Energy Policy Analysis And Modelling

Energy plays a vital role in economic and social development. The analysis of energy issues and policy options is therefore a vital area of study. This book presents a hierarchical modelling scheme intended to support energy planning and policy analysis in developing countries. The authors introduce the concept of 'Integrated National energy Planning' (INEP), and examine the spreadsheet models, optimization models, and linear planning models which energy planners use. Environmental considerations are also introduced into the analysis. Techniques are then applied to two important energy subsectors, electricity and fuelwood, before problems of integration and policy implementation are discussed. Throughout the book, the authors examine actual practice in developing countries. Illustrative case material is drawn from Egypt, West Africa, Sudan, Pakistan, Colombia, India, Sri Lanka and Morocco. This book will be of interest to students and practitioners of energy planning, and to those concerned with the wider development implications of energy policy.

Microeconomic Modeling and Policy Analysis: Studies in Residential Energy Demand analyzes the aggregates and distributional impacts from alternative energy polices related to the energy demands of residential consumers. The book also analyzes the use of micro-simulation models in the study. The book examines three alternative energy policies and their possible impacts on the residential energy demand. The text describes models on energy use including general micro-simulation and micro-simulation as applied in ""Residential End-Use Energy Planning Systems"" (REEPS) and the Oak Ridge National Laboratory (ORNL) Residential Energy Consumption Model. The book describes REEPS as a model providing end-use specific forecasts of energy consumption at the household level. The text describes ORNL as a computationally simpler design but conceptually more complex one. The book then evaluates three different policy scenarios using each of these two models. The performance of REEPS and ORNL, as well as other dimensions of model projections, is examined. The implications regarding 1) policy analysis and 2) the use of micro simulation models are noted. The book then presents a table that summarizes the results of the comparative model evaluation. Energy policymakers, city and local government planning officials, development engineers, and environmentalists will find this book very relevant.

"This book covers a wide spectrum of policy analysis and optimal operational planning of integrated energy systems using systems approach. It starts with the coverage of importance of energy modeling and policy analysis, system dynamics and linear programming, modeling of energy supply, energy demand, and environmental impacts. With a focus on integrated energy systems at micro and macro levels, application of simulation techniques for integrated rural energy systems and integrated electric power systems/smart grids are covered as well. Features: covers modeling, optimization and control of energy system, and data analysis, collected using SCADA system, uses system dynamics methodology (based on control systems theory) in addition to other modeling tools, focusses on energy and environmental issues, provides optimal operational planning and management of integrated electric power systems and smart grids, and covers simulated planning and management of integrated national electric power systems using system dynamics. This book is aimed at graduate students in electrical engineering, energy technology, microgrid, energy policy, and control systems"--

The roles and applications of various modeling approaches, aimed at improving the usefulness of energy policy models in public decision making, are covered by this book. The development, validation, and applications of system dynamics and agent-based models in service of energy policy design and assessment in the 21st century is a key focus. A number of modeling approaches and models for energy policy, with a particular focus on low-carbon economic development of regions and states are covered. Chapters on system dynamics methodology, model-based theory, fuzzy system dynamics frame-work, and optimization modeling approach are presented, along with several chapters on future research opportunities for the energy policy modeling community. The use of model-based analysis and scenarios in energy policy design and assessment has seen phenomenal growth during the past several decades. In recent years, renewed concerns about climate change and energy security have posed unique modeling challenges. By utilizing the validation techniques and procedures which are effectively demonstrated in these contributions, researchers and practitioners in energy systems domain can increase the appeal and acceptance of their policy models.

Energy Analysis and Policy: Selected Works discusses the major aspect of electricity economics, including pricing, demand forecasting, investment analysis, and system reliability. This book provides a clear and comprehensive overview of the diversity of problems in analyzing energy markets and designing sound energy policies. Organized into 14 chapters, this book first discusses the energy economics in developing countries; integrated national energy planning (INEP) in developing countries; energy pricing; practical application of INEP using microcomputers; and energy strategies for oil-importing developing countries. Subsequent chapters describe the energy demand management and conservation; national energy policy implementation; energy demand analysis and forecasting; and energy project evaluation and planning. Other chapters explore non-conventional energy project analysis and national energy policy; rural energy issues and supply options; and bioenergy management policy. Rural-industrial energy and fossil fuel issues, as well as energy R&D decision-making in developing countries, are also presented. As the issues in this book are very important, this book will be helpful to a wide and appreciative audience.

Energy costs impact the profitability of virtually all industrial processes. Stressing how plants use power, and how that power is actually generated, this book provides a clear and simple way to understand the energy usage in various processes, as well as methods for optimizing these processes using practical hands-on simulations and a unique approach that details solved problems utilizing actual plant data. Invaluable information offers a complete energy-saving approach essential for both the chemical and mechanical engineering curricula, as well as for practicing engineers.

Energy Systems Modeling and Policy Analysis covers a wide spectrum of topics including policy analysis and the optimal operational planning of integrated energy systems using a systems approach. This book details the importance of energy modeling and policy analysis, system dynamics and linear programming, modeling of energy supplies, energy demand, and environmental impact. Integrated energy systems at micro- and macro-levels, the application of simulation techniques for integrated rural energy systems, and integrated electric power systems/smart grids are covered as well. Features: Covers topics such as modeling, optimization and control of energy systems, and data analysis collected using a Supervisory Control and Data Acquisition (SCADA) system Uses system dynamics methodology (based on control systems theory) as well as other modeling tools Focuses on energy and environmental issues Provides optimal operational planning and management of integrated electric power systems and smart grids Covers the simulated planning and management of integrated national electric power systems using system dynamics This book is aimed at graduate students in electrical engineering, energy technology, microgrids, energy policy, and control systems.

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability,statistics, experimental design, regression, model building, optimization, risk analysis and decision-making to actual engineering processes and systems. The text provides a formal structure that offers a basic, broad and unified perspective,while imparting the knowledge, skills and confidence to work in data analysis and modeling. This volume uses numerous solved examples, published case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.

This book highlights how energy-system models are used to underpin and support energy and climate mitigation policy decisions at national, multi-country and global levels. It brings together, for the first time in one volume, a range of methodological approaches and case studies of good modeling practice on a national and international scale from the IEA-ETSAP energy technology initiative. It provides insights for the reader into the rich and varied applications of energy-system models and the underlying methodologies and policy questions they can address. The book demonstrates how these models are used to answer complex policy questions, including those relating to energy security, climate change mitigation and the optimal allocation of energy resources. It will appeal to energy engineers and technology specialists looking for a rationale for innovation in the field of energy technologies and insights into their evolving costs and benefits. Energy economists will gain an understanding of the key future role of energy technologies and policy makers will learn how energy-system modeling teams can provide unique perspectives on national energy and environment challenges. The book is carefully structured into three parts which focus on i) policy decisions that have been underpinned by energy-system models, ii) specific aspects of supply and end-use sector modeling, including technology learning and behavior and iii) how additional insights can be gained from linking energy-system models with other models. The chapters elucidate key methodological features backed up with concrete applications. The book demonstrates the high degree of flexibility of the modeling tools used to represent extremely different energy systems, from national to global levels.