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Application of Thermo-fluid Processes in Energy Systems pp 173–202Cite as

Enhanced Thermo-Fluid Dynamic Modelling Methodologies for Convective Boiling

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Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Analytical tools embedded in current thermal design practice for convective boiling systems are traditionally built upon correlated empirical data, which are constrained by the thermo-fluid dynamical complexities associated with stochastic and interactive behaviour of boiling fluid mixtures. These methodologies typically overlook or under-represent key characterising aspects of bubble growth dynamics, vapour/liquid momentum exchange, boiling fluid composition and local phase drag effects in boiling processes, making them inherently an imprecise science. Resulting predictive uncertainties in parametric estimations compromise the optimal design potential for convective boiling systems and contribute to operational instabilities, poor thermal effectiveness and resource wastage in these technologies. This book chapter first discusses the scientific evolution of current boiling analytical practice and predictive methodologies, with an overview of their technical limitations. Forming a foundation for advanced boiling design methodology, it then presents novel thermal and fluid dynamical enhancement strategies that improve modelling precision and realistic processes description. Supported by experimental validations, the applicability of the proposed strategies is ascertained for the entire convective boiling flow regime, which is currently not possible with existing methods. The energy-saving potential and thermal effectiveness underpinned by these modelling enhancements are appraised for their possible contributions towards a sustainable energy future.

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Abbreviations

\(C_{d}\) :

Drag coefficient

\(C_{p}\) :

Specific heat (J/kg-K)

\(D_{w}\) :

Bubble departure diameter (m)

\(E\) :

Energy rate (W/m3)

\(f\) :

Bubble departure frequency (Hz)

\(\vec{F}_{lift}\) :

Lift force (N)

\(\vec{F}^{TD}\) :

Turbulence drift force (N)

\(\vec{F}_{wl}\) :

Wall lubrication force (N)

\(g\) :

Gravity (m/s2)

\(G\) :

Mass flow rate (kg/s)

\(H\) :

Enthalpy (kJ/kg)

\(h_{\lg }\) :

Latent heat (kJ/kg)

\(h_{sl}\) :

Interfacial heat transfer coefficient (W/m2-K)

\(Ja\) :

Jacob number

\(k\) :

Turbulent kinetic energy (m2/s2)

\(k_{eff}\) :

Effective conductivity (W/m-K)

\(K_{pq}\) :

Interfacial momentum transfer coefficient

\(L\) :

Total length of the channel

\(L_{H}\) :

Heated length of the channel

\(\dot{m}\) :

Mass flux (kg/m2-s)

\(p\) :

Pressure (Pa)

\(\dot{q}\) :

Heat flux (W/m2)

\(r_{c}\) :

Cavity radius (m)

\(T\) :

Temperature (K)

\(u^{*}\) :

Frictional velocity on the wall (m/s)

\(v\) :

Velocity (m/s)

\(\nabla \vec{V}\) :

Mean strain rate tensor

\(\nabla \vec{V}^{T}\) :

Turbulent strain rate tensor

\(We_{s}\) :

Surface Weber number

\(y^{ + }\) :

Dimensionless distance from wall

\(Y^{*}\) :

Dimensionless vertical distance from centre of channel

\(Z^{*}\) :

Dimensionless axial distance from channel inlet

b :

Bubble

d :

Droplet

b,d :

Bubble or droplet

E :

Evaporative

L :

Liquid

m :

Mixture

p :

Primary phase

q :

Secondary phase

Q :

Quenching

Sat :

Saturation

Sub :

Subcooled

Sup :

Superheated

v :

Vapour

w :

Wall

\(\alpha\) :

Volume fraction

\(\mu\) :

Viscosity (kg/m-s)

\(\rho\) :

Density (kg/m3)

\(\sigma\) :

Surface tension coefficient (n/m)

\(\bar{\tau }\) :

Stress tensor

\(\tau_{D}\) :

Bubble dwelling time (s)

\(\tau_{G}\) :

Bubble growth time (s)

\(\omega\) :

Specific dissipation rate (1/s)

\(\lambda\) :

Thermal diffusivity \((k/\rho c_{p} )\)

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Curtin University, GPO Box U1987, Perth, WA, WA6845, Australia

    Tilak T. Chandratilleke & Nima Nadim

Authors
  1. Tilak T. Chandratilleke
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  2. Nima Nadim
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Corresponding author

Correspondence to Tilak T. Chandratilleke .

Editor information

Editors and Affiliations

  1. School of Engineering and Technology, Central Queensland University, Rockhampton, Queensland, Australia

    M. Masud K. Khan

  2. School of Engineering and Technology, Central Queensland University, Gladstone, Queensland, Australia

    Ashfaque Ahmed Chowdhury

  3. School of Engineering and Technology, Central Queensland University, Cairns, Queensland, Australia

    Nur M. Sayeed Hassan

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Chandratilleke, T.T., Nadim, N. (2018). Enhanced Thermo-Fluid Dynamic Modelling Methodologies for Convective Boiling. In: Khan, M., Chowdhury, A., Hassan, N. (eds) Application of Thermo-fluid Processes in Energy Systems. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-10-0697-5_8

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  • DOI: https://doi.org/10.1007/978-981-10-0697-5_8

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  • Online ISBN: 978-981-10-0697-5

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