Abstract
Simulation models have provided reliable simulation pathways for planning the Global and national energy transition. While simulation tools have gained prominence in providing transition insights to modelling the energy paradigm of developed countries, their developing country counterparts have yet to gain a clear transition pathway. This could be due to the cost of commercial tools, technical know-how, and the complex attributes and underdevelopment of developing countries’ energy systems transition paradigm. Open-source energy simulation modelling tools (OsEMT) could help developing countries gain reliable insight and understand their modern energy transition paradigm and mitigate modelling bottlenecks posed by proprietary modelling tools. The current study aims to review open-source energy models suitable for emerging economies and conduct a compatibility assessment of OsEMT for modelling the energy transitions of Developing Countries. To do this, a review of 11 OsEMT was carried out based on information and secondary data from the applications of the models and how they have captured and obtained modelling insights about 33 thematic attributes of developing countries’ energy systems. A compatibility and suitability assessments were conducted for the investigation through a weighted scoring matrix and ranking. Results showed that most open-source energy models have been effectively and successfully applied to model the energy transition paradigm of developed countries. However, a few open-source models have ranked higher and are suitable for developing countries. OSeMOSYS, OEMOF and PyPSA were among the most compatible and suitable OsEMT for gaining reliable insights and modelling developing countries’ energy transition pathways, although OSeMOSYS is ranked highest. Recommendations for further research and holistic support for open-source energy modelling tools were provided.
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1 Abdou Moumouni University, West African Science Service Centre on Climate Change and Adapted Land Uses (WASCAL), Doctoral Research Program in Climate Change and Energy (DRP-CCE), Niamey, Niger (GRID:grid.10733.36) (ISNI:0000 0001 1457 1638)
2 Higher Colleges of Technology, Electrical and Computer Engineering, Ras Al- Khaymah, United Arab Emirates (GRID:grid.444463.5) (ISNI:0000 0004 1796 4519)
3 Covenant University, Mechanical Engineering Department, The Energy and Environment Research Group (TEERG), Otta, Nigeria (GRID:grid.411932.c) (ISNI:0000 0004 1794 8359); University of Johannesburg, Faculty of Engineering & the Built Environment, Johannesburg, South Africa (GRID:grid.412988.e) (ISNI:0000 0001 0109 131X)
4 Abdou Moumouni University, West African Science Service Centre on Climate Change and Adapted Land Uses (WASCAL), Doctoral Research Program in Climate Change and Energy (DRP-CCE), Niamey, Niger (GRID:grid.10733.36) (ISNI:0000 0001 1457 1638); Ecole Normale Superieure, Abdou Moumouni University, Department of Physics, Niamey, Niger (GRID:grid.10733.36) (ISNI:0000 0001 1457 1638)
5 Reiner Lemoine Institut, Berlin, Germany (GRID:grid.506512.5)
6 University of Johannesburg, Mechanical and Industrial Engineering Technology Department, Johannesburg, South Africa (GRID:grid.412988.e) (ISNI:0000 0001 0109 131X)




