LONDON--(BUSINESS WIRE)--Process Systems Enterprise (PSE), providers of the industry-leading gPROMS advanced process modelling suite, today launched the new gPROMS Fuel Cell product.

Aimed at companies bringing fuel cell technology – PEMFC, SOFC and others – to market, gPROMS Fuel Cell helps reduce time-to-market and optimise fuel stack and system design and operation through the application of high-fidelity predictive modelling.

Showcased at the recent FC Expo in Tokyo and already used within leading companies such as Toyota and Samsung, gPROMS Fuel Cell bundles high-fidelity models from PSE’s Advanced Model Library for Fuel Cells (AML:FC) within the powerful 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 complex technology.

gPROMS Fuel Cell makes it possible to address many key challenges effectively for the first time – for example to analyse and optimise aspects such 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

Zbigniew Urban, PSE CTO and technology leader for fuel cells, says “The complex interactions within the fuel cell itself and between stack and system – coupled with time-to-market pressures and the associated technology risk – make modelling an essential tool. There is no other way to address these issues comprehensively”.

gPROMS is widely used by large process industry companies in the oil & gas, chemicals and petrochemicals, power generation, clean energy, food & beverage, FMCG, pharmaceutical and other process sectors.

Information

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