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GEOMATICS SYNTHESIS PROJECTSYMPOSIUM
Thursday 8 November, 2012 Oostserre, BKCity
in association with
OVERVIEW
1. Introduction2. Background3. Site Description4. LASER/F5. Field Campaign6. Simulation Results 7. Computational Fluid Dynamics8. Conclusions and Recommendations
GEOMATICS SYNTHESIS PROJECTSYMPOSIUM
The effect of 3D geometry complexity on simulating radiative, conductive, and convective fluxes in an urban canyon.
URBANHEATINTRODUCTION
1
INTRODUCTION THE GSP TEAM + OBJECTIVES
2
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
INTRODUCTION RESEARCH QUESTION AND HYPOTHESIS
We wondered...What level of effort with 3D modeling is required to accurately simulate heat flux?
4
INTRODUCTION RESEARCH QUESTION AND HYPOTHESIS
Research question:How does 3D geometry complexity affect the accuracy of simulating heat flux in an urban canyon?
We wondered...What level of effort with 3D modeling is required to accurately simulate heat flux?
4
INTRODUCTION RESEARCH QUESTION AND HYPOTHESIS
Research question:How does 3D geometry complexity affect the accuracy of simulating heat flux in an urban canyon?
We wondered...What level of effort with 3D modeling is required to accurately simulate heat flux?
Hypothesis:Increasing the level-of-detail increases accuracy of the simulation.
4
INTRODUCTION RESEARCH APPROACH
Phase I + IIData acquisition, pre-processing, and sensitivity tests.
5
INTRODUCTION RESEARCH APPROACH
Complex 3D geometry
3D geometry scenarios Forcing file
LASER/F
Meteorological data Thermal imagery Phase I + IIData acquisition, pre-processing, and sensitivity tests.
5
INTRODUCTION RESEARCH APPROACH
Complex 3D geometry
3D geometry scenarios Forcing file
LASER/F
Meteorological data Thermal imagery
Output Project output onto image
Phase I + IIData acquisition, pre-processing, and sensitivity tests.
Phase IIIComparison of the results
Compare results
5
INTRODUCTION RESEARCH APPROACH
Complex 3D geometry
3D geometry scenarios Forcing file
LASER/F
Meteorological data Thermal imagery
Output Project output onto image
Compare results
Wind profileConclusions and
recommendationsCFD MODEL
Phase I + IIData acquisition, pre-processing, and sensitivity tests.
Phase IIIComparison of the results
Phase IVAnalysis and conclusions
5
BACKGROUND URBAN CANYON SCALE STUDIES
6
Geometry of an urban canyoni. orientationii. aspect ratio (H/W)iii. sky view factori ii iii
BACKGROUND URBAN CANYON SCALE STUDIES
7
Character of an urban canyoni. geometry solar illuminationii. surface thermal properties fluxiii. streetscape elements mech. turbulence
Geometry of an urban canyoni. orientationii. aspect ratio (H/W)iii. sky view factor
aspect ratio and wind flow
BACKGROUND URBAN CANYON SCALE STUDIES
i ii iii
Character of an urban canyoni. geometry solar illuminationii. surface thermal properties fluxiii. streetscape elements mech. turbulence
7
SITE DESCRIPTION RUE DE L’ARGONNE
8
170m 20m wide 15-20m tall AR = 0.75 - 1
SITE DESCRIPTION BUILDINGS OF INTEREST
1 Rue de l’Argonne 4 Rue de l’Argonne
9
LASER/F MODEL
triangulated mesh
heat flux calculated for each triangle mesh
surface temperaturederived from energy balance equation
10
LASER/F 3D GEOMETRY
Inhomogeneous complexity in the model
Incomplete building envelopes
How should it be simplified?
