Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone

This research presents the process and the results to weigh and classify a set of criteria and subcriteria to be considered in Renewable Energy Planning projects for a particular area of Colombia. The implementation of electrification programs in the study area faces various obstacles, among them th...

Full description

Autores:
Moreno Rocha, Christian Manuel
Fernández Pérez, David
Rodríguez Retamoza, Jesus
Silva Ortega, Jorge I
Brieva Bohorquez, Denis
TABORDA CATALAN, LUIS ALBERTO
Tipo de recurso:
Article of investigation
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9794
Acceso en línea:
https://hdl.handle.net/11323/9794
https://repositorio.cuc.edu.co/
Palabra clave:
Hierarchical Analytical Process AHP
Renewable energy
Decision making
Multi-criteria
Key performance indicators
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
id RCUC2_92187a1f02f3d7b9f0de21635192adc8
oai_identifier_str oai:repositorio.cuc.edu.co:11323/9794
network_acronym_str RCUC2
network_name_str REDICUC - Repositorio CUC
repository_id_str
dc.title.eng.fl_str_mv Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
title Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
spellingShingle Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
Hierarchical Analytical Process AHP
Renewable energy
Decision making
Multi-criteria
Key performance indicators
title_short Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
title_full Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
title_fullStr Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
title_full_unstemmed Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
title_sort Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone
dc.creator.fl_str_mv Moreno Rocha, Christian Manuel
Fernández Pérez, David
Rodríguez Retamoza, Jesus
Silva Ortega, Jorge I
Brieva Bohorquez, Denis
TABORDA CATALAN, LUIS ALBERTO
dc.contributor.author.none.fl_str_mv Moreno Rocha, Christian Manuel
Fernández Pérez, David
Rodríguez Retamoza, Jesus
Silva Ortega, Jorge I
Brieva Bohorquez, Denis
TABORDA CATALAN, LUIS ALBERTO
dc.subject.proposal.eng.fl_str_mv Hierarchical Analytical Process AHP
Renewable energy
Decision making
Multi-criteria
Key performance indicators
topic Hierarchical Analytical Process AHP
Renewable energy
Decision making
Multi-criteria
Key performance indicators
description This research presents the process and the results to weigh and classify a set of criteria and subcriteria to be considered in Renewable Energy Planning projects for a particular area of Colombia. The implementation of electrification programs in the study area faces various obstacles, among them the inadequate selection of criteria and sub-criteria for assessing the relevance and credibility of the implemented projects, which is very important today, causing huge losses from many points of view. It is proposed to implement a multicriteria methodology (MMCM) that prioritizes criteria and subcriteria, the selected methodology is applied to the use of renewable and conventional energy sources in urban, rural,and isolated regions, one of the most used methods in the best selection process and also when making energy decisions. The Hierarchy Analysis Process (AHP) is used, the data is obtained from a survey to a group of experts with a collection and verification period of about 4 months, only to reduce inaccuracies on the developer side. This study explains the results obtained with a new multipurpose support system that helps to prioritize the most appropriate energy decision criteria and subcriteria of energy options to provide sufficient energy to meet local needs and improve living conditions. Based on the literature review, 4 criteria and 16 subcriteria were identified and submitted to review using the AHP methodology (Hierarchical Analysis Process). It can be determined that the most important criterion is the economic, followed by the social, environmental, and technical, and a hierarchy of subcriteria related to each criterion is established, establishing that for the study area the best source of energy is photovoltaic solar by communities.
publishDate 2022
dc.date.issued.none.fl_str_mv 2022-09-27
dc.date.accessioned.none.fl_str_mv 2023-01-23T15:03:26Z
dc.date.available.none.fl_str_mv 2023-01-23T15:03:26Z
dc.type.spa.fl_str_mv Artículo de revista
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv Rocha, C. M. M., Perez, D. F. ., Retamoza, J. R., Ortega, J. S., Bohorquez, D. B., & Catalan, L. T. (2022). Evaluation, Hierarchy and Selection of the best Source of Energy by using AHP, as a Proposed Solution to an Energy and Socio-economic Problem, in the case of Colombia’s Pacific Zone. International Journal of Energy Economics and Policy, 12(5), 409–419. https://doi.org/10.32479/ijeep.13448
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/9794
dc.identifier.doi.none.fl_str_mv 10.32479/ijeep.13448
dc.identifier.eissn.spa.fl_str_mv 2146-4553
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv Rocha, C. M. M., Perez, D. F. ., Retamoza, J. R., Ortega, J. S., Bohorquez, D. B., & Catalan, L. T. (2022). Evaluation, Hierarchy and Selection of the best Source of Energy by using AHP, as a Proposed Solution to an Energy and Socio-economic Problem, in the case of Colombia’s Pacific Zone. International Journal of Energy Economics and Policy, 12(5), 409–419. https://doi.org/10.32479/ijeep.13448
10.32479/ijeep.13448
2146-4553
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9794
https://repositorio.cuc.edu.co/
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv International Journal of Energy Economics and Policy
dc.relation.references.spa.fl_str_mv Alptekin, S.E. (2012), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems with Applications, 39(3), 3037-3047.
