01281nas a2200145 4500008004100000245008300041210006900124260002900193520073500222100003100957700002100988700001601009700002001025856009001045 2012 eng d00aValidation and Application of the Room Model of the Modelica Buildings Library0 aValidation and Application of the Room Model of the Modelica Bui aMunich, Germanyc09/20123 a
The Modelica Buildings library contains a package with a model for a thermal zone that computes heat transfer through the building envelope and within a room. It considers various heat transfer phenomena of a room, including conduction, convection, short-wave and long-wave radiation. The first part of this paper describes the physical phenomena considered in the room model. The second part validates the room model by using a standard test suite provided by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). The third part focuses on an application where the room model is used for simulation-based controls of a window shading device to reduce building energy consumption.
1 aNouidui, Thierry, Stephane1 aPhalak, Kaustubh1 aZuo, Wangda1 aWetter, Michael uhttps://simulationresearch.lbl.gov/publications/validation-and-application-room-model01198nas a2200133 4500008003900000245006900039210006900108260001200177520072300189100003100912700002000943700001600963856008500979 2012 d00aValidation of the Window Model of the Modelica Buildings Library0 aValidation of the Window Model of the Modelica Buildings Library c07/20123 aThis paper describes the validation of the window model of the free open-source Modelica Buildings library. This paper starts by describing the physical modeling assumptions of the window model. The window model can be used to calculate the thermal and angular properties of glazing systems. It can also be used for steady-state simulation of heat transfer mechanism in glazing systems. We present simulation results obtained by comparing the window model with WINDOW 6 the well established simulation tool for steady-state heat transfer in glazing systems. We also present results obtained by comparing the window model with measurements carried out in a test cell at the Lawrence Berkeley National Laboratory.
1 aNouidui, Thierry, Stephane1 aWetter, Michael1 aZuo, Wangda uhttps://simulationresearch.lbl.gov/publications/validation-window-model-modelica00498nas a2200133 4500008004100000245008700041210006900128260001600197300001400213100001700227700001600244700001800260856008600278 2012 eng d00aValidation of three dimensional fast fluid dynamics for indoor airflow simulations0 aValidation of three dimensional fast fluid dynamics for indoor a aBoulder, CO a1055-10621 aJin, Mingang1 aZuo, Wangda1 aChen, Qingyan uhttps://simulationresearch.lbl.gov/publications/validation-three-dimensional-fast01525nas a2200169 4500008004100000245011000041210006900151260002700220520091900247653000801166653000801174653002201182653002801204100001601232700001801248856008901266 2011 eng d00aValidation of a Fast-Fluid-Dynamics Model for Predicting Distribution of Particles with Low Stokes Number0 aValidation of a FastFluidDynamics Model for Predicting Distribut aAustin, Texasc06/20113 aTo 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.10acfd10affd10alow stokes number10aparticle transportation1 aZuo, Wangda1 aChen, Qingyan uhttps://simulationresearch.lbl.gov/publications/validation-fast-fluid-dynamics-model00426nas a2200121 4500008004100000245005500041210005500096260001900151300001200170100001600182700001800198856008800216 2007 eng d00aValidation of fast fluid dynamics for room airflow0 aValidation of fast fluid dynamics for room airflow aBeijing, China a980-9831 aZuo, Wangda1 aChen, Qingyan uhttps://simulationresearch.lbl.gov/publications/validation-fast-fluid-dynamics-room