中性粒细胞模型下光伏系统用太阳能板演化的能源效率和材料成本节约

A. Sleem, Ibrahim Elhenawy
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引用次数: 1

摘要

太阳能电池板的传统应用仅限于小规模的能源生产,例如单个住宅或公寓综合体所需的能源生产。来自世界各地的研究人员一直在共同努力,开发创造性的、高效的产品,提高太阳能电池板的能源效率,并利用光伏系统设计建立新的、开创性的实践。由于对金融、社会和生态方面的理解不断提高,许多国家的太阳能光伏(PV)系统规划需要一种战略决策方法来促进社会经济增长。本研究的主要目标是为政府决策者提供一种新颖的、适应性强的多标准决策方法(MCDM),以使用各种变量来评估太阳能光伏电池板制造商。本文采用单值嗜中性集处理模糊数据。中性粒细胞集与特征对象方法(COMET)一起使用。COMET方法是一个MCDM方法。它用于计算备选方案的秩。以11个标准和10块太阳能电池板为例,介绍了该方法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficiency and Material Cost Savings by Evolution of Solar Panels Used in Photovoltaic Systems under Neutrosophic Model
Traditional applications of solar panels have been limited to smaller-scale energy production, such as that required by single houses or apartment complexes. Researchers from all around the globe have been working together to develop creative, efficient goods, increase the energy efficiency of solar panels, and build new, ground-breaking practices using photovoltaic system design. Solar photovoltaic (PV) system planning demands a strategic decision-making approach to socioeconomic growth in many nations due to the rising understanding of the financial, social, and ecological aspects. The primary goal of this study is to provide a novel, adaptable method of Multi-Criteria Decision Making (MCDM) for government decision-makers (DMs) to use in evaluating solar PV panel manufacturers using various variables. This paper used the single-valued neutrosophic set to deal with the vague data. The neutrosophic set is used with the Characteristic Objects Method (COMET). The COMET method is an MCDM method. It is used to compute the rank of alternatives. The application of the proposed method is introduced with eleven criteria and ten solar panels in PV.
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