TY - JOUR
T1 - CHAMPS-MultizoneA combined heat, air, moisture and pollutant simulation environment for whole-building performance analysis
AU - Feng, Wei
AU - Grunewald, John
AU - Nicolai, Andreas
AU - Zhang, Carey
AU - Zhang, J. S.
PY - 2012/2/1
Y1 - 2012/2/1
N2 - A computer simulation tool, named CHAMPS-Multizone, is introduced in this article for analyzing both energy and indoor air quality (IAQ) performance of buildings. The simulation model accounts for the dynamic effects of outdoor climate conditions (solar radiation, wind speed and direction, and contaminant concentrations), building materials and envelope system design, multi-zone air and contaminant flows in buildings, internal heat and pollutant sources, and operation of the building HVAC systems on the building performance. It enables combined analysis of building energy efficiency and indoor air quality. The model also has the ability to input building geometry data and HVAC system operation related information from software, such as SketchUp and DesignBuilder via IDF file format. A bridge to access static and dynamic building data stored in a Virtual Building database is also developed, allowing convenient input of initial and boundary conditions for the simulation and for comparisons between the predicted and measured results. This article summarizes the mathematical models, adopted assumptions, methods of implementation, and verification and validation results. The needs and challenges for further development are also discussed.
AB - A computer simulation tool, named CHAMPS-Multizone, is introduced in this article for analyzing both energy and indoor air quality (IAQ) performance of buildings. The simulation model accounts for the dynamic effects of outdoor climate conditions (solar radiation, wind speed and direction, and contaminant concentrations), building materials and envelope system design, multi-zone air and contaminant flows in buildings, internal heat and pollutant sources, and operation of the building HVAC systems on the building performance. It enables combined analysis of building energy efficiency and indoor air quality. The model also has the ability to input building geometry data and HVAC system operation related information from software, such as SketchUp and DesignBuilder via IDF file format. A bridge to access static and dynamic building data stored in a Virtual Building database is also developed, allowing convenient input of initial and boundary conditions for the simulation and for comparisons between the predicted and measured results. This article summarizes the mathematical models, adopted assumptions, methods of implementation, and verification and validation results. The needs and challenges for further development are also discussed.
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U2 - 10.1080/10789669.2011.587585
DO - 10.1080/10789669.2011.587585
M3 - Article
AN - SCOPUS:84860792602
SN - 1078-9669
VL - 18
SP - 233
EP - 251
JO - HVAC and R Research
JF - HVAC and R Research
IS - 1-2
ER -