Optimization Of Energy Systems
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Optimization in Renewable Energy Systems
Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. - Provides chapters written by experts in the field - Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems - Provides accompanying computer code for related chapters
Renewable Energy Systems
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
Modeling and Optimization of Energy Systems
Author: Alexia Fisher
language: en
Publisher: Clanrye International
Release Date: 2023-09-26
Energy optimization refers to the controlled and mindful use of energy in the built environment as well as avoiding use of energy in order to maximize the benefits for people and the environment. Modeling involves interpreting a set of physical phenomena and developing a reasonably complete, closed and comprehensive phenomenological and mathematical formulation that describes a problem. Modeling usually results in a system of equations that can be solved to derive the values of variables that describe a phenomenon. Optimization of energy systems includes thermodynamic modeling, and analyzing and optimizing different types of energy systems in a variety of applications. It offers a fresh perspective on the systems and procedures of defining appropriate objective functions for choosing the best design parameters to achieve increased efficiency, sustainability, and cost effectiveness. All energy-intensive human activities must be revisited and modified to make them energy-efficient. This is essential to reduce the ecological footprint of humans on the Earth. This book unravels the recent advancements in modeling and optimization of energy systems. It will also provide interesting topics for research, which interested readers can take up. This book, with its detailed analyses and data, will prove immensely beneficial to professionals and students involved in this area of study at various levels.