@article {32158, title = {Validation of an inverse model of zone air heat balance}, journal = {Building and Environment}, volume = {161}, year = {2019}, month = {Jan-08-2019}, pages = {106232}, abstract = {

This paper presents the validation method and results of an inverse model of zone air heat balance. The inverse model, implemented in EnergyPlus and published in a previous article [1], calculates highly uncertain model parameters such as internal thermal mass and infiltration airflow by inversely solving the zone air heat balance equation using the easy-to-measure zone air temperature data. The paper provides technical details of validation from the experiments using LBNL{\textquoteright}s Facility for Low Energy eXperiment in Buildings (FLEXLAB) that measures zone air temperature under the controlled experiment of two levels of internal mass and four levels of infiltration airflow. The simulation results of the zone infiltration airflow and internal thermal mass from the inverse model agree well with the measured data from the FLEXLAB experiments. The validated inverse model in EnergyPlus can be used to enhance the energy modeling of existing buildings that enables energy performance assessments for energy efficiency improvements.

}, keywords = {Energy simulation, energyplus, infiltration, internal thermal mass, inverse model, sensor data}, issn = {03601323}, doi = {10.1016/j.buildenv.2019.106232}, author = {Lee, Sang Hoon and Hong, Tianzhen} } @proceedings {3408, title = {Validation and Application of the Room Model of the Modelica Buildings Library}, journal = {Proc. of the 9th International Modelica Conference}, year = {2012}, month = {09/2012}, address = {Munich, Germany}, abstract = {

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.

}, author = {Thierry Stephane Nouidui and Phalak, Kaustubh and Wangda Zuo and Michael Wetter} } @article {3182, title = {Validation of the Window Model of the Modelica Buildings Library}, year = {2012}, month = {07/2012}, abstract = {

This 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.

}, author = {Thierry Stephane Nouidui and Michael Wetter and Wangda Zuo} } @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} } @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} } @conference {253, title = {VAV System Optimization through Continuous Commissioning in an Office Building}, booktitle = {the 7th International Conference of Enhanced Building Operations}, year = {2007}, month = {2007}, address = {San Francisco, CA}, author = {Young-Hum Cho and Xiufeng Pang and Mingsheng Liu} } @proceedings {228, title = {Validierung der eindimensionalen hygrothermischen Wandmodelle der Modelica-Bibliothek "BuildingPhysicsLibrary"}, journal = {BauSIM 2006}, year = {2006}, pages = {pp.144-146}, address = {Munich, Germany}, isbn = {978-3-00-019823-6}, issn = {3-00-019823-7}, author = {Thierry Stephane Nouidui and Christoph Nytsch-Geusen and Andreas Holm} } @proceedings {2827, title = {Variable Heat Recovery in Double Bundle Electric Chillers}, journal = {SimBuild 2004, Building Sustainability and Performance Through Simulation}, year = {2004}, month = {08/2004}, address = {Boulder, Colorado, USA}, author = {Richard J. Liesen and Rahul Chillar} } @conference {1955, title = {Virtual Building Environments - Applying Information Modeling to Buildings}, booktitle = {European Conference on Product and Process Modeling in the Building and Construction Industry (ECPPM) 2004}, year = {2004}, month = {09/2004}, address = {Istanbul, Turkey}, abstract = {

A Virtual Building Environment (VBE) is a place where building industry project staffs can get help in creating Building Information Models (BIM) and in the use of virtual buildings. It consists of a group of industry software that is operated by industry experts who are also experts in the use of that software. The purpose of a VBE is to facilitate expert use of appropriate software applications in conjunction with each other to efficiently support multidisciplinary work. This paper defines BIM and virtual buildings, and describes VBE objectives, set-up and characteristics of operation. It informs about the VBE Initiative and the benefits from a couple of early VBE projects.

}, author = {Vladimir Bazjanac} } @conference {2626, title = {VisualDOE {\textendash} A Green Design Tool}, booktitle = {The 4th International Symposium on HVAC}, year = {2003}, month = {2003}, address = {Beijing, China}, author = {Tianzhen Hong and Charles N. Eley and Erik Kolderup} }