Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region

dc.creatorMoreno Rocha, Christian Manuel
dc.creatorNunez Alvarez, Jose Ricardo
dc.creatorDiaz Castillo, Daniel A.
dc.creatorFlorian Domingue, Esnaider D.
dc.creatorBarrera Hernandez, Juan Camilo
dc.date2022-06-16T14:13:33Z
dc.date2022-06-16T14:13:33Z
dc.date2022-01-05
dc.date.accessioned2023-10-03T19:01:24Z
dc.date.available2023-10-03T19:01:24Z
dc.identifierChristian Manuel Moreno Rocha & Jose Ricardo Nunez Alvarez & Daniel A. Diaz Castillo & Esnaider D. Florian Domingue & Juan Camilo Barrera Hernandez, 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, Econjournals, vol. 12(2), pages 111-119, March.
dc.identifier2146-4553
dc.identifierhttps://hdl.handle.net/11323/9260
dc.identifierhttps://doi.org/10.32479/ijeep.12537
dc.identifier10.32479/ijeep.12537
dc.identifierCorporación Universidad de la Costa
dc.identifierREDICUC - Repositorio CUC
dc.identifierhttps://repositorio.cuc.edu.co/
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9166811
dc.descriptionIn this study, the Analytic Hierarchy Process (AHP) methodology is implemented to provide decision criteria in the selection, planning, and development of electric power generation projects from renewable energy sources in the Caribbean region of Colombia. Six sources of renewable energy; biomass combustion; anaerobic digestion of biomass; biogas landfills; waste incineration; Photovoltaic energy and solar thermal radiation were considered in this study due to their energy potential in rural areas and areas not interconnected to the national electricity system. To determine the order of priority in the development of energy conversion technologies, a questionnaire was developed and sent to a group of experts. Given the need to generate electricity sustainably, the information was analyzed under four main criteria: technical, environmental, social, and economic. Sixteen additional sub-criteria were selected based on a literature review. In general, the economic criterion is the most relevant in the area due to the high investment and operating costs of electricity generation. The social criterion highlights the opportunity to create new jobs, while the environmental criterion highlights the component of substitution of renewable energy, a key aspect in the diversification of the energy matrix, which is part of the country's political agenda. Regarding the technological component, photovoltaic energy seems the most favorable due to its low environmental impact and the considerable reduction in prices experienced by the solar panel market in recent years.
dc.descriptionEconJournals
dc.format9 páginas
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherTurkey
dc.relationInternational Journal of Energy Economics and Policy
dc.relationAlgarín, C.R., Llanos, A.P., Castro, A.O. (2017), An analytic hierarchy process based approach for evaluating renewable energy sources. International Journal of Energy Economics and Policy, 7(4), 38-47.
dc.relationAlptekin, S.E. (2021), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems With Applications, 39(3), 3037-3047.
dc.relationAshek-Al-Aziz, M., Mahmud, S., Islam, M.A., Mahmud, J.A., Hasib, K.M. (2020), A comparative study of AHP and fuzzy AHP method for inconsistent data. International Journal of Sciences: Basic and Applied Research, 54(4), 16-37.
dc.relationBalbis-Morejón, M., Cabello-Eras, J. J., Rey-Hernández, J.M., ReyMartínez, F.J. (2021), Global air conditioning performance indicator (ACPI) for buildings, in tropical climate. Building and Environment, 203, 108071.
dc.relationBudes, F.A.B., Ochoa, G.V., Obregon, L.G., Arango-Manrique, A., Álvarez, J.R.N. (2020), Energy, economic, and environmental evaluation of a proposed solar-wind power on-grid system using HOMER Pro®: A case study in Colombia. Energies, 13(7), 1662.
dc.relationCherni, J.A., Dyner, I., Henao, F., Jaramillo, P., Smith, R., Font, R.O. (2007), Energy supply for sustainable rural livelihoods. A multicriteria decision-support system. Energy Policy, 35(3), 1493-1504.
