http://www.cnr.it/ontology/cnr/individuo/prodotto/ID55368
Computer aided fuel cell design and scale-up, comparison between model and experimental results (Articolo in rivista)
- Type
- Label
- Computer aided fuel cell design and scale-up, comparison between model and experimental results (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/s10800-006-9206-z (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Squadrito G. ; Barbera O. ; Giacoppo G. ; Urbani F. ;Passalacqua E. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopu (literal)
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto di Tecnologie Avanzate per l'Energia \"Nicola Giordano\" (literal)
- Titolo
- Computer aided fuel cell design and scale-up, comparison between model and experimental results (literal)
- Abstract
- The present work illustrates the employment of an Automatic Scale-up Algorithm (ASA) to design a 200 cm2 multiple serpentine (MS) flow field for a Polymer Electrolyte Fuel Cell (PEFC).With a fixed fuel cell active area and total pressure drop, the algorithm provides the flow-field design solution characterized by a specific set of
parameters including channel width, rib width, channel height, covering factor, number of switchbacks, Reynolds number and pressure drop. It is known that a correlation exists between the mass flow passing through the electrode and the pressure drop, influencing the fuel cell performance. A pressure drop range from 5 to 45 kPa with steps of 5 kPa has been investigated. Numerical simulations performed on each geometry set have permitted a comparison of the flow-field total pressure drop with the analytical compressible calculation, and to evaluate the mass flow rate passing through the electrode and in the flow field channels separately. A comparison between ASA and CFD results has highlighted that the methodology is able to find a flow-field geometry that matches target geometrical and fluid dynamic requirements. A better agreement between the Automatic Scale-up Algorithm and direct CFD pressure drop calculation has been obtained taking into account the gas compressibility effects. The increase of the mass flow rate vs flow-field total pressure drop is also reported. A better understanding of the gas shorting phenomenon has been achieved by CFD post-processing, in terms of gas velocity profiles and pressure drop between adjacent channels. Since the gas shorting is a pressure driven effect, the total mass flow rate percentage passing through the porous backing has been related to the shorting velocity and geometrical parameters of the porous backing; moreover proportionality between ''shorting'' pressure drop and ratio of flow field total pressure drop and switchback number has been highlighted. (literal)
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