Sustainable Energy Solutions for South Libya: A Fuzzy Logic Perspective

Abstract

The basic principles of this study about solar energy power plants in South Libya using fuzzy logic as a decision-making approach. Moreover, Libya, an oil-exporting nation, faces energy challenges due to its dependence on non-renewable resources and the demand for electricity in densely populated southern regions. Also, the research employs fuzzy logic to analyze solar energy potential by considering critical parameters such as solar radiation, temperature, and available land area. While using the Simulations conducted in (MATLAB) validate the effectiveness of the fuzzy logic model in optimizing energy production. Results indicate that solar power can significantly meet electricity demands, with fuzzy logic proving advantageous for overcoming uncertainties and environmental constraints. In addition, the work provides a foundation for policy recommendations and further research in renewable energy systems.