Fuel-cell predictive modeling

  • 19-Mar-2010 09:05 EDT
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gPROMS Fuel Cell from Process Systems Enterprise (PSE) helps reduce time to market and optimize fuel stack and system design and operation through the application of high-fidelity predictive modeling. Aimed at companies bringing fuel-cell technology—proton exchange membrane fuel cell (PEMFC), solid-oxide fuel cell (SOFC), and others—to market, gPROMS Fuel Cell bundles high-fidelity models from PSE's Advanced Model Library for Fuel Cells (AML:FC) within gPROMS modeling and optimization framework. Used by companies such as Toyota and Samsung, it allows simultaneous analysis of detailed micro-scale effects and optimization of cell design and operation within the context of the whole fuel-cell system, providing a means to quantitatively manage the technology risk inherent in this complex technology.

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