Model predictive control of the high-pressure side of simple supercritical CO2cycle

Paper


Bone, Viv, Kearney, Michael and Jahn, Ingo. 2023. "Model predictive control of the high-pressure side of simple supercritical CO2cycle." 2023 American Control Conference (ACC). San Diego, CA, USA 31 May - 02 Jun 2023 United States. https://doi.org/10.23919/ACC55779.2023.10156234
Paper/Presentation Title

Model predictive control of the high-pressure side of simple supercritical CO2cycle

Presentation TypePaper
AuthorsBone, Viv, Kearney, Michael and Jahn, Ingo
Journal or Proceedings TitleProceedings of 2023 American Control Conference (ACC)
Journal Citationpp. 1813-1818
Number of Pages6
Year2023
Place of PublicationUnited States
Digital Object Identifier (DOI)https://doi.org/10.23919/ACC55779.2023.10156234
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/abstract/document/10156234
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10155646/proceeding
Conference/Event2023 American Control Conference (ACC)
Event Details
2023 American Control Conference (ACC)
Parent
American Control Conference
Delivery
In person
Event Date
31 May 2023 to end of 02 Jun 2023
Event Location
San Diego, CA, USA
AbstractControl of non-condensing non-ideal-gas power cycles is challenging because of their complex nonlinear dynamics and the presence of state constraints. This article presents a first-principles model predictive control (MPC) strategy for these systems. We demonstrate this methodology on the high-pressure side of a simple supercritical CO 2 cycle power block. We develop the control model using timescale-separation arguments, then implement MPC by linearizing the model online at each sampling instant. Closed-loop simulations with a gas-dynamics truth model demonstrate the effectiveness of the controller. This article demonstrates the suitability of MPC for the supercritical CO 2 cycle, and provides a pathway to implementing MPC for more complex cycle variants such as the recuperated and recompression cycle.
ANZSRC Field of Research 2020401213. Turbulent flows
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Byline AffiliationsUniversity of Melbourne
School of Mechanical & Mechatronic Engineering
School of Engineering
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