dc.relationDíaz, S., Moreno, C., Berdugo, K., Silva, J., Caicedo, J., Ruiz, J., Gordon,J. (2021), Electric power losses in distribution networks. Turkish Journal of Computer and Mathematics Education, 12(12), 581-591.
dc.relationEscrivá, L. (2016), Aplicación del Proceso Analítico Jerárquico (AHP) al Dimensionamiento de Sistemas Renovables. Thesis, Technical School of Industrial Engineering, Universidad Politécnica de Valencia, Spain. p84.
dc.relationFerretti, 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.
dc.relationGaete-Morales, C., Gallego-Schmid, A., Stamford, L., Azapagic, A. (2019), Life cycle environmental impacts of electricity from fossil fuels in Chile over a ten-year period. Journal of Cleaner Production, 232, 1499-1512.
dc.relationGarces, E., Tomei, J., Franco, C.J., Dyner, I. (2021), Lessons from last PLOHHOHFWUL¿FDWLRQLQ&RORPELD ([DPLQLQJWKHSROLF\IUDPHZRUN and outcomes for sustainability. Energy Research and Social Science, 79, 102156.
dc.relationGhavami, S.M. (2019), Multi-criteria spatial decision support system for identifying strategic roads in disaster situations. International Journal of Critical Infrastructure Protection, 24, 23-36.
dc.relationHacatoglu, K., Dincer, I., Rosen, M.A. (2015), Sustainability assessment of a hybrid energy system with hydrogen-based storage. International Journal of Hydrogen Energy, 40(3), 1559-1568.
dc.relationHernández, J.C.B., Moreno, C., Ospino-Castro, A., Robles-Algarin, C.A., Tobón-Perez, J. (2021), A hybrid energy solution for the sustainable electricity supply of an irrigation system in a rural area of Zona Bananera, Colombia. International Journal of Energy Economics and Policy, 11(4), 521-528.
dc.relationJamal, T., Urmee, T., Shafiullah, G.M.(2020), Planning of off-grid power supply systems in remote áreas using multi-criteria decision análisis. Energy, 201,117580
dc.relationJohn, 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. Journald of Traffic and Transformation Engineering, 1(3),159-179.
dc.relationKhan, I., Hou, F., Zakari, A., Tawiah, V.K. (2021), The dynamic links among energy transitions, energy consumption, and sustainable economic growth: A novel framework for IEA countries. Energy, 222, 119935.
dc.relationMamaghani, A.H., Avella, S., Najafi.B., Shirazi, A., Rinaldi, F.(2016) Techno-economic feasibility of photovoltaic, wind, diesel and hybrid Electrification systems for off-grid rural electrication in Colombia. Renewable Energy, 97, 293-305.
dc.relationMehrjerdi, H. (2020), Modeling, integration, and optimal selection of the turbine technology in the hybrid wind-photovoltaic renewable energy system design. Energy Conversion and Management, 205, 112350.
dc.relationMilanés-Hermosilla, D., Codorniú, R.T., López-Baracaldo, R., SagaróZamora, R., Delisle-Rodriguez, D., Villarejo-Mayor, J.J., NúñezÁlvarez, J.R. (2021), Monte carlo dropout for uncertainty estimation and motor imagery classification. Sesors, 21 (21), 7241
dc.relationMoghadam, S.T., Lombardi, P. (2019), An interactive multi-criteria spatial decisión support system for energy retrofitting of buildingstocks using communtiy VIZ to support urban energy planning. Building Environment, 163, 106233.
dc.relationNuñez, J.R., Mestre, J., Cabello, J.J., Dominguez, H., Fong, J., Peña, L., Benítez, I. and De Oliveira, D. (2020), Design of a fuzzy controller for a hybrid generation system. IOP Conference Series: Materials Science and Engineering, 844, 012017.
