Multivariate monitoring of wastewater treatment processes in pulp and paper industry
The objective of this thesis was to study factors affecting the treatment efficiency in pulp and paper mills activated sludge plants. Another objective was to develop a process monitoring system based on statistical multivariate methods. A short review of activated sludge plants within pulp and paper industry and basic theory of multivariate data analysis is given at the beginning. The effects of pulp and paper mill effluents and their treatment with the activated sludge process are discussed in the first experimental part. The process and control parameters of the process are studied in the next chapters. Effluent quality and sludge settling ability are studied with PLS (Partial Least Squares) models. The main process parameters affecting each effluent quality parameter are selected and the parameters were modeled separately. Lack of relevant information is discussed and a new monitoring parameter, ATP pool, is introduced. The objective of this luminometric assay study is to provide an easy to measure quantity that would quickly give a sufficiently accurate estimate of the amount of biologically active sludge. The experimental data determined in laboratory and mill conditions are presented. Finally, the principal idea of a monitoring system is introduced and evaluated by using experimental data measured at three pulp and paper mills. The goal is to develop a process monitoring system, that would detect the approaching process drift, e.g., bulking state, on its early stage and by this manner enable right control actions in time.
- Research Organization:
- Finnish Academy of Technology, Espoo (Finland); Lappeenrannan Teknillinen Korkeakoulu, Dept. of Chemical Technology (Finland)
- OSTI ID:
- 678973
- Report Number(s):
- PB-99-159113/XAB; ACTA-POLYTEC-SCAND-CH-264; TRN: 92431536
- Resource Relation:
- Other Information: TH: Thesis (Ph.D.); PBD: 19 May 1999
- Country of Publication:
- United States
- Language:
- English
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