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Fuel Cells
Article . 2020 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Fuel Cells
Article
License: CC BY
Data sources: UnpayWall
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45% Cell Efficiency in DMFCs via Process Engineering

Authors: Detlef Stolten; Detlef Stolten; Andreas Glüsen; Martin Müller;

45% Cell Efficiency in DMFCs via Process Engineering

Abstract

AbstractMethanol is a convenient liquid fuel for fuel cells, but is not converted as efficiently into electrical energy as hydrogen. This is due to the slower reaction of methanol at the anode as well as to methanol permeation.When optimizing the direct methanol fuel cell (DMFC) process, methanol concentration and flow rate, current density and air flow rate must also be taken into account. A high methanol concentration facilitates dynamic operation up to high current densities, but also leads to high methanol permeation. The air flow rate must be adjusted so that the cooling effect of evaporating water is balanced by the heat produced in the cell. Therefore, a cell with low permeation must be operated at low air flow rates to achieve autothermal operation at elevated temperatures, which can in turn reduce cell performance. For each current density, there is an optimum amount of methanol feed.In this paper, we show how these effects have to be balanced using air‐flow rates calculated to ensure thermal equilibrium. It is possible to achieve electrical cell efficiencies of up to 44% in a self‐heating DMFC. Another small increase in efficiency can be achieved by using humidified air at the cathode.

Country
Germany
Keywords

info:eu-repo/classification/ddc/620, 620

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    Top 10%
    influence
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
hybrid