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Building Downwash –
Problems, Solutions and
Next Generation
11th Conference on Air Quality Modeling
EPA Research Triangle Park, NC Campus
August 12-13, 2015
Ron Petersen, PhD, CCM, FASHRAE
Cell: 970 690 1344
rpetersen@cppwind.com
CPP, Inc.
2400 Midpoint Drive, Suite 190
Fort Collins, CO 80525
www.cppwind.com @CPPWindExperts
www.cppwind.comwww.cppwind.com
Social
Based on Needs
Environmental
Conservative Model
Economic
Non-Conservative
Model
Why is this Important?
Its About Sustainability
Bearable Equitable
Viable
Sustainability
We need an accurate
dispersion model!
Sustainable
www.cppwind.comwww.cppwind.com
Overview of Problems with Building Downwash
• Downwash theory based on research done before 2000
• Original theory based on a limited number of “solid” building
shapes
• Schulman and Petersen documented problems for long and
wide buildings and tall stacks at 10th modeling conference
• Theory is not suitable for porous, streamlined, wide or
elongated structures
• CPP’s evaluation of theory has identified deficiencies and
inaccuracies
• Recent and past model comparisons with observations
www.cppwind.comwww.cppwind.com
Examples Problems -Overprediction
From 10th Modeling Conference
Schulman, 2012, Wide/Long Building Issue
• Wide Buildings: Concentration
increased by factors of 3 to 14
when Width > 4 x Height
• Long Buildings: Concentration
increased by factors of 4 to 10
when Length > 4 x height for
GEP stack.
• Field Observations at ALCOA TN
wide/long facility: Model
overpredicts by factor of ~10.
Hs/Hb = 2.5
www.cppwind.comwww.cppwind.com
An Assessment of the AERMOD by
IDEM
Keith Baugues, Assistant
Commissioner
AERMOD not working!!!!
• Q:Q: Model Overpredicts by
Factor of 2 or More
• Paired: Very Poor
Agreement
Model (ppm)
Model (ppm)
Observed(ppm)
Observed(ppm)
www.cppwind.comwww.cppwind.com
AECOM Field Study at Mirant Power
Station (Shea et al., 2012)
2Shea, D., O. Kostrova, A. MacNutt, R. Paine, D. Cramer, L. Labrie, “A Model Evaluation Study of AERMOD Using Wind Tunnel
and Ambient Measurements at Elevated Locations,” 100th Annual AWMA Conference, Pittsburgh, PA, June 2007.
• Model overpredicted by factor
of 10 on residential tower
• Better agreement with EBD,
but still overpredicted by factor
of 4
• Best agreement with no
buildings, still overpredicted by
factor of 2.
• In reality, plume is not affected
by building downwash.
www.cppwind.comwww.cppwind.com
What’s Causing These
Problems?
www.cppwind.comwww.cppwind.com
AERMOD Building Wake Problems –
AERMOD Overestimates Downwash
Hb = 20 m
Problem even worse for longer buildings
• Wake height
overestimated: need
higher plumes to
avoid downwash.
• Start of maximum
building downwash
farther downwind than
in reality
www.cppwind.comwww.cppwind.com
Turbulence Calculations in Wake Flawed
- Constant downwash enhancement up to wake height (Fix?)
-Downwash enhancement decrease to ambient flawed (Fix?)
Starting Relation
Wake Velocity Deficit:
ΔUo/Uo = -0.7
Where:
J.C. Weil, A New Dispersion Model for Stack Sources in Building Wakes,
9th Joint Conference on Air Pollution Meteorology with A&WMA, 1996.
Bad assumptions
www.cppwind.comwww.cppwind.com
Height of Building Downwash Overestimated
(High Turbulence Zone >> AERMOD Overestimates)
PRIME
Reality
Taller Stacks Needed to Clear Downwash Zone
www.cppwind.comwww.cppwind.com
More AERMOD Overestimates
Downwash (turbulence) enhanced by factor of ~10
under stable conditions: not documented (Fix?).
AERMOD Turbulence
Enhancement Factor Starting
at Lee Wall of Building
No Evidence Supporting This is Provided!!
ξ = R @ X = 0, the lee wall
Is PRIME really enhancing
turbulence like this?
www.cppwind.comwww.cppwind.com
CPP’s Limited Research
Velocity Mapping for 1:1:2 Building
www.cppwind.comwww.cppwind.com
Findings from CPP’s Limited Research
- Wind tunnel measurements show little enhancement
above building height (Fix?)
