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

In 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 co...

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Autores:
Moreno Rocha, Christian Manuel
Nunez Alvarez, Jose Ricardo
Diaz Castillo, Daniel A.
Florian Domingue, Esnaider D.
Barrera Hernandez, Juan Camilo
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9260
Acceso en línea:
https://hdl.handle.net/11323/9260
https://doi.org/10.32479/ijeep.12537
https://repositorio.cuc.edu.co/
Palabra clave:
Hierarchical analytical process AHP
Renewable energy
Decision making
Multi-criteria
Rights
openAccess
License
Atribución 4.0 Internacional (CC BY 4.0)
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repository_id_str
dc.title.eng.fl_str_mv Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
title Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
spellingShingle Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
Hierarchical analytical process AHP
Renewable energy
Decision making
Multi-criteria
title_short Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
title_full Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
title_fullStr Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
title_full_unstemmed Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
title_sort Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean region
dc.creator.fl_str_mv Moreno Rocha, Christian Manuel
Nunez Alvarez, Jose Ricardo
Diaz Castillo, Daniel A.
Florian Domingue, Esnaider D.
Barrera Hernandez, Juan Camilo
dc.contributor.author.spa.fl_str_mv Moreno Rocha, Christian Manuel
Nunez Alvarez, Jose Ricardo
Diaz Castillo, Daniel A.
Florian Domingue, Esnaider D.
Barrera Hernandez, Juan Camilo
dc.subject.proposal.eng.fl_str_mv Hierarchical analytical process AHP
Renewable energy
Decision making
Multi-criteria
topic Hierarchical analytical process AHP
Renewable energy
Decision making
Multi-criteria
description In 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.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-06-16T14:13:33Z
dc.date.available.none.fl_str_mv 2022-06-16T14:13:33Z
dc.date.issued.none.fl_str_mv 2022-01-05
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.citation.spa.fl_str_mv Christian 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.identifier.issn.spa.fl_str_mv 2146-4553
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9260
dc.identifier.url.spa.fl_str_mv https://doi.org/10.32479/ijeep.12537
dc.identifier.doi.spa.fl_str_mv 10.32479/ijeep.12537
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 Christian 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.
2146-4553
10.32479/ijeep.12537
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9260
https://doi.org/10.32479/ijeep.12537
https://repositorio.cuc.edu.co/
dc.language.iso.none.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 Algarín, 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.
Alptekin, S.E. (2021), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems With Applications, 39(3), 3037-3047.
Ashek-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.
Balbis-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.
Budes, 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.
Cherni, 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.
Díaz, 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.
Escrivá, 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.
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.
Gaete-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.
Garces, 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.
Ghavami, 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.
Hacatoglu, 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.
Hernández, 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.
Jamal, 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
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. Journald of Traffic and Transformation Engineering, 1(3),159-179.
Khan, 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.
Mamaghani, 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.
Mehrjerdi, 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.
Milanés-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
Moghadam, 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.
Nuñez, 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.
Ochoa, 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.
Ochoa, 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.
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. Información Tecnológica, 29(3), 71-80.
Rosso, 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.
Ruiz, 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.
Saaty, T.L. (1980), The Analytic Hierarchy Process. New York: McGrawHill; 1980.
Silvera, 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.
Suresh, 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.
Tavana, 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.
Vides-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.
Vinogradova-Zinkevie, I., Podvezko, V., Zavadskas, E.K. (2021), Comparative assessment of the stability of ahp and fahp methods. Symmetry (Basel), 13(3), 13030479.
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.
Zeng, 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
Zhou, 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.
Zhou, 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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spelling Moreno Rocha, Christian Manuel Nunez Alvarez, Jose RicardoDiaz Castillo, Daniel A.Florian Domingue, Esnaider D.Barrera Hernandez, Juan Camilo2022-06-16T14:13:33Z2022-06-16T14:13:33Z2022-01-05Christian 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.2146-4553https://hdl.handle.net/11323/9260https://doi.org/10.32479/ijeep.1253710.32479/ijeep.12537Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In 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.EconJournals9 páginasapplication/pdfengAtribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Implementation of the hierarchical analytical process in the selection of the best source of renewable energy in the colombian caribbean regionArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://ideas.repec.org/a/eco/journ2/2022-02-11.htmlColombiaCaribbean regionTurkeyInternational Journal of Energy Economics and PolicyAlgarín, 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.Alptekin, S.E. (2021), A fuzzy decision support system for digital camera selection based on user preferences. Expert Systems With Applications, 39(3), 3037-3047.Ashek-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.Balbis-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.Budes, 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.Cherni, 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.Díaz, 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.Escrivá, 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.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.Gaete-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.Garces, 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.Ghavami, 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.Hacatoglu, 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.Hernández, 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.Jamal, T., Urmee, T., Shafiullah, G.M.(2020), Planning of off-grid power supply systems in remote áreas using multi-criteria decision análisis. Energy, 201,117580John, 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.Khan, 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.Mamaghani, 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.Mehrjerdi, 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.Milanés-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), 7241Moghadam, 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.Nuñez, 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.Ochoa, 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.Ochoa, 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.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. Información Tecnológica, 29(3), 71-80.Rosso, 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.Ruiz, 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.Saaty, T.L. (1980), The Analytic Hierarchy Process. New York: McGrawHill; 1980.Silvera, 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.Suresh, 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.Tavana, 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.Vides-Prado, A., Camargo, E.O., Vides-Prado, C., Orozco, I.H., Chenlo, F., Candelo, J.E., Sarmiento, A.B. 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