Here is a complete guide to the planning and implementation of effective demand-side management programs. This excellent reference provides expert guidance for every component of the DSM program, including load management programs, forecasting, pricing, and promotion of efficient end-use technologies. For the power user, it will provide new insight into utility incentive and rebate programs, and how to best take advantage of cost-saving benefits.
This book presents mathematical models of demand-side management programs, together with operational and control problems for power and renewable energy systems. It reflects the need for optimal operation and control of today’s electricity grid at both the supply and demand spectrum of the grid. This need is further compounded by the advent of smart grids, which has led to increased customer/consumer participation in power and renewable energy system operations. The book begins by giving an overview of power and renewable energy systems, demand-side management programs and algebraic modeling languages. The overview includes detailed consideration of appliance scheduling algorithms, price elasticity matrices and demand response incentives. Furthermore, the book presents various power system operational and control mathematical formulations, incorporating demand-side management programs. The mathematical formulations developed are modeled and solved using the Advanced Interactive Multidimensional Modeling System (AIMMS) software, which offers a powerful yet simple algebraic modeling language for solving optimization problems. The book is extremely useful for all power system operators and planners who are concerned with optimal operational procedures for managing today’s complex grids, a context in which customers are active participants and can curb/control their demand. The book details how AIMMS can be a useful tool in optimizing power grids and also offers a valuable research aid for students and academics alike.
The power system has often been cited as the greatest and most complex machine ever built, yet it is predominantly a mechanical system. Technologies and intelligent systems are now available that can significantly enhance the overall functionality of power distribution and make it ready to meet the needs of the 21st century. This book explains how sensors, communications technologies, computational ability, control, and feedback mechanisms can be effectively combined to create this new, continually adjusting "smart grid" system. It provides an understanding of both IntelliGridSM architecture and EnergyPortSM as well as how to integrate intelligent systems to achieve the goals of reliability, cost containment, energy efficiency in power production and delivery, and end-use energy efficiency.
The practice of Demand-Side Management (DSM) has evolved over the past three decades in response to lessons learned from implementation in different global settings, and also in response to the changing needs of restructured power markets. The most notable change that is occurring today is the inclusion of programs that emphasize price responsiveness in the DSM portfolio. Traditionally, DSM programs were confined to energy efficiency and conservation programs with reliability-driven load management programs being used occasionally to manage emergency situations. Electric prices were taken as a given when designing such programs, hampering the eventual success of all such efforts. This Primer has been written to introduce the new concepts of price-responsive DSM that are currently being investigated in a variety of different market settings. It highlights different criteria and taxonomies for classification and evaluation of DSM programs and recommends programs that will likely provide a better fit with the objectives, expected needs and outcomes of DSM initiatives in developing and transition countries. As defined in this primer, such initiatives include both load shifting programs (that either clip peak loads or shift energy used in the peak period to off-peak periods) and efficiency programs (that reduce the total amount of energy). The purpose of the primer is to provide successful examples of price-responsive DSM programs from the developed world and by discussing their workings, show that they can be also be applied to the developing world. Of course, before price-responsive programs can be implemented in the developing world, certain pre-requisites pertaining to metering and billing practices would have to be implemented. These are discussed in the report.
This thesis deals with two important and very timely aspects of the future power system operation - assessment of demand flexibility and advanced demand side management (DSM) facilitating flexible and secure operation of the power network. It provides a clear and comprehensive literature review in these two areas and states precisely the original contributions of the research. The book first demonstrates the benefits of data mining for a reliable assessment of demand flexibility and its composition even with very limited observability of the end-users. It then illustrates the importance of accurate load modelling for efficient application of DSM and considers different criteria in designing DSM programme to achieve several objectives of the network performance simultaneously. Finally, it demonstrates the importance of considering realistic assumptions when planning and estimating the success of DSM programs. The findings presented here have both scientific and practical significance; they gained her BSc and MSc degrees in electrical engineering from the University of Belgrade in 2011 and 2012 respectively. She graduated with her PhD from the University of Manchester. She has presented at several conferences, and has won runner-up prizes in poster presentation at three. She has authored or co-authored more than 40 journal, conference and technical papers.provide a basis for further research, and can be used to guide future applications in industry.
What do some think of the current program? Are you familiar with the concept of demand response? How might you support experiential learning and self-improvement? What demand side management would you offer to energy-starved people? Can a program in its current design be sustained over many years? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Demand Side Management investments work better. This Demand Side Management All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Demand Side Management Self-Assessment. Featuring 961 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Demand Side Management improvements can be made. In using the questions you will be better able to: - diagnose Demand Side Management projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Demand Side Management and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Demand Side Management Scorecard, you will develop a clear picture of which Demand Side Management areas need attention. Your purchase includes access details to the Demand Side Management self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Demand Side Management Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Bachelor Thesis from the year 2022 in the subject Energy Sciences, grade: 1.3, Technical University of Berlin (Wirtschafts- und Infrastrukturpolitik), language: English, abstract: This paper will analyse Demand Side Management (DSM), an approach to include the demand side in the electricity system and consequently increase flexibility. The demand side should be regarded as a variable and not as fixed, as Gellings put it beautifully. With renewable energy, energy production becomes a variable source, and the demand has to adapt accordingly. The concept of DSM has been used in the USA since the 1980s but remains a novel subject in the European Union (EU). In 2009, the European Commission set the target to increase the capacities of DSM because only a tenth of the actual potential was used within the EU in 2014. A significant obstacle regarding DSM is the deviating estimation of DSM Potentials. There exist multiple studies, which estimate the potential in Germany, but due to the high deviations that exist between them, making it is dicult to estimate the real potential. For investments, this is an important measure, and it should have high accuracy. These deviations potentially come from a missing definition for DSM, which is often entangled with Demand Response (DR), sector coupling and load management. As no clear definition or distinction to other terms is visible, it seems necessary to define the term DSM. For that, chapter 2 analyses the initial objective, modern approach and relative terms of DSM. Eventually, this leads to a more precise distinction, which helps to calculate the DSM potential from Germany with a broad analysis of multiple studies. These studies are typically based on different assumptions and were conducted in different years, therefore having different annual electricity consumption and consequently di↵erent potentials (Ladwig, 2018). A normalisation with regard to the annual electricity consumption will be performed and followed by a distinction of the assumed restrictions. Here, it helps to look at the DSM groups, which can implement DSM measures and point out their individual restrictions and challenges that would limit their potential or increase the complexity of integration. Scientific modelling helps to estimate the effects of novel approaches on the electricity system. As DSM has many interdependencies and is very decentralised through many individual participants, different approaches for a framework of DSM will be analysed.
