Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods

<p dir="ltr">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 tota...

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Bibliographic Details
Main Author: Arash Golabi (21841484) (author)
Other Authors: Abdelkarim Erradi (13475740) (author), Hazim Qiblawey (16030546) (author), Ashraf Tantawy (21841487) (author), Ahmed Bensaid (21259505) (author), Khaled Shaban (20074425) (author)
Published: 2024
Subjects:
Engineering
Engineering practice and education
Environmental engineering
Information and computing sciences
Machine learning
Reinforcement learning
Reverse osmosis
Desalination process
Dynamic modeling
Deep deterministic policy gradient
Deep Q-Network
Optimal management
Data-driven controller
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