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Selection of a Hybrid Renewable Energy Systems for a Low-Income Household

Author

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  • Olubayo M. Babatunde

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Josiah L. Munda

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa)

  • Yskandar Hamam

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0001, South Africa
    ESIEE-Paris, Cité Descartes, BP 99, 93162 Noisy-le-Grand, France)

Abstract

The use of a single criterion in the selection of the most suitable hybrid renewable energy system (HRES) has been reported to be inadequate in terms of sustainability. In order to fill this gap, this study presents a multi-criteria approach for the selection of HRES for a typical low-income household. The analysis is based on two energy demand scenarios viz: consumer demand based on energy efficient equipment (EET) and consumer energy demand without energy efficiency. The optimization of the HRES is performed using hybrid optimization of multiple energy renewables (HOMER) while the multi-criteria analysis is carried out using Criteria Importance Through Intercriteria Correlation (CRITIC) and the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS). Results show that the optimal HRES alternative returned based on both energy demand scenarios is a PV/GEN/BAT system. The analysis further shows that a reduction of 44.6% in energy demand through EET leads to: 51.38% decrease in total net present cost, 11.90% decrease in cost of energy, 96.61% decrease in CO 2 emission and 193.94% increase in renewable fraction. Furthermore, the use of multi-criteria approach for HRES selection has an influence in the selection and ranking of the most suitable HRES alternatives. Overall, the application of EETs is environmentally and economically beneficial while the application of MCDM can help decision makers make a comprehensively informed decision on the selection of the most suitable HRES.

Suggested Citation

  • Olubayo M. Babatunde & Josiah L. Munda & Yskandar Hamam, 2019. "Selection of a Hybrid Renewable Energy Systems for a Low-Income Household," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4282-:d:255757
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    References listed on IDEAS

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    5. Alao, Moshood Akanni & Popoola, Olawale M. & Ayodele, Temitope Rapheal, 2021. "Selection of waste-to-energy technology for distributed generation using IDOCRIW-Weighted TOPSIS method: A case study of the City of Johannesburg, South Africa," Renewable Energy, Elsevier, vol. 178(C), pages 162-183.
    6. Oluwaseye Samson Adedoja & Damilola Elizabeth Babatunde & Olubayo Moses Babatunde, 2020. "Hybrid Power System for a Fuel Station Considering Temperature Coefficient," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 476-482.
    7. Ali, Tausif & Aghaloo, Kamaleddin & Chiu, Yie-Ru & Ahmad, Munir, 2022. "Lessons learned from the COVID-19 pandemic in planning the future energy systems of developing countries using an integrated MCDM approach in the off-grid areas of Bangladesh," Renewable Energy, Elsevier, vol. 189(C), pages 25-38.
    8. Mariam Gómez Sánchez & Yunesky Masip Macia & Alejandro Fernández Gil & Carlos Castro & Suleivys M. Nuñez González & Jacqueline Pedrera Yanes, 2020. "A Mathematical Model for the Optimization of Renewable Energy Systems," Mathematics, MDPI, vol. 9(1), pages 1-16, December.
    9. Indre Siksnelyte-Butkiene & Edmundas Kazimieras Zavadskas & Dalia Streimikiene, 2020. "Multi-Criteria Decision-Making (MCDM) for the Assessment of Renewable Energy Technologies in a Household: A Review," Energies, MDPI, vol. 13(5), pages 1-22, March.
    10. Mihail Busu, 2020. "Analyzing the Impact of the Renewable Energy Sources on Economic Growth at the EU Level Using an ARDL Model," Mathematics, MDPI, vol. 8(8), pages 1-18, August.

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