Stack temperature estimation in system environment by utilizing the design of experiments methodology

Matias Halinen; Antti Pohjoranta; Jari Pennanen; Jari Kiviaho

doi:10.1149/05701.0205ecst

Stack temperature estimation in system environment by utilizing the design of experiments methodology

Matias Halinen
, Antti Pohjoranta
, Jari Pennanen
, Jari Kiviaho

Research output: Contribution to journal › Article › Scientific › peer-review

6 Citations (Scopus)

Abstract

The behavior of the maximum temperature measured inside a SOFC stack with respect to three independent input variables (stack current, air flow and air inlet temperature) is examined by using a full factorial screening experiment, following the design of experiments methodology. The experiments were carried out with a complete 10 kWe SOFC system. Multivariate regression models are developed to estimate said temperatures and a statistical analysis is carried out on the model parameters.

Original language	English
Pages (from-to)	205-214
Journal	ECS Transactions
Volume	57
Issue number	1
DOIs	https://doi.org/10.1149/05701.0205ecst
Publication status	Published - 2013
MoE publication type	A1 Journal article-refereed
Event	13th International Symposium on Solid Oxide Fuel Cells, SOFC-XIII - Okinawa, Japan Duration: 6 Oct 2013 → 11 Oct 2013 Conference number: 13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1149/05701.0205ecst

Cite this

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title = "Stack temperature estimation in system environment by utilizing the design of experiments methodology",

abstract = "The behavior of the maximum temperature measured inside a SOFC stack with respect to three independent input variables (stack current, air flow and air inlet temperature) is examined by using a full factorial screening experiment, following the design of experiments methodology. The experiments were carried out with a complete 10 kWe SOFC system. Multivariate regression models are developed to estimate said temperatures and a statistical analysis is carried out on the model parameters.",

author = "Matias Halinen and Antti Pohjoranta and Jari Pennanen and Jari Kiviaho",

note = "Project code: 78850; 13th International Symposium on Solid Oxide Fuel Cells, SOFC-XIII, SOFC-XIII ; Conference date: 06-10-2013 Through 11-10-2013",

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AU - Halinen, Matias

AU - Pohjoranta, Antti

AU - Pennanen, Jari

AU - Kiviaho, Jari

N1 - Conference code: 13

PY - 2013

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N2 - The behavior of the maximum temperature measured inside a SOFC stack with respect to three independent input variables (stack current, air flow and air inlet temperature) is examined by using a full factorial screening experiment, following the design of experiments methodology. The experiments were carried out with a complete 10 kWe SOFC system. Multivariate regression models are developed to estimate said temperatures and a statistical analysis is carried out on the model parameters.

AB - The behavior of the maximum temperature measured inside a SOFC stack with respect to three independent input variables (stack current, air flow and air inlet temperature) is examined by using a full factorial screening experiment, following the design of experiments methodology. The experiments were carried out with a complete 10 kWe SOFC system. Multivariate regression models are developed to estimate said temperatures and a statistical analysis is carried out on the model parameters.

U2 - 10.1149/05701.0205ecst

DO - 10.1149/05701.0205ecst

M3 - Article

SN - 1938-5862

VL - 57

SP - 205

EP - 214

JO - ECS Transactions

JF - ECS Transactions

IS - 1

T2 - 13th International Symposium on Solid Oxide Fuel Cells, SOFC-XIII

Y2 - 6 October 2013 through 11 October 2013

ER -

Stack temperature estimation in system environment by utilizing the design of experiments methodology

Abstract

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