report periodically to the people of the province on the state of the environment, including air, water and waste resource management. One of the Department's goals is to ensure that surface and groundwater resources are being adequately protected. This paper summarizes issues related to dams and how they will be addressed. The Department allocates water through approvals and regulates use and alteration of watercourses. The construction of a dam and water withdrawal for municipal, industrial, hydroelectric or other purposes requires an approval. The major concerns with these activities are flows to sustain downstream habitat, competing demand for water, public safety, and water quality impacts. The main water management actions established under the water strategy involve: (1) geo-referencing water resource use and allocation, (2) protecting water quality, (3) integrating management of natural resources, and (4) promoting partnership in stewardship
Jordaan, Dawid Benjamin; Van Der Vyver, Charles
Water management has been carried out for many centuries wherever there has been a need to provide water to large numbers of people. Complex social norms have developed around water management and competing users have established political (governance) and economic cooperative relationships. For example, community-managed irrigation schemes in Bali and the cloud-collection canals built by the Incas at Inca Pirca in Peru are examples of water management systems which still currently supply wat...
Full Text Available -term water demand (STWD) forecasts. In view of this, an overview of forecasting methods for STWD prediction is presented. Based on that, a comparative assessment of the performance of alternative forecasting models from the different methods is studied. Times...
Rietveld, Piet; Rouwendal, Jan; Zwart, Bert
In this paper the Burtless and Hausman model is used to estimate water demand in Salatiga, Indonesia. Other statistical models, as OLS and IV, are found to be inappropiate. A topic, which does not seem to appear in previous studies, is the fact that the density function of the loglikelihood can be
Agudelo-Vera, C.; Blokker, M.; Vreeburg, J.; Bongard, T.; Hillegers, S.; Van der Hoek, J.P.
A methodology to determine the robustness of the drinking water distribution system is proposed. The performance of three networks under ten future demand scenarios was tested, using head loss and residence time as indicators. The scenarios consider technological and demographic changes. Daily
Rimmer, Melanie; Ablard, Suzanne; O'Keeffe, Colin; Mason, Suzanne
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
Mohler, M J; Harris, J M
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.
Sharon B. Megdal
Full Text Available Managed Aquifer Recharge (MAR and water banking are of increasing importance to water resources management. MAR can be used to buffer against drought and changing or variable climate, as well as provide water to meet demand growth, by making use of excess surface water supplies and recycled waters. Along with hydrologic and geologic considerations, economic and policy analyses are essential to a complete analysis of MAR and water banking opportunities. The papers included in this Special Issue fill a gap in the literature by revealing the range of economic and policy considerations relevant to the development and implementation of MAR programs. They illustrate novel techniques that can be used to select MAR locations and the importance and economic viability of MAR in semi-arid to arid environments. The studies explain how MAR can be utilized to meet municipal and agricultural water demands in water-scarce regions, as well as assist in the reuse of wastewater. Some papers demonstrate how stakeholder engagement, ranging from consideration of alternatives to monitoring, and multi-disciplinary analyses to support decision-making are of high value to development and implementation of MAR programs. The approaches discussed in this collection of papers, along with the complementary and necessary hydrologic and geologic analyses, provide important inputs to water resource managers.
In the water distribution network water quality process take place influenced by de flow velocity and residence time of the water in the network. In order to understand how the water quality changes in the water distribution network, a good understanding of hydraulics is required. Specifically in
Han, Bangshuai; Benner, Shawn G.; Bolte, John P.; Vache, Kellie B.; Flores, Alejandro N.
Humans have significantly altered the redistribution of water in intensively managed hydrologic systems, shifting the spatiotemporal patterns of surface water. Evaluating water availability requires integration of hydrologic processes and associated human influences. In this study, we summarize the development and evaluation of an extensible hydrologic model that explicitly integrates water rights to spatially distribute irrigation waters in a semi-arid agricultural region in the western US, using the Envision integrated modeling platform. The model captures both human and biophysical systems, particularly the diversion of water from the Boise River, which is the main water source that supports irrigated agriculture in this region. In agricultural areas, water demand is estimated as a function of crop type and local environmental conditions. Surface water to meet crop demand is diverted from the stream reaches, constrained by the amount of water available in the stream, the water-rights-appropriated amount, and the priority dates associated with particular places of use. Results, measured by flow rates at gaged stream and canal locations within the study area, suggest that the impacts of irrigation activities on the magnitude and timing of flows through this intensively managed system are well captured. The multi-year averaged diverted water from the Boise River matches observations well, reflecting the appropriation of water according to the water rights database. Because of the spatially explicit implementation of surface water diversion, the model can help diagnose places and times where water resources are likely insufficient to meet agricultural water demands, and inform future water management decisions.
Full Text Available This paper proposes a short-term water demand forecasting method based on the use of the Markov chain. This method provides estimates of future demands by calculating probabilities that the future demand value will fall within pre-assigned intervals covering the expected total variability. More specifically, two models based on homogeneous and non-homogeneous Markov chains were developed and presented. These models, together with two benchmark models (based on artificial neural network and naïve methods, were applied to three real-life case studies for the purpose of forecasting the respective water demands from 1 to 24 h ahead. The results obtained show that the model based on a homogeneous Markov chain provides more accurate short-term forecasts than the one based on a non-homogeneous Markov chain, which is in line with the artificial neural network model. Both Markov chain models enable probabilistic information regarding the stochastic demand forecast to be easily obtained.
