风能发展障碍建模:对促进绿色能源部门的启示

IF 3.1 4区 工程技术 Q3 ENERGY & FUELS
Jinyang Cai, Munir Ahmad, M. Irfan, Irfan Khan, Asif Razzaq
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引用次数: 36

摘要

由于各种障碍对印度风能部门构成挑战,这些障碍在多大程度上阻碍了该部门和替代解决方案在很大程度上是未知的。我们利用现有文献识别出几个障碍,然后使用改进的德尔菲法,对25个障碍进行细化,并将其分为五个显著维度。随后,分析层次过程使用两两比较矩阵确定障碍的等级。基于理想解相似度的排序偏好灰色技术对这些障碍的备选解进行排序。结果表明,“金融壁垒”是各维度中最重要的壁垒,而“有限政府补贴”在各子壁垒中影响最大。“获得充足资金”是克服这些障碍的最佳选择。最后,进行敏感性分析以验证研究结果。研究结果可能有助于从业者和政策制定者促进目前印度风能部门的缓慢增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling wind energy development barriers: implications for promoting green energy sector
ABSTRACT Since a variety of barriers pose challenges to the Indian wind energy sector, the extent to which these barriers hamper this sector and the alternative solutions are largely unknown. We identify several barriers using existing literature, and then using the modified Delphi approach, refine 25 barriers and classify them into five significant dimensions. Later, the Analytical Hierarchical Process determined the ranking of barriers using pairwise comparison matrices. The Grey Technique for Order Preference by Similarity to Ideal Solution method ranked alternative solutions to these barriers. Results indicate that “financial barrier” is the most important barrier among all dimensions, while “limited government subsidy” is most influential among all sub-barriers. “Availability of adequate funds” is the best alternative to overcome these barriers. Finally, a sensitivity analysis is performed to validate the study findings. The study findings may assist practitioners and policymakers in boosting the current sluggish growth of the Indian wind sector.
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来源期刊
CiteScore
6.80
自引率
12.80%
发文量
42
审稿时长
6-12 weeks
期刊介绍: 12 issues per year Abstracted and/or indexed in: Applied Science & Technology Index; API Abstracts/Literature; Automatic Subject Index Citation; BIOSIS Previews; Cabell’s Directory of Publishing Opportunities in Economics and Finance; Chemical Abstracts; CSA Aquatic Science & Fisheries Abstracts; CSA Environmental Sciences & Pollution Management Database; CSA Pollution Abstracts; Current Contents/Engineering, Technology & Applied Sciences; Directory of Industry Data Sources; Economic Abstracts; Electrical and Electronics Abstracts; Energy Information Abstracts; Energy Research Abstracts; Engineering Index Monthly; Environmental Abstracts; Environmental Periodicals Bibliography (EPB); International Abstracts in Operations Research; Operations/Research/Management Science Abstracts; Petroleum Abstracts; Physikalische Berichte; and Science Citation Index. Taylor & Francis make every effort to ensure the accuracy of all the information (the "Content") contained in our publications. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor & Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to, or arising out of the use of the Content. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions .
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