(734h) Application of Paroc in the Optimization and Control of PEM Water Electrolysis Process
AIChE Annual Meeting
Friday, November 2, 2018 - 9:59am to 10:16am
In this work, we present an experimentally validated dynamic mathematical model and control optimization of a PEMWE system using the Parametric Optimization and Control (PAROC) framework (6). The main objectives of this work are to (i) formulate and validate a comprehensive model; (ii) to obtain optimal operating points that minimizes the energy losses in the PEMWE process; (iii) and to design advanced controller to maintain the optimal operating points obtained. The PAROC framework enables the representation and solution of demanding model-based operational optimization and control problems. The application of PAROC on PEMWE features: (i) a high-fidelity dynamic mathematical model of the PEMWE that captures the detailed electrochemical interaction, transport phenomenon, and other interaction associated with energy losses in the system; (ii) a model reduction step that develops a more tractable state-space model from the original complex model without losing its sense of the original model; (iii) a Model Predictive Control (MPC) design and its reformulation to a multi-parametric (mp) optimization problem (which becomes mp-MPC) (7). The solution of the mp-MPC provides a map of solution that spans the feasible operating region of the PEMWE. Unlike the MPC the mp-MPC avoids the online optimization procedure at every time step (7). The optimization is done once and offline to determine the control action at every realization of the parameters while simultaneously accounting for physical and operational constraints. For a system with fast dynamics (like the PEMWE), mp-MPC is ideal.
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