Titlebook: Energy Systems Evaluation (Volume 2); Multi-Criteria Decis Jingzheng Ren Conference proceedings 2021 The Editor(s) (if applicable) and The

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1865-3529 decision analysis.This book is of interest to researchers, engineers, decision makers, and postgraduate students within the field of energy systems, sustainability, and multi-criteria decision analysis..978-3-030-67378-9978-3-030-67376-5Series ISSN 1865-3529 Series E-ISSN 1865-3537

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Preamble

Multi-Criteria Decision Analysis Methods for Sustainability Assessment of Renewable Energy Systems ass plants in the context of long-term sustainability and its possible application to sustainable STEM education. Along with the operational method of MCDA-GIS/F-DEMATEL, the most optimal locations of biomass plant can be found through the main criteria, constraints and their weight coefficients ass

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Multi-criteria Assessment of Sustainability for Energy Systems Under Uncertainty: Grey-Based Approacombine the subjective evaluations of the experts and generate the grey decision matrix. Then, in the second part, grey MOORA method is applied to the grey decision matrix for the assessment of sustainability for energy systems under uncertainty. An example is also given for displaying the applicabi

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Coupling LCSA and Multi-criteria Decision Analysis for Energy System Prioritization,ty evaluation system is effective and can accurately identify key criteria and provide suggestions for subsequent optimization. In this paper, MCDA method is used to integrate life cycle evaluation criteria, which overcomes the difficulty of comprehensive treatment of criteria in LCSA process and re

Processes

Multi-criteria Decision Analysis Methods for Sustainability Assessment and Improvement of Energy Syion of improving the sustainability. While the cause-effect relationships among criteria were captured by using the fuzzy DEMATEL method to provide information for the long-term improvement of the system sustainability. The priorities of energy systems were finally acquired by using the fuzzy TOPSIS

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An Integrated Hesitant Fuzzy Decision Model for Sustainable Wind Farm Site Selection: The Case Studn this study, we investigate five alternative locations, four main criteria, and thirteen sub-criteria considering the judgments of three experts from the energy market. Firstly, AHP methodology was?applied to obtain criteria weights, and then, hesitant fuzzy TOPSIS technique was implemented to iden

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Rough Set-Based Multi-Criteria Decision Analysis Methods in Sustainability Assessment of Photovoltation; however, many of them do not consider the judgments’ vagueness, and suppose experts are rational, which are not consistent with the reality. In this chapter, an integrated location selection model for PV power stations is constructed. It utilizes rough sets and prospect theory (PT) improving t