International Journal of Energy Research

Cover image for Vol. 37 Issue 10

Special Issue: Green Hydrogen and Fuel Cell Systems

August 2013

Volume 37, Issue 10

Pages 1141–1264

Issue edited by: Hikmet Karakoc, Adnan Midilli, Onder Turan

  1. Editorial

    1. Top of page
    2. Editorial
    3. Special Issue: Green Hydrogen and Fuel Cell Systems
    1. You have free access to this content
      Green hydrogen and fuel cell systems (page 1141)

      Hikmet Karakoc, Adnan Midilli and Onder Turan

      Version of Record online: 10 JUL 2013 | DOI: 10.1002/er.3037

  2. Special Issue: Green Hydrogen and Fuel Cell Systems

    1. Top of page
    2. Editorial
    3. Special Issue: Green Hydrogen and Fuel Cell Systems
    1. Model for biomass-based renewable hydrogen supply chain (pages 1151–1159)

      Irfan Ahmad Gondal and Mukhtar Hussain Sahir

      Version of Record online: 18 OCT 2012 | DOI: 10.1002/er.2970

    2. Design and simulation of a UOIT copper–chlorine cycle for hydrogen production (pages 1160–1174)

      Mehmet F. Orhan, Ibrahim Dincer and Marc A. Rosen

      Version of Record online: 20 JUN 2012 | DOI: 10.1002/er.2928

    3. Hydrogen generation with sodium borohydride solution by Ru catalyst (pages 1187–1195)

      Zhen-Ming Huang, Ay Su and Ying-Chieh Liu

      Version of Record online: 20 JUN 2012 | DOI: 10.1002/er.2937

    4. A novel H2S/H2O2 fuel cell operating at the temperature of 298 K (pages 1205–1212)

      Ayşe Elif Sanli, Orhan Yılmaz and Aylin Aytaç

      Version of Record online: 7 SEP 2012 | DOI: 10.1002/er.2950

    5. Dynamic characteristics and fast load following of 5-kW class tubular solid oxide fuel cell/micro-gas turbine hybrid systems (pages 1242–1255)

      Oh So-ryeok, Sun Jing, Dobbs Herb and King Joel

      Version of Record online: 6 MAY 2013 | DOI: 10.1002/er.3031

      Thumbnail image of graphical abstract

      Research Significance: The response characteristics of solid oxide fuel cell/micro-gas turbine hybrid systems for load changes have been identified. A computational framework which leads to an optimal load change strategy to achieve the fast load following has been established. Through case studies, the technique has proven very useful as a mathematical tool in providing quantitative assessments that allow design trade-off between the system efficiency and the fast load-following capability.

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