Dear Dr. Khizar Ayaz ,
you can try to use these different software:
-Winflows - Membrane System Design Software
The Winflows reverse osmosis (RO) system design and simulation software program brings advanced RO simulation to a whole new level.
For more details or download, please see at: https://www.suezwatertechnologies.com/resources/winflows
-ROSA 7.0 / 8.0 /9.1 - Dow Water & Process Solutions
FilmTec's ROSA (Reverse Osmosis System Analysis) design software continues to evolve and grow to meet your demanding system design needs.
For more details or download, please see at: https://www.wateronline.com/doc/rosa-7-0-0001
and at: http://www.desal.co.uk/index.php/news/47-dow-introduces-rosa-8
-WAVE 1.77 - Dupont
Water Application Value Engine (WAVE) is the industry’s first fully integrated modeling software program to integrate three of the leading technologies — ultrafiltration (UF), reverse osmosis (RO), and ion exchange (IX) — into one comprehensive tool. Using a common interface, it simplifies the design process and ultimately helps reduce the time needed to manage your water-treatment system.
For more details or download, please see at: https://www.dupont.com/water/resources/design-software.html
- Toray Design System (TorayDS/DS2) - Design software for Reverse Osmosis Process Design
For more details or download, please see at: https://ap3.toray.co.jp/toraywater/
Good luck and best regards, Pierluigi Traverso
Winflows (Suez),
LGChem software,
IMS Design (Hydranautics),
Toray Design System (TorayDS/DS2), and others...
SuperPro Designer from Intelligen includes Reverse Osmosis unit operation models. It also includes examples with RO units. A functional trial edition of SuperPro Designer can be downloaded from www.intelligen.com.
Much chemical process modelling and/or simulation work can be done with the widely-used Microsoft’s Excel.
Application example ― Simulations carried in Excel 5.0 with Visual Basic for Applications (VBA) macros ― The recursive least squares algorithm (RLS) allows for (real-time) dynamical application of least squares regression to time series. While investigating adaptive control and energetic optimization of aerobic fermenters, I have applied the RLS algorithm with forgetting factor (RLS-FF) to estimate the parameters from the KLa correlation, used to predict the O2 gas-liquid mass-transfer, while giving increased weight to most recent data. Estimates were improved by imposing sinusoidal disturbance to air flow and agitation speed (manipulated variables). The power dissipated by agitation was accessed by a torque meter. The proposed (adaptive) control algorithm compared favourably with PID. Simulations assessed the effect of numerically generated white Gaussian noise (2-sigma truncated) and of first order delay. This investigation was reported at (MSc Thesis):
Thesis Controlo do Oxigénio Dissolvido em Fermentadores para Minimi...
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