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.

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 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 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.

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.

Alex Cowie As the twentieth century draws to a close, one of our greatest problems is the availability of energy. One way to study the energy problem is to resolve it into four areas: energy demand, energy sources, transportation of energy from sources to demand centers, and the optimal allocation of energy forms to demands. Each of these areas is extremely complex by itself. When efforts are made to tie them together, for example, to produce a National Policy, the complexities are compounded. Another way to study the energy problem, because of its political and social consequences, is to resolve it into geographical areas. Individual provinces of Canada or states of the United States will have their concerns about energy within their geographical boundaries. As producer, consumer, or both, each wants to ensure an energy development program which will work to the maximum benefit of its citizens. Similarly, countries endeavor to protect their citizens and undertake energy policies that will assure either a continuation of the existing quality of life or - particularly in the case of "Third World" countries - a marked improvement in quality of life. These competing and conflicting goals call for a study which encompasses the whole world. Again, complexity is piled upon complexity. If the prob lem is not yet sufficiently complex, there is an equally complex question of the effect of energy production and use on the ecology.

Energy is a sector where there has always been a serious modelling tradition, but with the worldwide trend away from planned economies to new market structures, the risk, uncertainties and competitive aspects which need to be incorporated pose new challenges to analyse strategic as well as economic behaviour. Systems Modelling for Energy Policy addresses the strong and apparently countervailing themes dominating energy policy in the current decade: concerns about global warming have stimulated an intense and methodologically diverse level of analytical activity aimed ultimately at greater international co-ordination in policy and planning simultaneously we are witnessing a worldwide trend away from planned national energy policies to new market structures To accommodate these shifts in focus, more comprehensive analytical procedures are needed to address technical challenges in handling large models whilst smaller, policy-specific behavioural models may give greater insight to the strategic challenges involved in maintaining focus on key industry restructuring issues for which past data is not available. This volume provides a comprehensive and up-to-date reference to the range of issues and modelling alternatives that a systems perspective gives to the analysis of energy policy. Practitioners, analysts and researchers will find new studies and comparative modelling insights in this book which are not easily accessed elsewhere.