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Process Systems Enterprise (PSE), providers of the Gproms advanced process modelling suite, has launched the Gproms Fuel Cell product.

Aimed at companies designing fuel-cell technology, Gproms Fuel Cell is claimed to help reduce time to market as well as optimise fuel stack and system design and operation through the application of high-fidelity predictive modelling.

Gproms Fuel Cell bundles high-fidelity models from PSE’s Advanced Model Library for Fuel Cells (AML:FC) within the Gproms modelling and optimisation framework.

It allows simultaneous analysis of detailed micro-scale effects and optimisation 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 technology.

Gproms Fuel Cell is able to analyse and optimise aspects such as current density distribution over the stack, water management (for PEMFC), deactivation and stack longevity, as well as integration of the stack with fuel processing and other systems.

An optional interface can be used to link membrane-electrode assembly (MEA) models with computational fluid dynamics (CFD) models of flow channels for rapid calculation of full-stack performance.

Dynamic modelling provides facilities for control system design, analysing temperature dynamics on change in power demand, and modelling and optimising start-up and other operations.

Optimisation capabilities make it possible to determine optimal platinum load and trade-offs between stack size and power output.

A key use of the high-fidelity cell and stack models is to provide a framework for interpreting experimental data and estimating key model parameters using model-based mathematical techniques.

Process Systems Enterprise

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