Fast RTO Applied to a Commercial SOFC System

The experimental implementation of real-time optimization (RTO) to a commercial solid-oxide fuel-cell (SOFC) system is reported in this paper. The goal of RTO is to maximize the system efficiency at steady state subject to several operating constraints. The proposed RTO strategy is a constraint-adaptation approach, which consists in adding bias correction terms to the constraints in the optimization problem. These bias terms are estimated during operation using transient measurements in combination with a dynamic model. The scheme enforces plant optimality by continuously detecting and tracking the set of active constraints. This approach drives the fuel-cell system quickly to the desired power demand, while maximizing the efficiency and paying attention to constraint satisfaction. As such, this RTO scheme has the ability to both control and optimize fuel-cell systems. This experimental system reached about 65% efficiency. In addition, it was possible to deal with slow drifts such as degradation without compromising on optimality. (C) 2019, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.


Published in:
Ifac Papersonline, 52, 1, 40-45
Presented at:
12th International-Federation-of-Automatic-Control (IFAC) Symposium on Dynamics and Control of Process Systems including Biosystems (DYCOPS), Florianopolis, BRAZIL, Apr 23-26, 2019
Year:
Jan 01 2019
Publisher:
Amsterdam, ELSEVIER SCIENCE BV
ISSN:
2405-8963
Keywords:
Laboratories:




 Record created 2019-07-17, last modified 2019-08-30


Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)