Composite Multi-Criteria Decision Analysis for Optimization of Hybrid Renewable Energy Systems for Geopolitical Zones in Nigeria

Michael O. Ukoba, Ogheneruona E. Diemuodeke, Mohammed Alghassab, Henry I. Njoku, Muhammad Imran and Zafar A. Khan
Additional contact information
Michael O. Ukoba: Energy and Thermofluid Research Group, Department of Mechanical Engineering, Faculty of Engineering, University of Port Harcourt, Port Harcourt PMB 5323, Rivers State, Nigeria
Ogheneruona E. Diemuodeke: Energy and Thermofluid Research Group, Department of Mechanical Engineering, Faculty of Engineering, University of Port Harcourt, Port Harcourt PMB 5323, Rivers State, Nigeria
Mohammed Alghassab: Department of Electrical and Computer Engineering, Shaqra University, Riyadh B11911, Saudi Arabia
Henry I. Njoku: Department of Mechanical Engineering, School of Engineering and Technology, Federal University of Technology Owerri, Owerri PMB 1526, Imo State, Nigeria
Muhammad Imran: Mechanical Engineering and Design, School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
Zafar A. Khan: Department of Electrical Engineering, Mirpur University of Science and Technology, Mirpur 10250, Azad Kashmir, Pakistan

Sustainability, 2020, vol. 12, issue 14, 1-27

Abstract: This paper presents eight hybrid renewable energy (RE) systems that are derived from solar, wind and biomass, with energy storage, to meet the energy demands of an average household in the six geopolitical zones of Nigeria. The resource assessments show that the solar insolation, wind speed (at 30 m hub height) and biomass in the country range, respectively, from 4.38–6.00 kWh/m 2 /day, 3.74 to 11.04 m/s and 5.709–15.80 kg/household/day. The HOMER software was used to obtain optimal configurations of the eight hybrid energy systems along the six geopolitical zones’ RE resources. The eight optimal systems were further subjected to a multi-criteria decision making (MCDM) analysis, which considers technical, economic, environmental and socio-cultural criteria. The TOPSIS-AHP composite procedure was adopted for the MCDM analysis in order to have more realistic criteria weighting factors. In all the eight techno-economic optimal system configurations considered, the biomass generator-solar PV-battery energy system (GPBES) was the best system for all the geopolitical zones. The best system has the potential of capturing carbon from the atmosphere, an attribute that is desirous for climate change mitigation. The cost of energy (COE) was seen to be within the range of 0.151–0.156 US$/kWh, which is competitive with the existing electricity cost from the national grid, average 0.131 US$/kWh. It is shown that the Federal Government of Nigeria favorable energy policy towards the adoption of biomass-to-electricity systems would make the proposed system very affordable to the rural households.

Keywords: renewable energy; energy demand; optimal hybrid system; multi-criteria decision making (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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