Subspace System Identification for CO2 Recovery Processes

Ricardo Dunia; Gary T. Rochelle; S. Joe Qin

doi:10.1109/CACSD.2011.6044559

Subspace System Identification for CO₂ Recovery Processes

Ricardo Dunia
, Gary T. Rochelle
, S. Joe Qin

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

The development of amine scrubbing for coal and natural gas-fired power plants represents a key technology to reduce CO₂ emissions. Among the strategies required to maximize CO₂ capture during plant operations is the design of tailor-made dynamic models for optimal control. This paper presents a novel application of subspace system identification to a CO₂ recovery plant, where major decision variables are considered to develop a simple state space model that can estimate more than sixty process outputs. This model demonstrates to have a great predictive potential, which opens opportunities for the implementation of robust predictive controllers that can quickly adjust to power plant load changes. © 2011 IEEE.

Original language	English
Title of host publication	2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD)
Publisher	IEEE
Pages	846-851
ISBN (Electronic)	9781457710674
ISBN (Print)	9781457710667
DOIs	https://doi.org/10.1109/CACSD.2011.6044559
Publication status	Published - Sept 2011
Externally published	Yes
Event	1st Joint Symposium on Computer-Aided Control System Design (CACSD 2011) and Systems with Uncertainty (SU 2011) - Denver, CO, United States Duration: 28 Sept 2011 → 30 Sept 2011

Publication series

Name	Proceedings of the IEEE International Symposium on Computer-Aided Control System Design
ISSN (Print)	2165-3011
ISSN (Electronic)	2165-302X

Conference

Conference	1st Joint Symposium on Computer-Aided Control System Design (CACSD 2011) and Systems with Uncertainty (SU 2011)
Abbreviated title	CACSD-SU 2011
Place	United States
City	Denver, CO
Period	28/09/11 → 30/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1109/CACSD.2011.6044559

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Cite this

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title = "Subspace System Identification for CO2 Recovery Processes",

abstract = "The development of amine scrubbing for coal and natural gas-fired power plants represents a key technology to reduce CO2 emissions. Among the strategies required to maximize CO2 capture during plant operations is the design of tailor-made dynamic models for optimal control. This paper presents a novel application of subspace system identification to a CO2 recovery plant, where major decision variables are considered to develop a simple state space model that can estimate more than sixty process outputs. This model demonstrates to have a great predictive potential, which opens opportunities for the implementation of robust predictive controllers that can quickly adjust to power plant load changes. {\textcopyright} 2011 IEEE.",

author = "Ricardo Dunia and Rochelle, \{Gary T.\} and Qin, \{S. Joe\}",

year = "2011",

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language = "English",

isbn = "9781457710667",

series = "Proceedings of the IEEE International Symposium on Computer-Aided Control System Design",

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booktitle = "2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD)",

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note = "1st Joint Symposium on Computer-Aided Control System Design (CACSD 2011) and Systems with Uncertainty (SU 2011), CACSD-SU 2011 ; Conference date: 28-09-2011 Through 30-09-2011",

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Dunia, R, Rochelle, GT & Qin, SJ 2011, Subspace System Identification for CO₂ Recovery Processes. in 2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD)., 6044559, Proceedings of the IEEE International Symposium on Computer-Aided Control System Design, IEEE, pp. 846-851, 1st Joint Symposium on Computer-Aided Control System Design (CACSD 2011) and Systems with Uncertainty (SU 2011), Denver, CO, United States, 28/09/11. https://doi.org/10.1109/CACSD.2011.6044559

Subspace System Identification for CO₂ Recovery Processes. / Dunia, Ricardo; Rochelle, Gary T.; Qin, S. Joe.
2011 IEEE International Symposium on Computer-Aided Control System Design (CACSD). IEEE, 2011. p. 846-851 6044559 (Proceedings of the IEEE International Symposium on Computer-Aided Control System Design).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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AB - The development of amine scrubbing for coal and natural gas-fired power plants represents a key technology to reduce CO2 emissions. Among the strategies required to maximize CO2 capture during plant operations is the design of tailor-made dynamic models for optimal control. This paper presents a novel application of subspace system identification to a CO2 recovery plant, where major decision variables are considered to develop a simple state space model that can estimate more than sixty process outputs. This model demonstrates to have a great predictive potential, which opens opportunities for the implementation of robust predictive controllers that can quickly adjust to power plant load changes. © 2011 IEEE.

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