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Coupled Thermal and Water Management in Polymer Electrolyte Fuel Cells

doi: 10.1149/1.2352039
Thermal and water management are intricately coupled in polymer-electrolyte fuel cells. In this paper, we simulate fuel-cell performance and account for nonisothermal phenomena. The transport of water due to a temperature gradient and its associated effects on performance are described, with the increase of reactant dilution by the water-vapor partial pressure being the most dominant. In addition, simulations are undergone to find the optimum operating temperature and maximum power density as a function of external heat-transfer coefficient. The shape of the optimization curves and the magnitudes of the nonisothermal phenomena are also detailed and explained.
- University of North Texas United States
- Lawrence Berkeley National Laboratory United States
- Lawrence Berkeley National Laboratory United States
- University of California, Berkeley United States
- University of North Texas United States
Power Density, Optimization, Energy storage, Partial Pressure, Performance, Temperature Gradients, Shape, Water, Transport, 25, Dilution, Heat Transfer, Management, Environmental Energy Technologies, Water Vapor, Fuel Cells
Power Density, Optimization, Energy storage, Partial Pressure, Performance, Temperature Gradients, Shape, Water, Transport, 25, Dilution, Heat Transfer, Management, Environmental Energy Technologies, Water Vapor, Fuel Cells
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).218 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
