Next Article in Journal
Automatic Implementation of a Self-Adaption Non-Intrusive Load Monitoring Method Based on the Convolutional Neural Network
Next Article in Special Issue
Generic Model Control Applied to E. coli BL21(DE3) Fed-Batch Cultures
Previous Article in Journal
The Effects of pH Change through Liming on Soil N2O Emissions
Previous Article in Special Issue
Classification and Comparison of Dividing Walls for Distillation Columns
Open AccessFeature PaperArticle

Linking CFD and Kinetic Models in Anaerobic Digestion Using a Compartmental Model Approach

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium
Department of Water Technology and Environmental Engineering, University of Chemistry and Technology Prague, Technicka 5, 166 28 Prague 6, Czech Republic
Author to whom correspondence should be addressed.
Processes 2020, 8(6), 703;
Received: 29 April 2020 / Revised: 13 June 2020 / Accepted: 15 June 2020 / Published: 17 June 2020
(This article belongs to the Special Issue Redesign Processes in the Age of the Fourth Industrial Revolution)
Understanding mixing behavior and its impact on conversion processes is essential for the operational stability and conversion efficiency of anaerobic digestion (AD). Mathematical modelling is a powerful tool to achieve this. Direct linkage of Computational Fluid Dynamics (CFD) and the kinetic model is, however, computationally expensive, given the stiffness of the kinetic model. Therefore, this paper proposes a compartmental model (CM) approach, which is derived from a converged CFD solution to understand the performance of AD under non-ideal mixing conditions and with spatial variation of substrates, biomass, pH, and specific biogas and methane production. To quantify the effect of non-uniformity on the reactor performance, the CM implements the Anaerobic Digestion Model 1 (ADM1) in each compartment. It is demonstrated that the performance and spatial variation of the biochemical process in a CM are significantly different from a continuously stirred tank reactor (CSTR) assumption. Hence, the assumption of complete mixed conditions needs attention concerning the AD performance prediction and biochemical process non-uniformities. View Full-Text
Keywords: ADM1; CFD; CM; kinetics; non-Newtonian fluid; spatial variation ADM1; CFD; CM; kinetics; non-Newtonian fluid; spatial variation
Show Figures

Figure 1

MDPI and ACS Style

Tobo, Y.M.; Bartacek, J.; Nopens, I. Linking CFD and Kinetic Models in Anaerobic Digestion Using a Compartmental Model Approach. Processes 2020, 8, 703.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop