10 research outputs found

    High Temperature Resistant Exhaust Valve Spindle

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    A Rigorous Integrated Approach to Model Electrochemical Regeneration of Alkaline CO<sub>2</sub> Capture Solvents

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    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
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