Combustion efficiency optimization by adjusting the amount of excess air

Author

Parsa, Mehdi ; Vahidian Kamyad, Ali ; Naghibi Sistani, Mohammad Bagher

Author_Institution

Dept. Of Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran

fYear

2014

fDate

10-11 June 2014

Firstpage

103

Lastpage

108

Abstract

Boiler combustion process in thermal power plants is important from both economic and environmental aspects. Boiler combustion system is a complex multi-input and multi-output plant with strong nonlinear and large time-delay. So adjusting the main controllable parameters based on model is difficult. power plant Distributed Control System (DCS) collect and save the boiler´s run-time data by numerous sensors. This large volume of data contains information of the boiler that can be analyzed with data-mining algorithms in order to optimize the combustion process. In this paper, a complete resolution strategy for combustion optimization based on fuzzy data mining is proposed and A virtual testing procedure is developed to validate the results produced by the optimization method.

Keywords

MIMO systems; boilers; combustion; data mining; delays; distributed control; fuzzy set theory; large-scale systems; nonlinear control systems; thermal power stations; boiler combustion process; combustion efficiency optimization; distributed control system; excess air adjustment; fuzzy data mining algorithm; multiinput mUltioutput plant; nonlinear time delay; thermal power plant DCS; virtual testing procedure; Analytical models; Atmospheric modeling; Fuels; Load modeling; Excess Air; boiler efficiency; data mining; fuzzy set; virtual test;

fLanguage

English

Publisher

ieee

Conference_Titel

Thermal Power Plants (CTPP), 2014 5th Conference on

Conference_Location

Tehran

Print_ISBN

978-1-4799-5649-4

Type

conf

DOI

10.1109/CTPP.2014.7040703

Filename

7040703