Multiple model predictive control for organic rankine cycle (ORC) based waste heat energy conversion systems

Zhang, J, Zhang, T, Lin, M et al. (2 more authors) (2016) Multiple model predictive control for organic rankine cycle (ORC) based waste heat energy conversion systems. In: Proceedings of the 2016 UKACC 11th International Conference on Control (CONTROL). 2016 UKACC 11th International Conference on Control (CONTROL), 31 Aug - 02 Sep 2016, elfast, UK. IEEE ISBN 978-1-4673-9891-6

Abstract

In this paper, a multiple model predictive control (MMPC) strategy is applied into an organic Rankine cycle (ORC) based waste heat energy conversion system (WHECS). The rotating speed of the pump and the shaft torque of the expander are manipulated simultaneously to provide the optimal (suboptimal) evaporating pressure and superheating temperature for nonlinear WHECSs under different operating conditions. Simulation results confirm the efficacy of the proposed control scheme.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Zhang, J Zhang, T Lin, M Hou, G Li, K https://orcid.org/0000-0001-6657-0522
Keywords:	Organic Rankine cycle; waste heat energy conversion system; multiple model predictive control
Dates:	Published: 10 November 2016 Published (online): 10 November 2016
Institution:	The University of Leeds
Academic Units:	The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds)
Depositing User:	Symplectic Publications
Date Deposited:	05 Nov 2019 15:06
Last Modified:	05 Nov 2019 15:06
Status:	Published
Publisher:	IEEE
Identification Number:	10.1109/control.2016.7737577
Related URLs:	Author
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:153031

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Multiple model predictive control for organic rankine cycle (ORC) based waste heat energy conversion systems

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