Operation Optimization with Jointly Controlled Modules Powered by Hybrid Energy Source : A Case Study of Desalination

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This article describes operation optimization with jointly controlled modules powered by hybrid energy source. Operation optimization is theoretically equivalent to optimization of certain objective (function(s)), representing operational efficiency, with imposed operational constraints. When the operation optimization involves multiple modules, joint control of these modules is highly likely to provide improved operational efficiency. Socio-economic advantages of renewable energy, including environmental benefit, infinite availability, and diversification of energy source, have been the motivation of the large number of relevant studies over the past decades. The periodic or aperiodic intermittency of typical renewable energy can be mitigated or removed by complementary measure that helps more stable energy provision. From this viewpoint, combining with other type of renewable energy or power grid in the form of hybrid energy source is effective. Desalination process is taken as the case study of operation optimization with jointly controlled modules powered by hybrid energy source and new experimental results are presented to help understand the impact of joint control, multi-objective optimization, and hybrid energy source on operation optimization.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2018-01
Language
English
Article Type
Review
Keywords

MULTIOBJECTIVE EVOLUTIONARY ALGORITHMS; OF-THE-ART; WATER DESALINATION; GENETIC ALGORITHM; RENEWABLE ENERGY; ECONOMIC-ANALYSIS; SEAWATER DESALINATION; RO DESALINATION; WIND SYSTEM; FRESH-WATER

Citation

RENEWABLE & SUSTAINABLE ENERGY REVIEWS, v.81, no.2, pp.3070 - 3080

ISSN
1364-0321
DOI
10.1016/j.rser.2017.08.076
URI
http://hdl.handle.net/10203/239459
Appears in Collection
GT-Journal Papers(저널논문)
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