Title

Combustion efficiency optimization and virtual testing: A data-mining approach

Document Type

Article

Peer Reviewed

1

Publication Date

1-1-2006

Journal/Book/Conference Title

IEEE Transactions on Industrial Informatics

Abstract

In this paper, a data-mining approach is applied to optimize combustion efficiency of a coal-fired boiler. The combustion process is complex, nonlinear, and nonstationary. A virtual testing procedure is developed to validate the results produced by the optimization methods. The developed procedure quantifies improvements in the combustion efficiency without performing live testing, which is expensive and time consuming. The ideas introduced in this paper are illustrated with an industrial case study. 2006 IEEE.

Keywords

Sustainability

Published Article/Book Citation

IEEE Transactions on Industrial Informatics, 2:3 (2006) pp.176-184.

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URL

https://ir.uiowa.edu/mie_pubs/27