Barrera, N.A.G., González, D.C.P., Mesa, F., Aristizábal, A.J. (2021), Procedure for the practical and economic integration of solar PV energy in the city of Bogotá. Energy Reports, 7(5), 163-180.
Camargo, E.O., Becerra, J.E.C., Silva-Ortega, J.I. (2017), Caracterización de los potenciales de energía solar y eólica para la integración de proyectos sostenibles en comunidades indígenas en la guajira Colombia solar and wind energy potential characterization to integrate sustainable projects in native communit. Espacios, 38(37), 11-22.
Campos-Guzmán, V., García-Cáscales, M.S., Espinosa, N., Urbina, A. (2019), Life cycle analysis with multi-criteria decision making: Areview of approaches for the sustainability evaluation of renewable energy technologies. Renewable and Sustainable Energy Reviews, 104, 343-366.
Carpitella, S., Ocaña-Levario, S.J., Benítez, J., Certa, A., Izquierdo, J. (2018), A hybrid multi-criteria approach to GPR image mining applied to water supply system maintenance. Journal of Applied Geophysics, 159, 754-764.
Coronel, E.M.B., Moreno, P.E.C. (2018), Selección de Energías Renovables en Ambientes Urbanos Aplicando Métodos Multicriterio y Lógica Difusa, Estudio de Caso Ciudad de Cuenca. Available from: https://www.dspace.ups.edu.ec/handle/123456789/15556
Ferretti, V., Montibeller, G. (2016), Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems. Decision Support Systems, 84, 41-52.
Gielen, D., Boshell, F., Saygin, D., Bazilian, M.D., Wagner, N., Gorini, R. (2019), The role of renewable energy in the global energy transformation. Energy Strategy Reviews, 24, 38-50.
Guzman, L., Henao, A. (2022), Are the current incentives sufficient to drive the use of solar PV in the Colombian residential sector? An analysis from the perspective of the game theory. Energy Strategy Reviews, 40, 100816.
Houlden, B.T. (1962), Operations research/management science. In Journal of the Operational Research Society, 13(3), 274.
Jamal, T., Urmee, T., Shafiullah, G.M. (2020), Planning of off-grid power supply systems in remote areas using multi-criteria decision analysis. Energy, 201, 117580.
John, A., Yang, Z., Riahi, R., Wang, J. (2014), Application of a collaborative modelling and strategic fuzzy decision support system for selecting appropriate resilience strategies for seaport operations. Journal of Traffic and Transportation Engineering, 1(3), 159-179.
Kabir, G., Ahmed, S.K., Aalirezaei, A., Ng, K.T.W. (2022), Benchmarking Canadian solid waste management system integrating fuzzy analytic hierarchy process (FAHP) with efficacy methods. Environmental Science and Pollution Research, 29(34), 51578-51588.
Karakas, E., Yildiran, O.V. (2019), Evaluation of renewable energy alternatives for turkey via modified fuzzy AHP. International Journal of Energy Economics and Policy, 9(2), 31-39.
Kim, B.C., Kim, J., Kim, J. (2019), Evaluation model for investment in solar photovoltaic power generation using fuzzy analytic hierarchy process. Sustainability (Switzerland), 11(10), 2905.
Magazine, S. (2017), Electrification in Non-Interconnected Areas. Towards a new vision of rurality in Colombia. IEEE Technology and Society Magazine, 36(4), 73-79.
Maity, B., Mallick, S.K., Das, P., Rudra, S. (2022), Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods. Applied Water Science, 12(4), 63.
