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A probabilistic model for 1st stage dimensioning of renewable hydrogen transport micro-economies

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  • Davies, Huw Charles
  • Datardina, Naeem

Abstract

The implementation of a hydrogen transport economy based on renewable energy sources is seen by many as the ultimate sustainable transport solution. However, dimensioning of hydrogen production systems is complex: renewable energy sources are stochastic in nature, requiring the collection of empirical datasets relating to weather patterns on a daily, seasonal and annual basis; and hydrogen production is characterised by sensitivity to operating conditions and diversity in the performance of the component parts.

Suggested Citation

  • Davies, Huw Charles & Datardina, Naeem, 2013. "A probabilistic model for 1st stage dimensioning of renewable hydrogen transport micro-economies," Renewable Energy, Elsevier, vol. 60(C), pages 355-362.
    • Handle: RePEc:eee:renene:v:60:y:2013:i:c:p:355-362
    DOI: 10.1016/j.renene.2013.05.029
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    References listed on IDEAS

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    1. Adamson, Kerry-Ann, 2004. "Hydrogen from renewable resources--the hundred year commitment," Energy Policy, Elsevier, vol. 32(10), pages 1231-1242, July.
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    5. Kolhe, M. & Agbossou, K. & Hamelin, J. & Bose, T.K., 2003. "Analytical model for predicting the performance of photovoltaic array coupled with a wind turbine in a stand-alone renewable energy system based on hydrogen," Renewable Energy, Elsevier, vol. 28(5), pages 727-742.
    6. Houssamo, Issam & Locment, Fabrice & Sechilariu, Manuela, 2010. "Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms," Renewable Energy, Elsevier, vol. 35(10), pages 2381-2387.
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