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首页> 外文期刊>Environmental Science and Pollution Research >Sustainability assessment of existing onshore wind plants in the context of triple bottom line: a best-worst method (BWM) based MCDM framework
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Sustainability assessment of existing onshore wind plants in the context of triple bottom line: a best-worst method (BWM) based MCDM framework

机译:在三重底线背景下存在现有陆上风电厂的可持续性评估:基于最佳方法(BWM)的MCDM框架

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摘要

Not only the steadily growing demand for electricity generation but also the environmental concerns in recent years have led to the belief in the importance of renewable energy. Wind is one of the most important renewable energy sources utilized in electricity generation for a sustainable environment. This paper deals with performance assessment for existing onshore wind plants in terms of triple bottom line of sustainability and aims to propose a structural methodology. Furthermore, the proposed framework is essentially formed through two stages: the first stage is the determination of relative weights for sustainability factors through the best-worst method (BWM) and the second stage is a sustainability performance assessment of the available 42 wind plants in Izmir, Turkey. According to the findings, the environmental dimension is the most significant, followed by the economic and social dimensions. The results also reveal that distance to protected areas is the most important factor among others in terms of sustainability performance and that the wind plants throughout the north side of Izmir have a higher sustainability performance. To validate the robustness and reliability of the introduced framework, a sensitivity analysis is also conducted. The proposed framework could be employed successfully in other scientific applications.
机译:近年来,不仅对发电的需求稳步增长,而且对环境的担忧也促使人们相信可再生能源的重要性。风力是发电中最重要的可再生能源之一,用于实现可持续环境。本文从可持续性的三重底线角度讨论了现有陆上风力发电厂的性能评估,旨在提出一种结构化方法。此外,拟议框架基本上分为两个阶段:第一阶段是通过最佳-最差法(BWM)确定可持续性因素的相对权重,第二阶段是对土耳其伊兹密尔现有42座风力发电厂的可持续性绩效评估。根据调查结果,环境维度最为重要,其次是经济和社会维度。研究结果还表明,距离保护区的距离是影响可持续性绩效的最重要因素,而伊兹密尔北部的风力发电厂具有更高的可持续性绩效。为了验证该框架的鲁棒性和可靠性,还进行了灵敏度分析。该框架可成功应用于其他科学应用。

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