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Prediction of the Remaining Service Life of Superheater and Reheater Tubes in Coal-Biomass Fired Power Plants

Asgaryan, Mohammad, Simms, Nigel, Wu, Shaomin (2014) Prediction of the Remaining Service Life of Superheater and Reheater Tubes in Coal-Biomass Fired Power Plants. Advanced Materials Research, 856 . pp. 343-348. ISSN 1662-8985. (doi:10.4028/www.scientific.net/AMR.856.343) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:37721)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.4028/www.scientific.net/AMR.8...

Abstract

Burning biomass in power plants is believed to result in severe fireside corrosion of superheater/reheater tubing and cause unexpected early failures of tubes. Morover, higher operating temeprtures and pressures (to increase the boiler efficiency) will also increase the risk of fireside and steamside oxidation damage to the boiler tubing and lead to shorter component lives. Predicting the remaining service life of superheater/reheater tubes in coal-biomass fired power plants is therefore an important aspect of managing such power plants. The path to this type of failure of tubes involves five processes: combustion, deposition, fireside corrosion, steam-side oxidation, and creep. To fully understand the impact of new fuel mixes and changing operating conditions on such failures, an integrated model of all of these processes is required. This work has produced an integrated set of models and so predicted the remaining life of tubes based on the conceptual and mathematical frameworks developed.

Item Type: Article
DOI/Identification number: 10.4028/www.scientific.net/AMR.856.343
Uncontrolled keywords: Coal-biomass, Model integration, Superheater/reheater tubes, Remaining service life
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Shaomin Wu
Date Deposited: 03 Jan 2014 21:20 UTC
Last Modified: 17 Aug 2022 10:56 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/37721 (The current URI for this page, for reference purposes)

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