Parameter Optimization of Particle Swarm Optimization Algorithm on Solar Distillation System
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DOI:
https://doi.org/10.5281/zenodo.14957416Keywords:
Grey Wolf Optimization, Solar Distillation System, Parameter OptimizationAbstract
As the global population continues to grow, so does the demand for potable water. However,
the ever-decreasing reserves of fresh water are under serious threat. Freshwater reserves constitute only
2.5% of the world's total water supply. According to various research reports, by 2050, 75% of the global
population will struggle to access potable water and face severe water scarcity. To mitigate this issue,
water resources need to be managed intelligently and sustainably. In addition, scientists are working on
desalination systems to make non-potable water drinkable. This study focuses on a solar distillation
system with a conical shape designed to produce drinkable water by distilling saline water under
appropriate conditions. Since the performance of these solar distillation systems depends on multiple
parameters, careful optimization is necessary. In this study, the optimization of three key parameters was
carried out using Particle Swarm Optimization (PSO): solar radiation, saline water mass, and water inlet
temperature. As a result of the optimization, potable water production of 1.81780 kg/m² with 63.51%
efficiency was achieved under the conditions of 1000 W/m² solar radiation, 3 kg saline water mass, and
30°C water inlet temperature.
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References
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