analysis of buoyancy-driven ventilation of hydrogen from … · 2013. 9. 26. · thermal case...
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Analysis of Buoyancy-Driven Ventilation of Hydrogen from Buildings
C. Dennis Barley, Keith Gawlik, Jim Ohi, Russell Hewett
National Renewable LaboratoryU.S. DOE Hydrogen Safety, Codes & Standards Program
Presented at 2nd ICHS, San Sebastián, SpainSeptember 11, 2007
NREL/PR-550-42289
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Scope of Work
• Safe building design
• Vehicle leak in residential garage
• Continual slow leak
• Passive, buoyancy-driven ventilation (vs. mechanical)
• Steady-state concentration of H2 vs. vent size
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Prior Work
• Modeling and testing with H2 and He• Transient H2 cloud formation__________
Swain et al. (1996, 2001, 2003, 2005, 2007)
Breitung et al. (2001)
Papanikolaou and Venetsanos (2005)
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Our Focus / New Findings
• Slow continual leaks• Steady-state concentration of H2
• Algebraic equation for vent sizing• Significant thermal effect (high outdoor temp)
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Range of “Slow” Leakage Rates
• Low end: 1.4 L/min per SAE J2578 (vehicle manufacture quality control)
• High end: 566 L/min automatic shutdown (per Parsons Brinkerhoff for CaFCP)
• Consider: Collision damage or faulty maintenance
• Parametric CFD modeling: 5.9 to 82 L/min (12 hr to 7 days/5 kg)
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Methods of Analysis
• CFD modeling (FLUENT)
• Simplified, 1-D, steady-state, algebraic analysis
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U.S. Depar tment of Energy
Pulte Homes, Las Vegas, NV
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Volume of garage is 146 m3
Volume of 5 kg of H2 is 60 m3
41% mixture is possibleWell within flammable range
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Sample CFD Model Result
CFD modeling used to study H2 cloud. Half of garage is shown. Leak rate is 5 kg/24 hours (41.5 L/min). Vent sizes 790
cm2. Elapsed time = 83 min. Full scale is 4% H2 by volume.
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H2 concentration at top vent increases monotonically and reaches a steady value in about 90 minutes. A flammable
mixture does not occur in this case.
Sample CFD Model Result
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Simulation Setup
• FLUENT version 6.3• Poly mesh for computational economy• Grid density study showed solution invariant at
approx. 40,000 cells (Avg. ~1.8 L/cell)• High mesh density near inlet, outlet, gas leak• Laminar flow model used (more conservative
than turbulent models)• No diffusion across vents at model boundary
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Simulation Setup
• Hydrogen concentration at outlet monitored to determine steady state
• 5 kg discharge times from 12 hours to 1 week
• Low speed leak from 8-cm-diameter sphere
• Leak ~1 m above floor, one model near ceiling
• Vent sizes and height varied
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Concept of 1-D Model
Typical H2 stratification determined by CFD model(steady-state condition)
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1-D Parametric Analysis
Pressure Loop / Buoyancy
ΔP1-2 + ΔP2-3 + ΔP3-4 + ΔP4-1 = 0
ΔP1-2 + ΔP3-4 = g h ρair cavg (1-δ)
P = Total pressureh = Height between ventsc = Concentration of H2, by volumeρ = Densityg = Acceleration of gravityδ = Density of H2 / density of air
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ρ142 −Δ
=PADQ
Q = Volumetric flow rateA = Vent areaD = Discharge coefficient
(Similar at bottom vent)
Vent Flow vs. Pressure
1-D Parametric Analysis
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Steady-State Mass Balances
QT cT = S
Q = Volumetric flow ratecT = H2 concentration at top vent,
by volumeS = Volumetric H2 source rate
1-D Parametric Analysis
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where:
F = Vent sizing factor, dimensionlessA = Vent area (top = bottom), m2
CT = H2 concentration at top vent, by volume (0-1)D = Vent discharge coefficient (0-1)S = Source rate of H2 (leak rate), m3/sg = Acceleration of gravity = 9.81 m/s2
h = Height between vents, mδ = Ratio of densities of H2/Air = 0.0717φ = Stratification factor = CT/Cavg (Cavg = average over height)
( ) ( )( )
21
3
221
11112
⎥⎥⎦
⎤
⎢⎢⎣
⎡
−−+−−
=≡T
TT
CCCgh
SADF
δδ
φ
Isothermal Vent-Sizing Equation:
1-D Parametric Analysis
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Curves illustrate isothermal vent-sizing equation. Points 1-7 are CFD results.
