Modelling landfill leachate-induced clogging of field-scale test cells (mesocosms)

2008 ◽  
Vol 45 (11) ◽  
pp. 1497-1513 ◽  
Author(s):  
Andrew J. Cooke ◽  
R. Kerry Rowe
Keyword(s):  
Landfill Leachate ◽  
Reactive Transport ◽  
Transport Model ◽  
Empirical Relationship ◽  
Oxygen Demand ◽  
Reactive Transport Model ◽  
Variable Mesh ◽  
Scale Test ◽  
Real Scale ◽  
Mesh Technique

A two-dimensional fluid flow and reactive transport model, BioClog, created to predict clogging in landfill leachate collection systems is used to calculate the clogging of gravel and treatment of leachate as it flows through the gravel in two real-scale experimental cells, called mesocosms, which represent the portion of a landfill drainage layer adjacent to a landfill collection pipe. These tests were conducted using real-time flows of landfill leachate and were run for about 6 and 12 years. The model computes spatial and temporal changes in clog quantity and composition. An empirical relationship predicts changes in hydraulic conductivity, and a variable mesh technique allows the surface to be free and dependent on calculated hydraulic heads. Calculated porosity change, effluent chemical oxygen demand (COD), and calcium concentrations, along with porosity and clog film thickness at termination are compared with the observed values and found to be in reasonable agreement given the variability and uncertainties associated with these processes.

scholarly journals Reactive Transport Model of Sulfur Cycling as Impacted by Perchlorate and Nitrate Treatments

2016 ◽  
Vol 50 (13) ◽  
pp. 7010-7018 ◽  
Author(s):  
Yiwei Cheng ◽  
Christopher G. Hubbard ◽  
Li Li ◽  
Nicholas Bouskill ◽  
Sergi Molins ◽  
...  
Keyword(s):  
Reactive Transport ◽  
Transport Model ◽  
Sulfur Cycling ◽  
Reactive Transport Model

scholarly journals Coupling a genome-scale metabolic model with a reactive transport model to describe in situ uranium bioremediation

2009 ◽  
Vol 2 (2) ◽  
pp. 274-286 ◽  
Author(s):  
Timothy D. Scheibe ◽  
Radhakrishnan Mahadevan ◽  
Yilin Fang ◽  
Srinath Garg ◽  
Philip E. Long ◽  
...  
Keyword(s):  
Reactive Transport ◽  
Transport Model ◽  
Metabolic Model ◽  
Reactive Transport Model ◽  
A Genome ◽  
Genome Scale

Investigation of Underground Bio-Methanation Using Bio-Reactive Transport Modeling

2021 ◽  
Author(s):  
Denis Sergeevich Nikolaev ◽  
Nazika Moeininia ◽  
Holger Ott ◽  
Hagen Bueltemeier
Keyword(s):  
Carbon Dioxide ◽  
Reactive Transport ◽  
Transport Model ◽  
Porous Media Flow ◽  
Potential Candidate ◽  
Field Scale ◽  
Reactive Transport Model ◽  
Demand Fluctuations ◽  
Gas Fields ◽  
The Impact

Abstract Underground bio-methanation is a promising technology for large-scale renewable energy storage. Additionally, it enables the recycling of CO2 via the generation of "renewable methane" in porous reservoirs using in-situ microbes as bio-catalysts. Potential candidate reservoirs are depleted gas fields or even abandoned gas storages, providing enormous storage capacity to balance seasonal energy supply and demand fluctuations. This paper discusses the underlying bio-methanation process as part of the ongoing research project "Bio-UGS – Biological conversion of carbon dioxide and hydrogen to methane," funded by the German Federal Ministry of Education and Research (BMBF). First, the hydrodynamic processes are assessed, and a review of the related microbial processes is provided. Then, based on exemplary field-scale simulations, the bio-reactive transport process and its consequences for operation are evaluated. The hydrogen conversion process was investigated by numerical simulations on field scale. For this, a two-phase multi-component bio-reactive transport model was implemented by (Hagemann 2018) in the open-source DuMux (Flemisch et al. 2011) simulation toolkit for porous media flow. The underlying processes include the transport of reactants and products, consumption of specific components, and the related growth and decay of the microbial population, resulting in a bio-reactive transport model. The microbial kinetic parameters of methanogenic reactions are taken from the available literature. The simulation study covers different scenarios on conceptional field-scale models, studying the impact of well placement, injection rates, and gas compositions. Due to a significant sensitivity of the simulation results to the bio-conversion kinetics, the field-specific conversion rates must be obtained. Thus, the Bio-UGS project is accompanied by laboratory experiments out of the frame of this paper. Other parameters are rather a matter of design; in the present case of depleted gas fields, those parameters are coupled and can be chosen to convert fully hydrogen and carbon dioxide to methane. Especially the well spacing can be considered the main design parameter in the likely case of a given injection rate and gas composition. This study extends the application of the previously developed code from a homogeneous-2D to the heterogeneous-3D case. The simulations mimic the co-injection of carbon dioxide and hydrogen from a 40 MW electrolysis.

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