THERMAL SCIENCE

International Scientific Journal

Chao Chen

,

Jinhong Mao

,

Xinzhi Liu

,

Shan Tian

,

Lijun Song

MODELLING AND COMBUSTION OPTIMIZATION OF COAL-FIRED HEATING BOILER BASED ON THERMAL NETWORK

ABSTRACT
Based on the thermal network and the MATLartificial intelligence toolkit, a combustion optimization hybrid modelling of a 300 MW coal-fired power station boiler is carried out. The boiler is optimized for combustion, and the weight co­efficient method is used to convert the multi-objective optimization problem into a single-objective optimization problem. The results show that the relative error average absolute value of the boiler thermal efficiency and NOx emission mass concentration calibration samples are 0.142% and 1.790%, the model has good accuracy and generalization ability. The weight coefficient method can select the corresponding weight coefficient according to the actual situation, with the boiler thermal efficiency or NOx emission mass concentration as the optimization focus, which has certain guiding significance for combustion optimization.
KEYWORDS
power station boiler, thermal network, combustion optimization, NOx emissions, heating modelling, multi-objective optimization
PAPER SUBMITTED: 2020-12-16
PAPER REVISED: 2021-01-20
PAPER ACCEPTED: 2021-02-04
PUBLISHED ONLINE: 2021-07-31
DOI REFERENCE: https://doi.org/10.2298/TSCI2104133C
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 4, PAGES [3133 - 3140]
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Modelling and combustion optimization of coal-fired heating boiler based on thermal network

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence