Thermal Radiation Heat Transfer
Abstract
Explore the Radiative Exchange between SurfacesFurther expanding on the changes made to the fifth edition, Thermal Radiation Heat Transfer, 6th Edition continues to highlight the relevance of thermal radiative transfer and focus on concepts that develop the radiative transfer equation (RTE).The book explains the fundamentals of radiative transfer,
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The absorbance of water is approximately 10^3-10^4 times stronger for near-infrared light and 10^4-10^6 times stronger for the mid and far infrared parts of the spectrum compared to visible light.
“In comparison to visible light, the absorbance of water is approximately 10 3 -10 4 times stronger for near-infrared light and 10 4 -10 6 times stronger for the mid and far infrared parts of the spectrum [115].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [115]
The high computational costs of radiative transfer calculations are because numerical schemes such as the Discrete Ordinate Method require angular discretization in addition to spatial discretization.
“The reason for the high computational costs of radiative transfer calculations is that numerical schemes as the Discrete Ordinate Method (DOM) require an angular discretization in addition to the discretization of space [115,200].”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [115]
The RTE for thermal radiation contains an additional term for temperature-dependent emission of black-body radiation compared with Equation (3), which is required to ensure the conservation of energy.
“Compared with Equation (3), Equation (25) contains an additional term for the temperature-dependent emission of black-body radiation Lb [115], which is required to ensure the conservation of energy.”
From Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review (2022) · cites this paper as [115]
Cited by
Sorted by citations
Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review
Luzi, G., & McHardy, C. (2022) · Energies · doi:10.3390/en15113966 · Cited by 44 · see citing works
Photobioreactor Modeling and Radiative Transfer Analysis for Engineering Purposes
Dauchet, J., Cornet, J.-F., Gros, F., Roudet, M., & Dussap, C.-G. (2016) · Advances in Chemical Engineering · doi:10.1016/bs.ache.2015.11.003 · Cited by 28 · see citing works
McHardy, C., Horneber, T., & Rauh, C. (2018) · Applied Mathematics and Computation · doi:10.1016/j.amc.2017.01.045 · Cited by 12 · see citing works
- Authors
- Howell, J. R., Menguc, M. P., & Siegel, R.
- Venue
- CRC Press eBooks
- Publisher
- CRC Press
- Published
- 2015-09-18
- OpenAlex
- W3046968546
- Cited by
- 1,383
- References
- 0
- Citations by year
- 2026: 14 · 2025: 25 · 2024: 32 · 2023: 48 · 2022: 50 · 2021: 73 · 2020: 110 · 2019: 79 · 2018: 82 · 2017: 54 · 2016: 26 · 2015: 17 · 2014: 25 · 2013: 21 · 2012: 13
- FWCI
- 23.50
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- CRC Press eBooks (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Radiative Heat Transfer Studies
- Physical Sciences › Engineering › Civil and Structural Engineering › Thermal Radiation and Cooling Technologies
- Physical Sciences › Engineering › Aerospace Engineering › Calibration and Measurement Techniques
- Keywords
- thermal radiation, radiative transfer, radiative transfer equation
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