DOI: 10.1016/j.watres.2018.05.026
Scopus记录号: 2-s2.0-85048442127
论文题名: Experimental design for evaluating WWTP data by linear mass balances
作者: Le Q.H. ; Verheijen P.J.T. ; van Loosdrecht M.C.M. ; Volcke E.I.P.
刊名: Water Research
ISSN: 431354
出版年: 2018
卷: 142 起始页码: 415
结束页码: 425
语种: 英语
英文关键词: Data reconciliation
; Data validation
; Experimental design
; Mass balances
; Wastewater treatment plant
Scopus关键词: Design of experiments
; Multiobjective optimization
; Pareto principle
; Sewage pumping plants
; Statistics
; Toxicity
; Wastewater treatment
; Water treatment plants
; Computational effort
; Data reconciliation
; Data validation
; Mass balance
; Multi-objective optimization problem
; Optimal solutions
; Pareto-optimal front
; Wastewater treatment plants
; Design
; Article
; biomass
; data analysis
; measurement
; priority journal
; waste water treatment plant
; workflow
英文摘要: A stepwise experimental design procedure to obtain reliable data from wastewater treatment plants (WWTPs) was developed. The proposed procedure aims at determining sets of additional measurements (besides available ones) that guarantee the identifiability of key process variables, which means that their value can be calculated from other, measured variables, based on available constraints in the form of linear mass balances. Among all solutions, i.e. all possible sets of additional measurements allowing the identifiability of all key process variables, the optimal solutions were found taking into account two objectives, namely the accuracy of the identified key variables and the cost of additional measurements. The results of this multi-objective optimization problem were represented in a Pareto-optimal front. The presented procedure was applied to a full-scale WWTP. Detailed analysis of the relation between measurements allowed the determination of groups of overlapping mass balances. Adding measured variables could only serve in identifying key variables that appear in the same group of mass balances. Besides, the application of the experimental design procedure to these individual groups significantly reduced the computational effort in evaluating available measurements and planning additional monitoring campaigns. The proposed procedure is straightforward and can be applied to other WWTPs with or without prior data collection. © 2018 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/112610
Appears in Collections: 气候减缓与适应
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作者单位: Department of Green Chemistry and Technology, Ghent University, Belgium; Department of Biotechnology, Delft University of Technology, Netherlands
Recommended Citation:
Le Q.H.,Verheijen P.J.T.,van Loosdrecht M.C.M.,et al. Experimental design for evaluating WWTP data by linear mass balances[J]. Water Research,2018-01-01,142