2023
DOI: 10.3390/en16062578
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Analysis of Surrogate Models for Vapour Transport and Distribution in a Hollow Fibre Membrane Humidifier

Abstract: To achieve high efficiency and low degradation of a polymer electrolyte fuel cell (PEMFC), it is necessary to maintain an appropriate level of humidification in the fuel cell membrane. Thus, membrane humidifiers are typically used in PEMFC systems. Parameter studies are important to evaluate membrane humidifiers under various operating conditions to reduce the amount of physical tests. However, simulative studies are computationally expensive when using detailed models. To reduce the computational cost, surrog… Show more

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Cited by 2 publications
(8 citation statements)
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“…Adopted from (Pollak et al 2023) investigated humidifier is available from the company Fumatech (FUMATECH BWT GmbH 2019) and was investigated using a CFD model and simulation in a previous study (Pollak et al 2023). The material of the hollow fiber membranes is undisclosed by the manufacturer (Pollak et al 2023). The relevant geometrical data of the fibers and the housing are given in Table 1.…”
Section: Description Of the Hollow Fiber Membrane Humidifiermentioning
confidence: 99%
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“…Adopted from (Pollak et al 2023) investigated humidifier is available from the company Fumatech (FUMATECH BWT GmbH 2019) and was investigated using a CFD model and simulation in a previous study (Pollak et al 2023). The material of the hollow fiber membranes is undisclosed by the manufacturer (Pollak et al 2023). The relevant geometrical data of the fibers and the housing are given in Table 1.…”
Section: Description Of the Hollow Fiber Membrane Humidifiermentioning
confidence: 99%
“…Since the membrane permeability is not disclosed by the manufacturer it is considered to be a calibration parameter of the humidifier model that must be identified by a calibration process using the measurement data. This calibration result is than compared to a fitting result of a previous study that used a CFD model (Pollak et al 2023).…”
Section: Inputs and Parametersmentioning
confidence: 99%
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