Full Text Available This paper aims to highlight some of the main issues raised by developing and implementing the most appropriate approach to water pricing, and to induce a sustainable water management. Therefore, we define the concept and utility of water demand management as one objective of efficient water pricing. Next we analyse the basic economics and some important theoretical insights of water pricing. We further with state the main four inter-correlated principles of sustainable water pricing (full-cost recovery, economic efficiency,equity and administrative feasability and the trends and challenges of their actual implementing in the water pricing policy of Romania and other EU countries. We end with a review of opinions, personal conclusions and recommendations on the actual opportunity, effectiveness and role of efficient water pricing in fulfilling the goals of sustainabilty.
Ibarrola-Rivas, M. J.; Granados-Ramirez, R.; Nonhebel, S.
Land and water are essential local resources for food production but are limited. The main drivers of increasing food demand are population growth and dietary changes, which depend on the socioeconomic situation of the population. These two factors affect the availability of local resources:
Irene M. Johannsen
Full Text Available Regions of scarce fresh water resources, such as the Middle East and North Africa, are facing great challenges already today, and even more in the future, due to climatic and socioeconomic changes. The Middle Drâa valley in Morocco is one of many semi-arid to arid mountainous areas struggling with increasing water scarcity threatening self-sufficient husbandry. In order to maintain people’s livelihoods water management needs to be adapted. The Water Evaluation And Planning System (WEAP software has been widely used to examine complex water systems in the water resource planning sector all around the world and proved to be a helpful asset to show the various interactions of water supply and demand. This paper presents the application of WEAP on the Middle Draâ valley’s water demand and supply, including several socioeconomic and land use scenarios under one basic climate change scenario. The climate scenario shows a significant decrease in available water resources up to 2029 while all socioeconomic scenarios show an increase in water demand. In years of droughts groundwater is used for irrigation, leading to increasingly depleted aquifers. The aquifers are recharged by percolation losses from irrigation and by river bed infiltration the latter of which is stronger in the northern oases than in the southern oases due to water withdrawal rules. A drastic reduction of irrigated agricultural area is the only solution to guarantee sustainable water use.
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.
Full Text Available Despite the fact that both surface and groundwater resources inside and outside the city of Mashhad have been already exploited to their maximum capacity and that the large water transfer Doosti Dam Project has been already implemented to transfer a considerable quanity of water to Mashhad, the city will be encountering a daily water shortage of about 1.7 m3/s by 2021. The problem would be even worse if the quality of the water resources are taken into account, in which case, the shortage would start even sooner in 2011 when the water deficit will be about 0.9 m3/s. As a result, it is essential to develop short- and medium-term strategies for secure adequate water supplies for the city's domestic water demand. The present study aims to carry out a qualitative and quantitative modeling of surface and groundwater resources supplying Mashhad domestic water. The qualitative model is based on the quality indices of surface and groundwater resources according to which the resources are classified in the three quality categories of resources with no limitation, those with moderate limitations, and those with high limitations for use as domestic water supplies. The pressure zones are then examined with respect to the potable water demand and supply to be simulated in the MODSIM environment. The model thus developed is verified for the 2012 data based on the measures affecting water resources in the region and various scenarios are finally evaluated for a long-term 30-year period. Results show that the peak hourdaily water shortage in 2042for the zone supplied from no limitation resources will be 38%. However, this value will drop to 28% if limitations due to resource quality are also taken into account. Finally, dilution is suggested as a solution for exploiting the maximum quantitative and qualitative potential of the resources used as domestic water supplies. In this situation, the daily peak hour water shortage will be equal to 31%.
Kulinkina, Alexandra V; Kosinski, Karen C; Liss, Alexander; Adjei, Michael N; Ayamgah, Gilbert A; Webb, Patrick; Gute, David M; Plummer, Jeanine D; Naumova, Elena N
Continuous access to adequate quantities of safe water is essential for human health and socioeconomic development. Piped water systems (PWSs) are an increasingly common type of water supply in rural African small towns. We assessed temporal and spatial patterns in water consumption from public standpipes of four PWSs in Ghana in order to assess clean water demand relative to other available water sources. Low water consumption was evident in all study towns, which manifested temporally and spatially. Temporal variability in water consumption that is negatively correlated with rainfall is an indicator of rainwater preference when it is available. Furthermore, our findings show that standpipes in close proximity to alternative water sources such as streams and hand-dug wells suffer further reductions in water consumption. Qualitative data suggest that consumer demand in the study towns appears to be driven more by water quantity, accessibility, and perceived aesthetic water quality, as compared to microbiological water quality or price. In settings with chronic under-utilization of improved water sources, increasing water demand through household connections, improving water quality with respect to taste and appropriateness for laundry, and educating residents about health benefits of using piped water should be prioritized. Continued consumer demand and sufficient revenue generation are important attributes of a water service that ensure its function over time. Our findings suggest that analyzing water consumption of existing metered PWSs in combination with qualitative approaches may enable more efficient planning of community-based water supplies and support sustainable development. Copyright © 2016 Elsevier B.V. All rights reserved.
