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3D internal forced convection heat-transfer correlations from CFD for building performance simulation

Identificadores del recurso

1997-003X

1994-2060

http://hdl.handle.net/10498/30817

10.1080/19942060.2018.1476267

Origin

(Repositorio de Objetos de Docencia e Investigación: RODIN)

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Title:: 3D internal forced convection heat-transfer correlations from CFD for building performance simulation
Tema:: Correlation heat-transfer coefficient; forced convection; CFD
Description:: This study presents new correlations for internal forced convective heat-transfer coefficients (CHTCs) in buildings. CHTCs are used by building energy performance simulation (BES) tools to estimate the annual heating and cooling demands of buildings. Most programs use constant values or correlations but do not consider in detail the 3D geometry or the dimensions and positions of the inlet and outlet openings. The correlations developed here take into account 3D geometry and the dimensions and positions of the inlet/outlet openings in opposite walls. A new methodology has been developed for the calculation of CHTCs in 3D enclosures from two 2D planes, one with a horizontal orientation and another with a vertical orientation. Comparing the results from correlations with those from computational fluid dynamics (CFD) simulations, the errors found are less than 15%. These correlations are easy to use in BES.; This work is linked to the project entitled ‘Distritos de balance energetico nulo mediante algoritmos de confort adaptativo y gestión óptima de redes energéticas’ (BIA2016-77431-C2-2-R), funded by ‘Ministerio de Economía Industria y Competitividad’ (Spanish Government)
Source:: Engineering Applications of Computational Fluid Mechanics, Vol. 12, Núm. 1, 2018, pp. 553-566
Idioma:: English
Autor/Productor:: Rincón Casado, Alejandro; Sánchez de la Flor, Francisco José
Publisher:: Taylor
Otros colaboradores/productores:: Ingeniería Mecánica y Diseño Industrial; Máquinas y Motores Térmicos
Rights:: Attribution-NonCommercial-NoDerivatives 4.0 Internacional; http://creativecommons.org/licenses/by-nc-nd/4.0/; open access
Date:: 2024-02-08T09:52:50Z; 2018-06-26
Tipo de recurso:: journal article; VoR
Format:: application/pdf

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1. <dc:title>3D internal forced convection heat-transfer correlations from CFD for building performance simulation</dc:title>
2. <dc:creator>Rincón Casado, Alejandro</dc:creator>
3. <dc:creator>Sánchez de la Flor, Francisco José</dc:creator>
4. <dc:contributor>Ingeniería Mecánica y Diseño Industrial</dc:contributor>
5. <dc:contributor>Máquinas y Motores Térmicos</dc:contributor>
6. <dc:subject>Correlation heat-transfer coefficient</dc:subject>
7. <dc:subject>forced convection</dc:subject>
8. <dc:subject>CFD</dc:subject>
9. <dc:description>This study presents new correlations for internal forced convective heat-transfer coefficients (CHTCs) in buildings. CHTCs are used by building energy performance simulation (BES) tools to estimate the annual heating and cooling demands of buildings. Most programs use constant values or correlations but do not consider in detail the 3D geometry or the dimensions and positions of the inlet and outlet openings. The correlations developed here take into account 3D geometry and the dimensions and positions of the inlet/outlet openings in opposite walls. A new methodology has been developed for the calculation of CHTCs in 3D enclosures from two 2D planes, one with a horizontal orientation and another with a vertical orientation. Comparing the results from correlations with those from computational fluid dynamics (CFD) simulations, the errors found are less than 15%. These correlations are easy to use in BES.</dc:description>
10. <dc:description>This work is linked to the project entitled ‘Distritos de balance energetico nulo mediante algoritmos de confort adaptativo y gestión óptima de redes energéticas’ (BIA2016-77431-C2-2-R), funded by ‘Ministerio de Economía Industria y Competitividad’ (Spanish Government)</dc:description>
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16. <dc:identifier>1997-003X</dc:identifier>
17. <dc:identifier>1994-2060</dc:identifier>
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26. <dc:source>Engineering Applications of Computational Fluid Mechanics, Vol. 12, Núm. 1, 2018, pp. 553-566</dc:source>
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