AAAR 35th Annual Conference October 17 - October 21, 2016 Oregon Convention Center Portland, Oregon, USA
Abstract View
Atmospheric Simulation within the WRF Model for SALSCS Evaluation
QINGFENG CAO, Lian Shen, David Y. H. Pui, University of Minnesota
Abstract Number: 492 Working Group: Control and Mitigation Technology
Abstract A Solar-Assisted Large-Scale Cleaning System (SALSCS) was proposed previously, which was aimed at generating large quantities of air flow for air pollution remediation. Numerical models were developed within ANSYS Fluent to estimate the flow rate driven by each SALSCS system to be 2.64×105 m3/s. To evaluate how much air pollution the SALSCS system is able to clean up for a city area, our current work involves utilizing the Weather Research and Forecasting (WRF) model to simulate the atmospheric flow with air pollution considered over the terrain of Beijing city and its surrounding regions. The flow rate generated by each SALSCS has been implemented into the WRF model by specifying the updraft velocity at the grid cells occupied by the system in the computational domain according to the previously obtained flow rate. Locations of the total six SALSCS systems are determined in the surrounding regions of Beijing. Air pollution over the Beijing terrain and clean air emitted by each of the six SALSCS are modeled as tracers which are passive scalars in the current model. 2D and 3D visualizations of the air pollution and clean air has been created to show the transient processes of the air pollution mitigation by SALSCS and transportation of both the air pollution and clean air driven by the winds under certain meteorological conditions. Quantitative analysis has also been conducted on the tracer fields for evaluating the ability of SALSCS of remediating air pollution and emitting clean air into the atmosphere above the city.