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Process analyzer location and performance assessment for optimal process monitoring
Author(s) -
van den Berg Frans W. J.,
Boelens Hans F. M.,
Smilde Age K.,
Hoefsloot Huub C. J.
Publication year - 2001
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690471113
Subject(s) - spectrum analyzer , process (computing) , computer science , factor (programming language) , work in process , sample (material) , sampling (signal processing) , process analytical technology , process engineering , engineering , chemistry , telecommunications , operations management , filter (signal processing) , chromatography , computer vision , programming language , operating system
The influence of process analyzer location and performance on plant‐wide process monitoring was evaluated using five uncertainty contributions to the estimation error: measurement error/uncertainty, analysis frequency, sample size/grab error, analyzer memory effect/response correlation, and delay time. The choice of both the location and performance characteristics of different process analyzers can be evaluated using a measurability factor M, ranging from zero to one, where one indicates perfect monitoring capabilities. Due to the unifying nature of the measurability factor, this factor can be used to make a rational decision between very different process analyzers. This allows for finding optimal process analyzer configurations for existing processes or for processes in the design phase. A tubular reactor simulation model was used for the partial oxidation of benzene to maleic anhydride to demonstrate the use of the measurability factor.