dc.relationOchoa, G.V., Alvarez, J.N., Acevedo, C. (2019), Research evolution on renewable energies resources from 2007 to 2017: A comparative study on solar, geothermal, wind and biomass energy. International Journal of Energy Economics and Policy, 9(6), 242-253.
dc.relationOchoa, G.V., Alvarez, J.N., Chamorro, M.V. (2019), Data set on wind speed, wind direction and wind probability distributions in Puerto Bolivar Colombia. Data in Brief, 27, 104753.
dc.relationRobles-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. Información Tecnológica, 29(3), 71-80.
dc.relationRosso, A.M., Kafarov, V., Latorre-Bayona, G. (2017), A fuzzy logic decision support system for assessing sustainable alternative for power generation in non interconnected areas of Colombia case of study. Chemical Engineering Transactions, 57, 421-426.
dc.relationRuiz, M.C., Romero, E., Pérez, M.A., Fernández, I. (2012), Development and application of a multi-criteria spatial decision support system for planning sustainable industrial areas in Northern Spain. Automation in Construction, 22, 320-333.
dc.relationSaaty, T.L. (1980), The Analytic Hierarchy Process. New York: McGrawHill; 1980.
dc.relationSilvera, O.C., Chamorro, M.V., Ochoa, G.V. (2021), Wind and solar resource assessment and prediction using Artificial Network and semi-empirical model: Case study of the Colombian Caribbean Region. Heliyon, 7(9), e07959.
dc.relationSuresh, V., Muralidhar, M., Kiranmayi, R. (2020), Modelling and optimization o fan off- grid hybrid renewable energy system for electrification in a rural áreas. Energy Reports, 6,594-604.
dc.relationTavana, M., Arteaga, F.J.S., Mohammadi, S., Alimohammadi, M. (2017), A fuzzy multi-criteria spatial decision support system for solar farm location planning. Energy Strategy Reviews, 18, 93-105.
dc.relationVides-Prado, A., Camargo, E.O., Vides-Prado, C., Orozco, I.H., Chenlo, F., Candelo, J.E., Sarmiento, A.B. (2018), Techno-economic feasibility analysis of photovoltaic systems in remote areas for indigenous communities in the Colombian Guajira. Renewable and Sustainable Energy Reviews, 82(3), 4245-4255.
dc.relationVinogradova-Zinkevie, I., Podvezko, V., Zavadskas, E.K. (2021), Comparative assessment of the stability of ahp and fahp methods. Symmetry (Basel), 13(3), 13030479.
dc.relationZanghelini, 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.
dc.relationZeng, Y., Guo, W., Wang, H., Zhang, F. (2019), A two-stage evaluation and optimization method for renewable energy development based on data envelopment analysis. Applied Energy, 262, 114363
dc.relationZhou, J., Wu, Y., Wu, C., Deng, Z., Xu, C., Hu, Y. (2019), A hybrid fuzzy multi-criteria decision-making approach for performance analysis and evaluation of park-level integrated energy system. Energy Conversion and Management, 201, 112134.
dc.relationZhou, X. (2012), Fuzzy Analytical Network Process Implementation with Matlab. In: MATLAB A Fundamental Tool for Scientific Computing and Engineering Applications. Vol. 3. London: InTech. p132-160.
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dc.rightsAtribución 4.0 Internacional (CC BY 4.0)
dc.rightshttps://creativecommons.org/licenses/by/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.sourcehttps://ideas.repec.org/a/eco/journ2/2022-02-11.html
dc.subjectHierarchical analytical process AHP
dc.subjectRenewable energy
dc.subjectDecision making
dc.subjectMulti-criteria
dc.titleImplementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
dc.typeArtículo de revista
dc.typehttp://purl.org/coar/resource_type/c_6501
dc.typeText
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/redcol/resource_type/ART
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typehttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.coverageColombia
dc.coverageCaribbean region


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