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Applied Energy
Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes

Authors: Ming Chen; Ming Liu; Chaoyang Wang; Chaoyang Wang; Junjie Yan;

Dynamic modeling and parameter analysis study on reversible solid oxide cells during mode switching transient processes

Abstract

Abstract Reversible solid-oxide cells (SOCs) are a promising technology for mitigating the fluctuation of power from renewable sources. Mode switching between electrolysis and fuel cells occurs frequently and is necessary for an SOC stack. Herein, a dynamic SOC-stack model was developed and validated against experimental data. Subsequently, we extensively studied the stack temperature (Ts), voltage (Vs), and reversible efficiency ( η r e ) with different designing and operating parameters, including stack heat capacity (Cs), inlet hydrogen fraction ( x H 2 ), stack operational pressure (p), inlet work medium temperature (Tin), current density (I), and mode switching frequency (f). For an actual SOC plant, the stack may work in a nearly adiabatic environment. Our calculation results show that with x H 2 increasing from 0.2 to 0.6, the variation in ΔTs decreases by 25%, Vs increases by 10%, and ηre increases by 2.9%. With fourfold increasing in CS and p, ΔTs decreases by 75% and 25% and ηre increases by 0.47% and 1.8%, respectively, whereas, Vs is nearly unaffected. ΔTs and ΔVs almost proportionally increase with I. In relation to Tin or f, ΔTs is unaffected, ΔVs decreases, and ηre slightly increases. Overall, this work identified the most critical stack designing and operating factors affecting the transient behavior of an SOC stack during mode switching processes. The results can serve as guidelines for SOC-stack design and operation-strategy optimization.

Country
Denmark
Related Organizations
Keywords

Solid-oxide cell, Dynamic stack modeling, Mode switching operation, Energy storage, Transient operation, Reversible efficiency

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    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).
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    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 10%
    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 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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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!
36
Top 10%
Top 10%
Top 10%
Green
bronze