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...
Saved in:
Main Authors: | , , |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979538938&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55518 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
id |
th-cmuir.6653943832-55518 |
---|---|
record_format |
dspace |
spelling |
th-cmuir.6653943832-555182018-09-05T03:00:44Z Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions Teerayuth Tongbarn Boonsri Kaewkham-Ai Kasemsak Uthaichana Computer Science Engineering © 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. 2018-09-05T02:57:27Z 2018-09-05T02:57:27Z 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/6653943832/55518 |
institution |
Chiang Mai University |
building |
Chiang Mai University Library |
country |
Thailand |
collection |
CMU Intellectual Repository |
topic |
Computer Science Engineering |
spellingShingle |
Computer Science Engineering Teerayuth Tongbarn Boonsri Kaewkham-Ai Kasemsak Uthaichana Modeling of closed-loop flue gas path system for desulfurization in power plant under severe load changing conditions |
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 |
Teerayuth Tongbarn Boonsri Kaewkham-Ai Kasemsak Uthaichana |
author_facet |
Teerayuth Tongbarn Boonsri Kaewkham-Ai Kasemsak Uthaichana |
author_sort |
Teerayuth Tongbarn |
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 |
2018 |
url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84979538938&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/55518 |
_version_ |
1681424520656715776 |