Operational optimization of large-scale parallel-unit SWRO desalination plant using differential evolution algorithm.
A large-scale parallel-unit seawater reverse osmosis desalination plant contains many reverse osmosis (RO) units. If the operating conditions change, these RO units will not work at the optimal design points which are computed before the plant is built. The operational optimization problem (OOP) of the plant is to find out a scheduling of operation to minimize the total running cost when the change happens. In this paper, the OOP is modelled as a mixed-integer nonlinear programming problem. A two-stage differential evolution algorithm is proposed to solve this OOP. Experimental results show that the proposed method is satisfactory in solution quality.
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China ; Institute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Jian
0000-0003-4533-9510
J
Wang
Institute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Xiaolong
X
Wang
Institute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Aipeng
A
Jiang
Institute of Energy Utilization & Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Shu
S
Jiangzhou
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310027, China.
Ping
P
Li
D000465:Algorithms; D008962:Models, Theoretical; D009995:Osmosis; D054712:Salinity; D012965:Sodium Chloride / Q000302:isolation & purification*; D018508:Water Purification / Q000379:methods*
D012965:Sodium Chloride