Numerical simulations of industrial-scale packed-bed adsorbers
Licentiate thesis, 2020
towards a more carbon neutral future. However, the operation of packed beds for continuous substance removal both requires energy, and puts certain technological demands on the plant. For the production of bio-methane, all losses in the plant influence not only the economical aspects, but also the carbon footprint of the end product. Since carbon neutrality is a compelling reason for using bio-methane, this puts further demands on the bed operation. Here, numerical simulations offer increasing opportunities, both with respect to energy optimization, but also to bed design and operation.
In this work, we formulate a numerical model for an industrial sized adsorber, used in GoBiGas for benzene removal. The end goal includes an increased general understanding of the requirements for a successful numerical model of real-world, industrial conditions. This is done in order to be able to better design and optimize packed bed setups for industrial conditions before the actual facilities are built. However, the work also allows to better understand and optimize setups already online. The work presented here includes both analysis of industrial data from GoBiGas and an establishment of how a baseline numerical model performs.
The numerical model is based on solving the governing equations for the system, with no industry-specific parameter tuning. This is important in order to be able to use the models as a predictive tool, useful in e.g. bed design. A finite volume method is used to numerically simulate the flow, mass- and heat-transport in both time and space. The temperature at different axial positions in the bed is used to compare the numerical simulations with the industrial data. We show that a baseline formulation captures the main characteristics of the temperature signals in a bed but there are dynamics of the
industrial data that are not captured. Three areas are identified that require additional development for a better predictability. Those are that a more complete description of the actual gas composition and a more realistic evaporation rate are required and a model for water drainage would benefit the model.
Temperature Swing Adsorption
Finite Volume Method
Chalmers, Mechanics and Maritime Sciences (M2), Fluid Dynamics
A. Jareteg, D. Maggiolo, S. Sasic, and H. Ström. Finite-volume method for industrial-scale temperature-swing adsorption simulations.
A. Jareteg, D. Maggiolo, A. Larsson, H. Thunman, S. Sasic, and H. Ström. Industrial-scale benzene adsorption: assessment of a 1D temperature-swing model against on-line industrial data.
Optimization and increased energy efficiency in indirect gasification gas cleaning
Swedish Energy Agency (41245-1), 2016-03-08 -- 2019-12-31.
Fluid Mechanics and Acoustics
Areas of Advance
C3SE (Chalmers Centre for Computational Science and Engineering)
Opponent: Prof. Kentaro Umeki, Energy Engineering, Energy Science, Department of Engineering Sciences and Mathematics, Luleå University of Technology