Manuel, C., Rocha, M., Domíngue, E.D.F., Castillo, D.A.D., Vargas, L., Alfredo, A., Guzman, M. (2022), Evaluation of energy alternatives through FAHP for the energization of Colombian insular areas. International Journal of Energy Economics and Policy, 12(4), 87-98.
Moghadam, S.T., Lombardi, P. (2019), An interactive multi-criteria spatial decision support system for energy retrofitting of building stocks using communtiyVIZ to support urban energy planning. Building and Environment, 163, 106233.
Moreno, C., Milanes, C.B., Arguello, W., Fontalvo, A., Alvarez, R.N. (2022), Challenges and perspectives of the use of photovoltaic solar energy in Colombia. International Journal of Electrical and Computer Engineering, 12(5), 4521-4528.
Moreno, R., Larrahondo, D. (2021), The first auction of non-conventional renewable energy in colombia: Results and perspectives. International Journal of Energy Economics and Policy, 11(1), 528-535.
Moustakas, K., Loizidou, M., Rehan, M., Nizami, A.S. (2020), A review of recent developments in renewable and sustainable energy systems: Key challenges and future perspective. Renewable and Sustainable Energy Reviews, 119, 109418.
Perez-Moscote, D.A., Tyagunov, M.G. (2022), Modeling of a Distributed Energy System with Renewable Generation, Demand-side Flexibility, and Behind-the-meter Batteries. Proceedings of the 2022. In: 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE. Vol. 2022. Russia: National Research University. p4.
Robles-Algarín, C.A., Taborda-Giraldo, J.A., Ospino-Castro, A.J. (2018), A procedure for criteria selection in the energy planning of Colombian rural areas. Informacion Tecnologica, 29(3), 71-80.
Rocha, C.M.M., Alvarez, J.R.N., Castillo, D.A.D., Domingue, E.D.F., Hernandez, J.C.B. (2022), Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the Colombian caribbean region. International Journal of Energy Economics and Policy, 12(2), 111-119.
Savino, M.M., Manzini, R., Selva, V.D., Accorsi, R. (2017), A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines. Applied Energy, 189, 739-752.
Srinivasan, C.S., Zanello, G., Nkegbe, P., Cherukuri, R., Picchioni, F., Gowdru, N., Webb, P. (2020), Drudgery reduction, physical activity and energy requirements in rural livelihoods. Economics and Human Biology, 37, 100846.
Strantzali, E., Aravossis, K. (2016), Decision making in renewable energy investments: A review. Renewable and Sustainable Energy Reviews, 55, 885-898.
Thomasi, V., Siluk, J .C., Rigo, P.D., Rosa, C.B., Garcia, E.D., Cassel,R.A., Ramos, C.F. (2022), A model for measuring the photovoltaic project performance in energy auctions. International Journal of Energy Economics and Policy, 12(4), 501-511.
Villada, F., Saldarriaga-Loaiza, J.D., López-Lezama, J.M. (2021), Incentives for renewable energies in colombia. Renewable Energy and Power Quality Journal, 19(1), 24-27.
Yang, M., Ji, Z., Zhang, L., Zhang, A., Xia, Y. (2022), A hybrid comprehensive performance evaluation approach of cutter holder for tunnel boring machine. Advanced Engineering Informatics, 52, 101546.
Zanghelini, G.M., Cherubini, E., Soares, S.R. (2018), How multi-criteria decision analysis (MCDA) is aiding life cycle assessment (LCA) in results interpretation. Journal of Cleaner Production, 172, 609-622.
Zhou, X. (2012), Fuzzy Analytical Network Process Implementation with Matlab. MATLAB-A Fundamental Tool for Scientific Computing and Engineering Applications. Vol. 3. London: IntechOpen.
