A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Global optimal design of Mechanical Vapor Compression (MVC) desalination process
This paper deals with the optimal design of MVC (mechanical vapour compression) desalination process. Precisely, a detailed mathematical model of the process and a deterministic global optimisation algorithm are applied to determine the optimal design and operating conditions for the system. The resulting model involves the real-physical constraints for the evaporation process. Nonlinear equations in terms of chemico-physical properties and design equations (efficiencies, non-allowance equilibrium, boiling point elevation, heat transfer coefficients, momentum balances, among others) are used to model the process. The model has been solved by using a deterministic global optimisation algorithm previously developed by the authors and implemented in a GAMS (general algebraic modelling system). The generalised reduced gradient algorithm CONOPT 2.041 is used as NLP (nonlinear programming) local solver. The model was successfully solved for different seawater conditions (salinity and temperature) and fresh water production levels. The influence of the production requirements on the process efficiency as well as the algorithm's performance is presented.
Global optimal design of Mechanical Vapor Compression (MVC) desalination process
This paper deals with the optimal design of MVC (mechanical vapour compression) desalination process. Precisely, a detailed mathematical model of the process and a deterministic global optimisation algorithm are applied to determine the optimal design and operating conditions for the system. The resulting model involves the real-physical constraints for the evaporation process. Nonlinear equations in terms of chemico-physical properties and design equations (efficiencies, non-allowance equilibrium, boiling point elevation, heat transfer coefficients, momentum balances, among others) are used to model the process. The model has been solved by using a deterministic global optimisation algorithm previously developed by the authors and implemented in a GAMS (general algebraic modelling system). The generalised reduced gradient algorithm CONOPT 2.041 is used as NLP (nonlinear programming) local solver. The model was successfully solved for different seawater conditions (salinity and temperature) and fresh water production levels. The influence of the production requirements on the process efficiency as well as the algorithm's performance is presented.
Global optimal design of Mechanical Vapor Compression (MVC) desalination process
Marcovecchio, Marian (author) / Aguirre, Pio (author) / Scenna, Nicolas (author) / Mussati, Sergio (author)
2010
6 Seiten, 1 Bild, 1 Tabelle, 7 Quellen
Conference paper
English
Analysis of Desalination Performance with a Thermal Vapor Compression System
| DOAJ | 2023
Mechanical vapour compression desalination plants - A case study
| Tema Archive | 1995