Off-grid communities in Rwanda face challenges accessing reliable electricity sources, leading to high costs and limited access to essential services. A meta-analysis approach was employed to synthesize existing data from various studies in Rwanda. Multilevel regression models were used to analyse system costs and benefits across different geographical regions and socio-economic groups. The analysis revealed that solar home systems (SHS) are the most cost-effective option, with an average cost-effectiveness ratio of 200 per household year for rural areas compared to grid-connected solutions, which were found to be more expensive at 350 per household year in urban settings. The multilevel regression models provided robust estimates of system costs and benefits, enabling policymakers to make informed decisions about off-grid energy investments in Rwanda. Policymakers should prioritise the adoption of solar home systems for rural areas due to their cost-effectiveness. Urban settings may benefit from a mix of grid-connected solutions and SHS depending on specific needs and infrastructure availability. off-grid communities, multilevel regression analysis, cost-effectiveness, Rwanda, renewable energy
Umuhoza et al. (Thu,) studied this question.
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