Authors: T. de Avila Ferreira; Z. Wuillemin; A. Marchetti; J. Van herle; D. Bonvin.
Resumen: There still exists a large gap between simulation work and industrial applications in the context of control and optimization of solid oxide fuel-cell (SOFC) systems. In an effort to bridge this gap, this study describes the experimental implementation of real-time optimization to a hybrid (with both hardware and software components) SOFC system. The proposed approach is able to reach near plant optimality by (i) correcting the model via a bias term so that it predicts the plant constraints well, and (ii) using the corrected model to compute optimal inputs. This way, the plant efficiency was increased from 55% to 62%. Although the SOFC system is generally characterized by slow thermal dynamics that may take a few hours to settle to steady state, it has been possible to reduce the time necessary to reach the power setpoint from 1 h to about 5 min by using transient measurements incombination with a dynamic model. This work has shown experimentally that it is possible, not only to control the SOFC system at the desired operating point, but also to drive it to near optimality despite changes in power demand. .
Meeting type: Feria.
Type of job: Artículo Completo.
Production: Optimal Operation of an Experimental SOFC System via Constraint Adaptation.
Scientific meeting: 13th European SOFC & SOE Forum 2018.
Meeting place: Lucerna.
Organizing Institution: European Fuel Cell Forum.
It's published?: Yes
Publication place: Lucerna
Meeting month: 7