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Addressing context-specific energy modelling risks and dynamics in low- and middle-income countries

Abstract

Energy modelling tools guide energy transition planning, yet critical questions persist regarding their application in low- and middle-income countries (LMICs). These countries face the complex challenge of meeting growing energy needs in ways that are affordable, sustainable and resilient, while also advancing broader, long-term development goals in uncertain financial, geopolitical and climatic contexts. Here we highlight that innovation in modelling practice is required to adequately analyse current planning challenges and avoid the risks of misaligned policy advice. Framed through three features of modelling practice—choice of paradigm, modelling process and pluralism of expertise—we identify priority areas for methodological advancement. This means innovation across energy planning related to context-specificity, system dynamics and uncertainties, as well as integration with connected systems. To mainstream innovation, we propose a focus on ensuring data and modelling availability, prioritizing support for modelling in low-planning-capacity contexts, and expanding networks of practice that support LMIC modelling.

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Fig. 1: Country-level energy modelling risks in LMICs.

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References

  1. Fuso Nerini, F. et al. Mapping synergies and trade-offs between energy and the Sustainable Development Goals. Nat. Energy 3, 10–15 (2018).

    Article  Google Scholar 

  2. Plazas-Niño, F., Tan, N., Howells, M., Foster, V. & Quirós-Tortós, J. Uncovering the applications, developments and future research directions of the open-source energy modelling system (OSeMOSYS): a systematic literature review. Energy Sustain. Dev. 85, 101629 (2025).

    Article  Google Scholar 

  3. Waisman, H. et al. A pathway design framework for national low greenhouse gas emission development strategies. Nat. Clim. Change 9, 261–268 (2019).

    Article  Google Scholar 

  4. Tesfamichael, M. & Fuchs, J. Navigating complexity: integrating political realities into energy system modelling for effective policy in sub-Saharan Africa. Prog. Energy 6, 043001 (2024).

    Article  Google Scholar 

  5. Mulugetta, Y. et al. Africa needs context-relevant evidence to shape its clean energy future. Nat. Energy 7, 1015–1022 (2022).

    Article  Google Scholar 

  6. Fuchs, J. L., Tesfamichael, M., Clube, R. & Tomei, J. How does energy modelling influence policymaking? Insights from low- and middle-income countries. Renew. Sustain. Energy Rev. 203, 114726 (2024).

    Article  Google Scholar 

  7. Süsser, D. et al. Why energy models should integrate social and environmental factors: assessing user needs, omission impacts and real-word accuracy in the European Union. Energy Res. Soc. Sci. 92, 102775 (2022).

    Article  Google Scholar 

  8. Dioha, M. O., Montgomery, M., Almada, R., Dato, P. & Abrahams, L. Beyond dollars and cents: why socio-political factors matter in energy system modeling. Environ. Res. Lett. 18, 121002 (2023).

    Article  Google Scholar 

  9. Bergman, M. et al. Guidelines for inclusive and equitable energy and transport modeling. iScience 28, 113218 (2025).

    Article  Google Scholar 

  10. Trotter, P. A. Rural electrification, electrification inequality and democratic institutions in sub-Saharan Africa. Energy Sustain. Dev. 34, 111–129 (2016).

    Article  Google Scholar 

  11. Mengisteab, K. Traditional institutions of governance in Africa. Oxford Research Encyclopedia of Politics https://doi.org/10.1093/acrefore/9780190228637.013.1347 (2019).

  12. Dioha, M. O. & Mutiso, R. Generating meaningful energy systems models for Africa. Issues Sci. Technol. 39, 54–57 (2023).

    Article  Google Scholar 

  13. Blimpo, M. P., Dato, P., Mukhaya, B. & Odarno, L. Climate change and economic development in Africa: a systematic review of energy transition modeling research. Energy Policy 187, 114044 (2024).

    Article  Google Scholar 

  14. Lonergan, K. E. et al. Improving the representation of cost of capital in energy system models. Joule 7, 469–483 (2023).

    Article  Google Scholar 

  15. Stapczynski, S. & Mangi, F. How energy traders left a country in the cold. Bloomberg (14 Deember 2023).

  16. Mercure, J.-F. et al. Macroeconomic impact of stranded fossil fuel assets. Nat. Clim. Change 8, 588–593 (2018).

    Article  Google Scholar 

  17. Hanna, R. & Gross, R. How do energy systems model and scenario studies explicitly represent socio-economic, political and technological disruption and discontinuity? Implications for policy and practitioners. Energy Policy 149, 111984 (2021).

