Energy saving methodology for the SWRO desalination process: control of operating temperature and pressure
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @Article{Kim:2009:DS2,
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author = "Seung Joon Kim and Young Geun Lee and Sanghoun Oh and
Yun Seok Lee and Young Mi Kim and Moon Gu Jeon and
Sangho Lee and In S. Kim and Joon Ha Kim",
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title = "Energy saving methodology for the SWRO desalination
process: control of operating temperature and
pressure",
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journal = "Desalination",
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year = "2009",
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volume = "247",
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pages = "260--270",
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number = "1-3",
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keywords = "genetic algorithms, genetic programming, Seawater
reverse osmosis (SWRO)",
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DOI = "doi:10.1016/j.desal.2008.12.006",
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ISSN = "0011-9164",
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URL = "http://www.sciencedirect.com/science/article/B6TFX-4X502WT-Y/2/733f20864f4a10d23d73aef497596e27",
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abstract = "This study proposes a new operation methodology for
energy saving in the Fujairah seawater reverse osmosis
(SWRO) plant, as the optimum feed pressure is
determined at the controlled operating temperature. To
this end, two functional models were developed by
genetic programming (GP) using two-year operational
data. The data revealed that the required feed pressure
for the plant operation was potentially overestimated.
Based on the developed models, simulation of a
three-step sequential control was carried out to reduce
and optimise the required feed pressure. The simulation
results first indicate that the temperature control
significantly reduces the required feed pressure at a
reasonably high temperature. Second, as the permeate
water flow rate (PFR) is determined by the optimised
feed pressure instead of the permeate pressure actually
used to maintain a steady PFR in Fujairah, the required
feed pressure could be substantially reduced. As a
result, the proposed methodology can potentially reduce
the required feed pressure, by approximately 10 bar,
under the identical performance of both PFR and
permeate water total dissolved solids (TDS). This study
implies that the optimization of operation and
management of MSF-hybridized SWRO processes can
considerably improve the efficiency of the desalination
process in terms of energy and, eventually, cost
saving.",
- }
Genetic Programming entries for
Seung Joon Kim
Young Geun Lee
Sanghoun Oh
Yun Seok Lee
Young Mi Kim
Moongu Jeon
Sangho Lee
In S Kim
Joon Ha Kim
Citations