Name
Abstract | ||
|---|---|---|
Reverse osmosis (RO) technique is one of the most efficient ways for seawater desalination to solve the shortage of freshwater. For prediction and analysis of the performance of seawater reverse osmosis (SWRO) process, an accurate and detailed model based on the solution-diffusion and mass transfer theory is established. Since the accurate formulation of the model includes many differential equations and strong nonlinear equations (differential and algebraic equations, DAEs), to solve the problem efficiently, the simultaneous method through orthogonal collocation on finite elements and large scale solver were used to obtain the solutions. The model was fully discretized into NLP (nonlinear programming) with large scale variables and equations, and then the NLP was solved by large scale solver of IPOPT. Validation of the formulated model and solution method is verified by case study on a SWRO plant. Then simulation and analysis are carried out to demonstrate the performance of reverse osmosis process; operational conditions such as feed pressure and feed flow rate as well as feed temperature are also analyzed. This work is of significant meaning for the detailed understanding of RO process and future energy saving through operational optimization. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1155/2014/908569 | JOURNAL OF APPLIED MATHEMATICS |
Field | DocType | Volume |
Discretization,Differential equation,Mathematical optimization,Nonlinear system,Orthogonal collocation,Nonlinear programming,Finite element method,Solver,Desalination,Mathematics | Journal | 2014 |
ISSN | Citations | PageRank |
1110-757X | 1 | 0.40 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aipeng Jiang | 1 | 1 | 0.40 |
| Qiang Ding | 2 | 1 | 0.40 |
| Jian Wang | 3 | 2 | 0.88 |
| Jiangzhou Shu | 4 | 1 | 0.40 |
| Wen Cheng | 5 | 1 | 0.40 |
| Changxin Xing | 6 | 1 | 0.40 |