Review and Analysis of Condensation Experiments at UW-Madison
Transcript of Review and Analysis of Condensation Experiments at UW-Madison
University of Wisconsin –Fusion Technology Institute
Review and Analysis of Condensation Experiments at UW-Madison
University of Wisconsin–MadisonDepartment of Engineering Physics
Fusion Technology InstituteM.H. Anderson, J.G. Murphy and M.L. Corradini
Idaho National Engineering and Environmental Laboratory
Fusion Safety ProgramB.J. Merrill
International Energy Agency Task 2 MeetingMarch 22, 2001
University of Wisconsin –Fusion Technology Institute
• Condensation of water vapor on cold/cryogenic surfaces is an important consideration for future fusion magnet designs
• Structural limitations may be an issue because of ice formation on the magnet systems
• An accurate assessment of the quantity of condensate/ice and subsequent loading to the magnet system is essential
• Experiments have been conducted (with analyses) at UW-Madison to determine the atmospheric moisture content effect on condensation rate and subsequent freezing on a stainless steel surface
• Modelling is utilized to determine frost conductance
University of Wisconsin –Fusion Technology Institute
• Simple first principle models have been employed to test against preliminary experiments
• Test and Analysis sequence• Preliminary analyses performed (large ice formation rates seen)
• Experiments Run• Determining ice properties (frost conductance i.e., hfrost)
• MELCOR simulations will be used when ice porosity isdetermined and code updated with ice properties as modelparameters
• This presentation reviews the experiments and analysis performed
University of Wisconsin –Fusion Technology Institute
UW- Madison has been working in Fusion Safety over 20 yrs with our current activities focused on:
• Liquid metal compatibility tests with fusion blanket coolants
• Cryogenic liquid interactions (LHe, LN2) with water and structures
• Experimental analysis and MELCOR model development
University of Wisconsin –Fusion Technology Institute
• Simplified heat transfer model to determine ice production rate
• Heat conducted through stainless steel and frost layer, and thenconvected through the steam/gas mixture
• This heat removal rate drives ice formation
• Thickness of frost is changing with time• This is accounted for in the heat transfer equation• Added resistance via increase in frost layer
• Appropriate frost thicknesses and porosities will be matched to empirically determine a frost formation modeling methodology
• In the later stages, MELCOR will be utilized with its ice formation models to match the test data
University of Wisconsin –Fusion Technology Institute
• Modeled as resistances in series (stainless, ice and steam/gas)
Heat transfer through material:
q=DT/[1/hsteam/gas + 1/hfrost + dss/kss]A
Mass rate of ice produced:
mr=q/[DHvap + DHfus + CpsteamDTsteam + CpwaterDTwater]
Thickness of ice produced:
thickness=[Dtime mr]/[rice A]
Variables:A = surface areaCp = specific heatK = thermal conduc.Dtime = time stepDT = temp gradientH = heat transfer coeffr = densityDH = heat of formationNote: hfrost ~ (1-porosity)2 kice/dice
University of Wisconsin –Fusion Technology Institute
•With a known hconvection we can eventually fit the test data to the model and determine the appropriate kice from the porosity of the ice
• Natural convection HTC (hconvection)
Heat transfer coefficient = k/[L NuL]
NuL=0.54 RaL0.25
RaL=gB[Ts-Tinf]L3/[an]
•Representative value: hconvection ~ 7 - 13 W/m2-K (small)
VariablesNuL = nusselt numberRaL = Rayleigh numberL = length scaleK = thermal conductivityg = gravityB = 1/TfTbulk = bulk tempa = thermal diffusivityn = viscosity
University of Wisconsin –Fusion Technology Institute
•Calculation of “gas” heat transfer coefficient (HTC)
• hsteam/gas (total HTC)= hconv+hcond
• hconv=0.13(kg/L)Gr1/3Pr1/3
• hcond=Sh[(DhfgCMw)/(LRvTiTb)]F
Representative values:
hcond ~ 47.9 W/m2-K ; for Tboiler = 81.5oC, Pv = 0.5, Pair = 0.5
hconv ~ 8.9 W/m2-K ; for Tboiler = 81.5oC, Pv = 0.5, Pair =0.5
Pr = Cpk/mC = P/(RTavg)Sh = 0.13(GrSc)1/3FMw = molecular weight H2OSc = m/rDoRv = 8314/18Gr = grgb(rgi-rgb)L3/m2
L = lengthq = ln(R+1)/R Suction termkg = thermal conduct.R = (Xvi-Xvb)/(1-Xvi)D = diffusion coeff.F = ln[Xnc,b/Xnc,i]/ln[(1-Xnc,b)/(1-Xnc,I)]X = mole fractions
University of Wisconsin –Fusion Technology Institute
• Plot of Ice Formation versus Time (no porosity)
• Ice formation rates are quite high (hcondensation drives ice formation)
ICE Thickness (m) vs. Time (s)
0.000
0.004
0.008
0.012
0.016
0.020
0 2000 4000 6000 8000 10000Time (s)
ICE
Thi
ckn
ess
(m)
University of Wisconsin –Fusion Technology Institute
• Schematic of vacuum vessel and stainless steel pedestal
Flange
Lines Plate
6.040
3.75
1.0750.50
Interface Plate
9.0
18.0
Fla n
ge
Cap
Pla
te
Inte
rfac
e Pl
ate
Win
dow
Fla
nge
0.875
Flange
Top Plate
0.2000.260
0.945 0.040
0.3500.150
Hygrometer &Temperature
Pressure
University of Wisconsin –Fusion Technology Institute
• Vacuum vessel with stainless steel condensation pedestal
University of Wisconsin –Fusion Technology Institute
• 316 SS Cryogenic Condensation structure withinstrumentation (heat flux sensor, thermocouples)
University of Wisconsin –Fusion Technology Institute
• Water vapor/air mixture is heated to desired conditions in the pressure tank (i.e., temperature/partial pressure)
• The vacuum test chamber is pumped down to a low (~ 200 mTorr)pressure
• Liquid nitrogen cools the stainless steel pedestal in the testvolume, cooling the condensing surface to near 77 K
• When the stainless steel pedestal has reached an equilibrium thermal condition the gas is injected into the vacuum vessel
•A valve is opened on the pressure tank and the water vapor/air contents are slowly released into the vacuum test chamber
• The condensation/freezing event is filmed and data (temperatures, pressures and heat flux) are measured