Hydroelectric power has been used in Ontario for over 150 years, providing the impetus to economic development in the province. Currently, 83 hydroelectric utilities own the more than 200 hydro power facilities in Ontario, accounting for approximately 26 per cent of the total electrical generating capacity in the province. Flood control and the creation of recreational opportunities were added benefits derived from the construction of hydroelectric dams. The three ways of operating hydroelectric facilities are: run-of-the-river which involves minimal forebay storage, peaking which involves the operation of the dam for specific periods of high energy demand, and intermediate. The Ontario government plans to open the electricity market to competition, guided by four principles: (1) protecting consumers and offering more choice, (2) ensuring a strong business climate with a reliable supply of electricity, (3) protecting the environment, and (4) encouraging new ways of doing business and new sources of power. To address issues that arise from the operation of hydroelectric facilities, dam owners and hydroelectric facilities operators are required to develop Water Management Plans, outlining how the facility will be operated to balance environmental, social and economic objectives. The present document was developed to define goals and principles concerning planning, the scope of Water Management Plans, the criteria and the general planning process to be adopted for the preparation of the Plans. 1 tab., 4 figs
Nahrul Khair Alang Md Rashid
At first instance, Nuclear Science and Technology (NST) appears to have no relation to water resource management. Its dark side, the sole purpose of which is weaponry, has for a long time overshadowed its bright side, which has plenty of peaceful applications in the main socio-economic development sectors: power generation, agriculture, health and medicine, industry, manufacturing and environment. Historically, the medical sector is one of the early beneficiaries of the applications of NST. The same is true for Malaysia when the first x-ray machine was installed in 1897 at Taiping Hospital, Perak. In the environment sector, the use of little or no chemical in nuclear processes contributes to a cleaner environment. Nuclear power plants for example do not emit polluting gases and do not harm to the ozone layer. At the end of 2004, there are more than 440 nuclear power reactors operating in more than 30 countries fulfilling 17% of the world electricity demand, and it is growing. While nuclear power is yet to arrive in Malaysia the uses of NST in other areas are increasing. The application of radiotracer techniques in water resource management, in the environment, as well as in industry is an example. (Author)
Davidsen, Claus; Liu, Suxia; Mo, Xingguo
Few studies address water quality in hydro-economic models, which often focus primarily on optimal allocation of water quantities. Water quality and water quantity are closely coupled, and optimal management with focus solely on either quantity or quality may cause large costs in terms of the oth......-er component. In this study, we couple water quality and water quantity in a joint hydro-economic catchment-scale optimization problem. Stochastic dynamic programming (SDP) is used to minimize the basin-wide total costs arising from water allocation, water curtailment and water treatment. The simple water...... quality module can handle conservative pollutants, first order depletion and non-linear reactions. For demonstration purposes, we model pollutant releases as biochemical oxygen demand (BOD) and use the Streeter-Phelps equation for oxygen deficit to compute the resulting min-imum dissolved oxygen...
Kern, E.C.; Spiegel, R.J.
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
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
Ward, Richard A
Water is necessary for all hemodialysis treatments. However, drinking water contains a range of substances that are toxic to patients on hemodialysis. Thus, all dialysis facilities are equipped with a water treatment system that removes those substances from the water before it is used to prepare dialysate. Increased demand for water and ever-evolving drinking water regulations are leading to changes in drinking water quality that may compromise the ability of typical dialysis water treatment systems to adequately remove substances that are known to be toxic or to deal with unexpected increases in other substances of unknown toxicity. In addition to these external challenges to dialysis water quality, the growing recognition that microbial contaminants in dialysate contribute to long-term morbidity has led to more stringent microbiological quality standards for dialysate and a consequent need to control biofilm formation in the fluid pathways involved in dialysate preparation. Avoiding toxicity from water contaminants in this dynamic environment requires a comprehensive approach to water treatment, including flexibility regarding the choice of water treatment processes, close communication with the suppliers of drinking water, and an emphasis on training technicians responsible for monitoring and maintaining all aspects of the fluid handling systems. Copyright © 2011 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.
Ali, Babkir; Kumar, Amit
Highlights: • We develop water consumption and withdrawals coefficients for coal power generation. • We develop life cycle water footprints for 36 coal-based electricity generation pathways. • Different coal power generation technologies were assessed. • Sensitivity analysis of plant performance and coal transportation on water demand. - Abstract: This paper aims to develop benchmark coefficients for water consumption and water withdrawals over the full life cycle of coal-based power generation. This study considered not only all of the unit operations involved in the full electricity generation life cycle but also compared different coal-based power generating technologies. Overall this study develops the life cycle water footprint for 36 different coal-based electricity generation pathways. Power generation pathways involving new technologies of integrated gasification combined cycle (IGCC) or ultra supercritical technology with coal transportation by conventional means and using dry cooling systems have the least complete life cycle water-demand coefficients of about 1 L/kW h. Sensitivity analysis is conducted to study the impact of power plant performance and coal transportation on the water demand coefficients. The consumption coefficient over life cycle of ultra supercritical or IGCC power plants are 0.12 L/kW h higher when conventional transportation of coal is replaced by coal-log pipeline. Similarly, if the conventional transportation of coal is replaced by its transportation in the form of a slurry through a pipeline, the consumption coefficient of a subcritical power plant increases by 0.52 L/kW h
Drouiche, Nadjib; Ghaffour, NorEddine; Naceur, Mohamed Wahib; Lounici, Hakim; Drouiche, Madani
Algeria aspires to protect its water resources and to provide a sustainable answer to water supply and management issues by carrying out a national water plan. This program is in line with all projects the Algerian Government is implementing
PMCs), technically known as Water and Sanitation Committees (WATSAN) in the water sector, are institutionalized organs for community water management. A survey of twenty-seven (27) of these institutions in six districts across the Upper ...
