Maximising Efficiency and Stability in Photovoltaic-Reverse Osmosis Desalination Systems Through Data-Driven Optimisation and Advanced Control Strategies

Mowafy, A.G.E.M.I.; Steiks, I.

doi:10.2478/lpts-2025-0016

Abstract

The integration of photovoltaic (PV) energy sources with reverse osmosis (RO) desalination systems has gained considerable attention due to its potential to provide sustainable and environmentally friendly solutions for freshwater production. The novelty of this paper lies in using data science to generate the maximum optimisation in PV-RO systems. PV panels generate electricity, which is used to power the RO process, converting saline water into potable water. However, the intermittent nature of solar energy poses a significant challenge for maintaining stable and efficient operations. This paper also examines a new control algorithm using Fuzzy Logic Type2 with Artificial Neural Network for PV-RO desalination systems without the use of batteries.

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Maximising Efficiency and Stability in Photovoltaic-Reverse Osmosis Desalination Systems Through Data-Driven Optimisation and Advanced Control Strategies

Abstract

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