Modeling and Simulation of Energy Systems PDF Download

Author: Thomas A. Adams II
Publisher: MDPI
ISBN: 3039215183
Category : Technology & Engineering
Languages : en
Pages : 496

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Book Description
Energy Systems Engineering is one of the most exciting and fastest growing fields in engineering. Modeling and simulation plays a key role in Energy Systems Engineering because it is the primary basis on which energy system design, control, optimization, and analysis are based. This book contains a specially curated collection of recent research articles on the modeling and simulation of energy systems written by top experts around the world from universities and research labs, such as Massachusetts Institute of Technology, Yale University, Norwegian University of Science and Technology, National Energy Technology Laboratory of the US Department of Energy, University of Technology Sydney, McMaster University, Queens University, Purdue University, the University of Connecticut, Technical University of Denmark, the University of Toronto, Technische Universität Berlin, Texas A&M, the University of Pennsylvania, and many more. The key research themes covered include energy systems design, control systems, flexible operations, operational strategies, and systems analysis. The addressed areas of application include electric power generation, refrigeration cycles, natural gas liquefaction, shale gas treatment, concentrated solar power, waste-to-energy systems, micro-gas turbines, carbon dioxide capture systems, energy storage, petroleum refinery unit operations, Brayton cycles, to name but a few.

Author: Hassan Qudrat-Ullah
Publisher: Springer
ISBN: 1461486068
Category : Business & Economics
Languages : en
Pages : 277

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Book Description
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.

Author: Asmae Berrada
Publisher: Academic Press
ISBN: 0128214031
Category : Technology & Engineering
Languages : en
Pages : 382

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Book Description
Hybrid Energy System Models presents a number of techniques to model a large variety of hybrid energy systems in all aspects of sizing, design, operation, economic dispatch, optimization and control. The book's authors present a number of new methods to model hybrid energy systems and several renewable energy systems, including photovoltaic, solar plus wind and hydropower, energy storage, and combined heat and power systems. With critical modeling examples, global case studies and techno-economic modeling integrated in every chapter, this book is essential to understanding the development of affordable energy systems globally, particularly from renewable resources. With a detailed overview and a comparison of hybrid energy systems used in different regions, as well as innovative hybrid energy system designs covered, this book is useful for practicing power and energy engineers needing answers for what factors to consider when modeling a hybrid energy system and what tools are available to model hybrid systems. Combines research on several renewable energy systems, energy storage, and combined heat and power systems into a single informative resource on hybrid energy systems Includes significant global case studies of current and novel modeling techniques for comparison Covers numerical simulations of hybrid systems energy modeling and applications

Author: Hooman Farzaneh
Publisher: Springer
ISBN: 9811362211
Category : Technology & Engineering
Languages : en
Pages : 168

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Book Description
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.

Author: Mohan Munasinghe
Publisher: Cambridge University Press
ISBN: 9780521363266
Category : Business & Economics
Languages : en
Pages : 378

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Book Description
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.

Author: T. Agami Reddy
Publisher: Springer Science & Business Media
ISBN: 1441996133
Category : Technology & Engineering
Languages : en
Pages : 446

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Book Description
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.

Author: Gregory F. Nemet
Publisher: Routledge
ISBN: 0429643853
Category : Business & Economics
Languages : en
Pages : 238

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Book Description
Solar energy is a substantial global industry, one that has generated trade disputes among superpowers, threatened the solvency of large energy companies, and prompted serious reconsideration of electric utility regulation rooted in the 1930s. One of the biggest payoffs from solar’s success is not the clean inexpensive electricity it can produce, but the lessons it provides for innovation in other technologies needed to address climate change. Despite the large literature on solar, including analyses of increasingly detailed datasets, the question as to how solar became inexpensive and why it took so long still remains unanswered. Drawing on developments in the US, Japan, Germany, Australia, and China, this book provides a truly comprehensive and international explanation for how solar has become inexpensive. Understanding the reasons for solar’s success enables us to take full advantage of solar’s potential. It can also teach us how to support other low-carbon technologies with analogous properties, including small modular nuclear reactors and direct air capture. However, the urgency of addressing climate change means that a key challenge in applying the solar model is in finding ways to speed up innovation. Offering suggestions and policy recommendations for accelerated innovation is another key contribution of this book. This book will be of great interest to students and scholars of energy technology and innovation, climate change and energy analysis and policy, as well as practitioners and policymakers working in the existing and emerging energy industries.

