Modeling and Optimization of Brackish Water Solar Desalination Plant Working on Reverse Osmosis Process
Asma Adda1, Wahib Mohamed Naceur2, Mohamed Abbas3, Mohamed Tabet4
1Asma Adda, Department of Chemical Engineering, Medea University, Algeria.
2Wahib Mohamed Naceur, Department of Chemical Engineer, Blida University, Algeria.
3Mohamed Abbas, Unit Solar Equipments Development UDES, EPST CDER, Tipaza, Algeria.
4Mohamed Tabet, Department of Physical Education and Sport, Dely Brahim University, Algeria.
Manuscript received on 15 September 2016 | Revised Manuscript received on 23 September 2016 | Manuscript Published on 30 September 2016 | PP: 1-4 | Volume-6 Issue-4, September 2016 | Retrieval Number: D2359096416/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Nowadays, brackish and sea water desalination has became one of important fresh water sources in arid and semiarid regions suffering from water scarcity. The reverse osmosis process which is one of desalination process requires large amount of electric energy, it’s around 3.5–5.0 kWh/m3 . Hence, solar energy-powered reverse osmosis systems are promising technologies for brackish and seawater desalination notably for small remote communities. These systems can be designed according to water demand and energy resource. This work aims to minimize the specific energy consumption (SEC) of a solar desalination plant working on reverse osmosis process to produce fresh water from brackish water (BWRO). Two scenarios are taken into account; (1) BWRO without recovery device, (2) BWRO with energy recovery device (turbine). A mathematical model and an algorithm in the MATLAB area have been developed and validated. The results show that the minimum value of specific energy consumption for the proposed plant is about 0.1269 kWh/m3 for 47% of water recovery.
Keywords: Reverse Osmosis Process, Renewable Energy, Specific Energy Consumption, Modelisation, Optimization.
Scope of the Article: Bio-Science and Bio-Technology