微型、小型和中型企业的屋顶太阳能潜力:通过决策方法深入了解可再生能源的利用情况

IF 6 2区 工程技术 Q2 ENERGY & FUELS Solar Energy Pub Date : 2024-06-15 DOI:10.1016/j.solener.2024.112692
Raman Kumar , Rajeev Saha , Vladimir Simic , Nikhil Dev , Rajender Kumar , Harish Kumar Banga , Nebojsa Bacanin , Sanjeet Singh
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引用次数: 0

摘要

屋顶太阳能微型发电站缓解了印度拥挤城市的污染和输电问题。印度政府正在探索其他解决方案,而微型、小型和中型企业(MSME)部门也开始选择可持续的解决方案。本研究的重点是印度的微型和中小型企业部门,该部门约有 6,300 万个实体。这些实体需要安装太阳能系统,而屋顶可能是利用太阳能的最佳场所。检查任何微型和中小型企业的屋顶太阳能潜力都需要一种合适的技术,以决定首先针对哪个部门以及进一步的顺序。本文介绍了一种基于多标准决策(MCDM)方法的独特方法,根据七项标准对 10 个中小微企业备选方案进行排序。该方法包括对备选方案进行衡量,并根据折衷方案(MARCOS)进行排序,从而对印度具有屋顶太阳能潜力的中小微企业部门进行排序。重要程度的权重通过三种客观技术进行分配,并与 Bonferroni 运算符相结合。与不同的 MCDM 方法进行了排名比较,并在改变权重的同时进行了敏感性分析。利用 Kendall 和 Spearman 等级相关系数来获取各种策略之间的相关水平。最后,使用加勒特排序技术最终确定不同的排序。结果显示,MARCOS 方法表现良好,"纺织品 "排名第一,其次是 "汽车和工程产品"。因此,主导产业部门将有助于提高能源利用率,同时集中利用可再生能源资源。
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Rooftop solar potential in micro, small, and medium size enterprises: An insight into renewable energy tapping by decision-making approach

Rooftop solar micro-power plants mitigate pollution and transmission problems in crowded Indian cities. The Indian government is exploring alternate solutions, and the micro, small, and medium enterprises (MSME) sector is also coming forward to opt for sustainable solutions. This study is focused on the MSME segment in India, which constitutes approximately 63 million entities. Installing a solar system for which a rooftop could be the best place to tap solar energy from these entities is required. Checking the rooftop solar potential of any MSME entity requires a suitable technique to decide which sector to target first and the further order. A unique methodology based on multi-criteria decision-making (MCDM) methods is presented to rank 10 MSME alternatives with seven criteria. It includes the measurement of alternatives and ranking according to compromise solution (MARCOS) to rank MSME sectors in India with rooftop solar potential. Weights of importance are assigned with three objective techniques and combined with the Bonferroni operator. The ranks attained are compared with different MCDM methods, and sensitivity analysis is performed while changing weights. Kendall and Spearman rank correlation coefficients are utilized to access the correlation levels between various strategies. Finally, Garrett’s ranking technique is used to finalize the different ranks. The results reveal that the MARCOS method performed well, and “textiles” ranks first, followed by “auto and engineering products.” As a result, the leading industrial sectors will help improve energy utilization while concentrating on renewable energy resources.

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来源期刊
Solar Energy
Solar Energy 工程技术-能源与燃料
CiteScore
13.90
自引率
9.00%
发文量
0
审稿时长
47 days
期刊介绍: Solar Energy welcomes manuscripts presenting information not previously published in journals on any aspect of solar energy research, development, application, measurement or policy. The term "solar energy" in this context includes the indirect uses such as wind energy and biomass
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