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Development of a Model for Performance Analysis of a Honeycomb Thermal Energy Storage for Solar Power Microturbine Applications

Author

Listed:
  • Davide Iaria

    (Department of Mechanical Engineering & Aeronautics, School of Mathematics, Computer Science & Engineering, University of London, London EC1V 0HB, UK)

  • Xin Zhou

    (Institute for Thermal Power Engineering, College of Energy Engineering, Zhejiang University, 38 Zheda Road, Hangzhou 310027, China)

  • Jafar Al Zaili

    (Department of Mechanical Engineering & Aeronautics, School of Mathematics, Computer Science & Engineering, University of London, London EC1V 0HB, UK)

  • Qiang Zhang

    (Department of Mechanical Engineering & Aeronautics, School of Mathematics, Computer Science & Engineering, University of London, London EC1V 0HB, UK)

  • Gang Xiao

    (Institute for Thermal Power Engineering, College of Energy Engineering, Zhejiang University, 38 Zheda Road, Hangzhou 310027, China)

  • Abdulnaser Sayma

    (Department of Mechanical Engineering & Aeronautics, School of Mathematics, Computer Science & Engineering, University of London, London EC1V 0HB, UK)

Abstract

Solar power microturbines are required to produce steady power despite the fluctuating solar radiation, with concerns on the dispatchability of such plants where thermal energy storage may offer a solution to address the issue. This paper presents a mathematical model for performance prediction of a honeycomb sensible-heat thermal energy storage designed for application of concentrated solar power microturbine. The focus in the model is to consider the laminar developing boundary layers at the entry of the flow channels, which could have a profound effect on the heat-transfer coefficient due to large velocity and temperature gradients, an effect which has not been considered in the modelling of such storage systems. Analysing the thermal and hydrodynamic boundary layer development, the Nusselt number and the friction factor were evaluated using a validated conjugate heat-transfer method. The simulations results were used to develop accurate regression functions for Nusselt number and friction factor. These formulations have been adopted within a one-dimensional model to evaluate the performance of the storage under different operating conditions. The model was in good agreement with conjugate heat transfer results with maximum relative error below 2%. Two case studies are presented to demonstrate the applicability of the proposed methodology.

Suggested Citation

  • Davide Iaria & Xin Zhou & Jafar Al Zaili & Qiang Zhang & Gang Xiao & Abdulnaser Sayma, 2019. "Development of a Model for Performance Analysis of a Honeycomb Thermal Energy Storage for Solar Power Microturbine Applications," Energies, MDPI, vol. 12(20), pages 1-19, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3968-:d:278086
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    References listed on IDEAS

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    1. Budi Kristiawan & Budi Santoso & Agung Tri Wijayanta & Muhammad Aziz & Takahiko Miyazaki, 2018. "Heat Transfer Enhancement of TiO 2 /Water Nanofluid at Laminar and Turbulent Flows: A Numerical Approach for Evaluating the Effect of Nanoparticle Loadings," Energies, MDPI, vol. 11(6), pages 1-15, June.
    2. Mario Cascetta & Fabio Serra & Simone Arena & Efisio Casti & Giorgio Cau & Pierpaolo Puddu, 2016. "Experimental and Numerical Research Activity on a Packed Bed TES System," Energies, MDPI, vol. 9(9), pages 1-13, September.
    3. Davide Iaria & Homam Nipkey & Jafar Al Zaili & Abdulnaser Ibrahim Sayma & Mohsen Assadi, 2018. "Development and Validation of a Thermo-Economic Model for Design Optimisation and Off-Design Performance Evaluation of a Pure Solar Microturbine," Energies, MDPI, vol. 11(11), pages 1-26, November.
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    1. Ghavami, Mohsen & Al-Zaili, Jafar & Sayma, Abdulnaser I., 2022. "A methodology for techno-economic and operation strategy optimisation of micro gas turbine-based solar powered dish-engine systems," Energy, Elsevier, vol. 251(C).

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