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Robust model design for evaluation of power characteristics of the cleaner energy system

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  • Garg, Akhil
  • Vijayaraghavan, Venkatesh
  • Zhang, Jian
  • Lam, Jasmine Siu Lee

Abstract

Hydrogen based fuel cell such as solid oxide fuel cell (SOFC) combines compressed hydrogen and oxygen from the air to produce electricity. Since, this technology does not emit emissions and therefore also known as cleaner energy systems. For improving the performance of the fuel cell, it is highly important to understand the effect of operating conditions on its performance. In this context, experimental studies are conducted to understand the fundamentals of the fuel cell mechanism. In view of limited resources, hence numerical studies also become crucial for design of robust models for determining and optimizing the power density based on the dynamic operating conditions. In real scenario, there exist uncertainties in precise measurement of operating conditions such as the temperature and the flow rate of hydrogen, nitrogen and oxygen. In this work, the automated neural search (ANS) approach is proposed to formulate the relationships between power density and the operating conditions. Two types of uncertainties, namely the settings of the ANS approach and in the operating conditions are considered to formulate the robust models. Optimization performed on the robust model reveals that the operating temperature of 778 °C, hydrogen and oxygen flow rate of 1 L/min are the optimum settings for achieving maximum power density of 574.2 mW/cm2.

Suggested Citation

  • Garg, Akhil & Vijayaraghavan, Venkatesh & Zhang, Jian & Lam, Jasmine Siu Lee, 2017. "Robust model design for evaluation of power characteristics of the cleaner energy system," Renewable Energy, Elsevier, vol. 112(C), pages 302-313.
    • Handle: RePEc:eee:renene:v:112:y:2017:i:c:p:302-313
    DOI: 10.1016/j.renene.2017.05.041
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    1. Hu, Xiaosong & Murgovski, Nikolce & Johannesson, Lars & Egardt, Bo, 2013. "Energy efficiency analysis of a series plug-in hybrid electric bus with different energy management strategies and battery sizes," Applied Energy, Elsevier, vol. 111(C), pages 1001-1009.
    2. Choudhury, Arnab & Chandra, H. & Arora, A., 2013. "Application of solid oxide fuel cell technology for power generation—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 430-442.
    3. Razbani, Omid & Wærnhus, Ivar & Assadi, Mohsen, 2013. "Experimental investigation of temperature distribution over a planar solid oxide fuel cell," Applied Energy, Elsevier, vol. 105(C), pages 155-160.
    4. Contestabile, Marcello, 2010. "Analysis of the market for diesel PEM fuel cell auxiliary power units onboard long-haul trucks and of its implications for the large-scale adoption of PEM FCs," Energy Policy, Elsevier, vol. 38(10), pages 5320-5334, October.
    5. repec:cdl:itsdav:qt5jn024fr is not listed on IDEAS
    6. Sadeghi, Mohsen & Chitsaz, Ata & Mahmoudi, S.M.S. & Rosen, Marc A., 2015. "Thermoeconomic optimization using an evolutionary algorithm of a trigeneration system driven by a solid oxide fuel cell," Energy, Elsevier, vol. 89(C), pages 191-204.
    7. Al-Masri, A. & Peksen, M. & Blum, L. & Stolten, D., 2014. "A 3D CFD model for predicting the temperature distribution in a full scale APU SOFC short stack under transient operating conditions," Applied Energy, Elsevier, vol. 135(C), pages 539-547.
    8. repec:cdl:uctcwp:qt3dn7n50v is not listed on IDEAS
    9. repec:cdl:itsdav:qt1bt204qt is not listed on IDEAS
    10. Lee, Young Duk & Ahn, Kook Young & Morosuk, Tatiana & Tsatsaronis, George, 2015. "Environmental impact assessment of a solid-oxide fuel-cell-based combined-heat-and-power-generation system," Energy, Elsevier, vol. 79(C), pages 455-466.
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