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ACRP Report 45: Optimizing the Use of Aircraft Deicing and Anti-Icing Fluids (2011)
Airport Cooperative Research Program (ACRP)

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D'Avirro, John, Chaput, Michael, Transportation Research Board. "Examination of Lake-Effect Snowfall on HOT Differences." ACRP Report 45: Optimizing the Use of Aircraft Deicing and Anti-Icing Fluids. Washington, DC: The National Academies Press, 2011.

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Page
49
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Page
49
Front Matter (R1-R11)
Holdover Time Variance Across an Airfield (1-1)
Increased Use of Aircraft De/Anti-Icing Fluid Dilutions (2-2)
Organization (3-3)
Literature Review and Data Examination (4-4)
Survey (5-5)
Preliminary List of De/Anti-Icing Optimization Technologies and Procedures (6-6)
Development of Final List of Technologies and Procedures (7-8)
Focus Group Survey Inputs on Final List of Technologies and Procedures (9-16)
Overall Ranking of Optimization Technologies and Procedures (17-21)
Recommendations for Further Study (22-22)
Recommendations for Phase II (23-23)
Bibliography (24-27)
Additional Testing (Winter 200809) (28-28)
Equipment and Methodology for Precipitation Measurement (29-29)
Sequence of Events (30-31)
Tests Conducted (32-37)
Scatter Diagram of Logged Data (38-40)
Data Analysis (41-43)
Between-Site Differences in HOT (44-46)
Examination of Site Separation Distance (47-48)
Examination of Lake-Effect Snowfall on HOT Differences (49-50)
Comparison of HOTDS Results to Current Operational Practices (51-51)
HOTDS Implementation Strategy and Timeline (52-52)
Conclusions (53-53)
Recommendations (54-54)
References (55-55)
Objective (56-56)
Laboratory Tests (57-60)
Focus Group Survey (61-62)
Step 1: Examination of Potential Cost-Benefit Model Parameters (63-63)
Step 2: Cost-Benefit Model Development and Testing (64-64)
Examination of Current Government and Industry Regulations, Guidance Material, and Standards (65-65)
Laboratory Tests (66-67)
Focus Group Survey (68-68)
Cost-Benefit Model (69-69)
Conclusions (70-71)
Recommendations (72-72)
Suggested Research (73-73)
Objective (74-74)
Focus Group Survey (75-76)
Step 2: Cost-Benefit Model Development and Testing (77-79)
Examination of Current Government and Industry Regulations, Guidance Material, and Standards Related to the Use of Fluid Dilutions (80-80)
Findings of the Focus Group Survey (81-82)
Application of Findings to Current Practice (83-85)
Application of Findings to Create Cost-Benefit Model (86-86)
Conclusions (87-90)
Recommendations (91-91)
Appendixes (92-92)
Abbreviations used without definitions in TRB publications (93-93)

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OCR for page 49
49 · For the Octagon MaxFlo 100/0 base case, the frequency of range distance. The results are given in Table 32. Because the tests generating a percentage difference greater than 20% lake-effect data was collected at an OAT lower than -3°C increased from: (26.6°F), fluid ABC-S at the 50/50 strength is not included in ­ 2% at the shortest distance; to the analysis. ­ 17% at mid-range distance; and The table shows that the frequency of cases where the ­ 26% at the longest distance. between-site difference in HOT is 20% or more of the lower · For the ABC-S 75/25 base case, the frequency of tests gen- site value is substantially greater for the lake-effect data. Much erating a percentage difference greater than 20% increased of the increase shows up in the above 50% difference category. from: ­ 1% at the shortest distance; to Relationship Between Site-Separation-Distance ­ 21% at mid-range distance; and and Between-Site HOT Differences Excluding ­ 28% at the longest distance. Lake-Effect Data · For the ABC-S 50/50 base case, the frequency of tests gen- erating a percentage difference greater than 20% increased Syracuse Hancock International Airport was selected for from: tests as it offered an opportunity to study lake-effect snowfall. ­ 0% at the shortest distance; to Precipitation rates were recorded during one event, on Janu- ­ 38% at mid-range distance; and ary 8, 2009. ­ 42% at the longest distance. The lake-effect snowfall data was included in the previous analysis of between-site HOT differences versus distance sep- The mid-range distance showed a higher frequency of cases aration between sites. Because this data occurred only in the having between-site differences greater than 50%. mid-range distance, it would distort the true relationship of This examination shows that a relationship does exist be- between-site HOT differences versus distance. The base case tween site-separation distance and size of between-site hold- data was re-examined with the lake-effect snowfall data re- over time differences. moved. The results of the analysis with the lake-effect snow- fall data removed are given in Table 33. Examination of Lake-Effect Snowfall Removal of the lake-effect data produces a smoother rela- on HOT Differences tionship of HOT difference to distance, removing the bulge at the mid-range distance seen in the previous analysis (Table 31). The impact of lake-effect snowfall was examined by looking The final results by fluid type are: at the lake-effect snowfall data in isolation and comparing it to other data collected within the same site-separation range. · For the Type I fluid base case, the frequency of tests generat- The lake-effect data was collected at a between-site distance ing a percentage difference greater than 20% increased from: of 8,300 ft, placing it in the mid-range for distance analysis. To ­ 4% at the shortest distance to examine its influence on HOT at the two sites, the lake-effect ­ 12% at mid-range distance and data was compared to the other data collected at the mid- ­ 15% at the longest distance. Table 32. Effect of lake-effect snowfall on between-site HOT differences (2007­2008). Number of Tests where Difference Between Sites is Distance Range # (%) Fluid Type 7017 to 13390 ft 50% Total Type I no lake-effect 44 (88%) 2 (4%) 4 (8%) 0 (0%) 50 (100%) HOTs in Snow lake-effect 18 (56%) 2 (6%) 4 (13%) 8 (25%) 32 (100%) Clariant no lake-effect 45 (90% 3 (6%) 1 (2%) 1 (2%) 50 (100%) 2012 100/0 HOTs in Snow lake-effect 25 (78%) 3 (9%) 0 (0%) 4 (13%) 32 (100%) Octagon no lake-effect 44 (88%) 3 (6%) 2 (4%) 1 (2%) 50 (100%) MaxFlo 100/0 HOTs in Snow lake-effect 24 (75%) 5 (16%) 0 (0%) 3 (9%) 32 (100%) ABC-S 75/25 no lake-effect 43 (86%) 4 (8%) 2 (4%) 1 (2%) 50 (100%) HOTs in Snow lake-effect 22 (69%) 5 (16%) 1 (3%) 4 (13%) 32 (100%)

