Paper Info
Title
New Predictive Models for COD from All Stages in Full ECF Bleaching Sequences
Abstract
This paper proposes new mathematical models for the prediction of chemical oxygen demand (COD) from different stages in full ECF bleaching sequences and discusses several important issues related to model development and interpretation. The effects of different process conditions, like pH, chemical charge, initial Kappa number, carryover, temperature etc., on the formation of COD from the different chlorine dioxide stages (Do, D1, D2) and extraction stages (E, EO, EP, EOP) were studied and corresponding models were developed for softwood and hardwood pulps. The models, based on results obtained from the extensive studies of the kinetics, stoichiometry, and effluent properties of the chlorine dioxide stages and extraction stages in the ECF bleaching of pulp, were tested for accuracy on a vast range of data both from literature and laboratory experiments. The kinetics, stoichiometry and effluent properties have not previously been considered together for optimization and would be of considerable use in bleach plant optimization as well as in process control of different stages. This study will also help in understanding the need for modifications of the conventional conditions in both the chlorine dioxide and the extraction stages to obtain the best mix between a low formation of COD and high bleaching efficiency.
Year
DOI
Venue
2008
10.1109/UKSIM.2008.8
UKSim
Keywords
Field
DocType
data mining,kinetics,predictive models,chemical processes,kinetic theory,process control,temperature,prediction model,chemical oxygen demand,mathematical model,effluents,kraft pulping,kraft pulp,extraction,testing
Chemical process,Kraft process,Bleach,Pulp (paper),Pulp and paper industry,Computer science,Effluent,Kappa number,Chlorine dioxide,Control engineering,Chemical oxygen demand,Environmental engineering
Conference
ISSN
Citations 
PageRank 
2381-4772
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Sandeep Jain16211.62
Gérard Mortha200.68
Christophe Calais300.68