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 Type	Paper
Authors	Bone, Viv, Kearney, Michael and Jahn, Ingo
Journal or Proceedings Title	Proceedings of 2023 American Control Conference (ACC)
Journal Citation	pp. 1813-1818
Number of Pages	6
Year	2023
Place of Publication	United States
Digital Object Identifier (DOI)	https://doi.org/10.23919/ACC55779.2023.10156234
Web Address (URL) of Paper	https://ieeexplore.ieee.org/abstract/document/10156234
Web Address (URL) of Conference Proceedings	https://ieeexplore.ieee.org/xpl/conhome/10155646/proceeding
Conference/Event	2023 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
Abstract	Control 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 2020	401213. Turbulent flows
Public Notes	Files associated with this item cannot be displayed due to copyright restrictions.
Byline Affiliations	University of Melbourne
	School of Mechanical & Mechatronic Engineering
	School of Engineering

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