Loading...
Search for:
kermani--mohammad-jafar
0.005 seconds
Experimental Modeling of a Transparent Fuel Cell with Aid of Deep Neural Network to Measure Water Coverage Ratio and Fuzzy Control
, M.Sc. Thesis Sharif University of Technology ; Alasty, Aria (Supervisor) ; Kermani, Mohammad Jafar (Supervisor) ; Boroushaki, Mehrdad (Co-Supervisor)
Abstract
Polymer membrane fuel cell is a rich source of renewable energy. Two problems of short life and low reliability in fuel cells are the main problems of this system. The difference in partial pressure of hydrogen and oxygen causes serious damage to the fuel cell and inefficiency of the electricity production capacity. On the other hand, the life and optimal performance of the fuel cell depends on the moisture content of the membrane because the membrane needs sufficient moisture to pass ions. Transparent fuel cells can be used to study the water in the fuel cell. With direct imaging of this type of fuel cells, the phenomenon of water creation in the fuel cell can be studied with the help of...
Development of Black-Box Model and Fault Tolerant Control of Polymer Electrolyte Membrane Fuel Cell Based on Experimental Data
, Ph.D. Dissertation Sharif University of Technology ; Alasty, Aria (Supervisor) ; Kermani, Mohammad Jafar (Supervisor) ; Asghari, Saeed (Co-Supervisor)
Abstract
Today, the world is facing the limited resources of fossil fuels and the pollution caused by them. One of the best alternatives that can be offered to fossil fuels is the use of hydrogen in fuel cell technology. Polymer electrolyte membrane fuel cell is one of the types of fuel cell that has a significant advantage over other types of fuel cell in terms of low working temperature and high performance speed. In order to become more widespread, the fuel cell must be freed from the two problems of uncertainty and short life. These two factors can be improved by using a condition monitoring system in both stationary and transportation applications. By using continuous status monitoring and error...