๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Neural networks for the identification of MSF desalination plants

โœ Scribed by Ramasamy Selvaraj; Pradeep B. Deshpande; Sanjeev S. Tambe; Bhaskar D. Kulkarni


Book ID
107748053
Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
599 KB
Volume
101
Category
Article
ISSN
0011-9164

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Operating experience of MSF desalination
โœ N.K. Pareek; Ahmed Aboudher; H.M. Hassan Beck; M.M. Elgarni ๐Ÿ“‚ Article ๐Ÿ“… 1989 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 492 KB

A MSF desalination plant was provided as an auxiliary unit at Abu-Kammash Chemical Complex to meet the demand of process water and domestic water supply of the town. The plant with a nominal capacity of 100 m3/h, has 29 stages i24 heat recovery stages, 4 heat rejection stages and 1 degassing stage)

Mathematical modelling and expert system
โœ B. Fumagalli; E. Ghiazza ๐Ÿ“‚ Article ๐Ÿ“… 1993 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 934 KB

On the basis of the experience acquired with the design and operation of the process control system of Umm Al Nar East desalination plants (on duty since May 1988), a further development of this kind of control system is presented. The foreseen improvements derive from a suitable subdivision of task

Selecting and tuning the control loops o
โœ M.H.Ali El-Saie; M.H.Erfan Hafez ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 701 KB

The desalination process by multistage flash evaporation is characterized by appreciable process time delay. The process characteristics are changing due to inherent and imposed factors such as fouling of brine heater and condenser tubes, change of brine recycle flow and salinity, loss of stages va