Detalle del congreso

Autores: T. de Avila Ferreira; A. G. Marchetti; T. Faulwasser; Z. Wuillemin; S.F. Au; A. Nakajo; J. Van herle; D. Bonvin.

Resumen: Optimal operation of solid oxide fuel cell (SOFC) systems aims at maximizing the sys- tem?s efficiency, while adhering to operating and safety constraints. These constraints are typically set to avoid degradation effects, which lead to damage or shorten the life of the fuel cells. In addition, these systems are subject to frequent changes in power demand, which calls for a strategy for tracking the changing optimal conditions while respecting the constraints. Recently, a real-time optimization (RTO) approach known as constraint adaptation has been successfully applied to optimize an experimental 6-cell SOFC stack. Constraint adaptation uses a steady-state model to optimize the system and seeks to satisfy the plant constraints via bias update terms. These biases correspond to the differences between the measured and predicted constraint values at each RTO iteration.In the present work, we extend the application of constraint adaptation to a complete SOFC system that includes a reformer, heat exchanger, and burner. The slow thermal dynamics and the complexity of the system calls for an RTO approach that improves the system performance and avoids violation of certain output variables while tracking the required power demand profile. Simulation results suggest that constraint adaptation is able to meet close-to-optimal SOFC operating conditions in the presence of significant plant-model mismatch. An experimental validation of the results is foreseen for a SOFC system at SOLIDpower.

Tipo de reunión: Simposio.

Producción: Real-Time Optimization of a Solid Oxide Fuel Cell System with Reformer.

Reunión científica: MODVAL 13 - Symposium for Fuel Cell and Battery Modeling and Experimental Validation.

Lugar: Lausana.

Institución organizadora: Swiss Federal Energy Office.

Publicado: No

Mes de reunión: 3

Año: 2016.