@article {2581, title = {Reduction of numerical viscosity in FFD model}, journal = {Engineering Applications of Computational Fluid Mechanics}, volume = {6}, year = {2012}, pages = {234-247}, author = {Wangda Zuo and Mingang Jin and Qingyan Chen} } @proceedings {3405, title = {Validation of three dimensional fast fluid dynamics for indoor airflow simulations}, journal = {the 2nd International Conference on Building Energy and Environment (COBEE2012)}, year = {2012}, pages = {1055-1062}, address = {Boulder, CO}, author = {Mingang Jin and Wangda Zuo and Qingyan Chen} } @proceedings {2784, title = {Validation of a Fast-Fluid-Dynamics Model for Predicting Distribution of Particles with Low Stokes Number}, journal = {12th International Conference on Indoor Air Quality and Climate (Indoor Air 2011)}, year = {2011}, month = {06/2011}, address = {Austin, Texas}, abstract = {To design a healthy indoor environment, it is important to study airborne particle distribution indoors. As an intermediate model between multizone models and computational fluid dynamics (CFD), a fast fluid dynamics (FFD) model can be used to provide temporal and spatial information of particle dispersion in real time. This study evaluated the accuracy of the FFD for predicting transportation of particles with low Stokes number in a duct and in a room with mixed convection. The evaluation was to compare the numerical results calculated by the FFD with the corresponding experimental data and the results obtained by the CFD. The comparison showed that the FFD could capture major pattern of particle dispersion, which is missed in models with well-mixed assumptions. Although the FFD was less accurate than the CFD partially due to its simplification in numeric schemes, it was 53 times faster than the CFD.}, keywords = {cfd, ffd, low stokes number, particle transportation}, author = {Wangda Zuo and Qingyan Chen} } @article {212, title = {Fast and informative flow simulation in a building by using fast fluid dynamics model on graphics processing unit}, journal = {Building and Environment}, volume = {45}, year = {2010}, pages = {747-757}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {216, title = {Fast simulation of smoke transport in buildings}, journal = {the 41st International HVAC\&R congress}, year = {2010}, address = {Beograd, Serbian}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {217, title = {Impact of time-splitting schemes on the accuracy of FFD simulations}, journal = {the 7th International Indoor Air Quality, Ventilation and Energy Conservation in Buildings Conference (IAQVEC 2010)}, year = {2010}, pages = {55-60}, address = {Syracuse, NY}, author = {Jianjun Hu and Wangda Zuo and Qingyan Chen} } @article {211, title = {Improvements on FFD modeling by using different numerical schemes}, journal = {Numerical Heat Transfer, Part B Fundamentals}, volume = {58}, year = {2010}, pages = {1-16}, author = {Wangda Zuo and Jianjun Hu and Qingyan Chen} } @proceedings {218, title = {Improvements on the fast fluid dynamics model for indoor airflow simulation}, journal = {the 4th National Conference of IBPSA-USA (SimBuild2010)}, year = {2010}, pages = {539-546}, address = {New York, NY}, author = {Wangda Zuo and Qingyan Chen} } @article {210, title = {Simulations of air distribution in buildings by FFD on GPU}, journal = {HVAC\&R Research}, volume = {16}, year = {2010}, pages = {783-796}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {220, title = {Fast parallelized flow simulations on graphic processing units}, journal = {the 11th International Conference on Air Distribution in Rooms (RoomVent 2009)}, year = {2009}, address = {Busan, Korea}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {219, title = {High performance computing for indoor air}, journal = {11th International IBPSA Conference (Building Simulation 2009)}, year = {2009}, pages = {244-249}, address = {Glasgow, U.K.}, author = {Wangda Zuo and Qingyan Chen} } @article {213, title = {Real time or faster-than-real-time simulation of airflow in buildings}, journal = {Indoor Air}, volume = {19}, year = {2009}, pages = {33-44}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {223, title = {Computational fluid dynamics for indoor environment modeling: past, present, and future}, journal = {the 6th International Indoor Air Quality, Ventilation and Energy Conservation in Buildings Conference (IAQVEC 2007)}, year = {2007}, pages = {1-9}, address = {Sendai, Japan}, author = {Qingyan Chen and Zhao Zhang and Wangda Zuo} } @proceedings {221, title = {Real time airflow simulation in buildings}, journal = {the 6th International Indoor Air Quality, Ventilation and Energy Conservation in Buildings Conference (IAQVEC 2007)}, year = {2007}, pages = {459-466}, address = {Sendai, Japan}, author = {Wangda Zuo and Qingyan Chen} } @proceedings {222, title = {Validation of fast fluid dynamics for room airflow}, journal = {the 10th International IBPSA Conference (Building Simulation 2007)}, year = {2007}, pages = {980-983}, address = {Beijing, China}, author = {Wangda Zuo and Qingyan Chen} } @article {2590, title = {Framework for Coupling Room Air Models to Heat Balance Model Load and Energy Calculations (RP-1222)}, journal = {HVAC\&R Research (ASHRAE)}, volume = {10}, year = {2004}, month = {04/2004}, author = {Brent T. Griffith and Qingyan Chen} } @article {302, title = {On Approaches to Couple Energy Simulation and Computational Fluid Dynamics Programs}, journal = {Building and Environment}, volume = {37}, year = {2002}, chapter = {857}, abstract = {