    Article  Google Scholar 

  18. Johansson, D. The energy crisis in Zambia is undermining the Lobito Corridor’s potential — and DFC’s investments. Energy for Growth Hub https://energyforgrowth.org/article/the-energy-crisis-in-zambia-is-undermining-the-lobito-corridors-potential-and-dfcs-investments/ (2025).

  19. Yalew, S. G. et al. Impacts of climate change on energy systems in global and regional scenarios. Nat. Energy 5, 794–802 (2020).

    Article  Google Scholar 

  20. Fuso Nerini, F., Adshead, D., Thacker, S., Pant, R. & Hall, J. W. Breaking the cycle of underinvestment in climate-resilient energy infrastructure. Nat. Energy https://doi.org/10.1038/s41560-025-01868-9 (2025).

    Article  Google Scholar 

  21. Do, T. N. et al. Vietnam’s solar and wind power success: policy implications for the other ASEAN countries. Energy Sustain. Dev. 65, 1–11 (2021).

    Article  Google Scholar 

  22. Jones, D. The first evidence of a take-off in solar in Africa. Ember https://ember-energy.org/app/uploads/2025/08/Report-Ember-The-first-evidence-of-a-take-off-in-solar-in-Africa.pdf (2025).

  23. Mutiso, R. African energy transitions should be driven from the ground up. Science 382, eadl3462 (2023).

    Article  Google Scholar 

  24. Trotter, P. A., Cooper, N. J. & Wilson, P. R. A multi-criteria, long-term energy planning optimisation model with integrated on-grid and off-grid electrification—the case of Uganda. Appl. Energy 243, 288–312 (2019).

    Article  Google Scholar 

  25. Pasqualino, R. et al. Modelling induced innovation for the low-carbon energy transition: a menu of options. Environ. Res. Lett. 19, 073004 (2024).

    Article  Google Scholar 

  26. Egli, F. et al. Mapping the cost competitiveness of African green hydrogen imports to Europe. Nat. Energy 10, 750–761 (2025).

    Article  Google Scholar 

  27. Onsongo, E., Eludoyin, E. O., Tesfamichael, M. & Tomei, J. The political economy of least cost power planning in Kenya. Energy Policy 207, 114819 (2025).

    Article  Google Scholar 

  28. Hirmer, S. et al. Inconsistent measurement calls into question progress on electrification in sub-Saharan Africa. Nat. Energy 9, 1046–1050 (2024).

    Google Scholar 

  29. Debnath, K. B. & Mourshed, M. Challenges and gaps for energy planning models in the developing-world context. Nat. Energy 3, 172–184 (2018).

    Article  Google Scholar 

  30. Dramani, J. B. et al. Estimating and forecasting suppressed electricity demand in Ghana under climate change, the informal economy and sector inefficiencies. Heliyon 10, e36001 (2024).

    Article  Google Scholar 

  31. Khavari, B., Ramirez, C., Jeuland, M. & Fuso Nerini, F. A geospatial approach to understanding clean cooking challenges in sub-Saharan Africa. Nat. Sustain. 6, 447–457 (2023).

    Article  Google Scholar 

  32. Edomah, N., Bazilian, M. & Sovacool, B. K. Sociotechnical typologies for national energy transitions. Environ. Res. Lett. 15, 111001 (2020).

    Article  Google Scholar 

  33. Dioha, M., Edomah, N. & Caldeira, K. Fixing the disconnect around energy access. Issues Sci. Technol. 38, 51–56 (2022).

    Google Scholar 

  34. Maboshe, M., Leonard, A., Bickersteth, S., McCulloch, N. & Hirmer, S. A. The status of power sector decentralisation in Zambia. Climate Compatible Growth Programme https://ora.ox.ac.uk/objects/uuid:4e414635-3a56-409d-87ba-64a43e442248 (2023).

  35. Smit, S., Musango, J. K. & Brent, A. C. Understanding electricity legitimacy dynamics in an urban informal settlement in South Africa: a Community Based System Dynamics approach. Energy Sustain. Dev. 49, 39–52 (2019).

    Article  Google Scholar 

  36. Mirindi, D., Sušnik, J., Masia, S. & Jewitt, G. A system dynamics modelling assessment of water-energy-food resource demand futures at the city scale: Goma, Democratic Republic of Congo. World Dev. Sustain. 5, 100159 (2024).