0
1000
2000
3000
4000
5000
6000
7000
0.25 0.50 0.75 1.00 1.25 1.50 1.75 2.00 2.25 2.50 2.75 3.00
cT = H2 Concentration by Volume, %
F =
Vent
Siz
ing
Fact
or
1
2
4 5 6 7
3
φ = 1.0, 1.5, 2.0, 3.0 left to right
Comparison of Models
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1 2 3 4 5 6 7Leak-Down Time, hr/5 kg 168 72 48 24 24 24 12
Vent Size, cm2 788 788 788 788 788 788 1576Vent Offset, cm 0.0 0.0 0.0 0.0 15.2 30.5 0.0Vent Height, m 3.650 3.650 3.650 3.650 3.345 3.040 3.599H2 Conc. at top vent, % Vol. 0.47 0.79 1.04 1.55 1.63 1.69 1.75
Straification Factor (φ ) 1.65 1.67 1.67 1.52 1.58 1.59 1.88Discharge Coeff. (D*) 0.952 0.952 0.952 0.965 0.948 0.944 0.903
CFD CaseSpecifications, Results
Series of CFD Cases
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Ranges of Parameters
• Stratification factor (φ): 1.52 to 1.88
• Apparent discharge coefficient (D*): 0.903 to 0.965
D* higher than typical D (0.60 to 0.70)
D* includes momentum effects
Further study needed (experimental)
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Reverse Thermocirculation
When outdoor temperature is higher than indoor (garage) temperature, thermal circulation opposes H2-buoyancy-driven circulation.
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Thermal Case Study
Leak rate = 5 kg/12 hours. Vent size = 1,580 cm2.Tamb-Tcond = 20°C. Elapsed time = 3.3 min.
Full scale = 4% H2 by volume.
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Leak rate = 5 kg/12 hours. Vent size = 1,580 cm2.Tamb-Tcond = 20°C. Elapsed time = 11.7 min.
Full scale = 4% H2 by volume.
Thermal Case Study
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Leak rate = 5 kg/12 hours. Vent size = 1,580 cm2.Tamb-Tcond = 20°C. Elapsed time = 15 min.
Full scale = 4% H2 by volume.
Thermal Case Study
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Leak rate = 5 kg/12 hours. Vent size = 1,580 cm2.Tamb-Tcond = 20°C. Elapsed time = 33 min.
Full scale = 4% H2 by volume.
Thermal Case Study
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Leak rate = 5 kg/12 hours. Vent size = 1,580 cm2.Tamb-Tcond = 20°C. Elapsed time = 2.8 hr (steady state).
Full scale = 4% H2 by volume.
Thermal Case Study
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Leak rate = 5 kg/12 hours. Vent size = 1,580 cm2.Tamb-Tcond = 20°C.
Thermal Case Study
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A Perfect StormExtreme thermal scenario
Garage strongly coupled to house & groundGarage weakly coupled to ambientHot day, cool ground, low A/C setpointSmall vents—sized for 2% H2 max with 1-D model
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A Perfect Storm
U.S. Depar tment of Energy
Heartland Homes, Pittsburgh, PA
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A Perfect StormAmbient conditions modeled
• Ambient temp. = 40.6°C (Approx. max. in Denver)• Ground temp = 10°C (Denver, mid-April)• A/C setpoint = 21.1°C (Rather low)
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Reverse Flow ScenarioH2 exiting through bottom vent
Case 9. Leak rate = 5 kg/7 days. Vent size = 494 cm2.Elapsed time = 31 hr (steady state).
Full scale = 1.5% H2 by volume.
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A Perfect StormResults
• Case 8 (1-day leak): Vents from top, 2.3% max
• Case 9 (7-day leak): Vents from bottom, 1.0% max
• Case 10 (3-day leak): Vents from top, 4.8% max
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0
1
2
3
4
5
0 5 10 15 20 25
Time (hr)
H2
Con
cent
ratio
n, %
by
volu
me
No Thermal Effects
With Thermal Effects
A Perfect StormWorst thermal case we modeled
Case 10. Leak rate = 5 kg/3 days. Vent size = 405 cm2.
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Conclusions
1. The leakage rates that will occur and their frequencies are unknown. Further study of leakage rates is needed to put parametric results into perspective.
2. Our CFD model has not yet been validated against experimental data. • Uncertainty in results• Future work
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3. The 1-D model ignores thermal effects, but otherwise provides a safe-side estimate of H2 concentration by ignoring momentum effects (pending model validation).
4. Indicated vent sizes would cause very low garage temperatures in cold climates, for leak rates of roughly 6 L/min and higher (leak-down in 1 week or less).
Conclusions
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5. Reverse thermocirculation:• Can occur in nearly any climate • The worst case we modeled increased the
expected H2 concentration from 2% to 5%. This is a significant risk factor,
• Likelihood of occurrence may be low, judging by the lengths we went to in order to identify a significant example.
Conclusions
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6. Mechanical ventilation is alternative approach to safety.
• H2-sensing fan controller is recommended. • Research is needed to develop a control
system that is sufficiently reliable and economical for residential use.
Conclusions