Christian M. Moreno-Rocha , José R. Nuñez-Alvarez , Juan Rivera-Alvarado , Alfredo Ghisayz Ruiz , Enderson A. Buelvas-Sanchez
{"title":"Multi-criteria evaluation and multi-method analysis for appropriately selecting renewable energy sources in Colombia","authors":"Christian M. Moreno-Rocha , José R. Nuñez-Alvarez , Juan Rivera-Alvarado , Alfredo Ghisayz Ruiz , Enderson A. Buelvas-Sanchez","doi":"10.1016/j.mex.2025.103248","DOIUrl":null,"url":null,"abstract":"<div><div>This research explores the implementation of renewable energy technologies for power generation using multi-criteria decision-making (MCDM) methods, including AHP, FAHP, TOPSIS, and FUZZY-TOPSIS. Ten renewable energy alternatives were evaluated across seven geographic regions in Colombia, revealing variability in preferences depending on the method and scenario. Alternatives 6 and 4 frequently stood out, while others showed varied rankings. This study significantly contributes to the energy sector by offering a rigorous framework for selecting renewable generation technologies, supporting sustainable energy planning, and providing a model for replication in global contexts, some key points are:<ul><li><span>•</span><span><div>The study applied systematic MCDM approaches to assess renewable energy sources.</div></span></li><li><span>•</span><span><div>Results demonstrated method-dependent variability and highlighted regional preferences.</div></span></li><li><span>•</span><span><div>It sets a benchmark for integrating sustainable practices into energy planning worldwide.</div></span></li></ul></div></div>","PeriodicalId":18446,"journal":{"name":"MethodsX","volume":"14 ","pages":"Article 103248"},"PeriodicalIF":1.6000,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MethodsX","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2215016125000949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This research explores the implementation of renewable energy technologies for power generation using multi-criteria decision-making (MCDM) methods, including AHP, FAHP, TOPSIS, and FUZZY-TOPSIS. Ten renewable energy alternatives were evaluated across seven geographic regions in Colombia, revealing variability in preferences depending on the method and scenario. Alternatives 6 and 4 frequently stood out, while others showed varied rankings. This study significantly contributes to the energy sector by offering a rigorous framework for selecting renewable generation technologies, supporting sustainable energy planning, and providing a model for replication in global contexts, some key points are:
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The study applied systematic MCDM approaches to assess renewable energy sources.
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Results demonstrated method-dependent variability and highlighted regional preferences.
•
It sets a benchmark for integrating sustainable practices into energy planning worldwide.