Methyl Bromide and Sulfuryl Fluoride Gas Leakage Rates from - - PowerPoint PPT Presentation

methyl bromide and sulfuryl fluoride gas leakage rates
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Methyl Bromide and Sulfuryl Fluoride Gas Leakage Rates from - - PowerPoint PPT Presentation

Methyl Bromide and Sulfuryl Fluoride Gas Leakage Rates from Structures Dr. Watcharapol Chayaprasert 1,2 Dr. Bhadriraju Subramanyam 1 Dr. Dirk E Maier 1 1 Grain Science and Industry Department, Kansas State University, Manhattan, KS, USA 2 National


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SLIDE 1

Methyl Bromide and Sulfuryl Fluoride Gas Leakage Rates from Structures

  • Dr. Watcharapol Chayaprasert1,2
  • Dr. Bhadriraju Subramanyam1
  • Dr. Dirk E Maier1

1Grain Science and Industry Department, Kansas State University,

Manhattan, KS, USA

2National Agricultural Machinery Center, Kasetsart University -

Kamphaengsaen, Nakhonpathom, Thailand A Hands-on Workshop on Methyl Bromide Alternatives, May 11-13, 2010

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SLIDE 2

Introduction

  • During typical structural fumigations, do MB and SF

show different gas dynamics (for example leakage rates and gas distribution)?

  • Problem – when the two gases are compared,

environmental conditions generally are not analyzed in details and sealing quality is assumed the same

20 40 60 80 4 8 12 16 20 24 Concentration (oz/ 1000 ft3) Time (hour)

Comparable leakage rate?

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SLIDE 3

Introduction

  • Research at Purdue University and

Kansas State University

– Fumigation experiments and simulations for the past six years and continuing – A number of fumigation experiments in flour mills – Computer models of the fumigation process

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SLIDE 4

Fumigation Simulations

  • Chayaprasert, W., D.E. Maier, K.E. Ileleji and J.Y.

Murthy (2008). Development and validation of Computational Fluid Dynamics models for precision structural fumigation. Journal of Stored Products Research. 44: 11-20

  • Chayaprasert, W., D.E. Maier, K.E. Ileleji and J.Y.

Murthy (2009). Effects of weather conditions on sulfuryl fluoride and methyl bromide leakage during structural fumigation in a flour mill. Journal

  • f Stored Products Research. 45: 1-9
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SLIDE 5

Model

  • Based on a commercial reference flour mill
  • Takes into account leakages created by wind and

buoyancy forces

– Input: weather conditions, type of fumigant, amount released, etc. – Output: gas concentration readings

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SLIDE 6

Simulations

  • MB and SF fumigation simulations performed with

hourly average weather data around the Independence Day and Labor Day of 1996 – 2006

– 11 MB fumigations on each of Independence and Labor Days – 11 SF fumigations on each of Independence and Labor Days

  • Fumigation practices were the same

– Gas introduction and monitoring locations – Sealing quality – Exposure time

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SLIDE 7

10 20 30 96 97 98 99 00 01 02 03 04 05 06 HLT (hr) Year

SF MB

10 20 30 96 97 98 99 00 01 02 03 04 05 06 HLT (hr) Year

SF MB

Half-Loss Time

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SLIDE 8

Findings

  • Leakage rates (i.e., half-loss time) largely

depends on weather conditions during fumigation

  • Under the same weather and sealing

conditions, leakage rates of MB and SF are similar  These findings were based on computer simulations  Would we obtain similar findings in actual fumigations?

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SLIDE 9

Experiments at Hal Ross Flour Mill

  • As many controlled parameters as possible
  • Two MB and two SF fumigations in one single building
  • Almost identical sealing quality verified by building

pressurization tests

  • Continuous weather condition and gas concentration

monitoring

Fumigation # MB1 SF2 MB3 SF4 Starting time 6:40 PM May 6th 6:00 PM May 27th 2:50 PM Aug 11th 2:45 PM Aug 19th Exposure (hr) 24 24 24 24

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SLIDE 10

Experimental Setup

  • Weather station (temperature, RH, wind,

solar radiation, barometric pressure)

  • Temp/RH logger (one point on each floor)
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SLIDE 11

Experimental Setup

  • Gas concentrations continuously monitored

at 6 locations evenly distributed on each floor

KSU Hal Ross Flour Mill Building Layout

6 1 2 3 4 5

1-1 1-2 1-3 1-4 1-5/ 1-6

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SLIDE 12

1 2 3 20 40 60 80 100 Flow rate (m3/ s) Pressure (Pa)

Pressurization Test

  • Flow rate VS Pressure

– Good seal  Lower flow rate at any given pressure

Better seal Worse seal

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SLIDE 13

1 2 3 20 40 60 80 100 120 140 Flow rate (m3/ s) Pressure (Pa) M B1 SF2 M B3 SF4

Pressurization Test

  • Sealing quality of MB1, SF2 and MB3 fumigations

was identical

  • Pressure test result of SF4 experiment was

adversely affected by strong outdoor wind  Assuming best sealing quality of SF4 experiment, sealing

quality of all fumigations was the same

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SLIDE 14

Gas Concentration: MB1

HLT  16.4 hr HLT  10.2 hr HLT  111 hr

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SLIDE 15

Gas Concentration: SF2

HLT  19.7 hr

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SLIDE 16

Gas Concentration: MB3

HLT  26 hr

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SLIDE 17

Gas Concentration: SF4

HLT  9.9 hr HLT  26.1 hr

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SLIDE 18

Discussion

  • Both MB and SF were evenly distributed

throughout the building

  • Both MB and SF fumigations showed varying

HLTs

  • Sealing quality was the same, but different

HLTs were observed  What caused these differences?  Can the weather data explain this?

