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# National Environmental Research Institute, University of Aarhus, Denmark Use of the Thompson wind tunnel data set – a few examples Ruwim Berkowicz and.

## Presentation on theme: "National Environmental Research Institute, University of Aarhus, Denmark Use of the Thompson wind tunnel data set – a few examples Ruwim Berkowicz and."— Presentation transcript:

National Environmental Research Institute, University of Aarhus, Denmark Use of the Thompson wind tunnel data set – a few examples Ruwim Berkowicz and Helge Rørdam Olesen

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Excel workbooks The subsequent charts are copied from Excel workbooks that are freely available through http://www.dmu.dk/International/Air/Models/Backgro und/Thompson_Intro.htmhttp://www.dmu.dk/International/Air/Models/Backgro und/Thompson_Intro.htm Each workbook contains a chart, depicting a stack, a building and a concentration profile. This chart is dynamic, so the user can vary the stack height or the stack location (using arrow keys in Excel). The chart shows the resulting changes in concentrations according to both measurements and models.

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Layout of chart: Sketch of stack and building Wind Full-drawn black curve: Measured concentration at ground-level along a line through the center of the building. Both stack and building height is 150 units.

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data The chart holds curves modelled by several models: AERMOD and OML (standard version). Dashed curves refer to situation without building Wind

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Cube building The stack is at roof height. We move the stack relative to the building. In the Excel sheet, the building can be moved by simply pressing an arrow key. The subsequent slides mimic the way the Excel sheets work.

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data First, the building is 10 building heights downwind of the stack

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Moving closer: Watch Xs, indicating distance from the building’s upwind face to the stack, counted positive along X axis XSXS

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data XSXS

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Effect of changing stack height We consider a stack located at the center of the roof. The building is a cube

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Stack at roof top (Hs = Hb)

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Elevated stack (Hs = 1.5 Hb)

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Even higher stack: Hs = 2 Hb

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Effect of changing building width – stack height 1.5 Hs

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Cube – measurements only

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Wide building (2 cubes)

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Very wide (4 cubes)

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Cube, including model results

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Wide building (2 cubes)

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Very wide building (4 cubes)

National Environmental Research Institute, University of Aarhus, Denmark Validation using Thompson’s wind tunnel data Continue on your own... Four Excel workbooks are available for download, one for each building. See http://www.dmu.dk/International/Air/Models/B ackground/Thompson_Intro.htm http://www.dmu.dk/International/Air/Models/B ackground/Thompson_Intro.htm

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