International Journal of Advances in Applied Computational Intelligence
Journal DOI
2833-5600ISSN (Online)
Volume 2 , Issue 2 , PP: 08-15, 2022 | Cite this article as | XML | Html | PDF | Full Length Article
Abedallah Z. Abualkishik 1 * , Rasha Almajed 2
Doi: https://doi.org/10.54216/IJAACI.020201
The depletion of fossil fuel reserves, rising fuel costs, and heightened awareness of ecological problems are just a few of the recent developments that have contributed to a greater reliance on renewable energy alternatives. There is a growing need to evaluate appropriate locations in order to make the most efficient use of renewable energy alternatives. This research looks at the parameters that determine how well-spaced solar farms can be in Egypt. So, the multi-criteria decision-making (MCDM) methodology is used to deal with these criteria. The MCDM is a hybrid with the neutrosophic set to deal with vague information. This paper presented the neutrosophic AHP method to select the best location for solar power (SP). The AHP method is selected to compute the weights of factors in an easy and efficient way. This paper collected the criteria from previous work, then evaluated by the experts. The case study in Egypt is presented to select the best location for SP. The sensitivity analysis is presented to show the rank of locations when changing the weights of factors.
Neutrosophic Set , Multi-Criteria Decision Making , Solar Power , Site Selection
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