An efficient deep reinforcement machine learning-based control reverse osmosis system for water desalination

Desalination ◽  
2022 ◽  
Vol 522 ◽  
pp. 115443
Author(s):  
Talal Bonny ◽  
Mariam Kashkash ◽  
Farah Ahmed
Membranes ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 377
Author(s):  
Federico Leon ◽  
Alejandro Ramos-Martin ◽  
Sebastian Ovidio Perez-Baez

The water situation in the Canary Islands has been a historical problem that has been sought to be solved in various ways. After years of work, efforts have focused on desalination of seawater to provide safe water mainly to citizens, agriculture, and tourism. Due to the high demand in the Islands, the Canary Islands was a pioneering place in the world in desalination issues, allowing the improvement of the techniques and materials used. There are a wide variety of technologies for desalination water, but nowadays the most used is reverse osmosis. Desalination has a negative part, the energy costs of producing desalinated water are high. To this we add the peculiarities of the electricity generation system in the Canary Islands, which generates more emissions per unit of energy produced compared to the peninsular generation system. In this study we have selected a desalination plant located on the island of Tenerife, specifically in the municipality of Granadilla de Abona, and once its technical characteristics have been known, the ecological footprint has been calculated. To do this we have had to perform some calculations such as the capacity to fix carbon dioxide per hectare in the Canary Islands, as well as the total calculation of the emissions produced in the generation of energy to feed the desalination plant.


Desalination ◽  
1977 ◽  
Vol 24 (1-3) ◽  
pp. 341-364 ◽  
Author(s):  
G. Boari ◽  
C. Carrieri ◽  
P. Mappelli ◽  
M. Santori

Solar Cells ◽  
1985 ◽  
Vol 15 (1) ◽  
pp. 61-71 ◽  
Author(s):  
Wagdy R. Anis ◽  
Robert P. Mertens ◽  
R. Van Overstraeten

Author(s):  
Jihun Kim ◽  
Karim Hamza ◽  
Mohamed El Morsi ◽  
Ashraf O. Nassef ◽  
Sayed Metwalli ◽  
...  

Fresh water availability is essential for the economic development in small communities in remote areas. In desert climate, where naturally occurring fresh water is scarce, seawater or brackish water from wells is often more abundant. Since water desalination approaches are energy intensive, a strong motivation exists for the design of cost-effective desalination systems that utilize the abundant renewable energy resource; solar energy. This paper presents an optimization model of a solar-powered reverse osmosis (RO) desalination system. RO systems rely on pumping salty water at high pressure through semi-permeable membrane modules. Under sufficient pressure, water molecules will flow through the membranes, leaving salt ions behind, and are collected in a fresh water stream. Since RO system are primarily powered via electricity, the system model incorporates photovoltaic (PV) panels, and battery storage for smoothing out fluctuations in the PV power output, as well as allowing system operation for a number of hours after sunset. Design variables include sizing of the PV solar collectors, battery storage capacity, as well as the sizing of the RO system membrane module and power elements. The objective is to minimize the cost of unit volume produced fresh water, subject to constraints on production capacity. A genetic algorithm is used to generate and compare optimal designs for two different locations near the Red Sea and Sinai.


2020 ◽  
Vol 135 ◽  
pp. 106729 ◽  
Author(s):  
Alanood A. Alsarayreh ◽  
M.A. Al-Obaidi ◽  
A.M. Al-Hroub ◽  
R. Patel ◽  
I.M. Mujtaba

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