Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion
Joint Authors
Zheng, Song
Wang, Chunlin
Liu, Yang
Everson, Richard M.
Rahat, A. A. M.
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Recently, Gaussian Process (GP) has attracted generous attention from industry.
This article focuses on the application of coal fired boiler combustion and uses GP to design a strategy for reducing Unburned Carbon Content in Fly Ash (UCC-FA) which is the most important indicator of boiler combustion efficiency.
With getting rid of the complicated physical mechanisms, building a data-driven model as GP is an effective way for the proposed issue.
Firstly, GP is used to model the relationship between the UCC-FA and boiler combustion operation parameters.
The hyperparameters of GP model are optimized via Genetic Algorithm (GA).
Then, served as the objective of another GA framework, the predicted UCC-FA from GP model is utilized in searching the optimal operation plan for the boiler combustion.
Based on 670 sets of real data from a high capacity tangentially fired boiler, two GP models with 21 and 13 inputs, respectively, are developed.
In the experimental results, the model with 21 inputs provides better prediction performance than that of the other.
Choosing the results from 21-input model, the UCC-FA decreases from 2.7% to 1.7% via optimizing some of the operational parameters, which is a reasonable achievement for the boiler combustion.
American Psychological Association (APA)
Wang, Chunlin& Liu, Yang& Everson, Richard M.& Rahat, A. A. M.& Zheng, Song. 2017. Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1191251
Modern Language Association (MLA)
Wang, Chunlin…[et al.]. Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion. Mathematical Problems in Engineering No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1191251
American Medical Association (AMA)
Wang, Chunlin& Liu, Yang& Everson, Richard M.& Rahat, A. A. M.& Zheng, Song. Applied Gaussian Process in Optimizing Unburned Carbon Content in Fly Ash for Boiler Combustion. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1191251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191251