4.7 Article

Optimal operations for large-scale seawater reverse osmosis networks

Journal

JOURNAL OF MEMBRANE SCIENCE
Volume 476, Issue -, Pages 508-524

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.memsci.2014.12.005

Keywords

Desalination; Reverse osmosis; Network; Operational optimization; IPOPT

Funding

  1. National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2009BAB47B06]
  2. National Natural Science Foundation of China [60904058, 61374142]
  3. Natural Science Foundation of Zhejiang [LY12F03001]

Ask authors/readers for more resources

Optimal operation of large-scale seawater reverse osmosis (SWRO) systems, which include multiple RO plants and storage tanks, are studied to reduce the energy cost; and at the same an effective computing method was introduced for the purpose of real time optimization. With well developed models of the RO process and storage tanks based on the first principle, the optimal operation problem is subsequently formulated in the form of differential-algebraic optimization problems (DAOPs). Simultaneous collocation method was used to transform the problem into a large-scale nonlinear programming problem, and then IPOPT solver, combined with an efficient initial-value and finite-element meshing technique, was used for fast solution. Then the optimal operation problem with different variable parameters that significantly affect the performance and the energy saving of the SWRO system were investigated through case studies. Computational results show that the optimal operation problem under different conditions can be solved with high efficiency and stability, and significant energy-saving potential can be obtained through the optimal operation proposed in this paper. (C) 2014 Elsevier By. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available