A multi-objective decision framework for the selection of feasible and viable hybrid renewable energy systems in energy-constrain communities.

Johnson, Zwalnan Selfa; Abakar, Yousif Abdalla; Shanmugam, S. Anandan; Chan, Andy

Abstract

Choosing the appropriate system configuration that meets the multi-objectives of profit-making and environmental protection is always a critical decision for both entrepreneurs and the government. The choice is complicated primarily if several possible alternatives exist. In this paper, a decision framework was developed to select - from four configurations - the configuration that best fits decision-makers' multi-objectives of profit-making and environmental protection. It was found that, overall, the grid-connected PV-battery hybrid configuration, for now, offers the best fit to the desired profitability and CO2 mitigation effort with a similarity index of 96.10%. Whereas, for now, the standalone PV-batt configuration is only about 29.93% close to this desired objective. It is therefore inferred that the complete exclusion of conventional energy from the concept of sustainable energy leads to an unequivocal increase in installation costs, preventing investments in green technology, particularly in developing countries.

Citation

JOHNSON, Z.S., ABAKAR, Y.A., SHANMUGAM, S.A. and CHAN, A. 2023. A multi-objective decision framework for the selection of feasible and viable hybrid renewable energy systems in energy-constrain communities. International journal of renewable energy technology [online], 14(1), pages 92-113. Available from: https://doi.org/10.1504/IJRET.2023.127569

• Journal Article Type: Article
• Acceptance Date: Nov 1, 2022
• Online Publication Date: Nov 1, 2022
• Publication Date: Mar 31, 2023
• Deposit Date: Jun 30, 2023
• Publicly Available Date: Nov 2, 2023
• Journal: International journal of renewable energy technology
• Print ISSN: 1757-3971
• Electronic ISSN: 1757-398X
• Publisher: Inderscience
• Peer Reviewed: Peer Reviewed
• Volume: 14
• Issue: 1
• Pages: 92-113
• DOI: https://doi.org/10.1504/IJRET.2023.127569
• Keywords: Multi-criteria decision making; Energy technology; Energy systems; Renewable energy; Sustainability
• Public URL: https://rgu-repository.worktribe.com/output/1998149