• The system is allowed to reach pressure equilibrium
University of Wisconsin –Fusion Technology Institute
Test 7Boiler at 81.5o CPv = 0.5 barPair = 0.5 barPlate at ~80 K
University of Wisconsin –Fusion Technology Institute
• Pedestal iced up after 81.5 C boiler experiment Pv = 0.5 , Pair = 0.5
0 200 400 600 800 1000 1200 1400-0.0001
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0.0007Test 7: Boiler conditions 81.5oC, P
v = 0.5,P
air =0 .5
Heat Flux
Hea
t Flu
x [W
/cm
2 ]
Time [s]
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Test Section Pressure
University of Wisconsin –Fusion Technology Institute
0 200 400 600 800 1000 1200 140050
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Test 7: Boiler conditions 81.5oC,Pv = 0.5, Pair = 0.5
Center plate temperature Side plate temperature Top right side plate temp Top left side plate temp
Tem
pert
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Time [s]
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v = 0.5, P
air = 0.5
Relative hum
idity [%]
Test section Temperature
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pera
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[o C]
Time [s]
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Relative humidity in test section [%]
0 200 400 600 800 1000 1200 14008081828384858687888990
Temperature of gas in boiler
Boi
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Tem
pera
ture
[o C]
Time [s]
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Test 7: Boiler conditions 81.5oC, Pv = 0.5, P
air = 0.5
Boiler Pressure [psig]
University of Wisconsin –Fusion Technology Institute
• The high heat transfer coefficient results in a sharp increase in plate temperature
• Uneven cooling of pedestal causes frost and clear ice together. The solid iceforms on the portion of the plate that is at a higher temperature.
0 400 800 1200 1600
-0.0015
-0.0010
-0.0005
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0.0005Test 4: Boiler conditions 100oC, Pv = 1.0, Pair = 0.0
Pressure [torr]
Heat Flux
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t Flu
x [W
/cm
2 ]
Time [s]
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Test Section Pressure
University of Wisconsin –Fusion Technology Institute
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Center plate temperature Side plate temperature Top left side plate temp Top right side plate temp
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Relative hum
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Test section TemperatureT
empe
ratu
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]
Time [s]
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Relitive humidity in test section
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Temperature of gas in boilerB
oile
r T
empe
ratu
re [o C
]
Time [s]
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Boiler Pressure [psia]
University of Wisconsin –Fusion Technology Institute
• Heavy ice formation after injection of pure water vapor from the boiler. The injection rate was controlled to main to keep a more uniform plate temperature.
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0.003Test 3: Boiler conditions 100oC, Pv = 1, Pair = 0
Test section Pressure [torr]
Heat Flux
Hea
t Flu
x [W
/cm
2 ]
Time [s]
0
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Test Section Pressure
University of Wisconsin –Fusion Technology Institute
0 500 1000 1500 200050
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Test 3: Boiler conditions 81.5oC, Pv = 1, Pair = 0
Center plate temperature Side plate temperature Top left side temperature Top right side temperature
Tem
pera
ture
[K]
Time [s]
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Relative humidity in test section [%]
Tem
pera
ture
[o C]
Time [s]
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Test 3: Boiler conditions 100 oC, Pv = 1.0, Pair = 0.0
humidity
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Test 3: boiler conditions 100 oC, Pv = 1.0, Pair = 0.0
Temperature of gas in boiler
Boi
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pera
ture
[o C]
Time [s]
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Boiler Pressure [psia]
University of Wisconsin –Fusion Technology Institute
• Control-volume systems code for thermal-hydraulic analysis (SANDIA National Lab)
• Control volumes connected via orificed flow paths
• Experimental condensation/freezing rate can be modeled by MELCOR
• Benchmark the code against selected UW experiments
• Determine MELCOR utility in predicting ice formation on cryogenic structures used in fusion system designs
University of Wisconsin –Fusion Technology Institute
• MELCOR simulations have been run with “hard-wired” constant values for the ice thermal conductivity and porosity
• An updated version is being modified to allow easy input of these parameters
• Parametric analyses will be run with MELCOR utilizing various ice thermal conductivities and porosities
• This updated version of MELCOR will be used to match test results from the UW experiments
• Ice thermal conductivity and porosity will be varied to produce the desired output (i.e., matching the heat flux and temperatures from the experiment). This will be used to get the correct hfrost = kfrost/d.
University of Wisconsin –Fusion Technology Institute
1. Experiments were run to determine frost formation rates and heat fluxes on a cryo-cooled stainless steel pedestal in a vapor/air environment similar to accident conditions
2. First principle models were employed to determine characteristics of the frost formation on the cold structure
3. The model comparison to the test data will provide porosity behavior as a function of pressure and temperature for use in MELCOR for parametric analyses of the system design
4. MELCOR needs to be modified to allow easy input of these parameters to assist in comprehensive parametric analyses