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The least cost design of 100% solar power microgrids in Africa: sensitivity to meteorological and economic drivers and possibility for simple pre-sizing rules

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  • T. Chamarande

    (IGE - Institut des Géosciences de l’Environnement - IRD - Institut de Recherche pour le Développement - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes, SE - Schneider Electric)

  • S. Mathy

    (GAEL - Laboratoire d'Economie Appliquée de Grenoble - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • B. Hingray

    (IGE - Institut des Géosciences de l’Environnement - IRD - Institut de Recherche pour le Développement - INSU - CNRS - Institut national des sciences de l'Univers - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

Abstract

Autonomous micro-grids based on solar photovoltaic (PV) are one of the most promising solutions to provide electricity access in many regions worldwide. Different storage/PV capacities can produce the same level of quality service, but an optimal design is typically identified to minimize the levelized cost of electricity. This cost optimization however relies on technical and economic hypothesis that come with large uncertainties and/or spatial disparities. This article explores the sensitivity of the optimal sizing to variations and uncertainties of such parameters. Using data from Heliosat and ERA5, we simulate the solar PV production and identify the least cost configurations for 200 locations in Africa. Our results show that the optimal configuration is highly dependent on the characteristics of the resource, and especially on its co-variability structure with the electric demand on different timescales. It is conversely rather insensitive to cost hypotheses, which allow us to propose simple pre-sizing rules based on the only characteristics of the solar resource and electricity demand. The optimal storage capacity can be estimated from the 75th percentile of the daily nocturnal demand and the optimal PV capacity from the mean demand and the standard deviation of the daily power difference between solar production and demand.

Suggested Citation

  • T. Chamarande & S. Mathy & B. Hingray, 2022. "The least cost design of 100% solar power microgrids in Africa: sensitivity to meteorological and economic drivers and possibility for simple pre-sizing rules," Post-Print hal-03740059, HAL.
    • Handle: RePEc:hal:journl:hal-03740059
    DOI: 10.1016/j.esd.2022.07.001
    Note: View the original document on HAL open archive server: https://hal.science/hal-03740059
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    References listed on IDEAS

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    1. Plain, N. & Hingray, B. & Mathy, S., 2019. "Accounting for low solar resource days to size 100% solar microgrids power systems in Africa," Renewable Energy, Elsevier, vol. 131(C), pages 448-458.
    2. Nerini, Francesco Fuso & Broad, Oliver & Mentis, Dimitris & Welsch, Manuel & Bazilian, Morgan & Howells, Mark, 2016. "A cost comparison of technology approaches for improving access to electricity services," Energy, Elsevier, vol. 95(C), pages 255-265.
    3. Smith, Cameron & Burrows, John & Scheier, Eric & Young, Amberli & Smith, Jessica & Young, Tiffany & Gheewala, Shabbir H., 2015. "Comparative Life Cycle Assessment of a Thai Island's diesel/PV/wind hybrid microgrid," Renewable Energy, Elsevier, vol. 80(C), pages 85-100.
    4. Thomas Huld & Magda Moner-Girona & Akos Kriston, 2017. "Geospatial Analysis of Photovoltaic Mini-Grid System Performance," Energies, MDPI, vol. 10(2), pages 1-21, February.
    5. Akinyele, Daniel O. & Rayudu, Ramesh K., 2016. "Techno-economic and life cycle environmental performance analyses of a solar photovoltaic microgrid system for developing countries," Energy, Elsevier, vol. 109(C), pages 160-179.
    6. Hanieh Seyedhashemi & Benoît Hingray & Christophe Lavaysse & Théo Chamarande, 2021. "The Impact of Low-Resource Periods on the Reliability of Wind Power Systems for Rural Electrification in Africa," Energies, MDPI, vol. 14(11), pages 1-18, May.
    7. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
    8. Candelise, Chiara & Winskel, Mark & Gross, Robert J.K., 2013. "The dynamics of solar PV costs and prices as a challenge for technology forecasting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 96-107.
    9. Nfah, E.M. & Ngundam, J.M. & Vandenbergh, M. & Schmid, J., 2008. "Simulation of off-grid generation options for remote villages in Cameroon," Renewable Energy, Elsevier, vol. 33(5), pages 1064-1072.
    10. Hansen, Ulrich Elmer & Pedersen, Mathilde Brix & Nygaard, Ivan, 2015. "Review of solar PV policies, interventions and diffusion in East Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 46(C), pages 236-248.
    11. Crossland, Andrew F. & Anuta, Oghenetejiri H. & Wade, Neal S., 2015. "A socio-technical approach to increasing the battery lifetime of off-grid photovoltaic systems applied to a case study in Rwanda," Renewable Energy, Elsevier, vol. 83(C), pages 30-40.
    12. Pedro Ciller & Fernando de Cuadra & Sara Lumbreras, 2019. "Optimizing Off-Grid Generation in Large-Scale Electrification-Planning Problems: A Direct-Search Approach," Energies, MDPI, vol. 12(24), pages 1-22, December.
    13. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    14. Louw, Kate & Conradie, Beatrice & Howells, Mark & Dekenah, Marcus, 2008. "Determinants of electricity demand for newly electrified low-income African households," Energy Policy, Elsevier, vol. 36(8), pages 2814-2820, August.
    15. Lee, Mitchell & Soto, Daniel & Modi, Vijay, 2014. "Cost versus reliability sizing strategy for isolated photovoltaic micro-grids in the developing world," Renewable Energy, Elsevier, vol. 69(C), pages 16-24.
    16. Alfaro, Jose F. & Miller, Shelie & Johnson, Jeremiah X. & Riolo, Rick R., 2017. "Improving rural electricity system planning: An agent-based model for stakeholder engagement and decision making," Energy Policy, Elsevier, vol. 101(C), pages 317-331.
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    Keywords

    PV microgrids; Microgrid sizing; Rural electrification; Levelized Cost of Electricity (LCOE); Africa;
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