Model order reduction by proper orthogonal decomposition for a 500 MWe tangentially fired pulverized coal boiler

Model order reduction by proper orthogonal decomposition for a 500 MWe tangentially fired pulverized coal boiler

Reduced order models (ROMs) are constructed by proper orthogonal decomposition (POD) and regression by Kriging and Radial Basis Neural Network (RBFN) for a 500 MWe tangentially fired pulverized coal boiler. POD is performed to extract low-dimensional basis vectors to reproduce 3-D distribution of re...

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Bibliographic Details
Main Authors: Woojin Lee, Kwonwoo Jang, Woojoo Han, Kang Y. Huh
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Case Studies in Thermal Engineering
Subjects:
Reduced-order model
Tangentially fired boiler
Coal combustion
Proper orthogonal decomposition
Kriging
RBF Neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X21005773

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http://www.sciencedirect.com/science/article/pii/S2214157X21005773

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