DocumentCode :
599248
Title :
Parameter optimization of a Sludge Drying Plant for processing capability improvement
Author :
Mohamed, M.Z. ; Ghazali, M.F.M. ; Idrus, S.M. ; Wahab, N.A.
Author_Institution :
Eng. Dept., PETRONAS Penapisan Melaka Sdn Bhd, Sungai Udang, Malaysia
fYear :
2012
fDate :
23-26 Sept. 2012
Firstpage :
26
Lastpage :
29
Abstract :
The Sludge Drying Plant (SDP) is the final processing facility of Effluent Treatment System (ETS) that produces bio-sludge cake before it is sent out for final disposal. Due to the process disturbances the amount of dry solid is reduced tremendously. The principal objective of this study is to perform a parameter optimization for the SDP through identification on the current performance through actual process data analysis and identification of the subsystems for optimization. On disposal, Kualiti Alam will charge the dried cake sludge based on the weight, not on the content; therefore it is only sensible to export the dried cake at maximum dryness. Optimized controls for the SDP ensures that a maximum weight percent solution (wt%) is squeezed out through complex computing from available process parameters, which in return would incur a potential cost avoidance for this oil and gas processing plant more than RM1million annually.
Keywords :
drying; effluents; gas industry; industrial waste; optimisation; sludge treatment; waste disposal; Kualiti Alam; biosludge cake production; cost avoidance; disposal; effluent treatment system; gas processing plant; oil processing plant; parameter optimization; process data analysis; process data identification; processing capability improvement; sludge drying plant; Artificial neural networks; Control systems; Polymers; Redundancy; Solids; Sludge Drying Plant; effluent treatment system; parameter optimization; process design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Systems & Industrial Informatics (ICCSII), 2012 IEEE Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-1022-2
Type :
conf
DOI :
10.1109/CCSII.2012.6470467
Filename :
6470467
Link To Document :
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