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

Author:

Bellandi Giacomo1,De Mulder Chaïm2,Van Hoey Stijn3,Rehman Usnam4,Amerlinck Youri2,Guo Lisha56,Vanrolleghem Peter A.6,Weijers Stefan7,Gori Riccardo8,Nopens Ingmar2

Affiliation:

1. Department of Civil and Environmental Engineering, Environmental Section, Polytechnic of Milan, Piazza L. da Vinci, 32, 20133 Milan, Italy

2. BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, B-9000 Gent, Belgium

3. INBO, Herman Teirlinckgebouw, Havenlaan 88 bus 73, 1000 Brussel (Anderlecht), Belgium

4. AM-TEAM, Hulstbaan 63, 9100 Sint Niklaas, Belgium

5. Ryerson University, 350 Victoria St, Toronto M5B 2K3, ON, Canada and Trojan Technologies, 3020 Gore Road, London N5 V 4T7, ON, Canada

6. modelEAU, Université Laval, 1065, avenue de la Médecine, Québec G1 V 0A6, QC, Canada

7. Waterschap De Dommel, Bosscheweg 56, 5283 WB Boxtel, The Netherlands

8. Department of Civil and Environmental Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy

Abstract

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.

Publisher

IWA Publishing

Subject

Water Science and Technology,Environmental Engineering

Reference28 articles.

1. Amerlinck Y. 2015 Model Refinements in View of Wastewater Treatment Plant Optimization: Improving the Balance in sub-Model Detail. Ghent University, Gent, Belgium.

2. From the affinity constant to the half-saturation index: understanding conventional modeling concepts in novel wastewater treatment processes;Water Research,2015

3. Seasonal and diurnal variability of N2O emissions from a full-scale municipal wastewater treatment plant;Science of The Total Environment,2015

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