Modelling, simulation, optimization and control of multistage flashing (MSF) desalination plants Part I: Modelling and simulation

Desalination ◽  
1993 ◽  
Vol 92 (1-3) ◽  
pp. 21-41 ◽  
Author(s):  
Asghar Husain ◽  
Ali Hassan ◽  
Darwish M.K. Al-Gobaisi ◽  
Adil Al-Radif ◽  
A. Woldai ◽  
...  
Keyword(s):  
Simulation Optimization ◽  
Modelling And Simulation ◽  
Optimization And Control ◽  
Desalination Plants ◽  
And Control ◽  
Modelling Simulation

Modelling, simulation, optimization and control of multistage flashing (MSF) desalination plants Part II: Optimization and control

Desalination ◽  
1993 ◽  
Vol 92 (1-3) ◽  
pp. 43-55 ◽  
Author(s):  
Asghar Husain ◽  
Darwish M.K. Al-Gobaisi ◽  
Ali Hasan ◽  
A. Kesou ◽  
A. Kurdali ◽  
...  
Keyword(s):  
Simulation Optimization ◽  
Optimization And Control ◽  
Desalination Plants ◽  
And Control ◽  
Modelling Simulation

scholarly journals Simulation and control systems in MIDES

2021 ◽  
pp. 137-174
Author(s):  
Erhard Perz ◽  
Fatima Dargam ◽  
Stefan Bergmann ◽  
Ekaterina Rodionova ◽  
Pedro Sousa ◽  
...  
Keyword(s):  
Process Simulation ◽  
Simulation Optimization ◽  
Process Modelling ◽  
Modelling And Simulation ◽  
Automated Control ◽  
Plant Monitoring ◽  
Simulation And Control ◽  
Desalination Plants ◽  
And Control ◽  
Modelling Process

Abstract This chapter presents the work concerning the modelling and simulation of the overall MDC process, as well as its performance analysis and optimization. It also focuses on the support that the work brings for operational decisions on desalination plants, specifically applied to a microbial-powered approach for water treatment and desalination, starting from the stages of process modelling, process simulation, optimization and lab-validation, through the stages of plant monitoring and automated control. The work is based on the application of the environment IPSEpro from SimTech for the stage of process modelling and simulation; and on the system Databridge from Oncontrol for automated control, which employs techniques of machine learning.

Simulation, optimization and control of a thermal cracking furnace

Energy ◽  
2006 ◽  
Vol 31 (4) ◽  
pp. 516-527 ◽  
Author(s):  
M MASOUMI ◽  
S SADRAMELI ◽  
J TOWFIGHI ◽  
A NIAEI
Keyword(s):  
Simulation Optimization ◽  
Thermal Cracking ◽  
Optimization And Control ◽  
And Control
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