BibTeX
@ARTICLE{
         Jiang2015Oof,
       title = "Optimal operations for large-scale seawater reverse osmosis networks",
       journal = "Journal of Membrane Science",
       volume = "476",
       pages = "508--524",
       year = "2015",
       issn = "0376-7388",
       doi = "10.1016/j.memsci.2014.12.005",
       url = "http://www.sciencedirect.com/science/article/pii/S0376738814009089",
       author = "Aipeng Jiang and Lorenz T. Biegler and Jian Wang and Wen Cheng and Qiang Ding and Shu
         Jiangzhou",
       keywords = "Desalination, Reverse osmosis, Network, Operational optimization, IPOPT",
       abstract = "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.",
       ad_area = "Water Management"
}