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Shulph Ink

Energy Systems Evaluation (Volume 2): Multi-Criteria Decision Analysis

Energy Systems Evaluation (Volume 2): Multi-Criteria Decision Analysis

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  • More about Energy Systems Evaluation (Volume 2): Multi-Criteria Decision Analysis


This book provides methods for sustainability-oriented analysis and decision-making in energy systems, using multi-criteria decision analysis under various conditions and scenarios. It offers a systematic framework to select the most appropriate energy system, covering scientific decision support tools, fuzzy, grey, and rough sets, decision-making models, and life cycle thinking. It is valuable for researchers, engineers, decision-makers, and postgraduate students in energy systems, sustainability, and multi-criteria decision analysis.

Format: Paperback / softback
Length: 278 pages
Publication date: 26 May 2022
Publisher: Springer Nature Switzerland AG


This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life cycle thinking with multi-criteria decision analysis.

Chapter 1 provides an overview of the book's objectives and highlights the significance of sustainability in energy systems. It emphasizes the need for comprehensive and rational decision-making processes to ensure the long-term viability and environmental impact of energy systems. Chapter 2 introduces the methodological framework, outlining the key steps and techniques employed to evaluate and select sustainable energy systems. It discusses the application of scientific decision support tools, such as life cycle assessment (LCA) and techno-economic analysis (TEA), to evaluate the sustainability of different energy options.

Chapter 3 delves into the realm of fuzzy, grey, and rough sets-based multi-criteria decision analysis. It explains the principles and methodologies of these approaches, which are particularly useful in dealing with uncertainties and imprecise information. The chapter showcases how these methods can be applied to evaluate the sustainability of energy systems, considering various criteria such as environmental impact, economic efficiency, and social acceptability.

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life cycle
This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life cycle.

Chapter 1 provides an overview of the book, objectives, and highlights the significance of sustainability in energy systems. It emphasizes the need for comprehensive and rational decision-making processes to ensure the long-term viability and environmental impact of energy systems. Chapter 2 introduces the methodological framework, outlining the key steps

Chapter 3 delves into the realm of fuzzy, grey, and rough sets-based multi-criteria decision analysis. It explains the principles

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life cycle. This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life cycle

Chapter 1 provides an overview of the book

Chapter 2 introduces the methodological framework, outlining the key steps

Chapter 3 delves into the realm

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life. This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life

Chapter 1 provides an overview of the book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life

Chapter 2 introduces the framework, outlining the key steps

Chapter 3 delves into the realm

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life. This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life

Chapter 1 provides an overview of the book's objectives and highlights the significance of sustainability in energy systems. It emphasizes the need for comprehensive and rational decision-making processes to ensure the long-term viability and environmental impact of energy systems. Chapter 2 introduces the methodological framework, outlining the key steps.

Chapter 3 delves into the realm of fuzzy, grey, and rough sets-based multi-criteria decision analysis. It explains the principles

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life. This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life

Chapter 1 provides an overview of the book's objectives and highlights the significance of sustainability in energy systems. It emphasizes the need for comprehensive and rational decision-making processes to ensure the long-term viability and environmental impact of energy systems. Chapter 2 introduces the methodological framework, outlining the key

Chapter 3 delves into the realm of fuzzy, grey, and rough sets-based multi-criteria decision analysis. It explains the

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life. This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

The book begins by introducing a systematic and innovative methodological framework, designed to facilitate the selection of the most appropriate energy system based on diverse conditions. These conditions encompass scientific decision support tools for sustainable energy system selection, fuzzy, grey, and rough sets-based multi-criteria decision analysis, decision-making models under uncertainties, and the integration of life

Chapter 1 provides an overview of the book's objectives and highlights the significance of sustainability in energy systems. It emphasizes the need for comprehensive and rational decision-making processes to ensure the long-term viability and environmental impact of energy systems. Chapter 2 introduces the methodological framework, outlining the key

Chapter 3 delves into the realm of fuzzy, grey, and rough sets-based multi-criteria decision analysis. It explains the

Chapter 4 explores decision-making models under uncertainties, highlighting the challenges associated with making decisions in complex and unpredictable environments. It introduces various decision-making approaches, such as scenario analysis, risk assessment, and optimization algorithms, to address these challenges and facilitate the selection of the most sustainable energy systems.

Chapter 5 integrates life. This comprehensive book delves into a diverse range of multi-criteria analysis methods, tailored specifically for sustainability-oriented analysis and decision-making in energy systems. It offers a comprehensive framework to address crucial questions related to identifying the most sustainable options among various alternatives and leveraging multi-criteria decision analysis techniques to select the most environmentally friendly energy systems.

Weight: 438g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030673789
Edition number: 1st ed. 2021

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