Luhaniwal Jyoti, Agarwal Shivi, Mathur Trilok
Department of Mathematics, Birla Institute of Technology and Science Pilani, Pilani Campus, Pilani, Rajasthan, 333031, India.
Sci Rep. 2025 Jan 4;15(1):838. doi: 10.1038/s41598-024-84891-2.
As India's population grows and urbanization accelerates, energy demand is increasing sharply while conventional sources fall behind. To tackle energy shortages and climate change, India must prioritize renewable energy sources (RES), which offer sustainable solutions. The country is rich in RES, which can enhance fuel mix for electricity generation. This study analyzes various RES in India-solar, geothermal, hydro, biomass, wave, onshore, and offshore wind energy -using an integrated data envelopment analysis (DEA) and fuzzy analytic hierarchy process (Fuzzy AHP) methodology. Four main parameters-technical, economic, environmental, and socio-political -are identified and supported by 19 criteria, with environmental parameters including both desirable and undesirable criteria. In first phase, undesirable criteria are transformed into desirable criteria using Modified Ratio model. DEA is then applied to calculate initial efficiency score of RES under each parameter category. Fuzzy AHP determines weights for each parameter. The weights and initial efficiency scores are then combined to calculate overall efficiency score and ranking of RES. Sensitivity analysis shows that results obtained from proposed methodology are significant, and robust. Offshore wind ranks highest in efficiency, followed by hydro and onshore wind, while geothermal scores lowest. This methodology could benefit developing nations and guide policymakers in adopting RES.
随着印度人口增长和城市化加速，能源需求急剧增加，而传统能源却难以满足需求。为应对能源短缺和气候变化，印度必须优先发展可再生能源（RES），因为它们提供了可持续的解决方案。印度拥有丰富的可再生能源资源，可改善发电的燃料组合。本研究采用综合数据包络分析（DEA）和模糊层次分析法（Fuzzy AHP），对印度的各种可再生能源——太阳能、地热能、水能、生物质能、波浪能、陆上和海上风能进行了分析。确定了技术、经济、环境和社会政治四个主要参数，并由19个标准提供支持，其中环境参数包括期望和非期望标准。在第一阶段，使用修正比率模型将非期望标准转化为期望标准。然后应用DEA计算每个参数类别下可再生能源的初始效率得分。模糊层次分析法确定每个参数的权重。然后将权重和初始效率得分相结合，计算可再生能源的总体效率得分和排名。敏感性分析表明，所提出方法得到的结果具有显著性和稳健性。海上风能效率排名最高，其次是水能和陆上风能，而地热能得分最低。该方法可为发展中国家提供帮助，并指导政策制定者采用可再生能源。
