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Implementation of the Hierarchical Analytical Process in the Selection of the Best Source of Renewable Energy in the Colombian Caribbean Region

Author

Listed:
  • Christian Manuel Moreno Rocha

    (Department of Energy, Universidad de la Costa (CUC), Barranquilla, Atl ntico, Colombia)

  • Jose Ricardo Nunez Alvarez

    (Department of Energy, Universidad de la Costa (CUC), Barranquilla, Atl ntico, Colombia)

  • Daniel A. Diaz Castillo

    (Department of Energy, Universidad de la Costa (CUC), Barranquilla, Atl ntico, Colombia)

  • Esnaider D. Florian Domingue

    (Department of Energy, Universidad de la Costa (CUC), Barranquilla, Atl ntico, Colombia)

  • Juan Camilo Barrera Hernandez

    (Department of Energy, Universidad de la Costa (CUC), Barranquilla, Atl ntico, Colombia)

Abstract

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.

Suggested Citation

  • 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.
    • Handle: RePEc:eco:journ2:2022-02-11
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    References listed on IDEAS

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    1. repec:eco:journ2:2017-04-06 is not listed on IDEAS
    2. Farid Antonio Barrozo Budes & Guillermo Valencia Ochoa & Luis Guillermo Obregon & Adriana Arango-Manrique & José Ricardo Núñez Álvarez, 2020. "Energy, Economic, and Environmental Evaluation of a Proposed Solar-Wind Power On-grid System Using HOMER Pro ® : A Case Study in Colombia," Energies, MDPI, vol. 13(7), pages 1-19, April.
    3. Cherni, Judith A. & Dyner, Isaac & Henao, Felipe & Jaramillo, Patricia & Smith, Ricardo & Font, Raul Olalde, 2007. "Energy supply for sustainable rural livelihoods. A multi-criteria decision-support system," Energy Policy, Elsevier, vol. 35(3), pages 1493-1504, March.
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    Cited by:

    1. Christian Manuel Moreno Rocha & Jorge D. Pertuz Ortiz & Neyder A. Rodriguez Ibanez, 2023. "A Diffuse Analysis Based on Analytical Processes to Prioritize Barriers in the Development of Renewable Energy Technologies in Alignment with the United Nations Sustainable Development Goals: Evidence," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 481-195, July.

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    More about this item

    Keywords

    Hierarchical analytical process AHP; Renewable energy; Decision making; Multi-criteria;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C46 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Specific Distributions

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