نوع مقاله : پژوهشی
تازه های تحقیق
عنوان مقاله English
نویسندگان English
In recent years, Iran has faced increasing challenges in meeting its energy demands, as evidenced by frequent power outages in both residential and industrial sectors. This situation underscores the urgent need for sustainable and reliable energy solutions. This study proposes a hybrid multi-criteria decision-making framework to identify and rank the most suitable regions for developing solar power plants across the country. The study employs a fuzzy logic-based approach to integrate multiple methods while accounting for the inherent uncertainty in data and expert opinions. In the first stage, Data Envelopment Analysis (DEA) was utilized to evaluate the efficiency of all provinces based on climatic and geographical indicators, including solar radiation, sunshine hours, precipitation, cloud cover, and altitude, using data from the Iran Meteorological Organization. This process facilitated the screening and identification of provinces more suitable for establishing solar power plants. Subsequently, key and influential criteria for optimal site selection were determined and weighted using the Fuzzy Analytic Hierarchy Process (FAHP) based on expert judgments. Finally, by integrating the results of the previous stages, the selected provinces were ranked using the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). The results indicate that the central, southern, and southeastern provinces of Iran possess the highest potential for solar energy development. The findings of this research can assist decision-makers, planners, and investors in the energy sector to take a significant step toward advancing Iran’s transition to a more sustainable future and reducing its dependency on oil and gas.
کلیدواژهها English
Copyright © Fatemeh Moslemi, Nasser Safaie
License
This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.
