Keywords
Solar Power Pants, Multi-Criteria Decision Making, Neutrosophic Set, Energy Sustainability
Article Type
Original Article
Abstract
Solar power facilities must be efficient, reliable, and sustainable to meet energy demands. This study conducts a comprehensive analysis of criteria for evaluating solar power installations, focusing on factors impacting performance, economic viability, and environmental sustainability. Drawing from extensive literature, industry practices, and case studies, we identify key considerations such as technological feasibility, economic viability, environmental impact, legal frameworks, and social acceptance. To address the complexity and uncertainty associated with these criteria, we employ a multi-criteria decision-making approach. Specifically, the CRiteria Importance Through Inter-criteria Correlation (CRITIC) method is utilized to determine the weights of criteria, while the neutrosophic set theory is integrated to handle uncertain information during the evaluation process. The findings of this research offer valuable insights for academia, policymakers, and solar industry investors, facilitating informed decision-making in the pursuit of efficient and sustainable solar power solutions.
How to Cite
Abouhawwash, Mohamed and Jameel, Mohammed
(2023)
"Evaluation Factors of Solar Power Plants to Reduce Cost Under Neutrosophic Multi-Criteria Decision Making Model,"
Sustainable Machine Intelligence Journal: Vol. 2:
Iss.
1, Article 5.
DOI: https://doi.org/10.61185/SMIJ.2023.22101
Available at:
https://smij.sciencesforce.com/journal/vol2/iss1/5
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.