Evaluation of High Efficiency Operating Rules for Grate-Fired Boilers

Tomasz Janiuk , Paweł Domański

Abstract

Synthesis of control rules (extraction of knowledge) from historical data may be used for optimal control of the pulverized coal boiler, however it appears to be quite a difficult task. The best effects, allowing fast design and reliable tuning, might be obtained through comprehensive approach with use of all available sources of information. Presented methodology covers one aspect: knowledge extraction through analysis of process operational historical data. Proposed methodology is specifically developed for the task: synthesis of the control rules and conditions for improvement of the combustion process efficiency based on the historical. The approach is stepwise. It starts from the historical data acquisition, followed by the efficiency calculations, data processing. The methodology ends with evaluation of the control rules that may suggest boiler operators optimal operation. This approach copes with several practical problems met during daily boiler operation. Proposed algorithm uses original combination of heuristics, polynomial approximation and data clustering to find patterns in scattered data allowing to assign operational rules to meet the goals. The approach is validated on the real data from the industrial grate boiler.
Author Tomasz Janiuk (FEIT / AK)
Tomasz Janiuk,,
- The Institute of Control and Computation Engineering
, Paweł Domański (FEIT / AK)
Paweł Domański,,
- The Institute of Control and Computation Engineering
Pages257-266
Publication size in sheets0.5
Book Szewczyk Roman, Kaliczyńska Małgorzata, Zieliński Cezary: Challenges in Automation, Robotics and Measurement Techniques. Proceedings of AUTOMATION-2016, March 2-4, 2016, Warsaw, Poland, Advances in Intelligent Systems and Computing, vol. 440, 2016, Springer International Publishing, ISBN 978-3-319-29356-1, [978-3-319-29357-8], 919 p., DOI:10.1007/978-3-319-29357-8
Keywords in EnglishGrate boilers Combustion efficiency Rule-based control Data clustering
DOIDOI:10.1007/978-3-319-29357-8_23
URL http://link.springer.com/chapter/10.1007/978-3-319-29357-8_23
ProjectDevelopment of methodology of control, decision support and production management. Project leader: Zieliński Cezary, , Phone: 5102, start date 19-05-2015, end date 31-12-2016, 504/02233/1031, Completed
WEiTI Działalność statutowa
Languageen angielski
File
janiuk domanski automation_2016.pdf 470.79 KB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 02-02-2020, BookChapterSeriesAndMatConfByConferenceseries
Ministerial score (2013-2016) = 15.0, 02-02-2020, BookChapterSeriesAndMatConfByConferenceseries
Publication indicators Scopus Citations = 0; WoS Citations = 0
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