A novel hybrid spherical fuzzy multi-criteria decision-making approach to select the best hydroelectric power plant source in India

IF 4.2 Q2 ENERGY & FUELS
Brajamohan Sahoo, Bijoy Krishna Debnath
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引用次数: 0

Abstract

Hydroelectric power plants (HPPs) play a crucial role in India’s energy portfolio by providing renewable energy and decreasing dependency on fossil fuels. HPPs assist in flood control, irrigation, and water management, thereby supporting agricultural and economic advancement. However, persistent challenges such as environmental consequences, habitat depletion, and resettlement complications impede project advancement. Striking a balance between these advantages and addressing social and environmental issues is essential for shaping India’s energy trajectory. In this manuscript to achieve these goals, the research paper incorporates the opinions of three decision-makers along with 20 criteria. Each criterion is associated with 5 alternatives and further categorized as beneficial and non-beneficial. To determine the optimal power plant, a novel hybrid Multi-Criteria Decision Making (MCDM) method is employed within a spherical fuzzy environment to handle the uncertainties occurred in the HPPs. This paper also introduces a novel formula for calculating the weights of decision-makers and a novel score function for converting spherical fuzzy numbers into crisp values. Initially to examine the interrelationship between these criteria the spherical fuzzy Decision Making Trial and Evaluation Laboratory (DEMATEL) method is utilized. The weight of the criteria is determined using the spherical fuzzy Stepwise Weight Assessment Ratio Analysis (SWARA) method, followed by determining the rank of the alternatives using the novel spherical fuzzy Multiple Criteria Ranking by Alternative Trace (MCRAT) method. Subsequently, the alternative with the highest score value is determined as the optimal choice for the hydroelectric power plant source in India. Furthermore, this research paper also discusses sensitivity analysis, comparative analysis, and the managerial implications of this study.
选择印度最佳水力发电厂来源的新型混合球形模糊多标准决策方法
水力发电站(HPPs)通过提供可再生能源和减少对化石燃料的依赖,在印度的能源组合中发挥着至关重要的作用。水电站有助于防洪、灌溉和水资源管理,从而支持农业和经济的发展。然而,环境后果、栖息地损耗和重新安置复杂性等持续存在的挑战阻碍了项目的推进。要塑造印度的能源发展轨迹,就必须在这些优势与解决社会和环境问题之间取得平衡。为了实现这些目标,本研究报告在手稿中纳入了三位决策者的意见和 20 项标准。每个标准都与 5 个备选方案相关联,并进一步分为有利和无利两类。为了确定最佳发电厂,本文在球形模糊环境中采用了一种新型混合多标准决策(MCDM)方法,以处理水力发电厂中出现的不确定性。本文还介绍了计算决策者权重的新公式和将球形模糊数转换为清晰值的新评分函数。最初,为了研究这些标准之间的相互关系,采用了球形模糊决策试验和评估实验室(DEMATEL)方法。使用球形模糊逐步权重评估比率分析法(SWARA)确定标准的权重,然后使用新颖的球形模糊多标准溯源排序法(MCRAT)确定备选方案的排序。随后,得分最高的备选方案被确定为印度水电站的最优选择。此外,本研究论文还讨论了敏感性分析、比较分析以及本研究的管理意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Renewable Energy Focus
Renewable Energy Focus Renewable Energy, Sustainability and the Environment
CiteScore
7.10
自引率
8.30%
发文量
0
审稿时长
48 days
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