We present computer automated engineering of fuel cell stack design to maximize power production and minimize energy losses. Validated cell models are applied to 3-D stack simulations, where optimization algorithms obtain better designs, faster. Each simulation conserves flow, energy, species, and charge transport using efficient sparse segregated solvers. Automated workflows and state-of-the-art search algorithms allow for fast design space exploration of fuel cell material properties, dimensions, and boundary conditions.
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Figure 1: In solid oxide fuel cells, hydrogen fuel diffusing through the porous anode (left) reacts with oxygen ions traveling across the electrolyte membrane separator (middle) and produce electrons conducting through the solid porous cathode (right). Power is generated by flow of electrons from anode through an external circuit to the cathode (top), where they recombine with oxygen, in the air feed diffusing through the porous cathode, to repopulate membrane oxygen ions.