Online gas composition estimation in solid oxide fuel cell systems with anode off-gas recycle configuration

Bostjan Dolenc (Corresponding Author), Darko Vrecko, Darko Juricic, Antti Pohjoranta, Cesare Pianese

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)

    Abstract

    Degradation and poisoning of solid oxide fuel cell (SOFC) stacks are continuously shortening the lifespan of SOFC systems. Poisoning mechanisms, such as carbon deposition, form a coating layer, hence rapidly decreasing the efficiency of the fuel cells. Gas composition of inlet gases is known to have great impact on the rate of coke formation. Therefore, monitoring of these variables can be of great benefit for overall management of SOFCs. Although measuring the gas composition of the gas stream is feasible, it is too costly for commercial applications. This paper proposes three distinct approaches for the design of gas composition estimators of an SOFC system in anode off-gas recycle configuration which are (i.) accurate, and (ii.) easy to implement on a programmable logic controller. Firstly, a classical approach is briefly revisited and problems related to implementation complexity are discussed. Secondly, the model is simplified and adapted for easy implementation. Further, an alternative data-driven approach for gas composition estimation is developed. Finally, a hybrid estimator employing experimental data and 1st-principles is proposed. Despite the structural simplicity of the estimators, the experimental validation shows a high precision for all of the approaches. Experimental validation is performed on a 10 kW SOFC system.
    Original languageEnglish
    Pages (from-to)246-253
    Number of pages8
    JournalJournal of Power Sources
    Volume343
    DOIs
    Publication statusPublished - 1 Jan 2017
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    gas composition
    solid oxide fuel cells
    Solid oxide fuel cells (SOFC)
    Anodes
    anodes
    Gases
    estimators
    poisoning
    configurations
    Chemical analysis
    gases
    gas streams
    coke
    fuel cells
    logic
    controllers
    degradation
    coatings
    Programmable logic controllers
    carbon

    Keywords

    • data-driven approach
    • gas composition estimation
    • hybrid approach
    • solid oxide fuel cell systems
    • stoichiometric approach
    • Hybrid approach

    Cite this

    Dolenc, Bostjan ; Vrecko, Darko ; Juricic, Darko ; Pohjoranta, Antti ; Pianese, Cesare. / Online gas composition estimation in solid oxide fuel cell systems with anode off-gas recycle configuration. In: Journal of Power Sources. 2017 ; Vol. 343. pp. 246-253.
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    title = "Online gas composition estimation in solid oxide fuel cell systems with anode off-gas recycle configuration",
    abstract = "Degradation and poisoning of solid oxide fuel cell (SOFC) stacks are continuously shortening the lifespan of SOFC systems. Poisoning mechanisms, such as carbon deposition, form a coating layer, hence rapidly decreasing the efficiency of the fuel cells. Gas composition of inlet gases is known to have great impact on the rate of coke formation. Therefore, monitoring of these variables can be of great benefit for overall management of SOFCs. Although measuring the gas composition of the gas stream is feasible, it is too costly for commercial applications. This paper proposes three distinct approaches for the design of gas composition estimators of an SOFC system in anode off-gas recycle configuration which are (i.) accurate, and (ii.) easy to implement on a programmable logic controller. Firstly, a classical approach is briefly revisited and problems related to implementation complexity are discussed. Secondly, the model is simplified and adapted for easy implementation. Further, an alternative data-driven approach for gas composition estimation is developed. Finally, a hybrid estimator employing experimental data and 1st-principles is proposed. Despite the structural simplicity of the estimators, the experimental validation shows a high precision for all of the approaches. Experimental validation is performed on a 10 kW SOFC system.",
    keywords = "data-driven approach, gas composition estimation, hybrid approach, solid oxide fuel cell systems, stoichiometric approach, Hybrid approach",
    author = "Bostjan Dolenc and Darko Vrecko and Darko Juricic and Antti Pohjoranta and Cesare Pianese",
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    Online gas composition estimation in solid oxide fuel cell systems with anode off-gas recycle configuration. / Dolenc, Bostjan (Corresponding Author); Vrecko, Darko; Juricic, Darko; Pohjoranta, Antti; Pianese, Cesare.

    In: Journal of Power Sources, Vol. 343, 01.01.2017, p. 246-253.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Online gas composition estimation in solid oxide fuel cell systems with anode off-gas recycle configuration

    AU - Dolenc, Bostjan

    AU - Vrecko, Darko

    AU - Juricic, Darko

    AU - Pohjoranta, Antti

    AU - Pianese, Cesare

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    N2 - Degradation and poisoning of solid oxide fuel cell (SOFC) stacks are continuously shortening the lifespan of SOFC systems. Poisoning mechanisms, such as carbon deposition, form a coating layer, hence rapidly decreasing the efficiency of the fuel cells. Gas composition of inlet gases is known to have great impact on the rate of coke formation. Therefore, monitoring of these variables can be of great benefit for overall management of SOFCs. Although measuring the gas composition of the gas stream is feasible, it is too costly for commercial applications. This paper proposes three distinct approaches for the design of gas composition estimators of an SOFC system in anode off-gas recycle configuration which are (i.) accurate, and (ii.) easy to implement on a programmable logic controller. Firstly, a classical approach is briefly revisited and problems related to implementation complexity are discussed. Secondly, the model is simplified and adapted for easy implementation. Further, an alternative data-driven approach for gas composition estimation is developed. Finally, a hybrid estimator employing experimental data and 1st-principles is proposed. Despite the structural simplicity of the estimators, the experimental validation shows a high precision for all of the approaches. Experimental validation is performed on a 10 kW SOFC system.

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