''A Novel Hybrid Experimental
Abstract
In the hybrid experimental study conducted, the thermal and exergy performance of a salinity gradient solar pond (SGSP) was tested under real outdoor conditions and later neural network (ANN) method was developed to predict temperatures at various depths of the pond. The SCG algorithm was used in the optimised ANN model. The highest thermal efficiency was found to be around 20.68%, and the exergy efficiency was close to 0.81%. The ANN model performed well, reaching an average R2 value above 0.998. These outcomes show that the proposed model can successfully forecast pond temperatures with high reliability.
Fields of Study & Subjects
Solar Thermal and Photovoltaic Systems
Solar-Powered Water Purification Methods
Thermodynamic and Exergetic Analyses of Power and Cooling Systems
Publication details
- Journal / source
- International Journal of Exergy
- Volume
- 50
- Issue
- 1
- Pages
- 38–56
- Publication date
- 1 January 2026
- Language
- EN