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Multi criteria analysis of alternative energy technologies based on their predicted impact on community sustainable livelihoods capitals: A case of Uganda

Nicholas Mukisa, Ramon Zamora and Tek Tjing Lie

Renewable Energy, 2022, vol. 182, issue C, 1103-1125

Abstract: A multi-criteria analysis of alternative energy technologies based on sustainable livelihoods framework is presented. A time bound development predicting model derived from a modified heterogenous mean field approach is proposed. The time bound development predicting model and time unbound development predicting model were validated as well as compared. A decision-makers’ weighting model for the VIKOR technique was also proposed and compared with the existent weighting models. For the case of Uganda, the results revealed that the development predicting models have statistical errors in the range of 0.2–13.7% when validated with the historical data for human development indices. The multi-criteria analysis revealed that rooftop solar PV is the best-choice technology to implement. By using the time bound development predicting model, development forecasts by the time unbound development predicting model for rooftop solar PV would be achieved between 8.8 and 16.7 years. The study predicts that Uganda would attain a development level of 0.756 in a period of 50 years from its current status of 0.401. The VIKOR technique gap distance recorded statistical errors in the range of 0.64–0.74% when the proposed decision-makers’ weighting model was used in comparison to both the interdependent weighting and entropy weighting models.

Keywords: Community capitals; Alternative energy technologies; Development predicting models; Weighting models; Multi-criteria analysis techniques (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:182:y:2022:i:c:p:1103-1125

DOI: 10.1016/j.renene.2021.10.103

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