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Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms

Design Optimization of Renewable Energy Systems Using Advanced Optimization Algorithms
A Book

by Venkata Rao Ravipudi

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 3030955893
  • Language : En, Es, Fr & De
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Optimization in Renewable Energy Systems

Optimization in Renewable Energy Systems
Recent Perspectives

by Ozan Erdinc

  • Publisher : Butterworth-Heinemann
  • Release : 2017-02-25
  • Pages : 326
  • ISBN : 0081012098
  • Language : En, Es, Fr & De
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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

Modeling and Optimization of Renewable Energy Systems

Modeling and Optimization of Renewable Energy Systems
A Book

by Arzu Şencan

  • Publisher : BoD – Books on Demand
  • Release : 2012-05-11
  • Pages : 310
  • ISBN : 9535106007
  • Language : En, Es, Fr & De
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This book includes solar energy, wind energy, hybrid systems, biofuels, energy management and efficiency, optimization of renewable energy systems and much more. Subsequently, the book presents the physical and technical principles of promising ways of utilizing renewable energies. The authors provide the important data and parameter sets for the major possibilities of renewable energies utilization which allow an economic and environmental assessment. Such an assessment enables us to judge the chances and limits of the multiple options utilizing renewable energy sources. It will provide useful insights in the modeling and optimization of different renewable systems. The primary target audience for the book includes students, researchers, and people working on renewable energy systems.

Design and Performance Optimization of Renewable Energy Systems

Design and Performance Optimization of Renewable Energy Systems
A Book

by Mamdouh Assad,Marc A. Rosen

  • Publisher : Academic Press
  • Release : 2021-01-12
  • Pages : 318
  • ISBN : 0128232323
  • Language : En, Es, Fr & De
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Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency

Optimization in Renewable Energy Systems

Optimization in Renewable Energy Systems
A Book

by Ozan Erdinc

  • Publisher : Unknown Publisher
  • Release : 2017
  • Pages : 326
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
GET BOOK

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.

Design and Performance Optimization of Renewable Energy Systems

Design and Performance Optimization of Renewable Energy Systems
A Book

by Mamdouh Assad,Marc A. Rosen

  • Publisher : Academic Press
  • Release : 2021-02-15
  • Pages : 318
  • ISBN : 0128216026
  • Language : En, Es, Fr & De
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Design and Performance Optimization of Renewable Energy Systems provides an integrated discussion of issues relating to renewable energy performance design and optimization using advanced thermodynamic analysis with modern methods to configure major renewable energy plant configurations (solar, geothermal, wind, hydro, PV). Vectors of performance enhancement reviewed include thermodynamics, heat transfer, exergoeconomics and neural network techniques. Source technologies studied range across geothermal power plants, hydroelectric power, solar power towers, linear concentrating PV, parabolic trough solar collectors, grid-tied hybrid solar PV/Fuel cell for freshwater production, and wind energy systems. Finally, nanofluids in renewable energy systems are reviewed and discussed from the heat transfer enhancement perspective. Reviews the fundamentals of thermodynamics and heat transfer concepts to help engineers overcome design challenges for performance maximization Explores advanced design and operating principles for solar, geothermal and wind energy systems with diagrams and examples Combines detailed mathematical modeling with relevant computational analyses, focusing on novel techniques such as artificial neural network analyses Demonstrates how to maximize overall system performance by achieving synergies in equipment and component efficiency

Analytics and Optimization for Renewable Energy Integration

Analytics and Optimization for Renewable Energy Integration
A Book

by Ning Zhang,Chongqing Kang,Ershun Du,Yi Wang

  • Publisher : CRC Press
  • Release : 2019-02-21
  • Pages : 372
  • ISBN : 0429847696
  • Language : En, Es, Fr & De
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The scope of this book covers the modeling and forecast of renewable energy and operation and planning of power system with renewable energy integration.The first part presents mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.

Intelligent Renewable Energy Systems

Intelligent Renewable Energy Systems
Integrating Artificial Intelligence Techniques and Optimization Algorithms

by Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen

  • Publisher : John Wiley & Sons
  • Release : 2021-12-29
  • Pages : 480
  • ISBN : 1119786282
  • Language : En, Es, Fr & De
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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems
An Optimal Integration Of Renewable Energy Resources Into Grid

by Moussa Labbadi

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 129
  • ISBN : 303098737X
  • Language : En, Es, Fr & De
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Renewable Energy Systems

Renewable Energy Systems
Modelling, Optimization and Control

by Ahmad Taher Azar,Nashwa Ahmad Kamal

  • Publisher : Academic Press
  • Release : 2021-09-09
  • Pages : 732
  • ISBN : 0128203986
  • Language : En, Es, Fr & De
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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, Optimization and Intelligent Control Techniques in Renewable Energy Systems

