IET Renewable Power Generation (Oct 2022)

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,
  • Denis Tcheukam‐Toko,
  • Bashir Musa,
  • Roger Abang,
  • Lawrence Fon Fombe,
  • Serkan Abbasoglu,
  • Mustafa Dagbasi

DOI
https://doi.org/10.1049/rpg2.12266
Journal volume & issue
Vol. 16, no. 14
pp. 2939 – 2956

Abstract

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Abstract It is commonly recommended to incorporate diesel generators into distributed hybrid renewable energy systems (HRESs) to lower the system's total cost and make the generated electricity affordable. Due to the environmental and economic issues associated with fossil fuel use, biomass power technologies (BPT) appear to be an attractive alternative to diesel generators. The HOMER software was used to model, simulate, and optimise two photovoltaic/wind/battery systems integrated with different BPT (anaerobic digestion or gasification) to satisfy the electrical needs of Babadam, a remote community in northern Cameroon. The results indicated that the anaerobic digester integrated system's overall optimal architecture included a 98.1 kW photovoltaic array, a 30 kW biogas generator, and 200 batteries, with a cost of energy (COE) of $0.347/kWh. On the other hand, the gasifier integrated option is made up of an 81.8 kW photovoltaic array, a 15 kW syngas generator, and 200 batteries and has a COE of $0.319/kW. Additionally, compared to the PV/Wind/Battery system, integrating the biogas (resp. syngas) generator showed a potential COE decrease of 29% (resp. 40%). The sensitivity analysis highlighted the validity of this COE reduction potential everywhere in sub‐Saharan Africa, leading to the conclusion that integrating BPT into HRESs can effectively contribute to Sustainable Development Goal 7.