Zhu, Y., Tan, J., Cao, Y., Liu, Y., Liu, Y., Zhang, Q., Liu, Q. (2022), Application of fuzzy analytic hierarchy process in environmental economics education: Under the online and offline blended teaching mode. Sustainability, 14(4), 2414.
dc.relation.citationendpage.spa.fl_str_mv 419
dc.relation.citationstartpage.spa.fl_str_mv 409
dc.relation.citationissue.spa.fl_str_mv 5
dc.relation.citationvolume.spa.fl_str_mv 12
dc.rights.license.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
https://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 11 páginas
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.coverage.country.none.fl_str_mv Colombia
dc.coverage.region.none.fl_str_mv Pacific Zone
dc.publisher.spa.fl_str_mv EconJournals
dc.publisher.place.spa.fl_str_mv Turkey
dc.source.spa.fl_str_mv https://econjournals.com/index.php/ijeep/article/view/13448
institution Corporación Universidad de la Costa
bitstream.url.fl_str_mv https://repositorio.cuc.edu.co/bitstreams/839e4c80-09a6-4440-aa02-ebdda7a48940/download
https://repositorio.cuc.edu.co/bitstreams/48882efc-6fd7-4d6b-9b1f-c0f240bbd2bb/download
https://repositorio.cuc.edu.co/bitstreams/9b823213-e8b6-44c5-bf74-83e68d483440/download
https://repositorio.cuc.edu.co/bitstreams/41d9e4c4-54bf-4a13-89e3-8177a2d49c81/download
bitstream.checksum.fl_str_mv 2f9959eaf5b71fae44bbf9ec84150c7a
02e552b8f8fb8d0c24d422318e67a357
83e8714b26c1146544de74cf9d61b064
1f4b87821b2f39f0360dd134f9339249
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio de la Universidad de la Costa CUC
repository.mail.fl_str_mv repdigital@cuc.edu.co
_version_ 1811760771853451264
spelling Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Moreno Rocha, Christian Manuel Fernández Pérez, DavidRodríguez Retamoza, JesusSilva Ortega, Jorge IBrieva Bohorquez, DenisTABORDA CATALAN, LUIS ALBERTO2023-01-23T15:03:26Z2023-01-23T15:03:26Z2022-09-27Rocha, C. M. M., Perez, D. F. ., Retamoza, J. R., Ortega, J. S., Bohorquez, D. B., & Catalan, L. T. (2022). Evaluation, Hierarchy and Selection of the best Source of Energy by using AHP, as a Proposed Solution to an Energy and Socio-economic Problem, in the case of Colombia’s Pacific Zone. International Journal of Energy Economics and Policy, 12(5), 409–419. https://doi.org/10.32479/ijeep.13448https://hdl.handle.net/11323/979410.32479/ijeep.134482146-4553Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This research presents the process and the results to weigh and classify a set of criteria and subcriteria to be considered in Renewable Energy Planning projects for a particular area of Colombia. The implementation of electrification programs in the study area faces various obstacles, among them the inadequate selection of criteria and sub-criteria for assessing the relevance and credibility of the implemented projects, which is very important today, causing huge losses from many points of view. It is proposed to implement a multicriteria methodology (MMCM) that prioritizes criteria and subcriteria, the selected methodology is applied to the use of renewable and conventional energy sources in urban, rural,and isolated regions, one of the most used methods in the best selection process and also when making energy decisions. The Hierarchy Analysis Process (AHP) is used, the data is obtained from a survey to a group of experts with a collection and verification period of about 4 months, only to reduce inaccuracies on the developer side. This study explains the results obtained with a new multipurpose support system that helps to prioritize the most appropriate energy decision criteria and subcriteria of energy options to provide sufficient energy to meet local needs and improve living conditions. Based on the literature review, 4 criteria and 16 subcriteria were identified and submitted to review using the AHP methodology (Hierarchical Analysis Process). It can be determined that the most important criterion is the economic, followed by the social, environmental, and technical, and a hierarchy of subcriteria related to each criterion is established, establishing that for the study area the best source of energy is photovoltaic solar by communities.11 páginasapplication/pdfengEconJournalsTurkeyhttps://econjournals.com/index.php/ijeep/article/view/13448Evaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zoneArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85ColombiaPacific