(22b) Surrogate-Based Process Modeling Optimization: Application to Modular Carbon Capture System Via Vacuum Pressure Swing Adsorption
Optimization-based process design can be used to determine the optimal adsorption system by simultaneously considering the adsorbent and the process operating conditions. Accounting for all complex interactions between design decisions, optimization-based approach is superior to heuristics-based approach. However, one challenge of optimization-based process design is that the resulting optimization problem is difficult to solve when high-fidelity simulation is used to represent an adsorption system. Thus, traditional equation-based approach may not be viable. The use of surrogate-based optimization has been proposed to reduce the complexity of the optimization problem [4, 5]. Surrogate-based optimization involves replacing complex computer simulations with surrogate models; the surrogate model is then optimized to determine the best modular design.
In this work, we propose a surrogate-based optimization strategy for the design of a modular carbon capture system. We specifically focus on a Vacuum Pressure-Swing Adsorption (VPSA) cycle for a bed packed with thermally-modulated fiber composites . The application of this class of structured contactor allows improved mass transfer, minimal pressure drop, and intrinsic thermal management, therefore intensifying carbon capture efficiency. We consider several existing adsorbents and determine the optimal modular design via the use of surrogate-based optimization. The performance of a modular design is analyzed by using metrics such as purity, recovery, energy requirement, and productivity. Furthermore, using Principal Component Analysis, we illustrate the relationship between adsorbent performance and process operation and demonstrate how we can gain insight into adsorbent performance.
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