Title

Clustering-based performance optimization of the boiler-turbine system

Document Type

Article

Peer Reviewed

1

Publication Date

1-1-2008

Journal/Book/Conference Title

IEEE Transactions on Energy Conversion

Abstract

In this paper, two optimization models for improvement of the boiler-turbine system performance are formulated. The models are constructed using a data-mining approach. Historical process data is clustered and the discovered patterns are selected for performance improvement of the boiler-turbine system. The first model optimizes a widely used performance index, the unit heat rate. The second model minimizes the total fuel consumption while meeting the electricity demand. The strengths and weaknesses of the two models are discussed. An industrial case study illustrates the concepts presented in the paper. 2008 IEEE.

Keywords

Sustainability

Published Article/Book Citation

IEEE Transactions on Energy Conversion, 23:2 (2008) pp.651-658.

This document is currently not available here.

Share

COinS
 

URL

https://ir.uiowa.edu/mie_pubs/26