GEOMATICS SYNTHESIS PROJECT SYMPOSIUM

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1 GEOMATICS SYNTHESIS PROJECT SYMPOSIUM Thursday 8 November, 2012 Oostserre, BKCity in association with

2 GEOMATICS SYNTHESIS PROJECT SYMPOSIUM OVERVIEW 1. Introduction 2. Background 3. Site Description 4. LASER/F 5. Field Campaign 6. Simulation Results 7. Computational Fluid Dynamics 8. Conclusions and Recommendations

3 INTRODUCTION URBANHEAT The effect of 3D geometry complexity on simulating radiative, conductive, and convective fluxes in an urban canyon. 1

4 INTRODUCTION THE GSP TEAM + OBJECTIVES 2

5 INTRODUCTION PARTNERS Teledetection, Radiometrie et Imagerie Optique (TRIO) (Laboratoire des Sciences de l Image, de l Informatique et de la Télédétection (LSIIT), University of Strasbourg) + Transport Phenomena Group (Chemical Engineering, TU Delft) 3

6 INTRODUCTION RESEARCH QUESTION AND HYPOTHESIS We wondered... What level of effort with 3D modeling is required to accurately simulate heat flux? 4

7 INTRODUCTION RESEARCH QUESTION AND HYPOTHESIS We wondered... What level of effort with 3D modeling is required to accurately simulate heat flux? Research question: How does 3D geometry complexity affect the accuracy of simulating heat flux in an urban canyon? 4

8 INTRODUCTION RESEARCH QUESTION AND HYPOTHESIS We wondered... What level of effort with 3D modeling is required to accurately simulate heat flux? Research question: How does 3D geometry complexity affect the accuracy of simulating heat flux in an urban canyon? Hypothesis: Increasing the level-of-detail increases accuracy of the simulation. 4

9 INTRODUCTION RESEARCH APPROACH Phase I + II Data acquisition, pre-processing, and sensitivity tests. 5

10 INTRODUCTION RESEARCH APPROACH Complex 3D geometry 3D geometry scenarios Meteorological data Thermal imagery Phase I + II Data acquisition, pre-processing, and sensitivity tests. Forcing file LASER/F 5

11 INTRODUCTION RESEARCH APPROACH Complex 3D geometry 3D geometry scenarios Meteorological data Forcing file Thermal imagery Phase I + II Data acquisition, pre-processing, and sensitivity tests. LASER/F Output Project output onto image Phase III Comparison of the results Compare results 5

12 INTRODUCTION RESEARCH APPROACH Complex 3D geometry 3D geometry scenarios Meteorological data Forcing file Thermal imagery Phase I + II Data acquisition, pre-processing, and sensitivity tests. LASER/F Output Project output onto image Phase III Comparison of the results Compare results CFD MODEL Wind profile Conclusions and recommendations Phase IV Analysis and conclusions 5

13 BACKGROUND URBAN CANYON SCALE STUDIES 6

14 BACKGROUND URBAN CANYON SCALE STUDIES Character of an urban canyon i. geometry solar illumination ii. surface thermal properties flux iii. streetscape elements mech. turbulence i ii iii Geometry of an urban canyon i. orientation ii. aspect ratio (H/W) iii. sky view factor 7

15 BACKGROUND URBAN CANYON SCALE STUDIES Character of an urban canyon i. geometry solar illumination ii. surface thermal properties flux iii. streetscape elements mech. turbulence i ii iii Geometry of an urban canyon i. orientation ii. aspect ratio (H/W) iii. sky view factor aspect ratio and wind flow 7

16 SITE DESCRIPTION RUE DE L ARGONNE 170m 20m wide 15-20m tall AR =

17 SITE DESCRIPTION BUILDINGS OF INTEREST 1 Rue de l Argonne 4 Rue de l Argonne 9

18 LASER/F MODEL triangulated mesh heat flux calculated for each triangle mesh surface temperature derived from energy balance equation 10

19 LASER/F 3D GEOMETRY Inhomogeneous complexity in the model Incomplete building envelopes How should it be simplified? 11

20 LASER/F BASELINE DETERMINATION 12

21 LASER/F SEVEN SIMULATION SCENARIOS 1 12

22 LASER/F SEVEN SIMULATION SCENARIOS

23 LASER/F SEVEN SIMULATION SCENARIOS

24 LASER/F SEVEN SIMULATION SCENARIOS

25 LASER/F SEVEN SIMULATION SCENARIOS

26 LASER/F SEVEN SIMULATION SCENARIOS

27 FIELD CAMPAIGN STANDARD METEOROLOGIC STATION Measurements for the forcing file: 1. air temperature 2. air pressure 3. relative humidity 4. wind speed 5. wind direction 6. incoming direct solar radiation 7. incoming diffuse solar radiation 8. outgoing longwave radiation 13

28 FIELD CAMPAIGN THERMAL IMAGING 24hr measurements 1 Rue de l Argonne 9 images x 20 epochs radiant exitance (reflected and emitted energy) 14

