A multicriteria approach to sustainable energy supply for the rural poor

Despite significant progress in energy technology, about two billion people worldwide, particularly the poor in rural areas of developing countries, have no access to electricity. Decision-making concerning the most appropriate energy technology for supplying these areas has been difficult; existing energy decision-support tools have been useful but are mostly incomplete. Trade-offs, as well as impacts that can be positive or negative, may emerge as a result of implementing modern forms of energy. These can affect both community's livelihoods as well as the confidence of decision-makers in relation to alternative technologies. The paper discusses a newly designed multicriteria approach and its novel robustness analysis for selecting energy generation systems for the improvement of livelihoods in rural areas. The proposed methodology builds upon a sustainable rural livelihoods framework to address multiple interactions and calculate trade-offs aimed at boosting decision-makers' confidence in the selected technologies. The methodology is tested via a case study in Colombia. © 2011 Elsevier B.V. All rights reserved.

• Autores: Henao Piza, Juan Felipe; Dyner, Isaac; Jaramillo, Patricia; Cherni, Judith A.
• Tipo de recurso: Article of investigation
• Fecha de publicación: 2012
• Institución: Universidad ICESI
• Repositorio: Repositorio ICESI
• Idioma: eng
• OAI Identifier: oai:repository.icesi.edu.co:10906/78303
• Acceso en línea: http://www.scopus.com/inward/record.url?eid=2-s2.0-84855801645&partnerID=tZOtx3y1; http://hdl.handle.net/10906/78303; https://doi.org/10.1016/j.ejor.2011.11.033
• Palabra clave: Análisis de decisiones; Energía; Análisis multicriterio; Comunidad rural; Energía sostenible; Decision analysis; Energy; Multicriteria analysis; Rural community; Sustainable energy; Economía; Economics; Negocios y management; Business; Economía; Negocios y management; Análisis de decisiones; Problemas de la sociedad; Economics; Business; Decision analysis; Societal problem; Decision analysis
• Rights: openAccess
• License: https://creativecommons.org/licenses/by-nc-nd/4.0/