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Optimal design and sensitivity analysis of distributed biomass‐based hybrid renewable energy systems for rural electrification: Case study of different photovoltaic/wind/battery‐integrated options in Babadam, northern Cameroon

Nasser Yimen, Louis Monkam, D. Tcheukam–Toko, Bashir Musa, Roger Abang, Lawrence F. Fombe, Serkan Abbasoğlu, Mustafa Dagbasi · 2021 · IET Renewable Power Generation

Summary. Researchers designed and optimized hybrid renewable energy systems combining solar, wind, and battery storage with biomass technologies for a remote community in northern Cameroon. Systems integrating biogas or syngas generators reduced electricity costs by 29-40% compared to solar-wind-battery alone, with the gasifier option achieving the lowest cost at $0.319/kWh. Sensitivity analysis confirms this cost advantage applies across sub-Saharan Africa, making biomass integration effective for rural electrification.

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Yimen, N., Monkam, L., Tcheukam–Toko, D., Musa, B., Abang, R., Fombe, L. F., Abbasoğlu, S., & Dagbasi, M.. (2021). Optimal design and sensitivity analysis of distributed biomass‐based hybrid renewable energy systems for rural electrification: Case study of different photovoltaic/wind/battery‐integrated options in Babadam, northern Cameroon. IET Renewable Power Generation. https://doi.org/10.1049/rpg2.12266

Details

DOI
10.1049/rpg2.12266
Countries
Cameroon
Categories
energy, agtech
Added
2026-04-28