Mathematical Modelling of Energy Systems
Author: İbrahim Kavrakoğlu
Publisher: Springer
Published: 1981-03-31
Total Pages: 500
ISBN-13:
DOWNLOAD EBOOK →Proceedings of the NATO Advanced Study Institute, Istanbul, Turkey, June 1979
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Energy Systems Modeling
Author: Hooman Farzaneh
Publisher: Springer
Published: 2019-04-09
Total Pages: 168
ISBN-13: 9811362211
DOWNLOAD EBOOK →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.
Mathematical Modelling of Contemporary Electricity Markets
Author: Athanasios Dagoumas
Publisher: Academic Press
Published: 2021-01-30
Total Pages: 444
ISBN-13: 0128218398
DOWNLOAD EBOOK →Mathematical Modelling of Contemporary Electricity Markets reviews major methodologies and tools to accurately analyze and forecast contemporary electricity markets in a ways that is ideal for practitioner and academic audiences. Approaches include optimization, neural networks, genetic algorithms, co-optimization, econometrics, E3 models and energy system models. The work examines how new challenges affect power market modeling, including discussions of stochastic renewables, price volatility, dynamic participation of demand, integration of storage and electric vehicles, interdependence with other commodity markets and the evolution of policy developments (market coupling processes, security of supply). Coverage addresses all major forms of electricity markets: day-ahead, forward, intraday, balancing, and capacity. Provides a diverse body of established techniques suitable for modeling any major aspect of electricity markets Familiarizes energy experts with the quantitative skills needed in competitive electricity markets Reviews market risk for energy investment decisions by stressing the multi-dimensionality of electricity markets
Mathematical Modeling In Energy Systems
Author: Kemal Hanjalic
Publisher: CRC Press
Published: 1990-08-01
Total Pages: 1000
ISBN-13: 9780891168751
DOWNLOAD EBOOK →This book contains the proceedings of the Forum 90 conducted at Sarajevo, Yugoslavia in March 1989. The International Centre for Heat and Mass Transfer hosted the meeting, which was designed to assemble international mathematicians to exchange ideas, experience and knowledge about recent achievements in modeling. Specific emphasis was placed on the multi-purpose use of models, their joint application and incorporation into more general models of complex energy conversions plants and systems. Additionally, the forum was expected to enhance a wider use and application of mathematical modeling and computer simulation techniques in the development of new and advanced thermal energy conversion technologies.
Applied Mathematical Modeling and Analysis in Renewable Energy
Author: Manoj Sahni
Publisher: CRC Press
Published: 2021-10-04
Total Pages: 212
ISBN-13: 1000455114
DOWNLOAD EBOOK →This reference text introduces latest mathematical modeling techniques and analysis for renewable energy systems. It comprehensively covers important topics including study of combustion characteristics of laser ignited gasoline-air mixture, hierarchical demand response controller, mathematical modeling of an EOQ for a multi-item inventory system, and integration and modeling of small-scale pumped storage with micro optimization model (HOMER). Aimed at graduate students and academic researchers in the fields of electrical engineering, environmental engineering, mechanical engineering, and civil engineering, this text: Discusses applied mathematical modeling techniques in renewable energy. Covers effective storage and generation of power through renewable energy generation sources. Provides real life applications and problems based on renewable energy. Covers new ways of applying mathematical techniques for applications in diverse areas of science and engineering.
Modeling and Simulation of Energy Systems
Author: Thomas A. Adams II
Publisher: MDPI
Published: 2019-11-06
Total Pages: 496
ISBN-13: 3039215183
DOWNLOAD EBOOK →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.
Hierarchical Modeling of Energy Systems
Author: Nikolai I. Voropai
Publisher: Elsevier
Published: 2023-08-18
Total Pages: 542
ISBN-13: 0443139164
DOWNLOAD EBOOK →Hierarchical Modeling of Energy Systems presents a detailed methodology for hierarchical modeling of large-scale complex systems with a focus on energy systems and their expansion planning and control. General methodological principles of hierarchical modeling are analyzed, and based on this analysis, a generalized technology for the hierarchical approach is presented. The mathematical foundations of decomposition and bi-level programming, as well as the possibility of using information technologies are also considered. The theoretical propositions are demonstrated by numerous hierarchical modeling examples aimed at planning the development of the energy sector and expansion of energy systems, analyzing, and optimizing these systems, and controlling their operation. In addition, codes and sample simulations are included throughout. This is an invaluable guide for researchers, engineers, and other specialists involved in the development, control and management of energy systems, while the summary of fundamental principles and concepts in energy modeling makes this an accessible learning tool for graduate students on any course involving energy systems or energy modeling. Summarizes hierarchical modeling principles and methods Critically evaluates all energy systems including electric power systems, heat supply systems, gas, and coal supply systems, integrated and cogeneration systems, its interrelations and more Examines expansion planning, development and operation, control and management of energy systems Provides a detailed mathematical descriptions of models, computation algorithms, and optimization problems
Mathematical Modeling, Simulation and Optimization for Power Engineering and Management
Author: Simone Göttlich
Publisher: Springer Nature
Published: 2021-02-02
Total Pages: 333
ISBN-13: 3030627322
DOWNLOAD EBOOK →This edited monograph offers a summary of future mathematical methods supporting the recent energy sector transformation. It collects current contributions on innovative methods and algorithms. Advances in mathematical techniques and scientific computing methods are presented centering around economic aspects, technical realization and large-scale networks. Over twenty authors focus on the mathematical modeling of such future systems with careful analysis of desired properties and arising scales. Numerical investigations include efficient methods for the simulation of possibly large-scale interconnected energy systems and modern techniques for optimization purposes to guarantee stable and reliable future operations. The target audience comprises research scientists, researchers in the R&D field, and practitioners. Since the book highlights possible future research directions, graduate students in the field of mathematical modeling or electrical engineering may also benefit strongly.
Applied Data Analysis and Modeling for Energy Engineers and Scientists
Author: T. Agami Reddy
Publisher: Springer Science & Business Media
Published: 2011-08-09
Total Pages: 446
ISBN-13: 1441996133
DOWNLOAD EBOOK →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.
Renewable Energy Systems
Author: Ahmad Taher Azar
Publisher: Academic Press
Published: 2021-09-09
Total Pages: 734
ISBN-13: 0128203986
DOWNLOAD EBOOK →Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy control systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems by leading researchers. The book brings together the most comprehensive collection of modeling, control theorems and optimization techniques to help solve many scientific issues for researchers in renewable energy and control engineering. Many multidisciplinary applications are discussed, including new fundamentals, modeling, analysis, design, realization and experimental results. The book also covers new circuits and systems to help researchers solve many nonlinear problems. This book fills the gaps between different interdisciplinary applications, ranging from mathematical concepts, modeling, and analysis, up to the realization and experimental work. Covers modeling, control theorems and optimization techniques which will solve many scientific issues for researchers in renewable energy Discusses many multidisciplinary applications with new fundamentals, modeling, analysis, design, realization and experimental results Includes new circuits and systems, helping researchers solve many nonlinear problems