ZoneInternational Journal of Energy Economics and PolicyAlptekin, S.E. (2012), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems with Applications, 39(3), 3037-3047.Barrera, N.A.G., González, D.C.P., Mesa, F., Aristizábal, A.J. (2021), Procedure for the practical and economic integration of solar PV energy in the city of Bogotá. Energy Reports, 7(5), 163-180.Camargo, E.O., Becerra, J.E.C., Silva-Ortega, J.I. (2017), Caracterización de los potenciales de energía solar y eólica para la integración de proyectos sostenibles en comunidades indígenas en la guajira Colombia solar and wind energy potential characterization to integrate sustainable projects in native communit. Espacios, 38(37), 11-22.Campos-Guzmán, V., García-Cáscales, M.S., Espinosa, N., Urbina, A. (2019), Life cycle analysis with multi-criteria decision making: Areview of approaches for the sustainability evaluation of renewable energy technologies. Renewable and Sustainable Energy Reviews, 104, 343-366.Carpitella, S., Ocaña-Levario, S.J., Benítez, J., Certa, A., Izquierdo, J. (2018), A hybrid multi-criteria approach to GPR image mining applied to water supply system maintenance. Journal of Applied Geophysics, 159, 754-764.Coronel, E.M.B., Moreno, P.E.C. (2018), Selección de Energías Renovables en Ambientes Urbanos Aplicando Métodos Multicriterio y Lógica Difusa, Estudio de Caso Ciudad de Cuenca. Available from: https://www.dspace.ups.edu.ec/handle/123456789/15556Ferretti, V., Montibeller, G. (2016), Key challenges and meta-choices in designing and applying multi-criteria spatial decision support systems. Decision Support Systems, 84, 41-52.Gielen, D., Boshell, F., Saygin, D., Bazilian, M.D., Wagner, N., Gorini, R. (2019), The role of renewable energy in the global energy transformation. Energy Strategy Reviews, 24, 38-50.Guzman, L., Henao, A. (2022), Are the current incentives sufficient to drive the use of solar PV in the Colombian residential sector? An analysis from the perspective of the game theory. Energy Strategy Reviews, 40, 100816.Houlden, B.T. (1962), Operations research/management science. In Journal of the Operational Research Society, 13(3), 274.Jamal, T., Urmee, T., Shafiullah, G.M. (2020), Planning of off-grid power supply systems in remote areas using multi-criteria decision analysis. Energy, 201, 117580.John, A., Yang, Z., Riahi, R., Wang, J. (2014), Application of a collaborative modelling and strategic fuzzy decision support system for selecting appropriate resilience strategies for seaport operations. Journal of Traffic and Transportation Engineering, 1(3), 159-179.Kabir, G., Ahmed, S.K., Aalirezaei, A., Ng, K.T.W. (2022), Benchmarking Canadian solid waste management system integrating fuzzy analytic hierarchy process (FAHP) with efficacy methods. Environmental Science and Pollution Research, 29(34), 51578-51588.Karakas, E., Yildiran, O.V. (2019), Evaluation of renewable energy alternatives for turkey via modified fuzzy AHP. International Journal of Energy Economics and Policy, 9(2), 31-39.Kim, B.C., Kim, J., Kim, J. (2019), Evaluation model for investment in solar photovoltaic power generation using fuzzy analytic hierarchy process. Sustainability (Switzerland), 11(10), 2905.Magazine, S. (2017), Electrification in Non-Interconnected Areas. Towards a new vision of rurality in Colombia. IEEE Technology and Society Magazine, 36(4), 73-79.Maity, B., Mallick, S.K., Das, P., Rudra, S. (2022), Comparative analysis of groundwater potentiality zone using fuzzy AHP, frequency ratio and Bayesian weights of evidence methods. Applied Water Science, 12(4), 63.Manuel, C., Rocha, M., Domíngue, E.D.F., Castillo, D.A.D., Vargas, L., Alfredo, A., Guzman, M. (2022), Evaluation of energy alternatives through FAHP for the energization of Colombian insular areas. International Journal of Energy Economics and Policy, 12(4), 87-98.Moghadam, S.T., Lombardi, P. (2019), An interactive multi-criteria spatial decision support system for energy retrofitting of building stocks using communtiyVIZ to support urban energy planning. Building and Environment, 163, 106233.Moreno, C., Milanes, C.B., Arguello, W., Fontalvo, A., Alvarez, R.N. (2022), Challenges and perspectives of the use of photovoltaic solar energy in Colombia. International Journal of Electrical and Computer Engineering, 12(5), 4521-4528.Moreno, R., Larrahondo, D. (2021), The first auction of non-conventional