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.
Roon, Serafin von; Gobmaier, Thomas [FfE Forschungsstelle fuer Energiewirtschaft e.V., Muenchen (Germany); Huck, Malte
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.)
speed boating and jet skiing represent. 20%, 65%, 7.5% and 7.5%, respectively. This implies 4.6 angling boats, 48.75 leisure boats, 0.675 water skiers or speed boaters ..... Theory and Application to Travel Demand. MIT Press ...
Tortajada, Cecilia; Castelán, Enrique
The paper presents an overview of the present situation of the Mexico City Metropolitan Area (MCMA). The analysis indicates an urgent need to radically improve the current water supply and wastewater management practices, to become sustainable. The MCMA is one of the most rapidly growing urban centers of the world, with a population of about 21 million people, a very high rate of immigration and numerous illegal settlements. In order to meet the increasing water demand, successive governments have focused almost exclusively on supply management and engineering solutions, which have resulted in investments of hundreds of millions of USD and the construction of major infrastructure projects for interbasin water transfer. Environmental, economic and social policies associated with water management are mostly inadequate and insufficient, which is resulting in increasing deterioration in the environment, health and socioeconomic conditions of a population living in one of the largest urban agglomerations of the world. Surprisingly, however, no long-term strategies on demand-management, reuse, conservation, and improved water-management practices have been developed so far.
Rodrigo Lopez Farias
Full Text Available This paper presents a multi-model predictor called Qualitative Multi-Model Predictor Plus (QMMP+ for demand forecast in water distribution networks. QMMP+ is based on the decomposition of the quantitative and qualitative information of the time-series. The quantitative component (i.e., the daily consumption prediction is forecasted and the pattern mode estimated using a Nearest Neighbor (NN classifier and a Calendar. The patterns are updated via a simple Moving Average scheme. The NN classifier and the Calendar are executed simultaneously every period and the most suited model for prediction is selected using a probabilistic approach. The proposed solution for water demand forecast is compared against Radial Basis Function Artificial Neural Networks (RBF-ANN, the statistical Autoregressive Integrated Moving Average (ARIMA, and Double Seasonal Holt-Winters (DSHW approaches, providing the best results when applied to real demand of the Barcelona Water Distribution Network. QMMP+ has demonstrated that the special modelling treatment of water consumption patterns improves the forecasting accuracy.
Koizumi, Akira; Suehiro, Miki; Arai, Yasuhiro; Inakazu, Toyono; Masuko, Atushi; Tamura, Satoshi; Ashida, Hiroshi
The purpose of this study is to define one apartment complex as "the water supply block" and to show the relationship between the amount of water supply for an apartment house and its time series fluctuation. We examined the observation data which were collected from 33 apartment houses. The water meters were installed at individual observation points for about 20 days in Tokyo. This study used Fourier analysis in order to grasp the irregularity in a time series data. As a result, this paper demonstrated that the smaller the amount of water supply became, the larger irregularity the time series fluctuation had. We also found that it was difficult to describe the daily cyclical pattern for a small apartment house using the dominant periodic components which were obtained from a Fourier spectrum. Our research give useful information about the design for a directional water supply system, as to making estimates of the hourly fluctuation and the maximum daily water demand.
Zhang, S.; Jing, X.
Rainwater harvesting is now increasingly used to manage urban flood and alleviate water scarcity crisis. In this study, a computational tool based on water balance equation is developed to assess stormwater capture and water saving efficiency and economic viability of rainwater harvesting systems (RHS) in eight cities across four climatic zones of China. It requires daily rainfall, contributing area, runoff losses, first flush volume, storage capacity, daily water demand and economic parameters as inputs. Three non-potable water demand scenarios (i.e., toilet flushing, lawn irrigation, and combination of them) are considered. The water demand for lawn irrigation is estimated using the Cropwat 8.0 and Climwat 2.0. Results indicate that higher water saving efficiency and water supply time reliability can be achieved for RHS with larger storage capacities, for lower water demand scenarios and located in more humid regions, while higher stormwater capture efficiency is associated with larger storage capacity, higher water demand scenarios and less rainfall. For instance, a 40 m3 RHS in Shanghai (humid climate) for lawn irrigation can capture 17% of stormwater, while its water saving efficiency and time reliability can reach 96 % and 98%, respectively. The water saving efficiency and time reliability of a 20 m3 RHS in Xining (semi-arid climate) for toilet flushing are 19% and 16%, respectively, but it can capture 63% of stormwater. With the current values of economic parameters, economic viability of RHS can be achieved in humid and semi-humid regions for reasonably designed RHS; however, it is not financially viable to install RHS in arid regions as the benefit-cost ratio is much smaller than 1.0.
