The study aims to assesses possible solutions for Pakistan's energy scarcity based on a renewable source of green hydrogen generated through wind, solar, biomass, and geothermal energy. For this purpose, four main criteria: economic, commercialization, environmental, and social acceptance, have been assessed by applying Multiple-Criteria Decision Analysis (MCDA) and Fuzzy-analytical hierarchal process. Furthermore, Data Envelopment Analysis (DEA) is applied to evaluate hydrogen energy production through available renewable energy sources under the selected criteria. According to the findings of fuzzy-led DEA analysis, wind energy source optimization is best suited to produce hydrogen energy in Pakistan for all four criterions. The DEA-led analysis also considers wind energy as the most efficient source to produce hydrogen energy in Pakistan. In other words, to produce hydrogen energy, the findings revealed best optimal rank 1.00 for wind energy, second highest score 0.97 for biomass, third rank for solar energy with score of 0.75 and geothermal ranked at last position with a score of 0.662. The results spotlight that installation of wind energy projects will help to meet the domestic energy demand and reduce the consumption of fossil fuels to produce energy. This study can help policymakers develop fact-based hydrogen energy projects in their respective areas.

该研究旨在基于通过风能、太阳能、生物质能和地热能产生的绿色氢的可再生来源，评估巴基斯坦能源短缺的可能解决方案。为此，通过应用多标准决策分析 (MCDA) 和模糊分析分层过程评估了四个主要标准：经济、商业化、环境和社会接受度。此外，数据包络分析 (DEA) 用于评估在选定标准下通过可用可再生能源生产的氢能。根据模糊主导的 DEA 分析的结果，对于所有四个标准，风能资源优化最适合在巴基斯坦生产氢能。DEA 主导的分析还认为风能是巴基斯坦生产氢能的最有效来源。换句话说，为了生产氢能，调查结果显示，风能的最佳最佳排名为 1.00，生物质能排名第二，为 0.97，太阳能排名第三，得分为 0.75，地热排名最后，得分为 0.662。结果表明，安装风能项目将有助于满足国内能源需求并减少化石燃料的消耗来生产能源。这项研究可以帮助政策制定者在各自领域开发基于事实的氢能项目。结果表明，安装风能项目将有助于满足国内能源需求并减少化石燃料的消耗来生产能源。这项研究可以帮助政策制定者在各自领域开发基于事实的氢能项目。结果表明，安装风能项目将有助于满足国内能源需求并减少化石燃料的消耗来生产能源。这项研究可以帮助政策制定者在各自领域开发基于事实的氢能项目。