FReSMe results presented at the 15th International Virtual Conference on Greenhouse gas control technologies

Virtual conference, 15-18 March 2021

From the 15th till the 18th of march, the GHGT-15 conference was held virtually and hosted by Khalifa University. This prominent event brought together academics and industrials that work in all parts of the CCUS supply chain. The presentations covered a wide range of topics including the commercial deployment of technologies already underway and the next generation of technologies and methods under development.

The FReSMe reached a major milestone last year with the production of methanol from real blast furnace gas at TRL-6. This testing provides crucial data in validating the Sorption Enhanced Water Gas Shift (SEWGS) model developed by TNO. Part of these intensive modelling activities were presented at the GHGT-15 conference.

Figure 1. STEPWISE Installation (left) and CRI Methanol production unit (Right)


The SEWGS model developed at TNO consists of 3 parts; an interaction model, mass-transfer model and column model. The interaction model, describing the interaction of the relevant feed components with the material under a broad range of conditions to represent the different process steps in the SEWGS cycle. The mass-transfer model describes the transport phenomena of the different feed components from the bulk gas phase to the inner section of the sorbent particles. Typically, in PSA applications such as SEWGS, these phenomena are not rigorously modelled by a detailed particle model but captured by a Linear Driving Force (LDF) approximation. Finally, the column model, describing the column behaviour at the specified conditions using a 1D heterogeneous model. Since PSA operation involves simultaneous operation of multiple columns and interaction of columns in the Pressure Equalization and Repressurisation steps, accurate accounting is indispensable in cyclic simulations. In the SEWGS model, only one column is calculated in time, and the interacting column states are stored in a database so they can be used when required. The refined model showed excellent agreement with experimental results as shown by Figure 2 and Figure 3. More details can be read at the publishers.

Figure 2. CO2 and H2O Transient between model and experiment


Figure 3. Flow (left) and composition (right) of H2 Product. Model (solid) and Experiment (dashed)

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727504.

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