Energy simulation (ES) and computational fluid dynamics (CFD) can play important roles in building design by providing complementary information about the buildings{\textquoteright} environmental performance. However, separate applications of ES and CFD are usually unable to give an accurate prediction of building performance due to the assumptions involved in the separate calculations. Integration of ES and CFD eliminates many of these assumptions since the information provided by the models is complementary. Several different approaches to integrating ES and CFD are described. In order to bridge the discontinuities of time-scale, spatial resolution and computing speed between ES and CFD programs, a staged coupling strategy for different problems is proposed. The paper illustrates a typical dynamic coupling process by means of an example implemented using the EnergyPlus and MIT-CFD programs.

}, author = {Zhiqiang Zhai and Qingyan Chen and Philip Haves and Joseph H. Klems} } @conference {1850, title = {Strategies for Coupling Energy Simulation Programs and Computational Fluid Dynamics Programs}, booktitle = {Building Sim 2001}, volume = {1}, year = {2001}, month = {08/2001}, pages = {59-66}, address = {Rio de Janeiro, Brazil}, abstract = {

Energy simulation (ES) and computational fluid dynamics (CFD) can play important roles in building design by providing complementary information about the buildings{\textquoteright} environmental performance. However, separate applications of ES and CFD are usually unable to give an accurate prediction of building performance due to the assumptions involved in the separate calculations. Integration of ES and CFD eliminates many of these assumptions since the information provided by the models is complementary. Several different approaches to integrating ES and CFD are described. In order to bridge the discontinuities of time-scale, spatial resolution and computing speed between ES and CFD programs, a staged coupling strategy for different problems is proposed. The paper illustrates a typical dynamic coupling process by means of an example implemented using the EnergyPlus and MIT-CFD programs.

}, author = {Zhiqiang Zhai and Qingyan Chen and Joseph H. Klems and Philip Haves} } @proceedings {310, title = {Better IAQ Through Integrating Design Tools For The HVAC Industry}, journal = {Healthy Buildings 2000}, year = {2000}, month = {08/2000}, address = {Espoo, Finland}, abstract = {

There is currently no effective combination of interoperable design tools to cover all critical aspects of the HVAC design process. Existing design tools are separately available, but require expertise and operating time that is beyond the scope of a normal design project. For example, energy analysis and computational fluid dynamics (CFD) tools are not used in practical design, leading to poor indoor air quality and/or unnecessary energy consumption in buildings.

A prototype integrated software tool for demonstration, process mapping and proof-of-concept purposes was developed under a new international, Finland/USA jointly funded development project BildIT. Individual design tools were simplified and adapted to specific applications and also integrated so that they can be used in a timely and effective manner by the designer. The core of the prototype linked together an architectural CAD system, a 3D space model, a CFD program and a building energy simulation program and it utilises real product data from manufacturer{\textquoteright}s software. Also the complex building design, construction, maintenance and retrofit processes were mapped to get a template for the structure of the integrated design tool.

}, author = {Tuomas Laine and Risto Kosonen and Kim Hagstr{\"o}m and Panu Mustakallio and De-Wei Yin and Philip Haves and Qingyan Chen} }