Modeling, Optimization and Intelligent Control Techniques in Renewable Energy Systems
An Optimal Integration Of Renewable Energy Resources Into Grid

by Moussa Labbadi,Kamal Elyaalaoui,Loubna Bousselamti,Mohammed Ouassaid,Mohamed Cherkaoui

  • Publisher : Springer
  • Release : 2022-05-24
  • Pages : 223
  • ISBN : 9783030987367
  • Language : En, Es, Fr & De
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This book consists of two parts. The first part studies selected recent developed strategies of control and management for renewable energy resources. The strategies of control are tested in the presence of unbalance power, voltage faults, frequency deviation, wind speed variation and parametric uncertainties. The second part is especially focused on study of hybrid photovoltaic (PV)-Concentrated solar power (CSP) coupled to a thermal storage system. It gathers a set of chapters covering recent survey literature, modelling and optimization of hybrid PV-CSP power plants. In this part, a detailed model of hybrid PV-CSP with thermal storage system is presented and smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) are also described and used to optimally design the hybrid PV-CSP renewable energy system. The book would be interesting to most academic undergraduate, postgraduates, researchers on renewable energy systems in terms of modeling, optimization and control, as well as the satisfaction of grid code requirements. Also, it provides an excellent background to renewable energy sources, it is an excellent choice for energy engineers, researchers, system operators, and graduate students. This book can used as a good reference for the academic research on the smart grid, power control, integration of renewable energy sources, and related to this or used in Ph.D study of control, optimisation, management problems and their application in field engineering.

Optimization of Hybrid Renewable Energy Systems

Optimization of Hybrid Renewable Energy Systems
A Book

by Francisco Contreras

  • Publisher : Unknown Publisher
  • Release : 2015
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Applying Particle Swarm Optimization

Applying Particle Swarm Optimization
New Solutions and Cases for Optimized Portfolios

by Burcu Adıgüzel Mercangöz

  • Publisher : Springer Nature
  • Release : 2021-05-13
  • Pages : 351
  • ISBN : 3030702812
  • Language : En, Es, Fr & De
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This book explains the theoretical structure of particle swarm optimization (PSO) and focuses on the application of PSO to portfolio optimization problems. The general goal of portfolio optimization is to find a solution that provides the highest expected return at each level of portfolio risk. According to H. Markowitz’s portfolio selection theory, as new assets are added to an investment portfolio, the total risk of the portfolio’s decreases depending on the correlations of asset returns, while the expected return on the portfolio represents the weighted average of the expected returns for each asset. The book explains PSO in detail and demonstrates how to implement Markowitz’s portfolio optimization approach using PSO. In addition, it expands on the Markowitz model and seeks to improve the solution-finding process with the aid of various algorithms. In short, the book provides researchers, teachers, engineers, managers and practitioners with many tools they need to apply the PSO technique to portfolio optimization.

Advances in Energy System Optimization

Advances in Energy System Optimization
Proceedings of the 2nd International Symposium on Energy System Optimization

by Valentin Bertsch,Armin Ardone,Wolf Fichtner,Michael Suriyah,Vincent Heuveline,Thomas Leibfried

  • Publisher : Springer Nature
  • Release : 2019-01-01
  • Pages : 178
  • ISBN : 3030321576
  • Language : En, Es, Fr & De
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The papers presented in this open access book address diverse challenges in decarbonizing energy systems, ranging from operational to investment planning problems, from market economics to technical and environmental considerations, from distribution grids to transmission grids, and from theoretical considerations to data provision concerns and applied case studies. While most papers have a clear methodological focus, they address policy-relevant questions at the same time. The target audience therefore includes academics and experts in industry as well as policy makers, who are interested in state-of-the-art quantitative modelling of policy relevant problems in energy systems. The 2nd International Symposium on Energy System Optimization (ISESO 2018) was held at the Karlsruhe Institute of Technology (KIT) under the symposium theme "Bridging the Gap Between Mathematical Modelling and Policy Support" on October 10th and 11th 2018. ISESO 2018 was organized by the KIT, the Heidelberg Institute for Theoretical Studies (HITS), the Heidelberg University, the German Aerospace Center and the University of Stuttgart.

Hybrid Renewable Energy Systems

Hybrid Renewable Energy Systems
Optimization and Power Management Control

by Djamila Rekioua

  • Publisher : Springer Nature
  • Release : 2019-11-27
  • Pages : 250
  • ISBN : 303034021X
  • Language : En, Es, Fr & De
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This book discusses the supervision of hybrid systems and presents models for control, optimization and storage. It provides a guide for practitioners as well as graduate and postgraduate students and researchers in both renewable energy and modern power systems, enabling them to quickly gain an understanding of stand-alone and grid-connected hybrid renewable systems. The book is accompanied by an online MATLAB package, which offers examples of each application to help readers understand and evaluate the performance of the various hybrid renewable systems cited. With a focus on the different configurations of hybrid renewable energy systems, it offers those involved in the field of renewable energy solutions vital insights into the control, optimization and supervision strategies for the different renewable energy systems.

