Fuzzy Logic Modeling of Energy and Exergy Efficiencies in Drying Units Powered by Renewable Energy Sources

Abstract

Today, exergy analyses have become essential for addressing critical engineering and environmental issues, such as improving energy efficiency, sustainable resource utilization, and reducing environmental impacts. To enhance the potential of these studies in generating more effective and precise results, new methods, like fuzzy logic, have been successfully employed in the analysis and decision-making processes. This article examines the energy and exergy analyses and integrating these analyses with fuzzy logic. The Organic Rankine Cycle systems, denoted as ORC-1 and ORC-2, exhibit energy efficiencies of 10.66% and 10.92%, respectively, with ORC-2 displaying an exergy efficiency increase to 86.8%. The cooling system boasts a Coefficient of Performance (COP) of 3.64 and an exergy efficiency of 25.3%. With fuzzy logic method, the estimated exergy efficiency for ORC-1 reached 99.38%, and the energy efficiency was estimated at 97.33%. For ORC-2, the exergy efficiency was estimated at 98.66%, and the energy efficiency was estimated at 99.42%. The refrigerant quantity for the cooling system was estimated at 97.7%, and the COP was estimated at 98.03%.