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Investigation of mass and heat transfer transitional processes of water droplets in wet gas flow in the framework of energy recovery technologies for biofuel combustion and flue gas removal

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  • Miliauskas, G.
  • Maziukienė, M.
  • Jouhara, H.
  • Poškas, R.

Abstract

In this paper, complex processes of water droplet heat and mass transfer are analyzed in a cycle of condensing, transitional evaporation and equilibrium evaporation regimes during phase change which occurs on a droplet's surface. The dynamics of a heated droplet's surface temperature is directly related to the change in the regimes. The definition of the dynamics is based on a numerical iterative scheme which depends on the balance of a droplet surface's heat flux. In this scheme, the energy of phase change and external heat transfer are combined as well as the internal heat transfer occurring in droplets. The numerical investigation results of the water droplets' phase change were used as a basis while defining the inputs provided by the droplet slipping and the radiation absorbed in the flue gas within the interactions between the processes of complex transitional transfers. For this investigation, the conditions have been set to be typical for heat utilization technologies and biofuel furnaces used in flue gas removal.

Suggested Citation

  • Miliauskas, G. & Maziukienė, M. & Jouhara, H. & Poškas, R., 2019. "Investigation of mass and heat transfer transitional processes of water droplets in wet gas flow in the framework of energy recovery technologies for biofuel combustion and flue gas removal," Energy, Elsevier, vol. 173(C), pages 740-754.
    • Handle: RePEc:eee:energy:v:173:y:2019:i:c:p:740-754
    DOI: 10.1016/j.energy.2019.02.101
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    References listed on IDEAS

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    Cited by:

    1. Mao, Ning & Azman, Amirah Nabilah & Ding, Guangxin & Jin, Yubo & Kang, Can & Kim, Hyoung-Bum, 2022. "Black-box real-time identification of sub-regime of gas-liquid flow using Ultrasound Doppler Velocimetry with deep learning," Energy, Elsevier, vol. 239(PD).
    2. Zhang, Lifeng & Zhang, Sijia, 2023. "Analysis and identification of gas-liquid two-phase flow pattern based on multi-scale power spectral entropy and pseudo-image encoding," Energy, Elsevier, vol. 282(C).
    3. Poškas, Robertas & Sirvydas, Arūnas & Mingilaitė, Laura & Poškas, Povilas & Jouhara, Hussam, 2024. "Investigation of effect of cooling water characteristics on flue gas condensation along vertical tube heat exchanger," Energy, Elsevier, vol. 289(C).
    4. Miliauskas, Gintautas & Puida, Egidijus & Poškas, Robertas & Ragaišis, Valdas & Paukštaitis, Linas & Jouhara, Hussam & Mingilaitė, Laura, 2022. "Experimental investigations of water droplet transient phase changes in flue gas flow in the range of temperatures characteristic of condensing economizer technologies," Energy, Elsevier, vol. 256(C).
    5. Lin, Zi & Liu, Xiaolei & Lao, Liyun & Liu, Hengxu, 2020. "Prediction of two-phase flow patterns in upward inclined pipes via deep learning," Energy, Elsevier, vol. 210(C).
    6. Miliauskas, Gintautas & Puida, Egidijus & Poškas, Robertas & Poškas, Povilas & Balčius, Algimantas & Jouhara, Hussam, 2022. "The modeling of transient phase changes of water droplets in flue gas flow in the range of temperatures characteristic of condensing economizer technologies," Energy, Elsevier, vol. 257(C).
    7. Gintautas Miliauskas & Egidijus Puida & Robertas Poškas & Povilas Poškas, 2021. "The Influence of Droplet Dispersity on Droplet Vaporization in the High-Temperature Wet Gas Flow in the Case of Combined Heating," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    8. Nassef, Ahmed M. & Olabi, A.G. & Rodriguez, Cristina & Abdelkareem, Mohammad Ali & Rezk, Hegazy, 2021. "Optimal operating parameter determination and modeling to enhance methane production from macroalgae," Renewable Energy, Elsevier, vol. 163(C), pages 2190-2197.

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