2002
DOI: 10.1016/s0360-1323(02)00045-8
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Integrating CFD and building simulation

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Cited by 100 publications
(64 citation statements)
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“…However, in their studies, different coupling methods resulted in dramatically different results for the same airflow problem, which indicated multiple solutions of airflow coupling. Bartak et al (2002) refined the CFD module of ESP-r and summarized the form of the CFD model, described the method used to integrate the thermal and flow domains and reported the outcome from an empirical validation exercise. ) described the implementation of external coupling between building energy simulation and CFD.…”
Section: Simulation Of Temperature Distribution In a Room With Boundamentioning
confidence: 99%
“…However, in their studies, different coupling methods resulted in dramatically different results for the same airflow problem, which indicated multiple solutions of airflow coupling. Bartak et al (2002) refined the CFD module of ESP-r and summarized the form of the CFD model, described the method used to integrate the thermal and flow domains and reported the outcome from an empirical validation exercise. ) described the implementation of external coupling between building energy simulation and CFD.…”
Section: Simulation Of Temperature Distribution In a Room With Boundamentioning
confidence: 99%
“…We used the LMA to measure the ventilation performance for the indoor air freshness [31]. The LMA is an indicator for the average time fresh air takes to reach an arbitrary point in the room from the entrance.…”
Section: Effect Of Overhang On Local Mean Age Of Airmentioning
confidence: 99%
“…The LMA is an indicator for the average time fresh air takes to reach an arbitrary point in the room from the entrance. We calculated the LMA based on the following model equation [31]:…”
Section: Effect Of Overhang On Local Mean Age Of Airmentioning
confidence: 99%
“…(Negrão 1998;Chen 2003, 2004;Zhai et al 2002), passive cooling through night ventilation (Leenknegt et al 2012), naturally ventilated rooms Wong 2008, 2009), evaluating the performance for PCM heat exchangers (Gowreesunker, Tassou, and Kolokotroni 2013) or adaptive coupling with conflation algorithm (Beausoleil-Morrison 2000; Bartak et al 2002) . Due to the continuous increase of the computational load, combining CFD and BES is becoming more and more popular.…”
Section: Coupling Building Energy Simulation and Cfdmentioning
confidence: 99%