Author: Ahmed Hammami
Publisher: Springer Nature
ISBN: 3030855848
Category : Technology & Engineering
Languages : en
Pages : 270

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Book Description
This book provides readers with an overview of recent theories and methods for studying complex mechanical systems used in energy production, such as wind turbines, but not limited to them. The emphasis is put on strategies for increasing energy efficiency, and on recent industrial applications. Topics cover dynamics and vibration, vibroacoustics, engineering design, modelling and simulation, fault diagnostics, signal processing and prognostics. The book is based on peer-review contributions and invited talks presented at the first International Workshop on MOdelling and Simulation of COmplex Systems for Sustainable Energy Efficiency, MOSCOSSEE 2021, held online on February 25-26, 2021, and organized by the LAboratory of Mechanics, Modelling and Production (LA2MP) from University of Sfax, Tunisia and the Department of Mechanical and Aeronautical engineering, Centre of Asset Integrity Management (C-AIM) from University of Pretoria, South Africa. By offering authoritative information on innovative methods and tools for application in renewable energy production, it provides a valuable resource to both academics and professionals, and a bridge to facilitate communication between the two groups.

Author: Martin Junginger
Publisher: Academic Press
ISBN: 012818762X
Category : Science
Languages : en
Pages : 340

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Book Description
Technological Learning in the Transition to a Low-Carbon Energy System: Conceptual Issues, Empirical Findings, and Use in Energy Modeling quantifies key trends and drivers of energy technologies deployed in the energy transition. It uses the experience curve tool to show how future cost reductions and cumulative deployment of these technologies may shape the future mix of the electricity, heat and transport sectors. The book explores experience curves in detail, including possible pitfalls, and demonstrates how to quantify the 'quality' of experience curves. It discusses how this tool is implemented in models and addresses methodological challenges and solutions. For each technology, current market trends, past cost reductions and underlying drivers, available experience curves, and future prospects are considered. Electricity, heat and transport sector models are explored in-depth to show how the future deployment of these technologies--and their associated costs--determine whether ambitious decarbonization climate targets can be reached - and at what costs. The book also addresses lessons and recommendations for policymakers, industry and academics, including key technologies requiring further policy support, and what scientific knowledge gaps remain for future research. Provides a comprehensive overview of trends and drivers for major energy technologies expected to play a role in the energy transition Delivers data on cost trends, helping readers gain insights on how competitive energy technologies may become, and why Reviews the use of learning curves in environmental impacts for lifecycle assessments and energy modeling Features social learning for cost modeling and technology diffusion, including where consumer preferences play a major role

Author: Tara Kathleen Righetti
Publisher:
ISBN:
Category :
Languages : en
Pages : 22

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Book Description
When designing environmental protection and energy regulation policies, legislators and regulators rely upon the results of computer models that purport to forecast future conditions such as energy supply, demand, available technologies and market characteristics. In a perfect world, these energy models would prove to be reliable and would, in turn, yield projections that would enable legislators and regulators to confidently enact regulations that advance societal energy and environmental goals. Unfortunately, it is impossible to predict or forecast with confidence all the variables that influence regulation and the effects of any regulatory choice. In this Article, we suggest that principles of dynamic law can be used as guidance to design policy that is coherent with the highly uncertain context in which it operates. We explore the idea that the uncertainty surrounding the outcomes of a regulation can be taken into account and made part of the regulatory design. In so doing, we suggest that regulations can tackle uncertainty using the same methods by which the energy modeling community attempts to understand and bound uncertainty. The diverse set of projected regulatory effects produced by different models under different assumptions reveals risks and opportunities: The risk of ineffective regulation and unintended consequences; and the opportunity of making “dynamic regulations” that change with the pace of new information.