Mahmoud Z. Mistarihi , Ghazi M. Magableh , Saba Abu Dalu
{"title":"Evaluation of potential sustainable green energy sources for United Arab Emirates","authors":"Mahmoud Z. Mistarihi , Ghazi M. Magableh , Saba Abu Dalu","doi":"10.1016/j.rineng.2025.104527","DOIUrl":null,"url":null,"abstract":"<div><div>Green energy sustainability is gaining traction due to advancements in technology and application. It promotes social, industrial, technological, and sectoral changes, reducing greenhouse gas emissions and addressing climate change concerns through increased energy efficiency and environmentally friendly investments. The UAE is enhancing its renewable energy presence through green infrastructure funding, demonstrating a commitment to sustainability. The study examines the UAE's role in employing sustainable green energy sources, developing a sustainable green energy selection model, and addressing the gap in previous evaluations. The study identifies innovation opportunities and introduces COPRAS, Fuzzy COPRAS, ARAS, and Fuzzy ARAS methods, along with four innovative integration techniques, to provide a systematic and transparent decision-making process for selecting and ranking SGE energy sources in the UAE. The results indicate that the FCOPRAS-FARAS integration method is the most preferred method. The comparison criteria favor solar energy and wind energy, indicating a balanced approach towards energy sources. The outcomes of the research aid sectors in renewable energy exploitation, decision-makers, and countries in selecting and implementing renewable energy programs and providing insights for sustainable green energy projects and technologies.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"26 ","pages":"Article 104527"},"PeriodicalIF":6.0000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590123025006048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Green energy sustainability is gaining traction due to advancements in technology and application. It promotes social, industrial, technological, and sectoral changes, reducing greenhouse gas emissions and addressing climate change concerns through increased energy efficiency and environmentally friendly investments. The UAE is enhancing its renewable energy presence through green infrastructure funding, demonstrating a commitment to sustainability. The study examines the UAE's role in employing sustainable green energy sources, developing a sustainable green energy selection model, and addressing the gap in previous evaluations. The study identifies innovation opportunities and introduces COPRAS, Fuzzy COPRAS, ARAS, and Fuzzy ARAS methods, along with four innovative integration techniques, to provide a systematic and transparent decision-making process for selecting and ranking SGE energy sources in the UAE. The results indicate that the FCOPRAS-FARAS integration method is the most preferred method. The comparison criteria favor solar energy and wind energy, indicating a balanced approach towards energy sources. The outcomes of the research aid sectors in renewable energy exploitation, decision-makers, and countries in selecting and implementing renewable energy programs and providing insights for sustainable green energy projects and technologies.