Polymer and Separations (PolySep) ResearchLaboratory

Last update:

09/07/2006

Dan Libotean     Degree Objective: Ph.D. Home Institution Advisor: Jaume Giralt UCLA Co-Advisor: Prof. Y. Cohen

Research Interests

• RO Desalination
• RO desalination process analysis for high recovery
• Diagnostic analysis for establishing RO desalination recovery limits

Current Project

One of the more important issues of membrane technology for water treatment and desalination  is the characterization of operation parameters that affect fouling.  Prediction of the occurence of membrane fouling and scaling  is crucial to establishing effective fouling and scaling mitigation strategies (including membrane cleaning cycles)  be regenerated and/or renewed. This prediction is also important for predicting the operation pressure and the flow/permeation resistance. The present project deals with characterization of membrane fouling using neural networks based on extensive historical data. The influence of process variables will be classified using an ARTMAP neural network and also using Cohonen maps and the major influence of variables will be determined. Experimental work will also be conducted to validate model predictions.

Publications and Conference Presentations:

Contact Information

Send E-Mail to Dan Libotean

Departament d'Enginyeria Química
Escola Tècnica Superior d'Enginyeria Química
Room 225
Avda Paisos Catalans, 26
Universitat Rovira i Virgili
43006 Tarragona, Catalunya