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

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › 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	Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design
Publisher	Institute of Electrical and Electronics Engineers
Pages	846-851
Number of pages	6
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, United States Duration: 28 Sept 2011 → 30 Sept 2011

Publication series

Name	Proceedings of the IEEE International Symposium on Computer-Aided Control System Design
Publisher	Institute of Electrical and Electronics Engineers
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)
Country/Territory	United States
City	Denver
Period	28/09/11 → 30/09/11

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10.1109/CACSD.2011.6044559

Cite this

DUNIA, R., ROCHELLE, G. T., & QIN, S. J. (2011). Subspace System Identification for CO2 Recovery Processes. In Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design (pp. 846-851). Article 6044559 (Proceedings of the IEEE International Symposium on Computer-Aided Control System Design). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CACSD.2011.6044559

@inproceedings{710e885ace5c49948f6c83cd1af9740e,

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",

month = sep,

doi = "10.1109/CACSD.2011.6044559",

language = "English",

isbn = "9781457710667",

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

publisher = "Institute of Electrical and Electronics Engineers",

pages = "846--851",

booktitle = "Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design",

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

}

DUNIA, R, ROCHELLE, GT & QIN, SJ 2011, Subspace System Identification for CO2 Recovery Processes. in Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design., 6044559, Proceedings of the IEEE International Symposium on Computer-Aided Control System Design, Institute of Electrical and Electronics Engineers, pp. 846-851, 1st Joint Symposium on Computer-Aided Control System Design (CACSD 2011) and Systems with Uncertainty (SU 2011), Denver, Colorado, 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.
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design. Institute of Electrical and Electronics Engineers, 2011. p. 846-851 6044559 (Proceedings of the IEEE International Symposium on Computer-Aided Control System Design).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

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AU - ROCHELLE, Gary T.

AU - QIN, S. Joe

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N2 - 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.

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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U2 - 10.1109/CACSD.2011.6044559

DO - 10.1109/CACSD.2011.6044559

M3 - Conference paper (refereed)

SN - 9781457710667

T3 - Proceedings of the IEEE International Symposium on Computer-Aided Control System Design

SP - 846

EP - 851

BT - Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design

PB - Institute of Electrical and Electronics Engineers

T2 - 1st Joint Symposium on Computer-Aided Control System Design (CACSD 2011) and Systems with Uncertainty (SU 2011)

Y2 - 28 September 2011 through 30 September 2011

ER -

DUNIA R, ROCHELLE GT, QIN SJ. Subspace System Identification for CO2 Recovery Processes. In Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design. Institute of Electrical and Electronics Engineers. 2011. p. 846-851. 6044559. (Proceedings of the IEEE International Symposium on Computer-Aided Control System Design). doi: 10.1109/CACSD.2011.6044559

Subspace System Identification for CO2 Recovery Processes

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