David Park; Francine Battaglia · 10.1115/fedsm2016-7639 https://doi.org/10.1115/fedsm2016-7639
Volume 1A, Symposia: Turbomachinery Flow Simulation and Optimization; Applications in CFD; Bio-Inspired and Bio-Medical Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES and Hybrid RANS/LES Methods; Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Active Fluid Dynamics and Flow Control — Theory, Experiments and Implementation
Building ventilation
Numerical / CFD
2016
Volume 1A, Symposia: Turbomachinery Flow Simulation and Optimization; Applications in CFD; Bio-Inspired and Bio-Medical Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES and Hybrid RANS/LES Methods; Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Active Fluid Dynamics and Flow Control — Theory, Experiments and Implementation
no
2016-07-10 12:00:00 00003125
small and full-scale modeling for the application of wall solar chimneys
2016
Volume 1A, Symposia: Turbomachinery Flow Simulation and Optimization; Applications in CFD; Bio-Inspired and Bio-Medical Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES and Hybrid RANS/LES Methods; Fluid Machinery; Fluid-Structure Interaction and Flow-Induced Noise in Industrial Applications; Flow Applications in Aerospace; Active Fluid Dynamics and Flow Control — Theory, Experiments and Implementation
David Park; Francine Battaglia
10.1115/fedsm2016-7639
Summary
Investigates how small-scale models of a building with a wall solar chimney relate to full-scale ones, using CFD validated against earlier experiments and varying window position. Dimensionless velocity and temperature correlations held for every window position, and a regression model derived through Buckingham pi analysis matched the simulations within about 2.3%, so small models can predict large-building ventilation.
Description written by Solar Tower. The original abstract is available from the publisher via the link below.
Open source