A lumped dynamic modelling approach for model-based control and diagnosis of solid oxide fuel cell system with anode off-gas recycling

D. Marra, M. Sorrentino, A. Pohjoranta, C. Pianese, J. Kiviaho

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)

Abstract

This work focuses on the identification and validation of a Solid Oxide Fuel Cell (SOFC) stack model that accounts for anode off-gas recycling (AOGR) inclusion. A lumped dynamic modelling approach is adopted to simulate temperature and gas composition at the stack anode outlet. The model is able to simulate the dynamic response of the stack during transients. Experimental data from a real SOFC system are used in model validation and the modeling approach adopted here ensures achieving a satisfactory compromise between estimation accuracy and computational burden. These factors support using the model as state estimator in model-based control and diagnosis algorithms.
Original languageEnglish
Pages (from-to)3095-3106
JournalECS Transactions
Volume68
Issue number1
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

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Solid oxide fuel cells (SOFC)
Recycling
Anodes
Gases
Dynamic response
Chemical analysis
Temperature

Cite this

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title = "A lumped dynamic modelling approach for model-based control and diagnosis of solid oxide fuel cell system with anode off-gas recycling",
abstract = "This work focuses on the identification and validation of a Solid Oxide Fuel Cell (SOFC) stack model that accounts for anode off-gas recycling (AOGR) inclusion. A lumped dynamic modelling approach is adopted to simulate temperature and gas composition at the stack anode outlet. The model is able to simulate the dynamic response of the stack during transients. Experimental data from a real SOFC system are used in model validation and the modeling approach adopted here ensures achieving a satisfactory compromise between estimation accuracy and computational burden. These factors support using the model as state estimator in model-based control and diagnosis algorithms.",
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A lumped dynamic modelling approach for model-based control and diagnosis of solid oxide fuel cell system with anode off-gas recycling. / Marra, D.; Sorrentino, M.; Pohjoranta, A.; Pianese, C.; Kiviaho, J.

In: ECS Transactions, Vol. 68, No. 1, 2015, p. 3095-3106.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A lumped dynamic modelling approach for model-based control and diagnosis of solid oxide fuel cell system with anode off-gas recycling

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AU - Sorrentino, M.

AU - Pohjoranta, A.

AU - Pianese, C.

AU - Kiviaho, J.

PY - 2015

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AB - This work focuses on the identification and validation of a Solid Oxide Fuel Cell (SOFC) stack model that accounts for anode off-gas recycling (AOGR) inclusion. A lumped dynamic modelling approach is adopted to simulate temperature and gas composition at the stack anode outlet. The model is able to simulate the dynamic response of the stack during transients. Experimental data from a real SOFC system are used in model validation and the modeling approach adopted here ensures achieving a satisfactory compromise between estimation accuracy and computational burden. These factors support using the model as state estimator in model-based control and diagnosis algorithms.

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DO - 10.1149/06801.3095ecst

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JO - ECS Transactions

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