OCR for page 50
50 Table 33. Relationship of between-site differences and distance (excluding lake-effect data 2007­2009). Type I Holdover Times in Snow - Measured Rates (without lake-effect data) Number of tests where difference between Distance Range sites is (ft) 20% to 30% to 50% Total 29.9% 49.9 % 4167 5052 64 3 67 96% 4% 100% 7017 13390 44 2 4 50 88% 4% 8% 0% 100% 27800 28500 78 6 6 3 93 84% 6% 6% 3% 100% Total tests 186 11 10 3 210 analyzed 89% 5% 5% 1% 100% Clariant 2012 100/0 Holdover Times in Snow - Measured Rates Octagon MaxFlo 100/0 Holdover Times in Snow - Measured Rates (without lake-effect data) (without lake-effect data) Number of tests where difference between Number of tests where difference between Distance Range sites is Distance Range sites is (ft) 20% to 30% to (ft) 20% to 30% to 50% Total 50% Total 4167 5052 66 1 67 4167 5052 65 1 1 67 99% 1% 100% 97% 1% 1% 100% 7017 13390 45 3 1 1 50 7017 13390 44 3 2 1 50 90% 6% 2% 2% 100% 88% 6% 4% 2% 100% 27800 28500 73 14 6 93 27800 28500 68 16 6 3 93 78% 15% 6% 100% 73% 17% 6% 3% 100% Total tests 184 18 7 1 210 Total tests 177 20 9 4 210 analyzed analyzed 88% 9% 3% 0% 100% 84% 10% 4% 2% 100% ABC-S 75/25 Holdover Times in Snow - Measured Rates ABC-S 50/50 Holdover Times in Snow - Measured Rates (without lake-effect data) (no lake-effect data due temp restriction for 50/50) Number of tests where difference between Number of tests where difference between Distance Range sites is Distance Range sites is (ft) 20% to 30% to (ft) 20% to 30% to 50% Total 50% Total 4167 5052 66 1 67 4167 5052 12 12 99% 1% 100% 100% 100% 7017 13390 43 4 2 1 50 7017 13390 8 3 0 2 13 86% 8% 4% 2% 100% 62% 23% 0% 15% 100% 27800 28500 67 17 7 2 93 27800 28500 10 1 2 4 17 72% 18% 8% 2% 100% 59% 6% 12% 24% 100% Total tests 176 22 9 3 210 Total tests 30 4 2 6 42 analyzed analyzed 84% 10% 4% 1% 100% 71% 10% 5% 14% 100% · For the Clariant 2012 100/0 base case, the frequency of tests · For the Octagon MaxFlo 100/0 base case, the frequency of generating a percentage difference greater than 20% in- tests generating a percentage difference greater than 20% creased from: increased from: ­ 1% at the shortest distance to ­ 2% at the shortest distance to ­ 10% at mid-range distance and ­ 12% at mid-range distance and ­ 21% at the longest distance. ­ 26% at the longest distance.