State Estimation for the Absorption Column of PCC Plants Using the Extended Kalman Filtering

Siyu Liu*, Yonghua Jiang*, Xiao Zhang, Feiyan Chen

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Post-combustion CO2 capture (PCC) plants stand as pivotal technologies for mitigating carbon emissions. The estimation and control of PCC pose significant challenges due to the large-scale and intricate nonlinear dynamics of the plants. This study focuses on state estimation for the absorption column of a typical PCC plant, where the column is discretized along its axial position. An extended Kalman filtering is designed to estimate the state across the entire column. Comprehensive simulation results illustrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 16th International Conference on Modelling, Identification and Control, ICMIC 2024
EditorsQiang Chen, Tingli Su, Peng Liu, Weicun Zhang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages209-215
Number of pages7
ISBN (Print)9789819617760
DOIs
Publication statusPublished - 2025
Event16th International Conference on Modelling, Identification and Control, ICMIC 2024 - Datong, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1315 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference16th International Conference on Modelling, Identification and Control, ICMIC 2024
Country/TerritoryChina
CityDatong
Period9/08/2411/08/24

Keywords

  • extended Kalman filtering
  • post-combustion carbon capture plant
  • state estimation

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