Hybrid renewable energy systems for rural electrification in developing countries: A review on energy system models and spatial explicit modelling tools

Berino Francisco Silinto, Claudia Yamu, Christian Zuidema, André Faaij · 2024 · Renewable and Sustainable Energy Reviews

Summary. This review evaluates energy modeling tools for planning hybrid renewable energy systems in rural areas of developing countries. The authors assessed 27 models using systematic criteria and identified five with the strongest potential: HOMER and iHOGA for conventional modeling, and GeoSIM, IntiGIS, and OnSSET for geographic information system approaches. They found conventional models excel at technology modeling but lack network analysis, while GIS-based models handle spatial data better but have technology limitations. The study proposes a complementary framework combining these tools to overcome individual gaps.

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@article{silinto-2024-hybrid-renewable-energy-systems-rural,
  title   = {Hybrid renewable energy systems for rural electrification in developing countries: A review on energy system models and spatial explicit modelling tools},
  author  = {Berino Francisco Silinto and Claudia Yamu and Christian Zuidema and André Faaij},
  journal = {Renewable and Sustainable Energy Reviews},
  year    = {2024},
  doi     = {10.1016/j.rser.2024.114916},
  url     = {https://doi.org/10.1016/j.rser.2024.114916}
}

TY  - JOUR
TI  - Hybrid renewable energy systems for rural electrification in developing countries: A review on energy system models and spatial explicit modelling tools
AU  - Berino Francisco Silinto
AU  - Claudia Yamu
AU  - Christian Zuidema
AU  - André Faaij
JO  - Renewable and Sustainable Energy Reviews
PY  - 2024
DO  - 10.1016/j.rser.2024.114916
UR  - https://doi.org/10.1016/j.rser.2024.114916
ER  - 

Details

DOI

10.1016/j.rser.2024.114916

Countries

Netherlands

Regions

Europe

Categories

energy, regional-innovation-systems, general-innovation

Added

2026-08-01