Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG)

Jonathan McConnell; Tuhin Das; Andres Caesar; James Hoy; Prithvi Veeravalli

doi:10.1115/DSCC2019-9084

Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG)

Jonathan McConnell, Tuhin Das, Andres Caesar, James Hoy, Prithvi Veeravalli

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a dynamic model of a three-pressurestage Heat Recovery Steam Generator (HRSG) system. It is developed on the Siemens T3000 plant monitoring environment.The multi-physics mathematical model captures essential physical phenomena of the HRSG system such as thermodynamics,heat transfer, phase change, fluid dynamics, etc. as well as theircouplings. Fast simulation of the dynamic model is achieved andreal-time execution is feasible. Aside from heat exchange elements such as economizers and superheaters, the critical components of the model are the high, intermediate, and low pressure boilers. Here, phase transitions and widely different operating pressures pose unique computational challenges and demandaccurate modeling of mass and energy balance during unsteadyconditions. A two-mode dynamics has been implemented in modeling the boilers. The model switches between these modes during transients. Through collaboration with Siemens Energy Inc.,the model's transient behavior and steady values have been validated with selected transient startup-data from a real HRSG.

Original language	English
Title of host publication	Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations
Subtitle of host publication	Modeling, Analysis, and Control
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Electronic)	9780791859155
DOIs	https://doi.org/10.1115/DSCC2019-9084
State	Published - 2019
Externally published	Yes
Event	ASME 2019 Dynamic Systems and Control Conference, DSCC 2019 - Park City, United States Duration: Oct 8 2019 → Oct 11 2019

Publication series

Name	ASME 2019 Dynamic Systems and Control Conference, DSCC 2019
Volume	2

Conference

Conference	ASME 2019 Dynamic Systems and Control Conference, DSCC 2019
Country/Territory	United States
City	Park City
Period	10/8/19 → 10/11/19

Funding

The first two authors would like to express their gratitude to Siemens Energy Inc. for their support of this research.

Access to Document

10.1115/DSCC2019-9084

Cite this

McConnell, J., Das, T., Caesar, A., Hoy, J., & Veeravalli, P. (2019). Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG). In Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control (ASME 2019 Dynamic Systems and Control Conference, DSCC 2019; Vol. 2). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DSCC2019-9084

McConnell, Jonathan ; Das, Tuhin ; Caesar, Andres et al. / Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG). Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control. American Society of Mechanical Engineers (ASME), 2019. (ASME 2019 Dynamic Systems and Control Conference, DSCC 2019).

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title = "Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG)",

abstract = "This paper presents a dynamic model of a three-pressurestage Heat Recovery Steam Generator (HRSG) system. It is developed on the Siemens T3000 plant monitoring environment.The multi-physics mathematical model captures essential physical phenomena of the HRSG system such as thermodynamics,heat transfer, phase change, fluid dynamics, etc. as well as theircouplings. Fast simulation of the dynamic model is achieved andreal-time execution is feasible. Aside from heat exchange elements such as economizers and superheaters, the critical components of the model are the high, intermediate, and low pressure boilers. Here, phase transitions and widely different operating pressures pose unique computational challenges and demandaccurate modeling of mass and energy balance during unsteadyconditions. A two-mode dynamics has been implemented in modeling the boilers. The model switches between these modes during transients. Through collaboration with Siemens Energy Inc.,the model's transient behavior and steady values have been validated with selected transient startup-data from a real HRSG.",

author = "Jonathan McConnell and Tuhin Das and Andres Caesar and James Hoy and Prithvi Veeravalli",

note = "Publisher Copyright: Copyright {\textcopyright} 2019 ASME.; ASME 2019 Dynamic Systems and Control Conference, DSCC 2019 ; Conference date: 08-10-2019 Through 11-10-2019",

year = "2019",

doi = "10.1115/DSCC2019-9084",

language = "English",

series = "ASME 2019 Dynamic Systems and Control Conference, DSCC 2019",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations",

}

McConnell, J, Das, T, Caesar, A, Hoy, J & Veeravalli, P 2019, Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG). in Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control. ASME 2019 Dynamic Systems and Control Conference, DSCC 2019, vol. 2, American Society of Mechanical Engineers (ASME), ASME 2019 Dynamic Systems and Control Conference, DSCC 2019, Park City, United States, 10/8/19. https://doi.org/10.1115/DSCC2019-9084

Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG). / McConnell, Jonathan; Das, Tuhin; Caesar, Andres et al.
Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control. American Society of Mechanical Engineers (ASME), 2019. (ASME 2019 Dynamic Systems and Control Conference, DSCC 2019; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG)

AU - McConnell, Jonathan

AU - Das, Tuhin

AU - Caesar, Andres

AU - Hoy, James

AU - Veeravalli, Prithvi

PY - 2019

Y1 - 2019

N2 - This paper presents a dynamic model of a three-pressurestage Heat Recovery Steam Generator (HRSG) system. It is developed on the Siemens T3000 plant monitoring environment.The multi-physics mathematical model captures essential physical phenomena of the HRSG system such as thermodynamics,heat transfer, phase change, fluid dynamics, etc. as well as theircouplings. Fast simulation of the dynamic model is achieved andreal-time execution is feasible. Aside from heat exchange elements such as economizers and superheaters, the critical components of the model are the high, intermediate, and low pressure boilers. Here, phase transitions and widely different operating pressures pose unique computational challenges and demandaccurate modeling of mass and energy balance during unsteadyconditions. A two-mode dynamics has been implemented in modeling the boilers. The model switches between these modes during transients. Through collaboration with Siemens Energy Inc.,the model's transient behavior and steady values have been validated with selected transient startup-data from a real HRSG.

AB - This paper presents a dynamic model of a three-pressurestage Heat Recovery Steam Generator (HRSG) system. It is developed on the Siemens T3000 plant monitoring environment.The multi-physics mathematical model captures essential physical phenomena of the HRSG system such as thermodynamics,heat transfer, phase change, fluid dynamics, etc. as well as theircouplings. Fast simulation of the dynamic model is achieved andreal-time execution is feasible. Aside from heat exchange elements such as economizers and superheaters, the critical components of the model are the high, intermediate, and low pressure boilers. Here, phase transitions and widely different operating pressures pose unique computational challenges and demandaccurate modeling of mass and energy balance during unsteadyconditions. A two-mode dynamics has been implemented in modeling the boilers. The model switches between these modes during transients. Through collaboration with Siemens Energy Inc.,the model's transient behavior and steady values have been validated with selected transient startup-data from a real HRSG.

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M3 - Conference contribution

AN - SCOPUS:85076489780

T3 - ASME 2019 Dynamic Systems and Control Conference, DSCC 2019

BT - Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations

PB - American Society of Mechanical Engineers (ASME)

T2 - ASME 2019 Dynamic Systems and Control Conference, DSCC 2019

Y2 - 8 October 2019 through 11 October 2019

ER -

McConnell J, Das T, Caesar A, Hoy J, Veeravalli P. Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG). In Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control. American Society of Mechanical Engineers (ASME). 2019. (ASME 2019 Dynamic Systems and Control Conference, DSCC 2019). doi: 10.1115/DSCC2019-9084

Multi-physics dynamic modeling and transient simulation of a multi-stage heat recovery steam generator (HRSG)

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