11
LASER/F BASELINE DETERMINATION
12
1
LASER/F SEVEN SIMULATION SCENARIOS
12
LASER/F SEVEN SIMULATION SCENARIOS
1
2
33
12
LASER/F SEVEN SIMULATION SCENARIOS
1
2
333 44
12
LASER/F SEVEN SIMULATION SCENARIOS
1
2
333 44
55
12
LASER/F SEVEN SIMULATION SCENARIOS
1
2
333 44
55
6612
LASER/F SEVEN SIMULATION SCENARIOS
77
1
2
333 44
55
6612
FIELD CAMPAIGN STANDARD METEOROLOGIC STATION
Measurements for the forcing file:1. air temperature2. air pressure3. relative humidity4. wind speed5. wind direction6. incoming direct solar radiation7. incoming diffuse solar radiation8. outgoing longwave radiation
13
FIELD CAMPAIGN THERMAL IMAGING
24hr measurements1 Rue de l’Argonne9 images x 20 epochs
radiant exitance (reflected and emitted energy)
1
2
3
MP5 MP6 MP7
14
1
2
3
4
MP1 MP2 MP3 MP4
FIELD CAMPAIGN THERMAL IMAGING
24hr measurements4 Rue de l’Argonne16 images x 20 epochs
15
SIMULATION RESULTS COMPARISON METHOD
16
SIMULATION RESULTS COMPARISON METHOD
Measured (FLIR camera)Simulated (LASER/F)
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SIMULATION RESULTS COMPARISON METHOD
Measured (FLIR camera)1. Filter out sky and windows
Simulated (LASER/F)1. Filter out sky and windows
17
SIMULATION RESULTS COMPARISON METHOD
Measured (FLIR camera)1. Filter out sky and windows2. Generalize measurements
Simulated (LASER/F)1. Filter out sky and windows
17
SIMULATION RESULTS COMPARISON METHOD
Simulated (LASER/F)1. Filter out sky and windows
Measured (FLIR camera)1. Filter out sky and windows2. Generalize measurements
17
SIMULATION RESULTS COMPARISON METHOD
Simulated (LASER/F)1. Filter out sky and windows
Measured (FLIR camera)1. Filter out sky and windows2. Generalize measurements3. Compare results
17
RESULTS COOLER SIMULATED VALUES
1 Rue de l’Argonne
mean exitance
18
RESULTS COOLER SIMULATED VALUES
4 Rue de l’Argonne
mean exitancemean exitancemean exitance
19
RESULTS RADIANT EXITANCE BEHAVIOUR
RMSE
20
behaviour/shape warming period effect of balconies
1 Rue de l’Argonne
RESULTS RADIANT EXITANCE BEHAVIOUR
4 Rue de l’Argonne
RMSERMSERMSE
21
behaviour/shape warming period
COMPUTATION FLUID DYNAMICS WIND PROFILE
static simulation results22
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.
COMPUTATION FLUID DYNAMICS WIND PROFILE
LASER/F
CFD
0 0.5- 0.5 1.0 1.5 2.0 2.5
wind speed (ms-1)
heig
ht (m
)
510
1520
25 rooftop
1st Floor
23
Increased 3D Complexity: Does increase simulation time.
CONCLUSIONS AND RECOMMENDATIONS
24
Increased 3D Complexity: Does increase simulation time.
CONCLUSIONS AND RECOMMENDATIONS
24
Increased 3D Complexity: Does increase simulation time.
CONCLUSIONS AND RECOMMENDATIONS
24
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.
CONCLUSIONS AND RECOMMENDATIONS
25
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.
CONCLUSIONS AND RECOMMENDATIONS
LASER/F
CFD
0 0.5- 0.5 1.0 1.5 2.0 2.5
wind speed (ms-1)
heig
ht (m
)
510
1520
25
26
RESEARCH CONTRIBUTION
Gives an order of magnitude on the effort needed to model urban heat at the canyon scale.
CONCLUSIONS AND RECOMMENDATIONS
27
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
CONCLUSIONS AND RECOMMENDATIONS
27
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
CONCLUSIONS AND RECOMMENDATIONS
27
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
CONCLUSIONS AND RECOMMENDATIONS
27
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 be-tween images)
CONCLUSIONS AND RECOMMENDATIONS
27
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
GEOMATICS SYNTHESIS PROJECTSYMPOSIUM
Thursday 8 November, 2012 Oostserre, BKCity
in association with