LAPSE:2018.1029
Published Article
LAPSE:2018.1029
Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control
Andres Hernandez, Adriano Desideri, Clara Ionescu, Robin De Keyser, Vincent Lemort, Sylvain Quoilin
November 27, 2018
In this paper, the optimal operation of a stationary sub-critical 11 kW el organic Rankine cycle (ORC) unit for waste heat recovery (WHR) applications is investigated, both in terms of energy production and safety conditions. Simulation results of a validated dynamic model of the ORC power unit are used to derive a correlation for the evaporating temperature, which maximizes the power generation for a range of operating conditions. This idea is further extended using a perturbation-based extremum seeking (ES) algorithm to identify online the optimal evaporating temperature. Regarding safety conditions, we propose the use of the extended prediction self-adaptive control (EPSAC) approach to constrained model predictive control (MPC). Since it uses input/output models for prediction, it avoids the need for state estimators, making it a suitable tool for industrial applications. The performance of the proposed control strategy is compared to PID-like schemes. Results show that EPSAC-MPC is a more effective control strategy, as it allows a safer and more efficient operation of the ORC unit, as it can handle constraints in a natural way, operating close to the boundary conditions where power generation is maximized.
Keywords
extremum-seeking (ES) control, Model Predictive Control, organic Rankine cycle
Suggested Citation
Hernandez A, Desideri A, Ionescu C, De Keyser R, Lemort V, Quoilin S. Real-Time Optimization of Organic Rankine Cycle Systems by Extremum-Seeking Control. (2018). LAPSE:2018.1029
Author Affiliations
Hernandez A: Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium; Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium
Desideri A: Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium
Ionescu C: Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium
De Keyser R: Department of Electrical Energy, Systems and Automation, Ghent University, 9000 Ghent, Belgium
Lemort V: Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium
Quoilin S: Thermodynamics Laboratory, University of Liege, Campus du Sart Tilman B49, 4000 Liege, Belgium [ORCID]
[Login] to see author email addresses.
Journal Name
Energies
Volume
9
Issue
5
Article Number
E334
Year
2016
Publication Date
2016-05-04
Published Version
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en9050334, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2018.1029
This Record
External Link

doi:10.3390/en9050334
Publisher Version
Download
Files
[Download 1v1.pdf] (739 kB)
Nov 27, 2018
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
697
Version History
[v1] (Original Submission)
Nov 27, 2018
 
Verified by curator on
Nov 27, 2018
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2018.1029
 
Original Submitter
Calvin Tsay
Links to Related Works
Directly Related to This Work
Publisher Version