Modelling and optimization of an inverted pyramid solar still using ANFIS-PSO: predictive analysis of water production, energy, and exergy efficiency.
(2025)
Journal Article
ELSHEIKH, A.H., EGIZA, M., DIAB, M.R., NASSAR, M., ALHOSARY, M., NASSAR, S., ROZZA, M., FAISAL, N. and ESSA, F.A. 2025. Modelling and optimization of an inverted pyramid solar still using ANFIS-PSO: predictive analysis of water production, energy, and exergy efficiency. Separation and purification technology [online], In Press, article number 134492. Available from: https://doi.org/10.1016/j.seppur.2025.134492
This study addresses the pressing challenge of enhancing the predictive modelling of solar still performance, focusing on critical parameters: water yield, energy efficiency, and exergy efficiency. The research utilizes an Adaptive Neuro-Fuzzy Infere... Read More about Modelling and optimization of an inverted pyramid solar still using ANFIS-PSO: predictive analysis of water production, energy, and exergy efficiency..