NDLI: Nonlinear dynamic model identification and MPC control of an Organic Rankine Cycle (ORC) based solar thermal power plant

Content Provider	IEEE Xplore Digital Library
Author	Rahmani, M.A. Alamir, M. Gualino, D. Rieu, V.
Copyright Year	2015
Description	Author affiliation: EXOES, Bordeaux, France (Rieu, V.) \|\| Control Syst. Dept., Univ. of Grenoble, Grenoble, France (Alamir, M.) \|\| Schneider Electr. Ind., Grenoble, France (Rahmani, M.A.; Gualino, D.)
Abstract	In this paper a nonlinear dynamic model for a solar thermal Organic Rankine Cycle (ORC) power plant is identified and validated using experimental data gathered on a real 4kWelec ORC based solar thermal power plant prototype. The applied identification structure enables the dynamics of the key quantities (variables to be regulated and constrained variables) to be captured. This leads to a control-oriented model that is used to design a constrained optimal control strategy for the ORC power plant that has to track rapidly some reference electrical power while respecting the system constraints in terms of temperatures and pressures for some key thermodynamic variables. Prior to the control design step, an analysis of the admissible desired steady states is performed to derive feedforward terms that enhance the controller performances. The time responses obtained with the proposed control methodology suggest that a significant reduction in the energy buffer size, consisting in a battery bank associated to the ORC power plant, can be performed.
Starting Page	2539
Ending Page	2546
File Size	1913258
Page Count	8
File Format	PDF
e-ISBN	9783952426937
DOI	10.1109/ECC.2015.7330920
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-15
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	EUCA
Subject Keyword	Prototypes Aerospace electronics Data models Batteries Turbines Digital TV
Content Type	Text
Resource Type	Article

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