Asymptotic analysis of anode relative humidity effects on the fastest voltage decay single cell in a stack. (15th May 2018)
- Record Type:
- Journal Article
- Title:
- Asymptotic analysis of anode relative humidity effects on the fastest voltage decay single cell in a stack. (15th May 2018)
- Main Title:
- Asymptotic analysis of anode relative humidity effects on the fastest voltage decay single cell in a stack
- Authors:
- Liu, Yongfeng
Wang, Na
Pei, Pucheng
Yao, Shengzhuo
Wang, Fang - Abstract:
- Abstract: An anode relative humidity (ARH) model is set up to analyze the effects of anode relative humidity on the fastest voltage decay single cell in a stack. In the ARH model, the saturation pressure related to relative humidity is established by anode pressure drop instead of using conventional empirical equation in Fluent model. First, a three dimensional (3D) model incorporating geometry and grids is established. Second, experiment is conducted including a 10-cell stack, single cell distribution and test schematic. Third, both experiment and simulation results are discussed in detail. Furthermore, for the fastest voltage decay single cell, a comparable analysis among ARH model, Fluent model and experiment is carried out at the different anode relative humidities (55%, 70%, 85% and 100%). The results show that FC10 (the furthest distance single cell from gas inlet) voltage decay is the fastest in the stack. ARH model applied to FC10 voltage decay shows good agreement with Fluent model and experiment. ARH model accuracy increases by 47% compared to Fluent model. And the error between ARH model and experiment is reduced to 3% at 350 mA/cm 2 for 100% anode relative humidity. FC10 species molar concentration distributions inside fuel cell in each case are non-uniform. Highlights: An Anode relative humidity (ARH) model as a novel model is proposed. The ARH model considers on pressure drop and saturation pressure. FC10 (the single cell with the fastest voltage decay) isAbstract: An anode relative humidity (ARH) model is set up to analyze the effects of anode relative humidity on the fastest voltage decay single cell in a stack. In the ARH model, the saturation pressure related to relative humidity is established by anode pressure drop instead of using conventional empirical equation in Fluent model. First, a three dimensional (3D) model incorporating geometry and grids is established. Second, experiment is conducted including a 10-cell stack, single cell distribution and test schematic. Third, both experiment and simulation results are discussed in detail. Furthermore, for the fastest voltage decay single cell, a comparable analysis among ARH model, Fluent model and experiment is carried out at the different anode relative humidities (55%, 70%, 85% and 100%). The results show that FC10 (the furthest distance single cell from gas inlet) voltage decay is the fastest in the stack. ARH model applied to FC10 voltage decay shows good agreement with Fluent model and experiment. ARH model accuracy increases by 47% compared to Fluent model. And the error between ARH model and experiment is reduced to 3% at 350 mA/cm 2 for 100% anode relative humidity. FC10 species molar concentration distributions inside fuel cell in each case are non-uniform. Highlights: An Anode relative humidity (ARH) model as a novel model is proposed. The ARH model considers on pressure drop and saturation pressure. FC10 (the single cell with the fastest voltage decay) is selected by experiment. FC10 is calculated by ARH model and the contours of species distribution are given. ARH model accuracy increases by 47% compared to Fluent model at 100% anode humidity. … (more)
- Is Part Of:
- Energy. Volume 151(2018)
- Journal:
- Energy
- Issue:
- Volume 151(2018)
- Issue Display:
- Volume 151, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 151
- Issue:
- 2018
- Issue Sort Value:
- 2018-0151-2018-0000
- Page Start:
- 490
- Page End:
- 500
- Publication Date:
- 2018-05-15
- Subjects:
- PEM fuel cell -- Anode relative humidity -- Voltage decay -- Simulation
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2018.03.071 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11484.xml