    Article  Google Scholar 

  37. Agutu, C., Egli, F., Williams, N. J., Schmidt, T. S. & Steffen, B. Accounting for finance in electrification models for sub-Saharan Africa. Nat. Energy 7, 631–641 (2022).

    Article  Google Scholar 

  38. Dagnachew, A. G., Choi, S.-M. & Falchetta, G. Energy planning in sub-Saharan African countries needs to explicitly consider productive uses of electricity. Sci. Rep. 13, 13007 (2023).

    Article  Google Scholar 

  39. Trotter, P. A., Maconachie, R. & McManus, M. C. Solar energy’s potential to mitigate political risks: the case of an optimised Africa-wide network. Energy Policy 117, 108–126 (2018).

    Article  Google Scholar 

  40. Africa’s electricity access planners turn to geospatial mapping. International Energy Agency https://www.iea.org/commentaries/africa-s-electricity-access-planners-turn-to-geospatial-mapping (2024).

  41. González-Garcia, A. et al. A rising role for decentralized solar minigrids in integrated rural electrification planning? Large-scale, least-cost, and customer-wise design of grid and off-grid supply systems in Uganda. Energies 15, 4517 (2022).

    Article  Google Scholar 

  42. Dato, P. et al. Computation of weighted average cost of capital (WACC) in the power sector for African countries and the implications for country-specific electricity technology cost. Appl. Energy 397, 126333 (2025).

    Article  Google Scholar 

  43. Kalra, N. et al. The benefits and costs of reaching net zero emissions in Latin America and the Caribbean. Inter-American Development Bank https://publications.iadb.org/en/benefits-and-costs-reaching-net-zero-emissions-latin-america-and-caribbean (2023).

  44. Gyanwali, K. et al. Integrating glacio-hydrological and power grid models to assess the climate-resiliency of high mountain hydropower in Nepal. Renew. Sustain. Energy Rev. 183, 113433 (2023).

    Article  Google Scholar 

  45. Ramos, E. P. et al. The climate, land, energy and water systems (CLEWs) framework: a retrospective of activities and advances to 2019. Environ. Res. Lett. 16, 033003 (2021).

    Google Scholar 

  46. Sridharan, V. et al. Resilience of the Eastern African electricity sector to climate driven changes in hydropower generation. Nat. Commun. 10, 302 (2019).

    Article  Google Scholar 

  47. Manley, D., Furnaro, A. & Heller, P. Riskier bets, smaller pockets: how national oil companies are spending public money amid the energy transition. Natural Resource Governance Institute https://resourcegovernance.org/sites/default/files/2023-11/Riskier-Bets-Smaller-Pockets-How-National-Oil-Companies-Are-Spending-Public-Money-Amid-the-Energy-Transition.pdf (2023).

  48. Damodaran, A. Country risk: determinants, measures and implications—the 2024 edition. New York University https://doi.org/10.2139/ssrn.4896539 (2024).

  49. ESMAP. Tracking SDG7: The Energy Progress Report (ESMAP, 2025).

  50. GDP per capita, PPP. World Bank https://data.worldbank.org/indicator/NY.GDP.PCAP.PP.CD (accessed 17 December 2025).

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Acknowledgements

The authors from UCL, Imperial College, Oxford University and Loughborough University acknowledge funding from the Climate Compatible Growth programme of the UK government. The views expressed here do not necessarily reflect the UK government’s official policies.

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S.P., M.D., P.T. and C.B. contributed to the conceptualization of the manuscript, and co-led the writing of the manuscript. P.T. and L.H. led the development of Fig. 1. M.A., H.B., M.B., G.B., D.B., J.B., J.C., L. Hatton, A. Hughes, L. Hofbauer, A. Hawkes, K.I., F.L., E.L.L.R., B.L., A.L., P.L., L.D.M., B.M., Y.M., D.A.Q., J.Q.-T., L.S.C., B.T., J.T., B.V., S.S.V. and H.W. contributed to writing and reviewing the manuscript.

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Correspondence to S. Pye.

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Nature Energy thanks Kumar Biswajit Debnath, Diana Neves and Bas van Ruijven for their contribution to the peer review of this work.

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Daly, M., Pye, S., Trotter, P. et al. Addressing context-specific energy modelling risks and dynamics in low- and middle-income countries. Nat Energy (2026). https://doi.org/10.1038/s41560-025-01962-y

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