Prediction of tube temperature distribution of boiler platen superheater by a coupled combustion and hydrodynamic model

Donghao Jin, Jingwen Yan, Xin Liu, Chaoqun Zhang and Heyang Wang

Energy, 2023, vol. 279, issue C

Abstract: The platen superheater of boiler is prone to tube overheating in comparison to other boiler heating surfaces. The resultant tube failures seriously affect the safe operation of boilers. The tube temperature of boiler is determined by the “heating” of the gas flow in the furnace and the “cooling” of the steam flow in the tubes. In order to incorporate the effects of both the gas and steam flows of boiler on tube temperature, this paper presented a coupled combustion and hydrodynamic model in which the gas flow in the furnace is simulated by a three-dimensional CFD model while the steam flow in the tubes is simulated by a one-dimensional hydrodynamic model. The two models are coupled by iteratively exchanging the data of boiler gas heat flux and steam temperature. This coupled model was applied to predict the tube temperature distributions of the platen superheater of a 600 MW boiler and investigate the effects of boiler load and superheater design on the tube temperature and overheated tube areas. The results showed close agreement with the measured values and incorporated the critical effects of both the gas thermal deviation and steam flow maldistribution on the tube overheating of the platen superheater.

Keywords: Boiler; Tube overheating; Tube temperature; Platen superheater; Coupled model; Steam flow maldistribution (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544223015104
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:279:y:2023:i:c:s0360544223015104

DOI: 10.1016/j.energy.2023.128116

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().