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.

This book serves as an introductory reference guide for those studying the application of models in energy systems. The book opens with a taxonomy of energy models and treatment of descriptive and analytical models, providing the reader with a foundation of the basic principles underlying the energy models and positioning these principles in the context of energy system studies. In turn, the book provides valuable insights into the varied applications of different energy models to answer complex questions, including those concerning specific aspects of energy policy measures dealing with issues of supply and demand. Case studies are provided in all of the chapters, offering real-world examples of how existing models fit the classification methods outlined here. The book’s remaining chapters address a broad range of principles and applications, taking the reader from the basic principles involved, to state-of-the-art energy production and consumption processes, using modeling and validation/illustration in case studies to do so. With its in-depth mathematical foundation, this book serves as a comprehensive collection of work on modeling energy systems and processes, taking inexperienced graduate students from the basics through to a high-level understanding of the modeling processes in question, while also providing professionals and academic researchers in the field of energy planning with an up-to-date reference guide covering the latest works.

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.

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.

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 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.

In this new edition of Renewable Energy Systems, globally recognized renewable energy researcher and professor, Henrik Lund, sets forth a straightforward, comprehensive methodology for comparing different energy systems' abilities to integrate fluctuating and intermittent renewable energy sources. The book does this by presenting an energy system analysis methodology. The book provides the results of more than fifteen comprehensive energy system analysis studies, examines the large-scale integration of renewable energy into the present system, and presents concrete design examples derived from a dozen renewable energy systems around the globe. Renewable Energy Systems, Second Edition also undertakes the socio-political realities governing the implementation of renewable energy systems by introducing a theoretical framework approach aimed at understanding how major technological changes, such as renewable energy, can be implemented at both the national and international levels. - Provides an introduction to the technical design of renewable energy systems - Demonstrates how to analyze the feasibility and efficiency of large-scale systems to help implementers avoid costly trial and error - Addresses the socio-political challenge of implementing the shift to renewables - Features a dozen extensive case studies from around the globe that provide real-world templates for new installations

Modelling, Assessment, and Optimization of Energy Systems provides comprehensive methodologies for the thermal modelling of energy systems based on thermodynamic, exergoeconomic and exergoenviromental approaches. It provides advanced analytical approaches, assessment criteria and the methodologies to obtain analytical expressions from the experimental data. The concept of single-objective and multi-objective optimization with application to energy systems is provided, along with decision-making tools for multi-objective problems, multi-criteria problems, for simplifying the optimization of large energy systems, and for exergoeconomic improvement integrated with a simulator EIS method. This book provides a comprehensive methodology for modeling, assessment, improvement of any energy system with guidance, and practical examples that provide detailed insights for energy engineering, mechanical engineering, chemical engineering and researchers in the field of analysis and optimization of energy systems. - Offers comprehensive analytical tools for the modeling and simulation of energy systems with applications for decision-making tools - Provides methodologies to obtain analytical models of energy systems for experimental data - Covers decision-making tools in multi-objective problems

This book presents the energy system roadmaps necessary to limit global temperature increase to below 2°C, in order to avoid the catastrophic impacts of climate change. It provides a unique perspective on and critical understanding of the feasibility of a well-below-2°C world by exploring energy system pathways, technology innovations, behaviour change and the macro-economic impacts of achieving carbon neutrality by mid-century. The transformative changes in the energy transition are explored using energy systems models and scenario analyses that are applied to various cities, countries and at a global scale to offer scientific evidence to underpin complex policy decisions relating to climate change mitigation and interrelated issues like energy security and the energy–water nexus. It includes several chapters directly related to the Nationally Determined Contributions proposed in the context of the recent Paris Agreement on Climate Change. In summary, the book collates a range of concrete analyses at different scales from around the globe, revisiting the roles of countries, cities and local communities in pathways to significantly reduce greenhouse gas emissions and make a well-below-2°C world a reality. A valuable source of information for energy modellers in both the industry and public sectors, it provides a critical understanding of both the feasibility of roadmaps to achieve a well-below-2°C world, and the diversity and wide applications of energy systems models. Encompassing behaviour changes; technology innovations; macro-economic impacts; and other environmental challenges, such as water, it is also of interest to energy economists and engineers, as well as economic modellers working in the field of climate change mitigation.

Offers the fundamentals of involving stakeholders in collaborative modeling of energy systems, including the technical subsystem as well as its economic, social, environmental and political subsystems. By illustrating the capabilities of the SAM-PD framework, this book introduces an actual case study of the Cape Wind Offshore Wind Energy project.