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Advanced Building Simulation

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the Reynolds average rules can be summarized as:<br />

ui � Ui � Ui, ui� � 0, ui�U j � 0,<br />

ui � uj � Ui � Uj, uiuj � UiUj � ui�u j�<br />

(5.8)<br />

Note that the bars in Equation 5.8 stand for “statistical average” and are different<br />

from those used for LES. In LES, those bars represent grid filtering.<br />

By applying the Reynolds averaging method to the Navier–Stokes and continuity<br />

equation, they become:<br />

�U i<br />

�t<br />

�U i<br />

�x i<br />

(5.9)<br />

(5.10)<br />

where ui�u j� is the Reynolds stress that is unknown and must be modeled. In the last<br />

century, numerous turbulence models have been developed to represent ui�u j�.<br />

Depending on how the Reynolds stress is modeled, RANS turbulence modeling can<br />

be further divided into Reynolds stress models and eddy-viscosity models. For simplicity,<br />

this chapter discusses only eddy-viscosity turbulence models that adopt the<br />

Boussinesq approximation (1877) to relate Reynolds stress to the rate of mean stream<br />

through an “eddy” viscosity �t. (5.11)<br />

where �ij is the Kronecker delta (when i≠j, �ij�0; and when i�j, �ij�1), and k is the<br />

turbulence kinetic energy (k � ui�u i�/2) . Among hundreds of eddy-viscosity models,<br />

the standard k–� model (Launder and Spalding 1974) is most popular. The standard<br />

k–� model solves eddy viscosity through<br />

(5.12)<br />

where C ��0.09 is an empirical constant. The k and � can be determined by solving<br />

two additional transport equations:<br />

where<br />

u i�u j� �<br />

�k<br />

Uj �xj ��<br />

Uj �xj �Ui � Uj �xj �<br />

�u i�<br />

�x i<br />

k<br />

�t � C� 2<br />

�<br />

�<br />

�<br />

P � �<br />

1<br />

t<br />

2<br />

� 0<br />

2<br />

�<br />

3<br />

ijk � �t� �Ui �xj �<br />

�x j�� � �<br />

�<br />

�x j�� � �<br />

� �U i<br />

�x j<br />

� � 1 �<br />

�<br />

�P<br />

�x i<br />

� t<br />

� k� �k<br />

�x j� � P � �<br />

� t<br />

� �� ��<br />

�x j� � [C �1P � C �2�] �<br />

k<br />

�U j<br />

�x i� 2<br />

�<br />

�<br />

�Uj �xi� CFD tools for indoor environmental design 123<br />

�<br />

�xj�� �Ui �xj � u i�u j��<br />

(5.13)<br />

(5.14)<br />

(5.15)

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