Leng, Yan; Rudolph, Larry; Pentland, Alex 'Sandy'; Zhao, Jinhua; Koutsopolous, Haris N.
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...
Moheb-Alizadeh, Hadi; Handfield, Robert B.
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...
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.
Al-Mulla, A.; ElSherbini, A.
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
Sossan, Fabrizio; Marinelli, Mattia
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...
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
Dambrauskas, Paulius; Syed, Mazheruddin H.; Blair, Steven M.
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...
Yang, W.; Veeneman, W.; de Jong, W.M.
Transport demand management (TDM) measures are widely regarded as essential tools to deal with traffic issues. Their effectiveness has been under scrutiny. Packaging of TDM measures has recently received much attention from researchers and governments because it can achieve more complex policy goals
Canever, M.D.; Trijp, van J.C.M.; Beers, G.
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
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
Zong, Yi; You, Shi; Hu, Junjie
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....
Hoogsteen, Gerwin; Molderink, Albert; Hurink, Johann L.; Smit, Gerardus Johannes Maria
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
Kessels, J.T.B.A.; Bosch, van den P.P.J.; Koot, M.W.T.; Jager, de A.G.
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
Maytham S. Ahmed
Full Text Available Demand response (DR program can shift peak time load to off-peak time, thereby reducing greenhouse gas emissions and allowing energy conservation. In this study, the home energy management scheduling controller of the residential DR strategy is proposed using the hybrid lightning search algorithm (LSA-based artificial neural network (ANN to predict the optimal ON/OFF status for home appliances. Consequently, the scheduled operation of several appliances is improved in terms of cost savings. In the proposed approach, a set of the most common residential appliances are modeled, and their activation is controlled by the hybrid LSA-ANN based home energy management scheduling controller. Four appliances, namely, air conditioner, water heater, refrigerator, and washing machine (WM, are developed by Matlab/Simulink according to customer preferences and priority of appliances. The ANN controller has to be tuned properly using suitable learning rate value and number of nodes in the hidden layers to schedule the appliances optimally. Given that finding proper ANN tuning parameters is difficult, the LSA optimization is hybridized with ANN to improve the ANN performances by selecting the optimum values of neurons in each hidden layer and learning rate. Therefore, the ON/OFF estimation accuracy by ANN can be improved. Results of the hybrid LSA-ANN are compared with those of hybrid particle swarm optimization (PSO based ANN to validate the developed algorithm. Results show that the hybrid LSA-ANN outperforms the hybrid PSO based ANN. The proposed scheduling algorithm can significantly reduce the peak-hour energy consumption during the DR event by up to 9.7138% considering four appliances per 7-h period.
MacCuspie, Robert I.; Allen, Andrew J.; Martin, Matthew N.; Hackley, Vincent A.
Silver nanoparticles (AgNPs) are of interest due to their antimicrobial attributes, which are derived from their inherent redox instability and subsequent release of silver ions. At the same time, this instability is a substantial challenge for achieving stable long-term storage for on-demand use of AgNPs. In this study, we describe and validate a “just add water” approach for achieving suspensions of principally singly dispersed AgNPs. By lyophilizing (freeze drying) the formulated AgNPs into a solid powder, or cake, water is removed thereby eliminating solution-based chemical changes. Storing under inert gas further reduces surface reactions such as oxidation. An example of how to optimize a lyophilization formulation is presented, as well as example formulations for three AgNP core sizes. This “just add water” approach enables ease of use for the researcher desiring on-demand singly dispersed AgNP suspensions from a single master batch. Implementation of this methodology will enable studies to be performed over long periods of time and across different laboratories using particles that are identical chemically and physically and available on-demand. In addition, the approach of freeze drying and on-demand reconstitution by adding water has enabled the development of AgNP reference materials with the required shelf-life stability, one of the principal objectives of this research
Full Text Available Population and industry growth in dry climates are fully tied to significant increase in water and energy demands. Because water affects many economic, social and environmental aspects, an interdisciplinary approach is needed to solve current and future water scarcity problems, and to minimize energy requirements in water production. Such a task requires integrated water modeling tools able to couple surface water and groundwater, which allow for managing complex basins where multiple stakeholders and water users face an intense competition for limited freshwater resources. This work develops an integrated water resource management model to investigate the water-energy nexus in reducing water stress in the Copiapó River basin, an arid, highly vulnerable basin in northern Chile. The model was utilized to characterize groundwater and surface water resources, and water demand and uses. Different management scenarios were evaluated to estimate future resource availability, and compared in terms of energy requirements and costs for desalinating seawater to eliminate the corresponding water deficit. Results show a basin facing a very complex future unless measures are adopted. When a 30% uniform reduction of water consumption is achieved, 70 GWh over the next 30 years are required to provide the energy needed to increase the available water through seawater desalination. In arid basins, this energy could be supplied by solar energy, thus addressing water shortage problems through integrated water resource management combined with new technologies of water production driven by renewable energy sources.
