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

3 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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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.",
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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

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AU - Pianese, Cesare

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