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PMID: 30816864 Published · ppublish English Journal Article

Tanks in series versus compartmental model configuration: considering hydrodynamics helps in parameter estimation for an N2O model.

Bellandi G, De Mulder C, Van Hoey S, Rehman U, Amerlinck Y, Guo L, Vanrolleghem PA, Weijers S, Gori R, Nopens I

Abstract

The choice of the spatial submodel of a water resource recovery facility (WRRF) model should be one of the primary concerns in WRRF modelling. However, currently used mechanistic models are limited by an over-simplified representation of local conditions. This is illustrated by the general difficulties in calibrating the latest N2O models and the large variability in parameter values reported in the literature. The use of compartmental model (CM) developed on the basis of accurate hydrodynamic studies using computational fluid dynamics (CFD) can take into account local conditions and recirculation patterns in the activated sludge tanks that are important with respect to the modelling objective. The conventional tanks in series (TIS) configuration does not allow this. The aim of the present work is to compare the capabilities of two model layouts (CM and TIS) in defining a realistic domain of parameter values representing the same full-scale plant. A model performance evaluation method is proposed to identify the good operational domain of each parameter in the two layouts. Already when evaluating for steady state, the CM was found to provide better defined parameter ranges than TIS. Dynamic simulations further confirmed the CM's capability to work in a more realistic parameter domain, avoiding unnecessary calibration to compensate for flaws in the spatial submodel.

MeSH 主题词
Conservation of Water Resources/methods Hydrodynamics Models, Chemical Nitrogen Dioxide/analysis Sewage Waste Disposal, Fluid/methods,statistics & numerical data Water Resources Water Supply/statistics & numerical data
化学物质
Sewage Nitrogen Dioxide
作者与单位
共 10 位作者,点击展开单位 / ORCID
Bellandi Giacomo
Department of Civil and Environmental Engineering, Environmental Section, Polytechnic of Milan, Piazza L. da Vinci, 32, 20133 Milan, Italy E-mail: [email protected].
De Mulder Chaïm
BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, B-9000 Gent, Belgium.
Van Hoey Stijn
INBO, Herman Teirlinckgebouw, Havenlaan 88 bus 73, 1000 Brussel (Anderlecht), Belgium.
Rehman Usnam
AM-TEAM, Hulstbaan 63, 9100 Sint Niklaas, Belgium.
Amerlinck Youri
BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, B-9000 Gent, Belgium.
Guo Lisha
Ryerson University, 350 Victoria St, Toronto M5B 2K3, ON, Canada and Trojan Technologies, 3020 Gore Road, London N5 V 4T7, ON, Canada; modelEAU, Université Laval, 1065, avenue de la Médecine, Québec G1 V 0A6, QC, Canada.
Vanrolleghem Peter A
modelEAU, Université Laval, 1065, avenue de la Médecine, Québec G1 V 0A6, QC, Canada.
Weijers Stefan
Waterschap De Dommel, Bosscheweg 56, 5283 WB Boxtel, The Netherlands.
Gori Riccardo
Department of Civil and Environmental Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.
Nopens Ingmar
BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, B-9000 Gent, Belgium.
Article Info
Journal
Water science and technology : a journal of the International Association on Water Pollution Research
Abbr.
Water Sci Technol
ISSN
0273-1223
Corresponding email
Published
2019-01-00
页码
73-83
Language
English
Country/Region
England
NLM ID
9879497
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