renewable energy in colombia: Results and perspectives. International Journal of Energy Economics and Policy, 11(1), 528-535.Moustakas, K., Loizidou, M., Rehan, M., Nizami, A.S. (2020), A review of recent developments in renewable and sustainable energy systems: Key challenges and future perspective. Renewable and Sustainable Energy Reviews, 119, 109418.Perez-Moscote, D.A., Tyagunov, M.G. (2022), Modeling of a Distributed Energy System with Renewable Generation, Demand-side Flexibility, and Behind-the-meter Batteries. Proceedings of the 2022. In: 4th International Youth Conference on Radio Electronics, Electrical and Power Engineering, REEPE. Vol. 2022. Russia: National Research University. p4.Robles-Algarín, C.A., Taborda-Giraldo, J.A., Ospino-Castro, A.J. (2018), A procedure for criteria selection in the energy planning of Colombian rural areas. Informacion Tecnologica, 29(3), 71-80.Rocha, C.M.M., Alvarez, J.R.N., Castillo, D.A.D., Domingue, E.D.F., Hernandez, J.C.B. (2022), Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the Colombian caribbean region. International Journal of Energy Economics and Policy, 12(2), 111-119.Savino, M.M., Manzini, R., Selva, V.D., Accorsi, R. (2017), A new model for environmental and economic evaluation of renewable energy systems: The case of wind turbines. Applied Energy, 189, 739-752.Srinivasan, C.S., Zanello, G., Nkegbe, P., Cherukuri, R., Picchioni, F., Gowdru, N., Webb, P. (2020), Drudgery reduction, physical activity and energy requirements in rural livelihoods. Economics and Human Biology, 37, 100846.Strantzali, E., Aravossis, K. (2016), Decision making in renewable energy investments: A review. Renewable and Sustainable Energy Reviews, 55, 885-898.Thomasi, V., Siluk, J .C., Rigo, P.D., Rosa, C.B., Garcia, E.D., Cassel,R.A., Ramos, C.F. (2022), A model for measuring the photovoltaic project performance in energy auctions. International Journal of Energy Economics and Policy, 12(4), 501-511.Villada, F., Saldarriaga-Loaiza, J.D., López-Lezama, J.M. (2021), Incentives for renewable energies in colombia. Renewable Energy and Power Quality Journal, 19(1), 24-27.Yang, M., Ji, Z., Zhang, L., Zhang, A., Xia, Y. (2022), A hybrid comprehensive performance evaluation approach of cutter holder for tunnel boring machine. Advanced Engineering Informatics, 52, 101546.Zanghelini, G.M., Cherubini, E., Soares, S.R. (2018), How multi-criteria decision analysis (MCDA) is aiding life cycle assessment (LCA) in results interpretation. Journal of Cleaner Production, 172, 609-622.Zhou, X. (2012), Fuzzy Analytical Network Process Implementation with Matlab. MATLAB-A Fundamental Tool for Scientific Computing and Engineering Applications. Vol. 3. London: IntechOpen.Zhu, Y., Tan, J., Cao, Y., Liu, Y., Liu, Y., Zhang, Q., Liu, Q. (2022), Application of fuzzy analytic hierarchy process in environmental economics education: Under the online and offline blended teaching mode. Sustainability, 14(4), 2414.419409512Hierarchical Analytical Process AHPRenewable energyDecision makingMulti-criteriaKey performance indicatorsPublicationLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/839e4c80-09a6-4440-aa02-ebdda7a48940/download2f9959eaf5b71fae44bbf9ec84150c7aMD52ORIGINALEvaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone.pdfEvaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone.pdfArtículoapplication/pdf1633281https://repositorio.cuc.edu.co/bitstreams/48882efc-6fd7-4d6b-9b1f-c0f240bbd2bb/download02e552b8f8fb8d0c24d422318e67a357MD51TEXTEvaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone.pdf.txtEvaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone.pdf.txtExtracted texttext/plain53814https://repositorio.cuc.edu.co/bitstreams/9b823213-e8b6-44c5-bf74-83e68d483440/download83e8714b26c1146544de74cf9d61b064MD53THUMBNAILEvaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone.pdf.jpgEvaluation, hierarchy and selection of the best source of energy by using AHP, as a proposed solution to an energy and socio-economic problem, in the case of Colombia’s Pacific zone.pdf.jpgGenerated Thumbnailimage/jpeg17043https://repositorio.cuc.edu.co/bitstreams/41d9e4c4-54bf-4a13-89e3-8177a2d49c81/download1f4b87821b2f39f0360dd134f9339249MD5411323/9794oai:repositorio.cuc.edu.co:11323/97942024-09-17 11:04:52.393https://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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