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A CASE STUDY: TOMAGO ALUMINIUM SMELTER
Donnelly, Sarah-Jane1, Shaw,
Natalie2, Killip, Christine3, Roser,
4
Neil

Analysis of measured data

1 Senior

Consultant, Katestone Environmental,
Brisbane
2 Principal Consultant, Katestone Environmental,
Brisbane 3 Managing Director, Katestone
Environmental, Brisbane 4Environment Services
Team Leader, Tomago Aluminium Company,
Newcastle

The Farm

Objective: Determine the source of 24-hour exceedances of SO2

Overview

TAC ambient monitoring for SO2 consists of five sites within 1.1 km
of the site, with monitoring

A review of the monitoring data found:
• 21 exceedances of 24-hr SO2 at School Drive

360

12

315
10

270

Wind Direction (°)

• 9 exceedances of 24-hr SO2 at the Farm
• No exceedances of 1-hr SO2 standard at any site during these periods

8

225

180

6

135
4

Wind Speed (m/s)

Five SO2 monitors
and met station

School Drive

90

• Previous air dispersion modelling of the site did not highlight these
meteorological conditions as a potential issue
• Measured SO2 concentrations at the Highway, Laverick Avenue and at the Met
station comply with 1-hr and 24-hr SO2 NEPM standard of 570 µg/m3 and 228
µg/m3, respectively

The analysis of monitoring
data suggests:
• A wake effected stack
source
•Direction of source
consistent with bake ovens

0

0

Hour
Wind direction

Wind speed

600

500

Concentration (µg/m³)

• Exceedances occurred during extended periods of strong westerly winds
(prevalent in winter months)

2

45

400

300

200

100

0

Hour
School Drive

Emissions

Wind tunnel modelling

Dispersion modelling

Sources of SO2
•2 Bake oven stacks (BO1 & BO2)
•Fugitive emissions from bake oven buildings
•7 Gas treatment stacks

Investigated:

Fugitive emissions:
Investigated side and
roof vents
Side vents not a source
of emissions during
event days

Outcome:

Modelled met file
Building wakes
Source configuration

Side vents on bake oven building

Farm

Met file representative of site
Important to local dispersion
Roof vents modelled as several
volume sources
May be important
Residual emissions occur

Stack tip downwash
Shut down of bake ovens
Modelled source contribution of 24-hour average SO 2 at the School monitoring station
180

Outcome:

160

Bake oven 1 emissions variability
40

700

35

600

30

500

25

400

20

300

15

200

100

5

0

Concentration (mg/m³)

120

10

0

Sources of SO2
2 oven
Emissions stacks (BO1 & BO2) – constant emissions
average emission
measurement: rate
Fugitive emissions from bake oven buildings –
BO1, roofvolume sources with hourly emissions file with
several vents and gas
treatment emissions and modelled 10°C above ambient
constant stacks
7 Gas treatment stacks – constant emissions average
emission rate
SO2 concentration (mg/m3)

Emission rate (g/s)

800

Concentration of SO 2 (µg/m3)

140

100

80

60

40

20

0

30 May

2 Aug

12 Aug

16 Aug

24 Aug

26 Aug

27 Aug

16 Sep

22 Jun

9 Jul

11 Jul

12 Jul

Carbon Bake Fugitive

59.9

42.8

46.4

61.8

65.6

37.4

56.9

45.1

39.0

44.9

62.5

40.4

Gas Treatment Stacks

13.2

20.4

18.4

19.9

20.9

23.0

19.3

26.3

7.8

11.8

12.3

51.1

51.3

51.2

68.3

75.3

35.4

64.6

46.0

54.6

63.3

77.9

Outcome:
•Main source is the gas treatment stacks (290° to 310°)
•Bake oven stacks resulted in lowest concentrations
•Fugitive sources impact at wind speeds of < 5 m/s

19.9

Bake Oven Stacks

•Modelling replicated the
general trend but
concentrations were
underestimated
•Major sources were the bake
oven stacks and roof vents

69.6

Emission rate (g/s)

Risk Assessment

Evaluation of hazard index

2- Assessment of exposure
Identification of sensitive receptor locations

1- Hazard identification
Recognise that there are exceedances and
therefore a hazard

4- Risk characterisation
The
risk
assessment
was
expressed as a hazard index for
each sulphur dioxide air quality
criteria and averaging period

Results showed a number of
receptors in zone 1 were at risk

The hazard index was calculated
as follows:

Sources of SO2
Where:
2 Bake oven stacks (BO1 & BO2) – constant emissions average emission rate
Fugitive emissions from bake oven buildings – several volume sources with hourly emissions file with constant emissions and modelled 10°C above ambient
HI is the hazard
7 Gas treatment stacks – constant emissions average emission rate

Contour of scaled up predicted maximum 24hour average SO2 ground-level concentrations to
match measurements. Shows the
area of
potential exceedance or the areas ‘at risk’

3- Dose response assessment
Evaluate the qualitative and quantitative
toxicity information to estimate the incidence
of adverse effects occurring in humans at
different exposure levels

index
Max Ci is the maximum
concentration
measured
(or
predicted by dispersion model) in
a zone for a particular pollutant
averaging period i
AQCi is the air quality criteria for
the pollutant Max Ci for averaging
period i

Further information
P (07) 3369
3699

Sarah-Jane Donnelly

Conclusions:
TAC should consider options for
mitigating potential impacts at
residences within 1 km to the east
of the smelter.
TAC should consider undertaking
further investigation of sulfur
dioxide levels at the Detention
Centre.

