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Energy management scenarios in off-grid regions: Applications in Colombia, using the day-ahead mechanism

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  • Moncada, Favián L.
  • Aristizábal, Andrés J.
  • Banguero, Edison
  • Dyner, Isaac

Abstract

This study evaluates energy management and planning in off-grid scenarios in Colombia, where populations face energy access deficits, with supply available for only a few hours each day. The main objective is to develop a tool for designing operational tariff structures that promote the efficient use of electricity. This research is fundamental because it conducts a scenario analysis of demand and price response based on a day-ahead transaction scheme and offers a structured approach through a four-block methodology: Energy Data, Generator Identifier, Case Studies, and Results Analysis. The methodology is enhanced with univariate sensitivity analysis and includes prosumer user behavior and an economic evaluation of the system. Additionally, it presents preferred options that reflect the uncertainty caused by the volatility of electricity market prices. The simulations propose off-grid scenarios with 100 % demand coverage, with a supply capacity of 1.6 MW/h for approximately 2221 users, estimating monthly coverage of 150 MWh and an average consumption of 70 kWh per user. The results highlight 100 % participation in photovoltaic generation, with an LCOE of 0.049 USD/kWh.

Suggested Citation

  • Moncada, Favián L. & Aristizábal, Andrés J. & Banguero, Edison & Dyner, Isaac, 2024. "Energy management scenarios in off-grid regions: Applications in Colombia, using the day-ahead mechanism," Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:energy:v:313:y:2024:i:c:s0360544224035679
    DOI: 10.1016/j.energy.2024.133789
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    References listed on IDEAS

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    1. O׳Connell, Niamh & Pinson, Pierre & Madsen, Henrik & O׳Malley, Mark, 2014. "Benefits and challenges of electrical demand response: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 686-699.
    2. Cruz, Carlos & Alskaif, Tarek & Palomar, Esther & Bravo, Ignacio, 2023. "Prosumers integration in aggregated demand response systems," Energy Policy, Elsevier, vol. 182(C).
    3. Dong, Zeyuan & Zhang, Zhao & Huang, Minghui & Yang, Shaorong & Zhu, Jun & Zhang, Meng & Chen, Dongjiu, 2024. "Research on day-ahead optimal dispatching of virtual power plants considering the coordinated operation of diverse flexible loads and new energy," Energy, Elsevier, vol. 297(C).
    4. Wang, Xinlin & Wang, Hao & Ahn, Sung-Hoon, 2021. "Demand-side management for off-grid solar-powered microgrids: A case study of rural electrification in Tanzania," Energy, Elsevier, vol. 224(C).
    5. McCallum, Christopher S. & Kumar, Narendran & Curry, Robin & McBride, Katherine & Doran, John, 2021. "Renewable electricity generation for off grid remote communities; Life Cycle Assessment Study in Alaska, USA," Applied Energy, Elsevier, vol. 299(C).
    6. Elgamal, M. & Korovkin, Nikolay & Abdel Menaem, A. & Elmitwally, Akram, 2022. "Day-ahead complex power scheduling in a reconfigurable hybrid-energy islanded microgrid with responsive demand considering uncertainty and different load models," Applied Energy, Elsevier, vol. 309(C).
    Full references (including those not matched with items on IDEAS)

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