Porteiro, Jacobo; Míguez, José Luis; Crespo, Bárbara; de Lara, José; Pousada, José María
Advantages, such as thermal storage improvement, are found when using PCMs (Phase Change Materials) in storage tanks. The inclusion of three different types of materials in a 60 l test tank is studied. Two test methodologies were developed, and four tests were performed following each methodology. A thermal analysis is performed to check the thermal properties of each PCM. The distributions of the water temperatures inside the test tanks are evaluated by installing four Pt-100 sensors at different heights. A temperature recovery is observed after exposing the test tank to an energy demand. An energetic analysis that takes into account the energy due to the water temperature, the energy due to the PCM and the thermal loss to the ambient environment is also presented. The percentage of each PCM that remains in the liquid state after the energy demand is obtained.
Full Text Available Advantages, such as thermal storage improvement, are found when using PCMs (Phase Change Materials in storage tanks. The inclusion of three different types of materials in a 60 l test tank is studied. Two test methodologies were developed, and four tests were performed following each methodology. A thermal analysis is performed to check the thermal properties of each PCM. The distributions of the water temperatures inside the test tanks are evaluated by installing four Pt-100 sensors at different heights. A temperature recovery is observed after exposing the test tank to an energy demand. An energetic analysis that takes into account the energy due to the water temperature, the energy due to the PCM and the thermal loss to the ambient environment is also presented. The percentage of each PCM that remains in the liquid state after the energy demand is obtained.
Vásquez Lavín, F. A.; Hernandez, J. I.; Ponce, R. D.; Orrego, S. A.
During recent decades, water demand estimation has gained considerable attention from scholars. From an econometric perspective, the most used functional forms include log-log and linear specifications. Despite the advances in this field and the relevance for policymaking, little attention has been paid to the functional forms used in these estimations, and most authors have not provided justifications for their selection of functional forms. A discrete continuous choice model of the residential water demand is estimated using six functional forms (log-log, full-log, log-quadratic, semilog, linear, and Stone-Geary), and the expected consumption and price elasticity are evaluated. From a policy perspective, our results highlight the relevance of functional form selection for both the expected consumption and price elasticity.
Bergaentzlé, Claire; Clastres, Cédric; Khalfallah, Haikel
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
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.
Pop, Claudia; Cioara, Tudor; Antal, Marcel; Anghel, Ionut; Salomie, Ioan; Bertoncini, Massimo
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
Pop, Claudia; Cioara, Tudor; Antal, Marcel; Anghel, Ionut; Salomie, Ioan; Bertoncini, Massimo
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.
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.
Pedro Domingos Antoniolli
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
Xiangfeng Zhang; Lei Gao; Damian Barrett; Yun Chen
To move towards sustainable development, the mining industry needs to identify better mine water management practices for reducing raw water use, increasing water use efficiency, and eliminating environmental impacts in a precondition of securing mining production. However, the selection of optimal mine water management practices is technically challenging due to the lack of scientific tools to comprehensively evaluate management options against a set of conflicting criteria. This work has pr...
Aldaya, Maite; Hoekstra, Arjen
In a context where water resources are unevenly distributed and, in some regions precipitation and drought conditions are increasing, enhanced water management is a major challenge to final consumers, businesses, water resource users, water managers and policymakers in general. By linking a large range of sectors and issues, virtual water trade and water footprint analyses provide an appropriate framework to find potential solutions and contribute to a better management of water resources. The water footprint is an indicator of freshwater use that looks not only at direct water use of a consumer or producer, but also at the indirect water use. The water footprint of a product is the volume of freshwater used to produce the product, measured over the full supply chain. It is a multi-dimensional indicator, showing water consumption volumes by source and polluted volumes by type of pollution; all components of a total water footprint are specified geographically and temporally. The water footprint breaks down into three components: the blue (volume of freshwater evaporated from surface or groundwater systems), green (water volume evaporated from rainwater stored in the soil as soil moisture) and grey water footprint (the volume of polluted water associated with the production of goods and services). Closely linked to the concept of water footprint is that of virtual water trade, which represents the amount of water embedded in traded products. Many nations save domestic water resources by importing water-intensive products and exporting commodities that are less water intensive. National water saving through the import of a product can imply saving water at a global level if the flow is from sites with high to sites with low water productivity. Virtual water trade between nations and even continents could thus be used as an instrument to improve global water use efficiency and to achieve water security in water-poor regions of the world. The virtual water trade
Safavi, Hamid R.; Golmohammadi, Mohammad H.; Sandoval-Solis, Samuel