Building
Distance Turbulence Increase Factor
ξ/Hb AERMOD Observed
1 5.7 1.0 to 5.7
2 4.4 1.0 to 5.2
3 2.9 1.0 to 2.2
Turbulence Increase Factor
www.cppwind.comwww.cppwind.com
FDS LES Simulation for 1:1:2 Building
Very little downwash enhancement above the building
www.cppwind.comwww.cppwind.com
Other
Problems
www.cppwind.comwww.cppwind.com
Streamline Calculation Comparison
Flawed (Bug?)
Figure 6. Prime predicted and observed streamlines from Schulman1
Given:
• H=W=L=R
PRIME Logic
• If L> 0.9R (= 0.9L)
reattachment occurs, and
Hr = H
For this case,
• L>0.9R = 0.9L, therefore
• Hr = H
That means all streamlines
should be horizontal and they
are not in example.
What is PRIME really doing?
www.cppwind.comwww.cppwind.com
Another Streamline Calculation
Problem (Bug?)
www.cppwind.comwww.cppwind.com
Refinery Structures Upwind
- Horizontal flow
Solid BPIP Structure Upwind
No Structures
Streamlines for Lattice Structures
Should be horizontal (Fix?)
www.cppwind.comwww.cppwind.com
Solutions and Next Generation
(Sustainability)
• Short Term Fix: Use Equivalent Building Dimensions
• EBDs are the dimensions (height, width, length
and location) that are input into AERMOD in place
of BPIP dimensions to more accurately predict
building wake effects
• Not a complete fix because of problems with the
theory
• Determined using wind tunnel modeling
• Next Generation: Improved AERMOD (and
SCICHEM) and BPIP
• Collaboration between EPA and Industry
www.cppwind.comwww.cppwind.com
Short Term:
Advanced AERMOD Modeling to ~Fix
EBD Geometry for
AERMOD
EBD Test Model
BPIP Geometry for
AERMOD
BPIP
Actual Site
BPIP
Diagnostic Shows
Problems
www.cppwind.comwww.cppwind.com
FACTOR of 4 to 8
reduction when EBD used
Short building with a large foot print
FACTOR of 2 to 4
reduction when EBD used
Hyperbolic cooling towers
Typical AERMOD Overprediction Factors When
Using BPIP Inputs and Current Theory
www.cppwind.comwww.cppwind.com
Typical AERMOD Overprediction Factors When
Using BPIP Inputs and Current Theory
FACTOR of 2 to 5
reduction when EBD used
Very Wide/Narrow Buildings
FACTOR of 2 to 3.5
reduction when EBD used
Lattice Structures
www.cppwind.comwww.cppwind.com
Why EBD helps but
doesn’t solve
problem
AERMOD/PPRIME
Overestimates
Downwash
EBD
~ reality
Reality
www.cppwind.comwww.cppwind.com
Long Buildings with Wind
at an Angle
Figure created in BREEZE® Downwash Analyst
BREEZE is a registered trademark of Trinity Consultants, Inc.
www.cppwind.comwww.cppwind.com
Downwash Based on EBD and BPIP
Figures created in BREEZE® Downwash Analyst
BREEZE is a registered trademark of Trinity Consultants, Inc.
www.cppwind.comwww.cppwind.com
Typical AERMOD Underprediction Factors
• Factor of two:
Corner Vortex
Rhinelander Corner Vortex
AERMOD ~ Factor of 2 Low at Monitor
Upwind Terrain Wakes Not
Treated in AERMOD
• Factor of 2-6:
Upwind
Terrain
www.cppwind.comwww.cppwind.com
The Next Generation Downwash Model
Moving Toward Sustainability
• Correct all the bugs
• Fix the known problems in the theory
• Incorporate the current state of science
• Advance the current state of the science
• Expand the types of structures that can be accurately handled
• Well documented and verified model formulation document
and code for PRIME
• Add section to Appendix W that outlines a method to update
model based on current research.
• Collaborate with industry to work toward an improved model
www.cppwind.comwww.cppwind.com
Ron Petersen, PhD, CCM
rpetersen@cppwind.com
Direct: + 970 498 2366
CPP, Inc.
2400 Midpoint Drive, Suite 190
Fort Collins, CO 80525
+ 970 221 3371
www.cppwind.com @CPPWindExperts
Thank You!

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