Next Article in Journal
Liquid Biphasic System: A Recent Bioseparation Technology
Next Article in Special Issue
A Practical Unified Algorithm of P-IMC Type
Previous Article in Journal
Modification of the Bacterial Cell Wall—Is the Bioavailability Important in Creosote Biodegradation?
Previous Article in Special Issue
Multiple-Input Single-Output Control for Extending the Steady-State Operating Range—Use of Controllers with Different Setpoints
Open AccessArticle

Integration of Prognostics and Control of an Oil/CO2 Subsea Separation System

1
Programa de Engenharia Química, UFRJ, Rio de Janeiro 21941-450, Brazil
2
Escola de Química, UFRJ, Rio de Janeiro 21941-909, Brazil
3
Department of Mechanical and Industrial Engineering, NTNU, 7491 Trondheim, Norway
*
Author to whom correspondence should be addressed.
Processes 2020, 8(2), 148; https://doi.org/10.3390/pr8020148
Received: 15 November 2019 / Revised: 19 December 2019 / Accepted: 19 January 2020 / Published: 23 January 2020
The exploitation of reserves with a high CO2 content is challenging because of the need for its separation and the environmental impact associated with its generation. In this context, a suitable use for the generated CO2 is its reinjection into the reservoir, and subsea CO2 separation improves the efficiency of this process. The main objective of this work is to investigate the health-aware control of a subsea CO2 separation system. Previously identified linear models were used in a predictive controller with Kalman filter-based state estimation and online model update, and simulations were performed to evaluate the controller tuning. Regarding prognostics, a stochastic model of pump degradation, sensitive to its operating conditions, was proposed, and a particle filter was implemented to perform online degradation state estimation and remaining useful lifetime prediction. Finally, a health-aware controller was designed, which could extend the life of the process by four months when compared to operation with a conventional model predictive controller. Some difficulties in combining reference tracking and lifetime extension objectives were also investigated. The obtained results indicate that dealing with the control problem through the multiobjective optimization theory or addressing the lifetime extension in an optimization layer may improve its performance. View Full-Text
Keywords: predictive control; equipment reliability; remaining useful lifetime; statistic inference; subsea processing predictive control; equipment reliability; remaining useful lifetime; statistic inference; subsea processing
Show Figures

Figure 1

MDPI and ACS Style

Bernardino, L.F.; Souza, A.F.F.; Secchi, A.R.; de Souza Jr., M.B.; Barros, A. Integration of Prognostics and Control of an Oil/CO2 Subsea Separation System. Processes 2020, 8, 148.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop