PREDICTION OF POLYMER TUBE LIFETIME IN POTABLE · PDF filePREDICTION OF POLYMER TUBE LIFETIME...
Transcript of PREDICTION OF POLYMER TUBE LIFETIME IN POTABLE · PDF filePREDICTION OF POLYMER TUBE LIFETIME...
PREDICTION OF POLYMER TUBE LIFETIME IN POTABLE WATER
William Camisa, Susan Mantell, Jane Davidson, Gyanender Singh
Mechanical Engineering University of Minnesota
H2O
Cool
Heat
Water and space heating represent 10% of total U.S. energy consumption.
Cost is perceived to be a major barrier to greater implementation
Space Htg Space Clg Water Htg Lighting Refrigeration Electronics Other
The Big 3-Thermal loads: 55% of total, 2.34 TWh
Q tot,avg ~ 200 GJ primary
Reduce weight shipping, handling and installation costs
Integrated manufacturing Greater design flexibility
Polypropylene absorber, marketed through Home Depot
Why Polymeric Collectors?
Polymer Materials: Cost vs. Performance
Low cost polymers have low service temperature High performance polymers: higher operating temps, highest cost
Thin-walled polymer vessel/absorber
Cold Water Hot Water
Polymer Heat Exchanger
Glazed All Polymeric Collector
Low Cost Polymeric Collectors: Challenges and Solutions
Challenges
Polymer materials are poor conductors
Heat exchanger/absorber design guidelines
Long term performance f(T, p, env)
Characterize lifetime for low cost polymers
Suitable for all climates Glazed collectors with “smart” thermotropic coating
Solutions
Study of Polymer Degradation in Potable Water
Demonstrate a correlation between antioxidant (AO) level with mechanical performance
Predict level of antioxidant (AO) in PE samples: including relationship of Cl environment, flow conditions
Polymer tube Potable water (Chlorine)
Develop model for AO diffusion and Cl migration
Evaluate properties (strain at failure, molecular weight) of exposed samples
Establish relationship between AO and Cl content and property degradation
Expose samples in (1) reverse osmosis water (RO) bath and (2) Cl (5ppm) water bath
Approach includes both Theory and Experiments
Predict lifetime under typical SDHW conditions
Water Bath for Exposing Samples to Potable Water Conditions
Nominal Test Conditions Temperature
(°C) ORP (mV)
60 550
60 825
80 550
80 825
Test Duration Up to 1,100-1500 hours at 825 mV and 80°C (5 ppm Cl, 7 pH)
Materials PB, PSU, PA6,6, PP-r, PE
PE samples 0.3 or 2 mm thick with phenolic AO
AO Loss vs. Mechanical Properties
Loss of mechanical properties begins after antioxidant is depleted
l = 7.6 cm (3 in.)
h = 0.2 cm (0.08 in.)
w = 0.64 cm (0.25 in.)
w = 1.3 cm (0.5 in.)
0.3 mm thick PE with phenolic AO 2-3 days
Antioxidant Depletion will Vary through the Thickness
Con
cent
ratio
n, C
A
thickness
-H/2 +H/2
t=0
Increasing time
AO Loss in a “plate” sample exposed to potable water H
AO Depletion and Cl Migration Models
Initial condition: CA=CA0 at t=0
Boundary conditions at the surface:
Flux at boundary
Mass transfer at surface of plate to surrounding fluid
storage diffusion through thickness reaction
Model: Diffusion and chemical consumption
AO depletion
Cl migration
Unknown parameters: DA, DCl, K, kA,cl
small Equation will change to polar coordinates when considering a tube, BC’s modified as well
2mm thick dogbones
Sliced (after exposure) to generate AO concentration profiles
Evaluation of Diffusion and Reaction Constants
l = 7.6 cm (3 in.)
h = 0.2 cm (0.08 in.)
w = 0.64 cm (0.25 in.)
w = 1.3 cm (0.5 in.)
1.5 cm
0.51 cm 3.81 cm
300 µm thick Plaques
Curve fit to find DA, DCl, K, kA,cl
Validation
Data in RO and Chlorinated Water (thick samples)
RO water
Cl water
Fit to find parameters: DA, DCl, K, kA,cl
Model Validation (thin samples)
Model prediction using constants obtained from curve fit to dogbone data (previous slide)
0% 20% 40% 60% 80%
100%
0 200 400 600 800 Time (hours)
OIT
(%)
500 ppm Cl Cl model 500 ppm RO RO model
0% 20% 40% 60% 80%
100%
0 200 400 600 800 Time (hours)
OIT
(%)
1000 ppm Cl Cl model 1000 ppm RO RO model
Includes AO depletion, Cl migration and Cl reaction
Excellent agreement between model prediction and Cl data
Depletion in RO f(AOi)
Relative Importance of Loss Mechanisms are Determined from Characteristic Time Scales
DATA obtained at 80°C
Diffusion of Cl “in” is approximately 4 times faster than Diffusion of AO “out”
Use Model to Predict AO Loss in Tubes
AO
Con
cent
ratio
n, c
_a
radius
ri ro
Increasing time
t=0
Low concentration Cl or Air
ri
ro
2-3 ppm Cl
Tube Lifetime for typical Solar Applications
Reaction and Diffusion rates will be temperature dependent 50-60°C
Typical tube thickness 0.5-1 mm
“Lifetime” at 10 ppm AO remaining
Conclusions and Future Work
• Model of Antioxidant depletion is a reasonable approach to estimating polyolefin lifetime
• Reaction with chlorine is the dominant loss mechanism
• Consider alternate failure criteria that combines AO loss and crack propagation
AO depletion
Pressure
Current Work
Polymer Collectors of the Future Low cost polymers Light weight collectors with snap together fittings Easily replaceable, roll up glazing Materials innovations: Smart Polymer Coatings Available to the Do-it-yourself Market