Estimation of Starting Voltage of PEMFC by Using Statistical Analysis and Artificial Neural Networks

被引:0
作者
Abbou, Amine [1 ]
Khan, Saad Saleem [2 ]
Hsnaoui, Abdennebi [3 ]
Sher, Waqar Ali [4 ]
Haris, Muhammad [5 ]
Yamin, Faisal [6 ]
Shareef, Hussain [2 ]
机构
[1] Mohammadia Sch Engineers, Electromech Dept, Rabat, Morocco
[2] United Arab Emirates Univ, Dept Elect Engn, Al Ain, U Arab Emirates
[3] Natl Super Sch Mines, Rabat, Morocco
[4] Natl Transmiss & Despatch Co Ltd, Lahore, Pakistan
[5] NFC Inst Engn & Technol Multan, Multan, Pakistan
[6] Abasyn Univ Islamabad, Islamabad, Pakistan
来源
2021 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY: GENERATION AND APPLICATIONS (ICREGA) | 2021年
关键词
Proton exchange membrane fuel cell; starting voltage; central composite design; neural networks; ambient temperature; AMBIENT CONDITIONS; FUEL-CELL; PERFORMANCE;
D O I
10.1109/ICREGA50506.2021.9388312
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Proton exchange membrane fuel cell (PEMFC) is a substitute energy source that provides electricity from hydrogen and oxygen fuel. The PEMFC has found its application not only in electric power generation but also has founds its use in electric vehicles and aircraft applications. The performance of the PEMFC is affected by the variation in ambient conditions especially at the time of start-up. Both ambient temperature, relative humidity of air and ambient pressure of air have major impact on open-cathode PEMFC efficacy. However, in case of close cathode system where pure oxygen is provided to PEMFC, the ambient air pressure and humidity variations does not affect significantly. In this case ambient temperature remains the only important factor on PEMFC performance. In this work the starting voltage of the PEMFC has been studied at altered loading settings. Various techniques such as statistical analysis and artificial neural networks have been used to predict the starting voltage of PEMFC. Artificial neural feed-forward networks are found to be very effective in determining the start-up voltage of PEMFC at various ambient conditions.
引用
收藏
页码:54 / 57
页数:4
相关论文
共 10 条
[1]   Performance evaluation of an open-cathode PEM fuel cell stack under ambient conditions: Case study of United Arab Emirates [J].
Al-Zeyoudi, Hend ;
Sasmito, Agus P. ;
Shamim, Tariq .
ENERGY CONVERSION AND MANAGEMENT, 2015, 105 :798-809
[2]   A Comparison of Central Composite Design and Taguchi Method for Optimizing Fenton Process [J].
Asghar, Anam ;
Raman, Abdul Aziz Abdul ;
Daud, Wan Mohd Ashri Wan .
SCIENTIFIC WORLD JOURNAL, 2014,
[3]   Performance prediction and analysis of a dead-end PEMFC stack using data-driven dynamic model [J].
Barzegari, Mohammad Mandi ;
Rahgoshay, Seyed Majid ;
Mohammadpour, Lliya ;
Toghraie, Davood .
ENERGY, 2019, 188
[4]   Effects of ambient conditions on fuel cell vehicle performance [J].
Haraldsson, K ;
Alvfors, P .
JOURNAL OF POWER SOURCES, 2005, 145 (02) :298-306
[5]   Effect of ambient conditions on performance and current distribution of a polymer electrolyte membrane fuel cell [J].
Hottinen, T ;
Noponen, M ;
Mennola, T ;
Himanen, O ;
Mikkola, M ;
Lund, P .
JOURNAL OF APPLIED ELECTROCHEMISTRY, 2003, 33 (3-4) :265-271
[6]   Influences of ambient conditions on the performance of proton exchange membrane fuel cell using various models [J].
Khan, Saad S. ;
Shareef, Hussain ;
Wahyudie, Addy ;
Khalid, S. N. ;
Sirjani, Reza .
ENERGY & ENVIRONMENT, 2019, 30 (06) :1087-1110
[7]   Prediction of Starting Voltage of PEMFC Systems under Various Ambient Conditions [J].
Khan, Saad Saleem ;
Shareef, Hussain ;
Khan, Irfan A. ;
Haris, Muhammad ;
Bouhaddioui, Chafik .
2019 29TH AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2019,
[8]   Membrane-hydration-state detection in proton exchange membrane fuel cells using improved ambient-condition-based dynamic model [J].
Khan, Saad Saleem ;
Shareef, Hussain ;
Bouhaddioui, Chafik ;
Errouissi, Rachid .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (02) :869-889
[9]  
Ozcelep Y, 2013, C EL EL ENG, DOI [10.1109/ELECO.2013.6713808, DOI 10.1109/ELECO.2013.6713808]
[10]   Performance of proton exchange membrane fuel cell at high-altitude conditions [J].
Pratt, Joseph W. ;
Brouwer, Jacob ;
Samuelsen, G. Scott .
JOURNAL OF PROPULSION AND POWER, 2007, 23 (02) :437-444