The goal of this study is to develop and analyze three scenarios in the Zayandehrud river basin in Iran using a model already built and calibrated by Safavi et al. (2015) that has results for the baseline scenario. Results from the baseline scenario show that water demands will be supplied at the cost of depletion of surface and ground water resources, making this scenario undesirable and unsustainable. Supply Management, Demand Management, and Meta (supply and demand management) scenarios are the selected scenarios in this study. They are to be developed and declared into the Zayandehrud model to assess and evaluate the imminent status of the basin. Certain strategies will be employed for this purpose to improve and rectify the current management policies. The five performance criteria of time-based and volumetric reliability, resilience, vulnerability, and maximum deficit will be employed in the process of scenario analysis and evaluation. The results obtained from the performance criteria will be summed up into a so-called 'Water Resources Sustainability Index' to facilitate comparison among the likely trade-offs. Uncertainties arising from historical data, management policies, rainfall-runoff model, demand priorities, and performance criteria are considered in the proposed conceptual framework and modeled by appropriate approaches. Results show that the Supply Management scenario can be used to improve upon the demand supply but that it has no tangible effects on the improvement of the resources in the study region. In this regard, the Demand Management scenario is found to be more effective than the water supply one although it still remains unacceptable. Results of the Meta scenario indicate that both the supply and demand management scenarios must be applied if the water resources are to be safeguarded against degradation and depletion. In other words, the supply management scenario is necessary but not adequate; rather, it must be coupled to the demand
Irene Domenes Zapparoli
Full Text Available This article aims to verify the demands for the use and reuse of water in the municipality of Londrina and energy production in the Tibagi River, Paraná, Brazil. The material and method are composed of bibliographic review, having as a conceptual and the principles governing the environmental public policy. As primary source analyzes the documents "term of reference for preparation of the submission of the plan of the Tibagi River ", project municipality of Londrina "farmer water guard" and the "program of conservation, rational use and reuse of water in the city of Londrina" and the delimitation of the study marched on the Tibagi River and the municipality of Londrina in the state of Paraná, Brazil. The results show that for preservation of the basin, the state and some municipalities have certain laws and water resources management projects, but not sufficient. For that to occur a conservation more efficient, effective in practice is required for some laws to ensure the water, multi-use and awareness of the population that also has the duty to protect and conserve this resource so essential to the human being. Unable to verify that the adoption of instruments on economic, social and marketing. The study leads to the conclusion that the interests comes if splitting between energy production and sanitation. This study has not exhausted the subject search continuity and suggests how other instruments of financial compensation for attendance to this environmental services market that uses water as a raw material.
Goodarzi, Mustafa; Abedi-Koupai, Jahangir; Heidarpour, Manouchehr
In this study, the impacts of climate change on crop water requirements and irrigation water requirements on the regional cropping pattern were evaluated using two climate change scenarios and combinations of 20 GCM models. Different models including CROPWAT, MODFLOW, and statistical models were used to evaluate the climate change impacts. The results showed that in the future period (2017 to 2046) the temperature in all months of the year will increase at all stations. The average annual precipitation decline in Isfahan, Tiran, Flavarjan, and Lenj stations for RCP 4.5 and RCP 8.5 scenarios are 18.6 and 27.6%, 15.2 and 18%, 22.5 and 31.5%, and 10.5 and 12.1%, respectively. The average increase in the evapotranspiration for RCP 4.5 and RCP 8.5 scenarios are about 2.5 and 4.1%, respectively. The irrigation water demands increases considerably and for some crops, on average 18%. Among the existing crops in the cropping pattern, barley, cumin, onion, wheat, and forage crops are more sensitive and their water demand will increase significantly. Results indicate that climate change could have a significant impact on water resources consumption. By considering irrigation efficiency in the region, climate change impacts will result in about 35 to 50 million m 3 /year, over-extraction from the aquifer. This additional exploitation causes an extra drop of 0.4 to 0.8 m in groundwater table per year in the aquifer. Therefore, with regard to the critical condition of the aquifer, management and preventive measures to deal with climate change in the future is absolutely necessary. © 2018, National Ground Water Association.
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
Caetano, E.F.; Mendonca, J.E.; Pagot, P.R.; Cotrim, M.L.; Camargo, R.M.T.; Assayag, M.I.
This paper presents the importance of deep water scenario for Brazil, the PETROBRAS Deep and Ultra-Deep Water R and D Program (PROCAP-2000) and the candidate fields for the deployment of subsea innovative boosting technologies (ESPS -- electrical submersible pump in subsea wells, SSS -- subsea separation systems and SBMS -- subsea multiphase flow pumping system) as well as the problems associated with the flow assurance in such conditions. The impact of those innovative systems, their technological stage and remaining demands to make them available for deployment in offshore subsea areas, mainly in giant deepwater fields, are discussed and predicted
Van Weers, A.W.; Zwaard, J.
According to the regulation 6.1 in the current licence Surface Water Pollution Law (WVO, abbreviated in Dutch) of October 10, 1997, ECN carried out the first phase of a study on the title subject with respect to pipes applied in oil and gas exploration. In the present situation water of the so-called pipe-cleaner is transported via a seapipe after precipitation and membrane filtration. Next to the quality demands and economical aspects attention is paid to a number of environmental aspects
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.
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.
Yousefi Khanghah, Babak; Ghassemzadeh, Saeid; Hosseini, Seyed Hossein
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...
Geara, D.; Moilleron, R.; Lorgeoux, C.; El Samarani, A.; Chebbo, Gh.
