Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions

© 2016 IEEE. In this paper, a mathematical modeling of the flue gas path system with closed-loop controller for wet desulfurization with lime in Mae Moh coal power plant, Thailand is presented. The modeling using various polynomial structures and the parameter identification of the plant, the contro...

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Main Authors: Tongbarn T., Kaewkham-Ai B., Uthaichana K.
Format: Conference Proceeding
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979538938&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41794
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-417942017-09-28T04:23:26Z Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions Tongbarn T. Kaewkham-Ai B. Uthaichana K. © 2016 IEEE. In this paper, a mathematical modeling of the flue gas path system with closed-loop controller for wet desulfurization with lime in Mae Moh coal power plant, Thailand is presented. The modeling using various polynomial structures and the parameter identification of the plant, the controller and the sensor are performed with the emphasis on the plant. Since the goal is to predict the operating condition where the system is tripped and causing the disruption in electricity generation of the plant, the validation of the model is demonstrated against the hard conditions, where rapid changes of system load causing the system tripped events occurred. Due to the limitation on the existing data acquisition system causing the low resolution on the quality of the collected data, two data treatment processes are introduced and compared, i.e., the linear interpolation with delay and the Piecewise Cubic Hermits Interpolating Polynomial (PCHIP) technique for the best performance selection. The model parameters are estimated and compared based on a least squares criteria. The controller is configured based on the adapted PI controller of the actual system. The performance of proposed system models are given in terms of root-mean-square error (RMSE). Based on the simulation results, it is found that the 2nd-order polynomial model with linear interpolation with delay is the most promising and delivers us the satisfactory performance under both normal load changing and during the tripped event. 2017-09-28T04:23:26Z 2017-09-28T04:23:26Z 2016-06-27 Conference Proceeding 2-s2.0-84979538938 10.1109/AQTR.2016.7501324 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979538938&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/41794
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description © 2016 IEEE. In this paper, a mathematical modeling of the flue gas path system with closed-loop controller for wet desulfurization with lime in Mae Moh coal power plant, Thailand is presented. The modeling using various polynomial structures and the parameter identification of the plant, the controller and the sensor are performed with the emphasis on the plant. Since the goal is to predict the operating condition where the system is tripped and causing the disruption in electricity generation of the plant, the validation of the model is demonstrated against the hard conditions, where rapid changes of system load causing the system tripped events occurred. Due to the limitation on the existing data acquisition system causing the low resolution on the quality of the collected data, two data treatment processes are introduced and compared, i.e., the linear interpolation with delay and the Piecewise Cubic Hermits Interpolating Polynomial (PCHIP) technique for the best performance selection. The model parameters are estimated and compared based on a least squares criteria. The controller is configured based on the adapted PI controller of the actual system. The performance of proposed system models are given in terms of root-mean-square error (RMSE). Based on the simulation results, it is found that the 2nd-order polynomial model with linear interpolation with delay is the most promising and delivers us the satisfactory performance under both normal load changing and during the tripped event.
format Conference Proceeding
author Tongbarn T.
Kaewkham-Ai B.
Uthaichana K.
spellingShingle Tongbarn T.
Kaewkham-Ai B.
Uthaichana K.
Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
author_facet Tongbarn T.
Kaewkham-Ai B.
Uthaichana K.
author_sort Tongbarn T.
title Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
title_short Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
title_full Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
title_fullStr Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
title_full_unstemmed Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
title_sort modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions
publishDate 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979538938&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/41794
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