29 FIELD CAMPAIGN THERMAL IMAGING 24hr measurements 4 Rue de l Argonne 16 images x 20 epochs 15

30 SIMULATION RESULTS COMPARISON METHOD 16

31 SIMULATION RESULTS COMPARISON METHOD Simulated (LASER/F) Measured (FLIR camera) 17

32 SIMULATION RESULTS COMPARISON METHOD Simulated (LASER/F) 1. Filter out sky and windows Measured (FLIR camera) 1. Filter out sky and windows 17

33 SIMULATION RESULTS COMPARISON METHOD Simulated (LASER/F) 1. Filter out sky and windows Measured (FLIR camera) 1. Filter out sky and windows 2. Generalize measurements 17

34 SIMULATION RESULTS COMPARISON METHOD Simulated (LASER/F) 1. Filter out sky and windows Measured (FLIR camera) 1. Filter out sky and windows 2. Generalize measurements 17

35 SIMULATION RESULTS COMPARISON METHOD Simulated (LASER/F) 1. Filter out sky and windows Measured (FLIR camera) 1. Filter out sky and windows 2. Generalize measurements 3. Compare results 17

36 RESULTS COOLER SIMULATED VALUES 1 Rue de l Argonne mean exitance 18

37 RESULTS COOLER SIMULATED VALUES 4 Rue de l Argonne mean exitance 19

38 RESULTS RADIANT EXITANCE BEHAVIOUR 1 Rue de l Argonne behaviour/shape warming period effect of balconies RMSE 20

39 RESULTS RADIANT EXITANCE BEHAVIOUR 4 Rue de l Argonne RMSE behaviour/shape warming period 21

40 COMPUTATION FLUID DYNAMICS WIND PROFILE static simulation results 22

41 COMPUTATION FLUID DYNAMICS WIND PROFILE height (m) CFD LASER/F rooftop 1st Floor Recall A systematic tendency of simulating cooler temperatures. Why? More convective cooling above podium Generally 0.5 ms -1 higher wind speeds in LASER/F compared to the CFD model results wind speed (ms -1 ) 23

42 CONCLUSIONS AND RECOMMENDATIONS Increased 3D Complexity: Does increase simulation time. 24

43 CONCLUSIONS AND RECOMMENDATIONS Increased 3D Complexity: Does increase simulation time. 24

44 CONCLUSIONS AND RECOMMENDATIONS Increased 3D Complexity: Does increase simulation time. 24

45 CONCLUSIONS AND RECOMMENDATIONS Increased 3D Complexity: Does increase simulation time. Does not necessarily increase simulation accuracy. Study shows: Different radiant exitance behaviour over time between the two facades - accuracy is affected by daily solar illumination pattern. 25

46 CONCLUSIONS AND RECOMMENDATIONS Increased 3D Complexity: Does increase simulation time. Does not necessarily increase simulation accuracy. Study shows: Different radiant exitance behaviour over time between the two facades - accuracy is affected by daily solar illumination pattern. Systematically lower temperatures in LASER/F could be explained by over-simplified wind profile. height (m) CFD LASER/F wind speed (ms -1 ) 26

47 CONCLUSIONS AND RECOMMENDATIONS RESEARCH CONTRIBUTION Gives an order of magnitude on the effort needed to model urban heat at the canyon scale. 27

48 CONCLUSIONS AND RECOMMENDATIONS RESEARCH CONTRIBUTION Gives an order of magnitude on the effort needed to model urban heat at the canyon scale. RECOMMENDATIONS Improve vertical wind profile in LASER/F 27

49 CONCLUSIONS AND RECOMMENDATIONS RESEARCH CONTRIBUTION Gives an order of magnitude on the effort needed to model urban heat at the canyon scale. RECOMMENDATIONS Improve vertical wind profile in LASER/F Better modeling of building volumes and materials 27

50 CONCLUSIONS AND RECOMMENDATIONS RESEARCH CONTRIBUTION Gives an order of magnitude on the effort needed to model urban heat at the canyon scale. RECOMMENDATIONS Improve vertical wind profile in LASER/F Better modeling of building volumes and materials Use a model with consistent complexity 27

51 CONCLUSIONS AND RECOMMENDATIONS RESEARCH CONTRIBUTION Gives an order of magnitude on the effort needed to model urban heat at the canyon scale. RECOMMENDATIONS Improve vertical wind profile in LASER/F Better modeling of building volumes and materials Use a model with consistent complexity Thermal image measurements (define ground control points and more overlap between images) 27

52 CONCLUSIONS AND RECOMMENDATIONS RESEARCH CONTRIBUTION Gives an order of magnitude on the effort needed to model urban heat at the canyon scale. FUTURE WORK? Compare two similar facades Compare two or more different canyons Run simulation of urban neighbourhood or district 28

53 GEOMATICS SYNTHESIS PROJECT SYMPOSIUM Thursday 8 November, 2012 Oostserre, BKCity in association with

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