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Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP

Author

Listed:
  • Christian Moreno

    (Universidad de la Costa, Barranquilla, Colombia)

  • Adalberto Ospino-Castro

    (Universidad de la Costa, Barranquilla, Colombia)

  • Carlos Robles-Algar n

    (Universidad del Magdalena, Santa Marta, Colombia.)

Abstract

The 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%).

Suggested Citation

  • Christian Moreno & Adalberto Ospino-Castro & Carlos Robles-Algar n, 2022. "Decision-Making Support Framework for Electricity Supply in Non-Interconnected Rural Areas Based on FAHP," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 79-87, September.
    • Handle: RePEc:eco:journ2:2022-05-10
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    References listed on IDEAS

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    Cited by:

    1. Christian M. Moreno Rocha & Jorge D. Melo Boiler & Samira M. Mu oz Pizarro & Leidy M. Mora Higuera & William R. Insignares Conde, 2022. "Evolution, Challenges, and Perspective in the Implementation of Projects with Renewable Energy Sources: Colombia Case," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 230-236, November.
    2. 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.
    3. Muhumuza Ezra Rubanda & Livingstone Senyonga & Mohammed Ngoma & Muyiwa S. Adaramola, 2022. "Electricity Trading in Energy Market Integration: A Theoretical Review," Energies, MDPI, vol. 16(1), pages 1-31, December.
    4. Adalberto Ospino Castro & Carlos Robles-Algarín & Luis Hernández-Callejo & Yecid Muñoz Maldonado & Amanda Mangones Cordero, 2023. "Feasibility Analysis of Offshore Wind Power Projects in the Caribbean Region of Colombia: A Case Study Using FAHP–GIS," Sustainability, MDPI, vol. 15(24), pages 1-19, December.

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    More about this item

    Keywords

    Decision-Making; FAHP; Renewable Energy; Energy Planning;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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