Modelling and simulation of MSF desalination process using gPROMS and neural network based physical property correlation

Computer Aided Chemical Engineering

Volumn 21, Issue C, 2006, Pages 315-320

  Tanvir, M S ^a   Mujtaba, I M ^a  

^a UNIVERSITY OF BRADFORD   (United Kingdom)

Author keywords

Desalination; gPROMS; modelling; MSF; NN based correlation

Indexed keywords

EID: 77955191163     PISSN: 15707946     EISSN: None     Source Type: Book Series    
DOI: 10.1016/S1570-7946(06)80065-9     Document Type: Article

References (8)

1. Bromley L.A., et al. AIChE 20 (1974) 326
2. El-Dessouky H.T., and Ettouney H.M. Fundamentals of salt water desalination (2002), Elsevier Science Ltd., Amsterdam
3. gPROMS. Introductory User Guide (2005), Process System Enterprise Ltd (PSE). http://www.psenterprise.com/gproms/
4. Hellal A.M., et al. Computer and Chemical Engineering 10 (1986) 327-342
5. Hussain A., et al. Desalination 92 (1993) 21-41
6. Rosso M., et al. Desalination 108 (1996) 365-374
7. Spiegler K.S., and Liard A.D.K. Principle of desalination (1980), Academic press, New York
8. in press. Tanvir M.S., and Mujtaba I.M. Neural network based correlations for estimating temperature elevation of seawater, in MSF desalination process. Deslaination (2006)