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DEVELOPMENT OF CFD SIMULATION APPLICATIONS FOR LOCAL-SCALE AREAS AND POTENTIAL INTERFACE WITH MESOSCALE MODELS
Citation:
Huber, A. H. DEVELOPMENT OF CFD SIMULATION APPLICATIONS FOR LOCAL-SCALE AREAS AND POTENTIAL INTERFACE WITH MESOSCALE MODELS. Presented at Workshop on Mergng Mesoscale & Computational Fluid Dymanics, Seattle, WA, January 11, 2004.
Impact/Purpose:
The scientific modeling expertise of NERL/AMD technical staff often results in requests for staff participation in research planning and evaluation exercises and meetings both within EPA/ORD and in other research venues, including NOAA, NSF, DOE, and various public/private research efforts. Technical support is also requested for EPA/OAR programs for implementation of NAAQS for criteria pollutants. Staff participation in these exercises results in providing needed assistance to clients, broadening the experience base, perspective, and appreciation of the clients' needs by the AMD scientific staff, improved scientific interactions with research and regulatory colleagues, and increased visibility for NERL AMD programs.
Description:
The presentation summarizes developments of ongoing applications of fine-scale (geometry specific) CFD simulations to urban areas within atmospheric boundary layers. Enabling technology today and challenges for the future are discussed. There is a challenging need to develop a two-way interface between these simulations with mesoscale model applications on a course scale (not CFD geometry specific). The key element of CFD simulations is their ability to simulate the precise effects of specific geometry. The steps in setting up a CFD model is reviewed through an example of buildings in lower Manhattan. CFD simulation can be applied both to resolve fine-scale air dispersion when it is desirable and as a base to develop parameterization for a course-scale mesoscale model. CFD models are being evaluated through comparisons with wind tunnel model and field study data. Present studies and developments are being used to develop standard practice and identify how best to improve computational efficiencies.
The U.S. Environmental Protection Agency through its Office of Research and Development funded the research described here. It is subjected to Agency review. Mention of trade names or commercial products does not constitute an endorsement or recommendation for use.