This paper shows the real situation about management of water and waste water in Lebanon and focuses on problems related to urban water pollution released in environment. Water and waste water infrastructures have been rebuilt since 1992. However, waste water management still remains one of the greatest challenges facing Lebanese people, since water supply projects have been given priority over wastewater projects. As a consequence of an increased demand of water by agricultural, industrial and household sectors in the last decade, waste water flows have been increased. In this paper, the existing waste water treatment plants (WWTP) operating in Lebanon are presented. Most of them are small-scale community-based ones, only two large-scale plants, constructed by the government, are currently operational. Lebanese aquatic ecosystems are suffering from the deterioration of water quality because of an insufficient treatment of waste water, which is limited mostly to pre-treatment processes. In fact, domestic and industrial effluents are mainly conducted together in the sewer pipes to the WWTP before being discharged, without adequate treatment into the rivers or directly into the Mediterranean Sea. Such discharges are threatening the coastal marine ecosystem in the Mediterranean basin. This paper aims at giving the current state of knowledge about water uses and wastewater management in Lebanon. The main conclusion drawn from this state of art is a lack of data. In fact, the available data are limited to academic research without being representative on a national scale. (author)
Judi, David R. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Mcpherson, Timothy N. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Los Alamos National Laboratory (LANL) has used modeling and simulation of water distribution systems for N-1 contingency analyses to assess criticality of water system assets. Critical components considered in these analyses include pumps, tanks, and supply sources, in addition to critical pipes or aqueducts. A contingency represents the complete removal of the asset from system operation. For each contingency, an extended period simulation (EPS) is run using EPANET. An EPS simulates water system behavior over a time period, typically at least 24 hours. It assesses the ability of a system to respond and recover from asset disruption through distributed storage in tanks throughout the system. Contingencies of concern are identified as those in which some portion of the water system has unmet delivery requirements. A delivery requirement is defined as an aggregation of water demands within a service area, similar to an electric power demand. The metric used to identify areas of unmet delivery requirement in these studies is a pressure threshold of 15 pounds per square inch (psi). This pressure threshold is used because it is below the required pressure for fire protection. Any location in the model with pressure that drops below this threshold at any time during an EPS is considered to have unmet service requirements and is used to determine cascading consequences. The outage area for a contingency is the aggregation of all service areas with a pressure below the threshold at any time during the EPS.
During the last two decades, financial incentives : have become common in efforts to reduce : demand on roadways by motivating commuters to : use alternative modes of transportation. Despite : common use, limited effort has been made to : understand ...
Barton, A B; Argue, J R
Global concern over growing urban water demand in the face of limited water resources has focussed attention on the need for better management of available water resources. This paper takes the "fit for purpose" concept and applies it in the development of a model aimed at changing current practices with respect to residential planning by integrating reuse systems into the design layout. This residential reuse model provides an approach to the design of residential developments seeking to maximise water reuse. Water balance modelling is used to assess the extent to which local water resources can satisfy residential demands with conditions based on the city of Adelaide, Australia. Physical conditions include a relatively flat topography and a temperate climate, with annual rainfall being around 500 mm. The level of water-self-sufficiency that may be achieved within a reuse development in this environment is estimated at around 60%. A case study is also presented in which a conventional development is re-designed on the basis of the reuse model. Costing of the two developments indicates the reuse scenario is only marginally more expensive. Such costings however do not include the benefit to upstream and downstream environments resulting from reduced demand and discharges. As governments look to developers to recover system augmentation and environmental costs the economics of such approaches will increase.
Ast, Jacko; Bouma, Jan Jaap
textabstractAbstract Country location influences the institutional surroundings of the infrastructures related to water systems. In the Netherlands, water management has its own particularities. Temporarily inflow of affluent water from the rivers or the sea resulted in a highly developed institutional setting based on flood risk prevention. From an economic perspective, managing water is about allocating and using water in an effective and efficient way. This article deals with the coordinat...
Overview of Clean Water Act (CWA) restoration framework including; water quality standards, monitoring/assessment, reporting water quality status, TMDL development, TMDL implementation (point & nonpoint source control)
Ribeiro Neto, A.; Scott, C. A.; Lima, E. A.; Montenegro, S. M. G. L.; Cirilo, J. A.
Water availability for a range of human uses will increasingly be affected by climate change, especially in the arid and semiarid tropics. The main objective of this study is to evaluate the infrastructure sufficiency in meeting water demand under climate-induced socio-hydrological transition in the Capibaribe River basin (CRB). The basin has experienced spatial and sectoral (agriculture-to-urban) reconfiguration of water demands. Human settlements that were once dispersed, relying on intermittent sources of surface water, are now larger and more spatially concentrated, which increases water-scarcity effects. Based on the application of linked hydrologic and water-resources models using precipitation and temperature projections of the IPCC SRES (Special Report: Emissions Scenarios) A1B scenario, a reduction in rainfall of 26.0% translated to streamflow reduction of 60.0%. We used simulations from four members of the HadCM3 (UK Met Office Hadley Centre) perturbed physics ensemble, in which a single model structure is used and perturbations are introduced to the physical parameterization schemes in the model (Chou et al., 2012). We considered that the change of the water availability in the basin in the future scenarios must drive the water management and the development of adaptation strategies that will manage the water demand. Several adaptive responses are considered, including water-loss reductions, wastewater collection and reuse, and rainwater collection cisterns, which together have potential to reduce future water demand by 23.0%. This study demonstrates the vulnerabilities of the infrastructure system during socio-hydrological transition in response to hydroclimatic and demand variabilities in the CRB and also indicates the differential spatial impacts and vulnerability of multiple uses of water to changes over time. The simulations showed that the measures proposed and the water from interbasin transfer project of the São Francisco River had a positive