Title :
Reconciliation-based dynamic cost analysis system for a methanol plant
Author :
Xia Zhao ; Shengxi Wu ; Lin Wang ; Zhaohong Pan
Author_Institution :
Fac. of Dept. of Autom., Shanghai Jiaotong Univ., Shanghai, China
fDate :
June 29 2011-July 1 2011
Abstract :
A novel method for real time process data reconciliation and a modified serial compensation technique for gross error detection are developed in order to obtain balanced and accurate process data. Based on process data reconciliation, a new matrix algorithm is utilized to analyze the dynamic production cost of final product streams and intermediate product streams. As an application, these technologies have been implemented in a large scale coal-based methanol plant successfully.
Keywords :
coal; costing; manufacturing systems; matrix algebra; dynamic production cost; gross error detection; large-scale coal-based methanol plant; matrix algorithm; methanol plant; modified serial compensation technique; product streams; real time process data reconciliation; reconciliation-based dynamic cost analysis system; Materials; Measurement uncertainty; Methanol; Mixers; Optimization; Process control; Real time systems; Manufacturing Executive System (MES); Reconciliation; dynamic cost; matrix algorithm;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5990819
