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Wind-hydrogen energy stand-alone system with carbon storage: Modeling and simulation

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  • Zini, Gabriele
  • Tartarini, Paolo

Abstract

A wind-hydrogen hybrid system with carbon physisorption storage has been developed and implemented within a dynamic model-based software environment. Numerical simulations have been applied to synthetic and real data to evaluate its operations and performance over a 6-months period. Hydrogen is yielded by electrolysis with energy converted from wind, and load is powered either by direct turbine connection, by battery or a fuel cell. Surplus hydrogen is stored by physisorption in a cluster of nitrogen-cooled tanks filled with activated carbons. Physisorption has been modeled after the Ono-Kondo isotherm from laboratory data available in literature. The operating cycle is composed of four transformations: isobar pre-charging at 0.1 MPa, isothermal charging at 77 K, isobar pre-discharging at 6 MPa, and isothermal discharging at 153 K. From our simulation runs, the system can operate as stand-alone granting total independence from the grid. The storage system has good gravimetric and volumetric capacity (10.8% and 32.5 g/l at 6 MPa). Overall system efficiency is estimated to be around 10%. Hydrogen physisorption on carbon seems a potentially feasible storage technique for hydrogen with tanks that are compact and safe, hence apt for stationary and some non-stationary applications.

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  • Zini, Gabriele & Tartarini, Paolo, 2010. "Wind-hydrogen energy stand-alone system with carbon storage: Modeling and simulation," Renewable Energy, Elsevier, vol. 35(11), pages 2461-2467.
    • Handle: RePEc:eee:renene:v:35:y:2010:i:11:p:2461-2467
    DOI: 10.1016/j.renene.2010.03.001
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    References listed on IDEAS

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    Cited by:

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    5. Zheng, Jianpeng & Chen, Liubiao & Liu, Xuming & Zhu, Honglai & Zhou, Yuan & Wang, Junjie, 2020. "Thermodynamic optimization of composite insulation system with cold shield for liquid hydrogen zero-boil-off storage," Renewable Energy, Elsevier, vol. 147(P1), pages 824-832.
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    7. Kavadias, K.A. & Apostolou, D. & Kaldellis, J.K., 2018. "Modelling and optimisation of a hydrogen-based energy storage system in an autonomous electrical network," Applied Energy, Elsevier, vol. 227(C), pages 574-586.

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