Decision-making support framework for electricity supply in non-interconnected rural areas based on FAHP

dc.creatorMoreno, Christian
dc.creatorOspino-Castro, Adalberto
dc.creatorRobles Algarín, Carlos
dc.date2023-01-30T14:39:16Z
dc.date2023-01-30T14:39:16Z
dc.date2022
dc.date.accessioned2023-10-03T19:58:55Z
dc.date.available2023-10-03T19:58:55Z
dc.identifierMoreno, C. ., Ospino-Castro, A., & Robles-Algarín, C. (2022). Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP. International Journal of Energy Economics and Policy, 12(5), 79–87. https://doi.org/10.32479/ijeep.12913
dc.identifier2146-4553
dc.identifierhttps://hdl.handle.net/11323/9843
dc.identifier10.32479/ijeep.12913
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9173549
dc.descriptionThe implementation of electrification programs in non-interconnected rural areas in Colombia is a challenge for the country in order to reduce the social gap in these regions. This task is responsibility of the Mining and Energy Planning Unit (UPME), which has as challenges the implementation of renewable energy projects that allow diversifying the national energy matrix. For this reason, this paper proposes a support framework for multicriteria decision-making in the electricity supply of non-interconnected rural areas for the Colombian Caribbean Region. The multicriteria method of the Fuzzy Analytical Hierarchical Process (FAHP) was used, which allows the incorporation of a fuzzy triangular scale to improve the imprecision in the judgments made by experts. A hierarchical structure with 6 renewable energy alternatives, 4 criteria and 16 sub-criteria was designed, which allowed the implementation of a paired comparison survey that was answered by 10 experts from the region. The results obtained show the relevance of all alternatives, which is evidenced by a percentage difference of less than 5% between all the options. The best alternative was solar PV (20,27%). Regarding the criteria, the most relevant were economic (39,6%) and environmental (30,8%). The most relevant sub-criterion was the renewable fraction, related to the possible reuse of equipment (20,2%).
dc.format9 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherEconJournals
dc.publisherTurkey
dc.relationInternational Journal of Energy Economics and Policy
dc.relationAlgarín, C., Llanos, A., Castro, A. (2017), An analytic hierarchy process based approach for evaluating renewable energy sources. International Journal of Energy Economics and Policy, 7(4), 38-47.
dc.relationAlizadeh, R., Soltanisehat, L., Lund, P., Zamanisabzi, H. (2020), Improving renewable energy policy planning and decision-making through a hybrid MCDM method. Energy Policy, 137, 111174.
dc.relationAwad, J., Jung, C. (2022), Extracting the planning elements for sustainable urban regeneration in Dubai with AHP (Analytic hierarchy process). Sustainable Cities and Society, 76, 103496.
dc.relationCanco, I., Kruja, D., Iancu, T. (2021), Ahp, a reliable method for quality decision making: A case study in business. Sustainability, 13(24), 13932.
dc.relationCastro, A.J. (2010), Análisis del potencial energético solar en la región Caribe para el diseño de un sistema fotovoltaico. Inge CUC, 6(1), 95-102.
dc.relationGünen, M. (2021), A comprehensive framework based on GIS-AHP for the installation of solar PV farms in Kahramanmaraş, Turkey. Renewable Energy, 178, 212-225.
dc.relationJusakulvijit, P., Bezama, A., Thrän, D. (2021), Criteria prioritization for the sustainable development of second-generation bioethanol in Thailand using the Delphi-AHP technique. Energy, Sustainability and Society, 11(1), 37.
dc.relationKandakoglu, A., Frini, A., Amor, S.B. (2019), Multicriteria decision making for sustainable development: A systematic review. Journal of Multi-Criteria Decision Analysis, 26(5-6), 202-251.
dc.relationMuñoz, Y., Zafra, D., Acevedo, V., Ospino, A. (2014), Analysis of energy production with different photovoltaic technologies in the Colombian geography. International Congress of Mechanical Engineering and Agricultural Sciences, 59, 1-9.
dc.relationNuriyev, M. (2021), An integrated approach for renewable energy resource and plant location selection. International Journal of Energy Economics and Policy, 11(3), 64-72.
dc.relationOspino-Castro, A., Peña-Gallardo, R., Hernández-Rodríguez, A., Segundo-Ramírez, J., Muñoz-Maldonado, Y. (2017), EchnoEconomic Evaluation of a Grid-Connected Hybrid PV-Wind Power Generation System in San Luis Potosi, Mexico. IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC). Ixtapa, Mexico: IEEE, pp. 1-6.
dc.relationOssei-Bremang, R., Kemausuor, F. (2021), A decision support system for the selection of sustainable biomass resources for bioenergy production. Environment Systems and Decisions, 41(3), 437-454.
dc.relationPapaioannou, G., Vasiliades, L., Loukas, A. (2015), Multi-criteria analysis framework for potential flood prone areas mapping. Water Resources Management, 29(2), 399-418.
dc.relationParra-Calderón, C., Osorio-Gómez, J., Escandón-López, J. (2019), Metodología multicriterio para la selección de proveedores bajo consideraciones de riesgo. Scientia Et Technica, 24(2), 232-239.
dc.relationPérez, J., Vargas, C., Riaño, D. (2019), Colombia towards an electricity generation matrix using renewable energies. Renewable Energy and Power Quality Journal, 17, 224-228.
dc.relationRobles-Algarín, C., Taborda-Giraldo, J. and Ospino-Castro, A. (2018). Aprocedure for criteria selection in the energy planning of Colombian rural areas. Informacion Tecnologica, 29(3), 71-80.
dc.relationSaraswat, S., Digalwar, A. (2021), Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach. Renewable Energy, 171, 58-74.
dc.relationSeker, S., Kahraman, C. (2021), Socio-economic evaluation model for sustainable solar PV panels using a novel integrated MCDM methodology: Acase in Turkey. Socio-Economic Planning Sciences,
dc.relationUlewicz, R., Siwiec, D., Pacana, A., Tutak, M., Brodny, J. (2021), Multicriteria method for the selection of renewable energy sources in the polish industrial sector. Energies, 14(9), 2386.
dc.relationUPME. (2015), Integración De Las Energías Renovables no Convencionales En Colombia. Colombia, UPME. Available from: https://www1.upme.gov.co/demandaenergetica/integracion_energias_renovanles_web.pdf
dc.relationUPME. (2020). Plan Energético Nacional 2020-2050. Available from: https://www1.upme.gov.co/demandayeficiencia/documents/pen_2020_2050/plan_energetico_nacional_2020_2050.pdf
dc.relationVinogradova‐Zinkevič, I., Podvezko, V., Zavadskas, E. (2021), Comparative assessment of the stability of ahp and fahp methods. Symmetry, 13(3), 479.
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dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttps://econjournals.com/index.php/ijeep/article/view/12913
dc.subjectDecision-making
dc.subjectFuzzy analytical hierarchical process
dc.subjectRenewable energy
dc.subjectEnergy planning
dc.titleDecision-making support framework for electricity supply in non-interconnected rural areas based on FAHP
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_2df8fbb1
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/coar/version/c_970fb48d4fbd8a85


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