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A Study on Integrating SMRs into Uganda’s Future Energy System

Author

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  • Niwagira Daniel

    (Department of NPP Engineering, KEPCO International Nuclear Graduate School, 658-91 Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan 45014, Korea)

  • Juyoul Kim

    (Department of NPP Engineering, KEPCO International Nuclear Graduate School, 658-91 Haemaji-ro, Seosaeng-myeon, Ulju-gun, Ulsan 45014, Korea)

Abstract

Uganda is looking forward to diversifying its energy system to sustainably meet the present and future energy needs. To achieve this, the country is embarking on a nuclear power program to construct large nuclear reactors, although this would increase Uganda’s electricity generation capacity, huge investments in construction and grid expansion required presents a big challenge considering the small size of Uganda’s economy and grid. Luckily, emerging new nuclear technologies, such as small modular reactors (SMRs) can address these challenges due their enhanced features that are compatible with Uganda’s energy system. SMRs having smaller capacities means that they would reduce the total investment costs in construction and also fit Uganda’s small electric grid. In this study, the methodology followed two approaches to examine the best strategies to integrate SMRs into Uganda’s future energy system, that is, the model for energy supply strategy alternatives and their general environmental impacts (MESSAGE) code and levelized cost of energy (LCOE) economic competitiveness analysis parameter. The results of analysis reveal that SMRs can play a key role in the future energy mix by contributing 13% to the total electricity generation. Additionally, the LCOE value of the SMRs was 78.01 $/MWh, which is competitive with large nuclear reactors with an LCOE value of 79.77 $/MWh and significantly lower than the LCOE of biomass, peat, and thermal energies. In conclusion, this study justified Uganda’s need to invest in SMRs considering the country’s energy security needs, future energy mix diversification goals, and national financial environment.

Suggested Citation

  • Niwagira Daniel & Juyoul Kim, 2022. "A Study on Integrating SMRs into Uganda’s Future Energy System," Sustainability, MDPI, vol. 14(16), pages 1-21, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10033-:d:887362
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    References listed on IDEAS

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    1. Allan, Grant & Gilmartin, Michelle & McGregor, Peter & Swales, Kim, 2011. "Levelised costs of Wave and Tidal energy in the UK: Cost competitiveness and the importance of "banded" Renewables Obligation Certificates," Energy Policy, Elsevier, vol. 39(1), pages 23-39, January.
    2. Larsson, Simon & Fantazzini, Dean & Davidsson, Simon & Kullander, Sven & Höök, Mikael, 2014. "Reviewing electricity production cost assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 170-183.
    3. Aquila, Giancarlo & Pamplona, Edson de Oliveira & Queiroz, Anderson Rodrigo de & Rotela Junior, Paulo & Fonseca, Marcelo Nunes, 2017. "An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1090-1098.
    4. Aldersey-Williams, J. & Rubert, T., 2019. "Levelised cost of energy – A theoretical justification and critical assessment," Energy Policy, Elsevier, vol. 124(C), pages 169-179.
    5. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    6. Michaelson, D. & Jiang, J., 2021. "Review of integration of small modular reactors in renewable energy microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    7. Juyoul Kim & Ahmed Abdel-Hameed & Soja Reuben Joseph & Hilali Hussein Ramadhan & Mercy Nandutu & Joung-Hyuk Hyun, 2021. "Modeling Long-Term Electricity Generation Planning to Reduce Carbon Dioxide Emissions in Nigeria," Energies, MDPI, vol. 14(19), pages 1-17, October.
    8. Budnitz, Robert J. & Rogner, H-Holger & Shihab-Eldin, Adnan, 2018. "Expansion of nuclear power technology to new countries – SMRs, safety culture issues, and the need for an improved international safety regime," Energy Policy, Elsevier, vol. 119(C), pages 535-544.
    9. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    10. Gross, Robert & Blyth, William & Heptonstall, Philip, 2010. "Risks, revenues and investment in electricity generation: Why policy needs to look beyond costs," Energy Economics, Elsevier, vol. 32(4), pages 796-804, July.
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