Abstract
This work develops a rigorous model for electrochemical regeneration in Aspen Custom Modeler (ACM), designed to seamlessly integrate into ASPEN Plus, allowing to model complete carbon dioxide (CO2) capture – electrochemical regeneration cycles on a single modelling platform. The modelling of CO2 electrochemical cells has gained significant attention in CO2 capture and utilization processes. This emphasizes the importance of modelling in driving the progress of CO2
electrochemical cells which combines absorption by alkaline solvents
and electrochemical solvent regeneration. In such process, potassium hydroxide (KOH, or other metal hydroxides) is used as a solvent for CO2 capture. This process involves a series of chemical reactions that result in the formation of potassium carbonate (K2CO3) and potassium bicarbonate (KHCO3). After CO2 is captured through absorption, the K2CO3/KHCO3
solution is directed towards the regeneration cell where an
electrochemically driven pH swing takes place facilitating the
desorption of CO2. The cell’s primary objective is to lower
the pH of the solution by generating protons at the anode, thereby
moving its chemical equilibrium towards carbonic acid. Given the limited
solubility of CO2 in water, it desorbs once it reaches
saturation. The residual solution can be reclaimed in the cathode
compartment and recycled. Electrochemistry models are currently
unavailable in popular simulation software like ASPEN Plus, thus making
the development of integrated process models, in this case for CO2 capture, more challenging. Here, we introduced a rigorous model to be applied in ACM/ASPEN Plus software to simulate the CO2
regeneration process. The model’s validity was assessed against
experimental measurements. Following this validation, the model was
subsequently employed to design pilot plant campaigns for the Horizon
2020 project ConsenCUS
Original language | English |
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Title of host publication | Proceedings of the 34th European Symposium on Computer Aided Process Engineering |
Editors | Flavio Manenti, Gintaras V. Reklaitis |
Volume | 53 |
Publisher | Elsevier |
Publication date | 2024 |
Pages | 871-876 |
DOIs | |
Publication status | Published - 2024 |
Event | 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering - Florence, Italy Duration: 2 Jun 2024 → 6 Jun 2024 |
Conference
Conference | 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering |
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Country/Territory | Italy |
City | Florence |
Period | 02/06/2024 → 06/06/2024 |
Keywords
- CO2 capture
- Electrochemical cell
- ConsenCUS
- Absorption
- ASPEN