Modelado semiempírico de una monocelda de una pila de combustible comercial de tipo PEM de 300 W

The concept of Hydrogen Economy, coined in the second half of the twentieth century, has gained strength as a solution to the problems derived from the consumption of fossil fuels. The main idea of the Hydrogen Economy is the use of hydrogen as an energy vector. Fuel cells play a leading role in thi...

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Detalles Bibliográficos
Autor: Giner-Sanz, Juan José|||0000-0003-0441-6102
Tipo de recurso: tesis doctoral
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/90421
Acceso en línea:https://riunet.upv.es/handle/10251/90421
Access Level:acceso abierto
Palabra clave:Monocelda de combustible tipo PEM
Modelado semiempírico estacionario y dinámico
Espectroscopia de impedancias electroquímicas
Métodos de validación
Estudio estadístico del efecto de las condiciones de operación.
INGENIERIA QUIMICA
Descripción
Sumario:The concept of Hydrogen Economy, coined in the second half of the twentieth century, has gained strength as a solution to the problems derived from the consumption of fossil fuels. The main idea of the Hydrogen Economy is the use of hydrogen as an energy vector. Fuel cells play a leading role in this economy, since today, fuel cells are the most attractive hydrogen final conversion technology. This technology, invented more than 150 years ago, is well established nowadays. However, there is still research to be done in the fuel cell field, in order to make them economically profitable in comparison to the competing technologies. One of the research lines that have attracted a great attention in recent years, is the development of diagnosis and control tools for fuel cells. This Thesis is framed in this research line. This work's main goal is to obtain a semiempirical model of an individual cell of a commercial 300W PEM fuel cell stack. The developed model is meant to be used in diagnosis and control systems. In order to fulfill this goal, a steady state model and a dynamic model were developed. On the one hand, the developed steady state model consists in a semiempirical steady state model coupled with an open circuit loss model, obtained from the open circuit loss experimental characterization. On the other hand, the proposed dynamic model consists in an electric equivalent circuit with a mechanistic meaning, coupled with an empirical model to represent the evolution of the equivalent circuit parameters with the operation current. Since the dynamic model was built using electrochemical impedance spectroscopy (EIS) spectra, two experimental EIS spectra validation methods were developed in this work. Moreover, the EIS measurement was optimized in order to minimize the experimental error related to EIS measurements. Both, the measurement parameters and the perturbation amplitude, were optimized in this work. Finally, a statistical study was performed in order to determine the effect of the operation conditions (operation temperature and humidity of the inlet gases) on each one of the parameters of the stationary and dynamic models.