Open AccessImplementation of a TMP Advanced Quality Control System at a Newsprint Manufacturing Plant
Author(s) -
Sebastien Kidd
Publication year - 2006
Publication title -
osti oai (u.s. department of energy office of scientific and technical information)
Language(s) - English
Resource type - Reports
DOI - 10.2172/876110
Subject(s) - newsprint , pulp mill , quality (philosophy) , pulp (tooth) , model predictive control , software , process engineering , computer science , process (computing) , control (management) , mill , process control , reliability engineering , energy consumption , advanced process control , engineering , manufacturing engineering , waste management , pulp and paper industry , mechanical engineering , artificial intelligence , medicine , philosophy , operating system , electrical engineering , effluent , kraft paper , epistemology , pathology , programming language
This project provided for the implementation of an advanced, model predictive multi-variant controller that works with the mill that has existing distributed control system. The method provides real time and online predictive models and modifies control actions to maximize quality and minimize energy costs. Using software sensors, the system can predict difficult-to-measure quality and process variables and make necessary process control decisions to accurately control pulp quality while minimizing electrical usage. This method of control has allowed Augusta Newsprint Company to optimize the operation of its Thermo Mechanical Pulp mill for lower energy consumption and lower pulp quality variance
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