Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30848
A Simulation Model and Parametric Study of Triple-Effect Desalination Plant

Authors: Ammar Ben Brahim, Maha BenHamad, Ali Snoussi


A steady-state analysis of triple-effect thermal vapor compressor desalination unit was performed. A mathematical model based on mass, salinity and energy balances is developed. The purpose of this paper is to develop a connection between process simulator and process optimizer in order to study the influence of several operating variables on the performance and the produced water cost of the unit. A MATLAB program is used to solve the model equations, and Aspen HYSYS is used to model the plant. The model validity is examined against a commercial plant and showed a good agreement between industrial data and simulations results. Results show that the pressures of the last effect and the compressed vapor have an important influence on the produced cost, and the increase of the difference temperature in the condenser decreases the specific heat area about 22%.

Keywords: MATLAB, aspen HYSYS, steady-state, triple effect, thermal vapor compressor

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 498


[1] H. T. EI-Dessouky, H. M. Ettouney, Fundamentals of Salt Water Desalination, Elsevier Science B V, New York, 2002.
[2] I. S. Al-Mutaz, I. Wazeer, Development of a steady-state mathematical model for MEE-TVC desalination plants, Desalination 351 (2014) 9-18.
[3] A. O. Bin Amer, Second law and sensitivity analysis of large ME-TVC desalination units, Desalin. Water Treat. 53 (2015) 1234-1245.
[4] S. N. Malik, P. A. Bahri, L. T. T. Vu, Steady state optimization of design and operation of desalination systems using Aspen Custom Modeler, Comput. Chem. Eng. 91 (2016) 247-256.
[5] S. Azimibavil, A. J. Dehkordi, Dynamic simulation of a Multi-Effect Distillation (MED) process, Desalination 392 (2016) 91–101.
[6] F. Alamolhodaa, R. KouhiKamalib, M. Asgari, Parametric simulation of MED–TVC units in operation, Desalin. Water Treat. 57 (2015) 1–14.
[7] S. E. Shakib, M. Amidpour, C. Aghanajafi, A new approach for process optimization of a METVC desalination system, Desalin. Water Treat. 37 (2012) 84–96.
[8] V. C. Onishi, A. Carrero-Parreño, J. A. Reyes-Labarta, R. Ruiz-Femenia, R. Salcedo-Díaz, E. S. Fraga, J. A. Cabellero, Shale gas flowback water desalination: Single vs multiple-effect evaporation with vapor recompression cycle and thermal integration, Desalination 404 (2017) 230-248.
[9] R. Turton, R. C. Bailie, W. B. Whiting, Analysis, synthesis, and design of chemical processes, Fourth Edition, Prentice Hall, New York, NY, 2012.
[10] J. R. Couper, W. C. Penney, J. R. Fair, S. M. Walas, Chemical process equipment, selection and desing, Second Edition, Elsevier, USA, 2010.
[11] Optimization Toolbox User’s Guide, the Math Works, Available online:, 2017.
[12] A. Messac, Optimization in Practice with MATLAB for Engineering Students and Professionals, Cambridge University Press, USA, 2015.
[13] M. A. Navarro-Amoros, R. Ruiz-Femenia, J. A. Cabellero, Integration of modular process simulators under the Generalized Disjunctive Programming framework for the structural flowsheet optimization, Comput. Chem. Eng. 67 (2014) 13-25.