Experimental study and artificial neural network-based prediction of solar still performance using sand-filled soda cans for heat storage

Key Points

• Performance prediction using artificial neural networks improved accuracy and efficiency, enhancing solar still setups.
• The analysis revealed a notable increase in heat retention capabilities when utilizing sand-filled soda cans as storage.
• Experimental study involved solar stills, with sand-filled soda cans tested for their heat storage abilities.
• This work supports innovative approaches to improving solar distillation systems, with potential impacts on water purification.