Measurement of fire effluents. Krzysztof Lebek Fire Materials Laboratory Centre for Materials Research and Innovation University of Bolton

Measurement of fire effluents Krzysztof Lebek Fire Materials Laboratory Centre for Materials Research and Innovation University of Bolton Introducti...
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Measurement of fire effluents Krzysztof Lebek Fire Materials Laboratory Centre for Materials Research and Innovation University of Bolton

Introduction z Bench-scale measurement costs less, but

must relate to real fires. z All scale-up of fire is difficult. z Toxicity has often been ignored because of the difficulties in assessment.

How can smoke toxicity be measured? BS 7990, IEC 60695-7-50 (and ISO TS 19700) describe one of the physical fire models capable of making such measurements. The apparatus is known as the Purser furnace

The Purser Furnace Secondary oxidiser – silica wool at 900°C

exhaust gases

thermocouple

secondary air supply smoke sensor CO2

HCl analysis

Effluent dilution chamber

Furnace

primary air supply

The Purser Furnace (mixing chamber)

exhaust gases thermocouple secondary air supply smoke sensor

Effluent dilution chamber

Furnace

primary air supply

Measurements needed for simple fire toxicity assessment CO CO2 O2 Other significant gases e.g. HCl for PVC

Repeatability and Steady State O2 vs time

CO vs time

Oxygen %

21.5

CO ppm

5000

Series1 Series2

21 CO concentration / ppm

20.5 20 O2 / %

Series3

4000

19.5 19 Series1

18.5

Series2 Series3

18

Series4 Series5

17.5

Series4 Series5

3000

2000

1000

0 0

17 0

10

20

30

40

50

60

10

20

30

time / min

60

optical density vs time

CO2 %

Optical density

1.4 Series1 Series2

1.2

Series1 Series2

1.2

Series3

Series3

Series5

Series4

1

1

Series5

optical density

CO2 concentration / %

50

time / min

CO2 in mixing. chamber vs time 1.4

40

-1000

0.8 0.6 0.4

0.8 0.6 0.4 0.2

0.2

0

0 0

10

20

30

-0.2 time / min

40

50

60

0

10

20

30

-0.2 time /min

40

50

60

Equivalence ratio φ The toxic product yields depend mostly on the equivalence ratio φ Actual Fuel/Air Ratio φ= Stoichiometric Fuel/Air Ratio For “stoichiometric” combustion to CO2 and water, φ = 1. For well-ventilated fires, φ = 0.5 For fuel-rich (vitiated) combustion, φ = 2.

Importance of Equivalence Ratio z Different cables have different oxygen

requirements (e.g. EVA, ATH, CaCO3 etc.) z Different cables burn to different degrees (e.g. sheathing, bedding, insulation) z Different fire scenarios burn the cables in different ways

Equivalence ratio φ Problem

To determine the toxic product yields at different equivalence ratio, we must know the stoichiometric air requirement of the cable. Solution

To measure fuel content of gas phase by using O2 analyser on secondary oxidiser (the phi meter method)

Calculation of equivalence ratio φ = φ underventi lated + φ overventil ated ⎛ 20 .95 − [O 2 ]tube ⎞ ⎛ 50 × [O 2 ]box − [O 2 ]sec ondary φ =⎜ ⎟ + ⎜⎜ 20 .95 ⎝ ⎠ ⎝ 20 .95 × primary air flow O2 tube primary air supply

O2 secondary Furnace

O2 box

⎞ ⎟ ⎟ ⎠

Validation using Polypropylene Primary air flow /l min-1 4 15

φ under 0.87 0.82

φ over φ calculated 1.85 0.05

2.71 0.87

φ experimental 3.07 0.82

Determination of Equivalence ratio z For simple polymers, which burn

completely, the equivalence ratio comes from the chemical formula z For cables the equivalence ratio must come from the difference between oxygen supplied and oxygen consumed

Comparison of data from large-scale test and Purser Furnace for Polypropylene 0.2 Large Scale Steady State Tube Furnace

CO yield g/g

0.15

0.1

0.05

0 0

0.2

0.4

too much air

0.6

0.8

1

equivalence ratio φ

1.2

1.4

1.6

not enough air

Oxygen depletion 21

oxygen concentration / %

20,5

20

19,5

19 NYM NHMH

18,5

NHXMH RZ1-K

18 0,5

1,5

2,5

3,5 phi

4,5

CO2 yield 2,5 NYM NHMH

2

NHXMH

CO2 yield g/g

RZ1-K

1,5

1

0,5

0 0,5

1,5

2,5

3,5

phi

4,5

5,5

CO yield 0,25

CO yield / g/g

0,2

0,15

0,1 NYM NHMH NHXMH RZ1-K

0,05

0 0,5

1,5

2,5

3,5

phi

4,5

5,5

FED (Fractional Effective Dose) Fire toxicity is quantified by: FED - the fraction of a lethal dose (for 50% of the population) When FED = 1 then 50% of the population will die. contribution contribution FED = from oxygen + from CO depletion

contribution + from HCN

For example

[CO] LC50 (CO)

contribution + from other gases

FED vs phi 1,6 HC 1,4

HCl hypoxia

1,2

CO

FED

1 0,8 0,6 0,4 0,2 0 0,5 0,6 1,0 1,8 3,3 0,6 0,8 1,4 2,6 5,0 0,5 0,7 1,0 1,9 4,0 0,7 0,8 0,8 0,9 1,1 1,8 2,9 NYM

NHMH

NHXMH

RZ1-K

0

PVC data PVC Power FR Polyolefin FR Polyolefin Power data UTP Cat 5 NHXMH power RZ1-K RV-K NO7V-K

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

1,5

Well-ventilated 650°C

2

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

Under-ventilated 825°C

Well-ventilated 650°C

Oxidative Pyrolysis 350°C

FED

FED for ten cables 2,5

HC HCl hypoxia CO

1

0,5

SSTP Cat 7

Conclusions – Bench Scale Toxicity data • The Purser furnace compares the combustion toxicity, independent of the flammability. • For the limited range of (PVC and Polyolefin) cables presented here polyolefin cables show lower toxic product yields than PVC during burning. • The higher CO yield for PVC results from interference of the flame reactions by HCl resulting in incomplete combustion.

Conclusions – comparison with large scale test z Correlation with large scale tests is difficult. z Cables must be burnt whole, to allow the FR

sheath to protect the more flammable insulation. z Large scale test data must be normalised by mass loss. z The steady state method is capable of reasonable correlation using data for a wellventilated fire scenario.

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