Constrained predictive control based on state space model of Organic Rankine Cycle system for waste heat recovery

Author

Zhang, Jianhua ; Zhou, Yeli ; Gao, Song ; Hou, Guolian

Author_Institution

Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China

fYear

2012

fDate

23-25 May 2012

Firstpage

230

Lastpage

234

Abstract

Due to the advantages of recovering energy from low-grade heat sources, Organic Rankine Cycle (ORC) system is adopted as the primary technology for waste heat recovery. As the ORC system is a multivariable system with high complexity and nonlinear coupling, the conventional control strategy may not achieve satisfactory results. In this paper, the application of constrained model predictive control (MPC) for an ORC system is demonstrated. The simulation results are given to illustrate the efficiency and feasibility of the proposed control strategy.

Keywords

multivariable control systems; nonlinear control systems; predictive control; waste heat; MPC; ORC system; constrained model predictive control; energy recovery; multivariable system; nonlinear coupling; organic rankine cycle system; state space model; waste heat recovery; Fluids; Heat engines; Heat recovery; Predictive control; Predictive models; Resistance heating; Waste heat; Constrained predictive control; Multivariable control; Organic Rankine Cycle;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2012 24th Chinese

Conference_Location

Taiyuan

Print_ISBN

978-1-4577-2073-4

Type

conf

DOI

10.1109/CCDC.2012.6244032

Filename

6244032