Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4987920 | Desalination | 2016 | 13 Pages |
Abstract
This article addresses the global optimization of hybrid MSF-RO desalination processes using differential evolution algorithm. All possible stream contacting options for MSF process with brine recycle (MSF-BR) and single stage RO system (SRO) have been considered to achieve five distinct alternate hybrid MSF-RO processes 1-5. For comparison purposes, sequential quadratic programming (SQP) algorithm available in the MATLAB optimization toolbox and its variants (multi-start SQP and DESQP) has been considered. Based on optimization studies, the hybrid 4 MSF-RO process has been identified to provide lowest freshwater production cost of 0.9703 $/m3 for an optimal decision variable value set of [9527.8 m3/h, 1.0439, 20, 3.5082 kW/m2·K, 3.2792 kW/m2·K, 3.2884 kW/m2·K, 8.62 m, 68.03 bar, 8054, 491.8 ppm, 0.8061] for variable set of [WMF, RH, NR, UB, UR, Uj, LT, P1F, NM1, C1RP, r1]. Further, inequality constraint resolution has been evaluated to be the best for the DE in comparison to MS-SQP, SQP and DE-SQP. Parametric sensitivity of various process and operating cost parameters indicated non-linear variation of the hybrid MSF-RO process cost profiles which are significantly different from the linear profiles available in the literature.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Filtration and Separation
Authors
Chandra Sekhar Bandi, R. Uppaluri, Amit Kumar,