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COBEM 2023
27th International Congress of Mechanical Engineering
Sensitivity analysis of a numerical model to predict polarization curves of a solid oxide fuel cell and comparison with experimental results
Submission Author:
Guilherme Pickler , SC
Co-Authors:
Guilherme Pickler, Rafael de Camargo Catapan, Amir Antonio Martins Oliveira
Presenter: Guilherme Pickler
doi://10.26678/ABCM.COBEM2023.COB2023-0890
Abstract
Among the sectors with the highest consumption of non-renewable energy, the transport sector stands out, which currently represents 26.2% of the world's energy balance, with 90% of this consumption being petroleum derivatives. Current engines are considered inefficient compared to other means of energy conversion, such as fuel cells. Predicting the behavior of a fuel cell under embedded operation is crucial to efficiently employ such devices in an efficient way. Therefore, the general objective of this work is to perform a sensitivity analysis of a numeral model to predict polarization curves of a solid oxide fuel cell and compare results against experimental measurements. The mathematical model utilized to predict the polarization curves is collected from literature and written in the software EES. This is a 1-D model based on the flux balance concept and uses the Tafel approximation for fuel cell kinetics. For the experiments, a SOFC fuel cell test system, model 855 from Scribner and a Mellen furnace, Single Stack model were used. The flow rates were measured with a bubblemeter, the inlet pressures were preset at 4 bar and the cell output is linked to the environment. The commercial cell used is a NextCell 7s supported on electrolyte with an active area of 28 cm². The tests were conducted at 1,099, 1,052 and 1,008 K, under flow of H2 and O2. Afterwards, these curves were compared with the 1-D model in EES.
Keywords
SOFC, EES, Hydrogen, 1-D model, flux balance
