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• W4387107274 abstract "The vast majority of rural Africans lack access to clean, reliable, and sustainable electrical energy. This has deprived rural inhabitants of the opportunity to receive advanced healthcare delivery and modern education. In this study, an off-grid hybrid system composed of solar panels, wind turbines, battery banks and diesel-powered generators has been designed to fulfil the electrical loads requirements of a household, a multi-media and healthcare centres situated at Kaele, Cameroon. Initially, the wind and solar potential of Kaele were investigated and four meta-heuristics algorithms, namely, the colliding bodies’ optimization, charged system search, teaching-learning-based optimization (TLBO) and the water evaporation optimization algorithms are applied to the hybrid system and the results are compared with regards to the system net present cost (NPC). Thereafter, three off-grid hybrid systems: PV/Wind/Battery/Diesel, PV/Battery/Diesel, and Wind/Battery/Diesel were compared based on a techno-economic and environmental analysis. The results showed that, the mean yearly wind speed and solar radiation of Kaele are 6.7 m/s and 7.20 kWh/m2/day, respectively. Comparing the search power of the aforementioned algorithms on the sizing problem, it has been found that the TLBO algorithm produces better results than the other algorithms. The results also showed that, the PV/Wind/Battery/Diesel configuration is the cost-effective option for supplying the household, multi-media and healthcare centres. The obtained optimal combination and the NPC of the PV/Wind/Battery/Diesel system are as follows: For household, the most appropriate configuration combines 9 solar panels, 2 wind turbines, 33 battery banks, 1 diesel generator and the obtained NPC corresponds to 26111.2$; for the multi-media centre, 52 solar panels, 2 wind turbines, 96 battery banks and 1 diesel generator which resulted to a NPC of 55511.2$; and for the healthcare centre, the ideal configuration consists of 13 solar panels, 1 wind turbine, 13 battery banks and 1 diesel generator with a NPC of 19008.7$. The cost of energy of the optimal system was found to be 0.2419$/kWh, 0.2195$/kWh and 0.2158$/kWh for household, multi-media and healthcare establishments, respectively. The results also revealed that for household and healthcare centre the obtained break-even grid extension distance was 0.443 km and 1.23 km, respectively for the PV/Wind/Battery/Diesel system. Since this separation is smaller than the nearest grid extension distance of 5 km, it is concluded that the proposed hybrid energy system is suitable for powering the household, multi-media and healthcare centres in Kaele, Cameroon. Finally, a sensitivity analysis of each relevant component cost, resources availability and microeconomic variables of the PV/Wind/Battery/Diesel system is carried out to acquire a more suitable configuration." @default.
• W4387107274 created "2023-09-28" @default.
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• W4387107274 date "2023-09-01" @default.
• W4387107274 modified "2023-09-28" @default.
• W4387107274 title "An effective sizing and sensitivity analysis of a hybrid renewable energy system for household, multi-media and rural healthcare centres power supply: A case study of Kaele, Cameroon" @default.
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• W4387107274 cites W1984130668 @default.
• W4387107274 cites W1984245615 @default.
• W4387107274 cites W1985702950 @default.
• W4387107274 cites W1999284878 @default.
• W4387107274 cites W2006694777 @default.
• W4387107274 cites W2021375456 @default.
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• W4387107274 cites W2045204264 @default.
• W4387107274 cites W2048257501 @default.
• W4387107274 cites W2054659065 @default.
• W4387107274 cites W2055614753 @default.
• W4387107274 cites W2076298539 @default.
• W4387107274 cites W2093698958 @default.
• W4387107274 cites W2148544577 @default.
• W4387107274 cites W2236504705 @default.
• W4387107274 cites W2465078833 @default.
• W4387107274 cites W2537315456 @default.
• W4387107274 cites W2576608397 @default.
• W4387107274 cites W2601075881 @default.
• W4387107274 cites W2604519671 @default.
• W4387107274 cites W2606160205 @default.
• W4387107274 cites W2607629785 @default.
• W4387107274 cites W2738823964 @default.
• W4387107274 cites W2788023261 @default.
• W4387107274 cites W2790875092 @default.
• W4387107274 cites W2895681562 @default.
• W4387107274 cites W2906725584 @default.
• W4387107274 cites W2913748632 @default.
• W4387107274 cites W2940731362 @default.
• W4387107274 cites W2943476556 @default.
• W4387107274 cites W2981925369 @default.
• W4387107274 cites W2995738773 @default.
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• W4387107274 cites W3007698382 @default.
• W4387107274 cites W3015725603 @default.
• W4387107274 cites W3046927265 @default.
• W4387107274 cites W3049710172 @default.
• W4387107274 cites W3082977883 @default.
• W4387107274 cites W3088214307 @default.
• W4387107274 cites W3088984909 @default.
• W4387107274 cites W3092170089 @default.
• W4387107274 cites W3093455441 @default.
• W4387107274 cites W3097843859 @default.
• W4387107274 cites W3113858499 @default.
• W4387107274 cites W3120888228 @default.
• W4387107274 cites W3121628031 @default.
• W4387107274 cites W3126127815 @default.
• W4387107274 cites W3132223070 @default.
• W4387107274 cites W3134871570 @default.
• W4387107274 cites W3156697128 @default.
• W4387107274 cites W3163200079 @default.
• W4387107274 cites W3186065431 @default.
• W4387107274 cites W3195848148 @default.
• W4387107274 cites W3200222795 @default.
• W4387107274 cites W3202243837 @default.
• W4387107274 cites W3202852219 @default.
• W4387107274 cites W3213516335 @default.
• W4387107274 cites W4214926521 @default.
• W4387107274 cites W4220877246 @default.
• W4387107274 cites W4224033323 @default.
• W4387107274 cites W4229042902 @default.
• W4387107274 cites W4285707525 @default.
• W4387107274 cites W4289515760 @default.
• W4387107274 cites W4295037491 @default.
• W4387107274 cites W4308742599 @default.
• W4387107274 cites W4310732223 @default.
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• W4387107274 doi "https://doi.org/10.1016/j.ijhydene.2023.09.093" @default.
• W4387107274 hasPublicationYear "2023" @default.
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