2024
DOI: 10.1007/s10489-024-05452-8
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Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods

Arash Golabi,
Abdelkarim Erradi,
Hazim Qiblawey
et al.

Abstract: The reverse osmosis (RO) process is a well-established desalination technology, wherein energy-efficient techniques and advanced process control methods significantly reduce production costs. This study proposes an optimal real-time management method to minimize the total daily operation cost of an RO desalination plant, integrating a storage tank system to meet varying daily freshwater demand. Utilizing the dynamic model of the RO process, a cascade structure with two reinforcement learning (RL) agents, namel… Show more

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