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SLIDE 19

Gas Concentration: MB1

16.4hr HLT

Avg spd = 3.52

10.2hr HLT

Avg spd = 7.12

111hr HLT

Avg spd = 1.65

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SLIDE 20

Gas Concentration: SF2

19.7hr HLT

Avg spd = 3.67

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SLIDE 21

Gas Concentration: MB3

26hr HLT

Avg spd = 2.16

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SLIDE 22

Gas Concentration: SF4

9.9hr HLT

Avg spd = 6.9

26.1hr HLT

Avg spd = 3.0

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SLIDE 23

Discussion

  • Wind speed data are consistent with the
  • bserved HTLs
  • Small fluctuations of wind could not be

picked up by gas monitoring  How about buoyancy and barometric pressure pumping forces?

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SLIDE 24

Barometric Pressure

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SLIDE 25

10 15 20 25 30 35 5 10 15 20 25 Temperature (C) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside 10 15 20 25 30 35 5 10 15 20 25 Temperature (C) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside 10 15 20 25 30 35 5 10 15 20 25 Temperature (C) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside 10 15 20 25 30 35 5 10 15 20 25 Temperature (C) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside

Temperatures

MB1 SF2 SF4 MB3

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SLIDE 26

Relative Humidity

20 40 60 80 100 5 10 15 20 25 RH (%) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside 20 40 60 80 100 5 10 15 20 25 RH (%) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside 20 40 60 80 100 5 10 15 20 25 RH (%) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside 20 40 60 80 100 5 10 15 20 25 RH (%) Elapsed time (hr) Flr 1 Flr 2 Flr 3 Flr 4 Flr 5 Outside

MB1 SF2 SF4 MB3

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SLIDE 27

Solar Radiation

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SLIDE 28

Discussion

  • Clear-cut correlations between buoyancy and pressure

pumping forces and HLTs could not be established

– Their effects might be overshadowed by the wind effect – More data analyses will be conducted after the final set of experiments

  • Despite variations in outside temperature, RH and

solar radiation, inside temperatures and RHs were relatively stable

– Relatively airtight building – The heat transfer, generation and accumulation rates were balanced – Similar observations can be expected for buildings with the similar airtightness level

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SLIDE 29

Summary of Results

MB1 SF2 MB3 SF4 Starting time 6:40 PM May 6th 6:00 PM May 27th 2:50 PM Aug 11th 2:45 PM Aug 19th Exposure (hr) 24 24 24 24 Total gas used (kg) 181 (400 lb) 567 (1250 lb) 159 (350 lb) 511 (1125 lb) Inside temp (C) 22 - 23 23 - 26 27 - 31 28 - 32 Outside temp (C) 15 - 29 14 - 26 19 - 34 16 - 27 Inside RH (%) 39 - 50 34 - 44 40 - 60 40 - 55 Outside RH (%) 37 - 91 25 - 88 30 - 90 45 - 95 Avg wind spd (m/s) 1.65, 3.52, 7.12 3.67 2.16 3.0, 6.9 HLT (hr) 111, 16.4, 10.2 19.7 26 26.1, 9.9 Ct product (g-hr/m3) 283 - 327 923 - 1191 268 - 318 663 - 1003

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SLIDE 30

Findings

  • Fumigation experiments at Hal Ross Mill

confirmed the previous findings

  • SF and MB showed similar gas distribution and

leakage characteristics

– Inside gas distributions were dominated by circulation fans – Leakage rates were influenced by environmental conditions – For these particular experiments, wind was the dominating factor

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SLIDE 31

Findings

  • Sealing effectiveness can be determined by

pressurization testing ahead of a fumigation

– By itself, it cannot predict HLT – It can differentiate a "well" vs "poorly" sealed facility

 How can we use the pressurization test to predict HLT more accurately?

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SLIDE 32

32

2 2 2

1000 U C t C A Q Q Q

w s L w s

    

Superposition

  • Quadratic superposition method
  • Used by the HVAC industry to quantify

air infiltration in houses for energy saving and in-door air quality purposes

ln(2) 3600 V HLT Q 

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SLIDE 33

33

Superposition

2 2 2

1000 U C t C A Q Q Q

w s L w s

    

?

Leakage due to stack effect Leakage due to wind effect Total leakage rate Temperature difference Wind velocity Equivalent leakage area Stack coefficient Wind coefficient Could be estimated by pressurization test and computer simulation

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SLIDE 34

Thank You