Advanced Control and Optimization Paradigms for Wind Energy Systems

Advanced Control and Optimization Paradigms for Wind Energy Systems
A Book

by Radu-Emil Precup,Tariq Kamal,Syed Zulqadar Hassan

  • Publisher : Springer
  • Release : 2019-02-07
  • Pages : 257
  • ISBN : 9811359954
  • Language : En, Es, Fr & De
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This book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles.

Intelligent Computing & Optimization

Intelligent Computing & Optimization
Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)

by Ivan Zelinka

  • Publisher : Springer Nature
  • Release : 2022
  • Pages : 1332
  • ISBN : 3030932478
  • Language : En, Es, Fr & De
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This book of Springer Nature is another proof of Springers outstanding and greatness on the lively interface of Smart Optimization, Computational Science, Human Intelligence and Machine Learning! It is a Master Piece of what our community of Academics and Experts can provide when an Interdisciplinary Approach of Joint, Mutual and Deep Learning is supported by Modern Mathematics and Experience of the World-Leader Springer Nature! Fourth edition of International Conference on Intelligent Computing and Optimization took place at December 3031, 2021, via ZOOM. Objective was to celebrate Compassion and Wisdom with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovationmarvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO2021 is published by Springer NatureQuality Label of Excellence. .

Stand-Alone and Hybrid Wind Energy Systems

Stand-Alone and Hybrid Wind Energy Systems
Technology, Energy Storage and Applications

by J K Kaldellis

  • Publisher : Elsevier
  • Release : 2010-07-27
  • Pages : 576
  • ISBN : 1845699629
  • Language : En, Es, Fr & De
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Wind power is fast becoming one of the leading renewable energy sources worldwide, not only from large scale wind farms but also from the increasing penetration of stand-alone and hybrid wind energy systems. These systems are primarily of benefit in small-scale applications, especially where there is no connection to a central electricity network, and where there are limited conventional fuel resources but available renewable energy resources. By applying appropriate planning, systems selection and sizing, including the integration of energy storage devices to mitigate variable energy generation patterns, theses systems can supply secure reliable and economic power to remote locations and distributed micro-grids. Stand-alone and hybrid wind energy systems is a synthesis of the most recent knowledge and experience on wind-based hybrid renewable energy systems, comprehensively covering the scientific, technical and socio-economic issues involved in the application of these systems. Part one presents an overview of the fundamental science and engineering of stand-alone and hybrid wind energy systems and energy storage technology, including design and performance optimisation methods and feasibility assessment for these systems. Part two initially reviews the design, development, operation and optimisation of stand-alone and hybrid wind energy systems – including wind-diesel, wind -photovoltaic (PV), wind-hydrogen, and wind-hydropower energy systems – before moving on to examine applicable energy storage technology, including electro-chemical, flywheel (kinetic) and compressed air energy storage technologies. Finally, Part three assesses the integration of stand-alone and hybrid wind energy systems and energy technology into remote micro-grids and buildings, and their application for desalination systems. With its distinguished editor and international team of contributors, Stand-alone and hybrid wind energy systems is a standard reference for all renewable energy professionals, consultants, researchers and academics from post-graduate level up. Provides an overview of the fundamental science and engineering of stand-alone hybrid and wind energy systems, including design and performance optimisation methods Reviews the development and operation of stand-alone and hybrid wind energy systems Assesses the integration of stand-alone and hybrid wind energy systems and energy storage technology into remote micro-grids and buildings, and their application for desalination systems

Advances in Integrated Energy Systems Design, Control and Optimization

Advances in Integrated Energy Systems Design, Control and Optimization
A Book

by Josep M. Guerrero,Amjad Anvari-Moghaddam

  • Publisher : MDPI
  • Release : 2018-03-23
  • Pages : 184
  • ISBN : 3038424900
  • Language : En, Es, Fr & De
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This book is a printed edition of the Special Issue "Advances in Integrated Energy Systems Design, Control and Optimization" that was published in Applied Sciences

Handbook of Research on Power and Energy System Optimization

Handbook of Research on Power and Energy System Optimization
A Book

by Kumar, Pawan,Singh, Surjit,Ali, Ikbal,Ustun, Taha Selim

  • Publisher : IGI Global
  • Release : 2018-03-16
  • Pages : 746
  • ISBN : 1522539360
  • Language : En, Es, Fr & De
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In recent years, the development of advanced structures for providing sustainable energy has been a topic at the forefront of public and political conversation. Many are looking for advancements on pre-existing sources and new and viable energy options to maintain a modern lifestyle. The Handbook of Research on Power and Energy System Optimization is a critical scholarly resource that examines the usage of energy in relation to the perceived standard of living within a country and explores the importance of energy structure augmentation. Featuring coverage on a wide range of topics including energy management, micro-grid, and distribution generation, this publication is targeted towards researchers, academicians, and students seeking relevant research on the augmentation of current energy structures to support existing standards of living.