Assessing barriers and solutions for Yemen energy crisis to adopt green and sustainable practices: a fuzzy multi-criteria analysis.

Currently, the renewable energy sectors have dynamically revolved around targeting green turbulence, mainly due to increased customer environmental awareness. Therefore, this paper investigates green initiatives. The results show barriers and explain the strategies for adopting green renewable energy sources in Yemen. The political barrier has the highest weight of 0.191, while technical barrier sored the second highest weight of 0.181. The weights of managerial and information energy were found to be 0.18 and 0.17, respectively. Market barrier weighed the lowest score of 0.12, while economic barrier (0.15 weight) is the barrier to develop renewable energy road map. The research developed a comprehensive decision making framework to identify major barriers, sub-barriers, and develop plans for green energy in Yemen. Fuzzy analytical hierarchal process (FAHP) results indicate that the category of political obstacles is more important than other obstacles. Yemen has undergone power reforms and achieved better energy efficiency, compared to the countries that have applied imperfect. Economic efficiency in Yemen is the lowest among the considered barriers. Twenty-five percent of the considered barriers were identified with an alarming efficiency of 0.5%. The effects of FTOPSIS show that the planned explanation "developing research methods to achieve green innovation in renewable" energy is significant to address the obstacles to green innovation in renewable energy.