Abstract: A two-dimensional model based on the lattice Boltzmann method (LBM) is established to study the performance of solid oxide fuel cell (SOFC). A single phase multicomponent model is used to describe mass transport in the porous electrodes and fuel/air channels. Our results are compared with those from the literature and a good agreement is found. After model validation a parametric analysis is conducted to examine the effect of operating parameters on SOFC performance. The purpose of this paper is to examine the effect of the Kelvin force, caused by magnet particles deposited on cathode/electrolyte interface, on SOFC performance. The obtained results suggest that no magnetic field effect was observed for SOFC performance.

• Publication Date: 24-Jan-2021
• DOI: 10.15224/978-1-63248-191-7-01
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Abstract: Nowadays, intelligent parking spot availability management is a must for smart cities, because nobody enjoys wasting time in traffic looking for a parking space. In this paper we propose a method to identify the free parking spots in a large parking lot by analyzing the information from the surveillance cameras. The classification result is used in a mobile and/or web application for guide the users to a specific free parking spot. The proposed solution is based on SVM (Support Vector Machines) for classification in two classes free/occupied and quantized DCT (Discrete Cosine Transform) for spots description. The experimental results show very good performance for real time parking management, with a rate over 92% of accuracy. The tests are done on four different large parking areas.

• Publication Date: 24-Jan-2021
• DOI: 10.15224/978-1-63248-191-7-02
• Views: 0
• Downloads: 0