Katestone has been a leading provider of expert
air quality and meteorology services since 1989.
It now assists clients with sustainability, climate
change and energy. Located in Brisbane, our
team of 20 professionals have established an
enviable reputation for high quality advice to
clients in the mining, energy, heavy industry,
government and agricultural sectors. Our long
list of loyal clients is a testament to the
principled way in which we conduct our
business.

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A Case Study: Tomago Aluminium Smelter

  • 1. A CASE STUDY: TOMAGO ALUMINIUM SMELTER Donnelly, Sarah-Jane1, Shaw, Natalie2, Killip, Christine3, Roser, 4 Neil Analysis of measured data 1 Senior Consultant, Katestone Environmental, Brisbane 2 Principal Consultant, Katestone Environmental, Brisbane 3 Managing Director, Katestone Environmental, Brisbane 4Environment Services Team Leader, Tomago Aluminium Company, Newcastle The Farm Objective: Determine the source of 24-hour exceedances of SO2 Overview TAC ambient monitoring for SO2 consists of five sites within 1.1 km of the site, with monitoring A review of the monitoring data found: • 21 exceedances of 24-hr SO2 at School Drive 360 12 315 10 270 Wind Direction (°) • 9 exceedances of 24-hr SO2 at the Farm • No exceedances of 1-hr SO2 standard at any site during these periods 8 225 180 6 135 4 Wind Speed (m/s) Five SO2 monitors and met station School Drive 90 • Previous air dispersion modelling of the site did not highlight these meteorological conditions as a potential issue • Measured SO2 concentrations at the Highway, Laverick Avenue and at the Met station comply with 1-hr and 24-hr SO2 NEPM standard of 570 µg/m3 and 228 µg/m3, respectively The analysis of monitoring data suggests: • A wake effected stack source •Direction of source consistent with bake ovens 0 0 Hour Wind direction Wind speed 600 500 Concentration (µg/m³) • Exceedances occurred during extended periods of strong westerly winds (prevalent in winter months) 2 45 400 300 200 100 0 Hour School Drive Emissions Wind tunnel modelling Dispersion modelling Sources of SO2 •2 Bake oven stacks (BO1 & BO2) •Fugitive emissions from bake oven buildings •7 Gas treatment stacks Investigated: Fugitive emissions: Investigated side and roof vents Side vents not a source of emissions during event days Outcome: Modelled met file Building wakes Source configuration Side vents on bake oven building Farm Met file representative of site Important to local dispersion Roof vents modelled as several volume sources May be important Residual emissions occur Stack tip downwash Shut down of bake ovens Modelled source contribution of 24-hour average SO 2 at the School monitoring station 180 Outcome: 160 Bake oven 1 emissions variability 40 700 35 600 30 500 25 400 20 300 15 200 100 5 0 Concentration (mg/m³) 120 10 0 Sources of SO2 2 oven Emissions stacks (BO1 & BO2) – constant emissions average emission measurement: rate Fugitive emissions from bake oven buildings – BO1, roofvolume sources with hourly emissions file with several vents and gas treatment emissions and modelled 10°C above ambient constant stacks 7 Gas treatment stacks – constant emissions average emission rate SO2 concentration (mg/m3) Emission rate (g/s) 800 Concentration of SO 2 (µg/m3) 140 100 80 60 40 20 0 30 May 2 Aug 12 Aug 16 Aug 24 Aug 26 Aug 27 Aug 16 Sep 22 Jun 9 Jul 11 Jul 12 Jul Carbon Bake Fugitive 59.9 42.8 46.4 61.8 65.6 37.4 56.9 45.1 39.0 44.9 62.5 40.4 Gas Treatment Stacks 13.2 20.4 18.4 19.9 20.9 23.0 19.3 26.3 7.8 11.8 12.3 51.1 51.3 51.2 68.3 75.3 35.4 64.6 46.0 54.6 63.3 77.9 Outcome: •Main source is the gas treatment stacks (290° to 310°) •Bake oven stacks resulted in lowest concentrations •Fugitive sources impact at wind speeds of < 5 m/s 19.9 Bake Oven Stacks •Modelling replicated the general trend but concentrations were underestimated •Major sources were the bake oven stacks and roof vents 69.6 Emission rate (g/s) Risk Assessment Evaluation of hazard index 2- Assessment of exposure Identification of sensitive receptor locations 1- Hazard identification Recognise that there are exceedances and therefore a hazard 4- Risk characterisation The risk assessment was expressed as a hazard index for each sulphur dioxide air quality criteria and averaging period Results showed a number of receptors in zone 1 were at risk The hazard index was calculated as follows: Sources of SO2 Where: 2 Bake oven stacks (BO1 & BO2) – constant emissions average emission rate Fugitive emissions from bake oven buildings – several volume sources with hourly emissions file with constant emissions and modelled 10°C above ambient HI is the hazard 7 Gas treatment stacks – constant emissions average emission rate Contour of scaled up predicted maximum 24hour average SO2 ground-level concentrations to match measurements. Shows the area of potential exceedance or the areas ‘at risk’ 3- Dose response assessment Evaluate the qualitative and quantitative toxicity information to estimate the incidence of adverse effects occurring in humans at different exposure levels index Max Ci is the maximum concentration measured (or predicted by dispersion model) in a zone for a particular pollutant averaging period i AQCi is the air quality criteria for the pollutant Max Ci for averaging period i Further information P (07) 3369 3699 Sarah-Jane Donnelly Conclusions: TAC should consider options for mitigating potential impacts at residences within 1 km to the east of the smelter. TAC should consider undertaking further investigation of sulfur dioxide levels at the Detention Centre. Katestone has been a leading provider of expert air quality and meteorology services since 1989. It now assists clients with sustainability, climate change and energy. Located in Brisbane, our team of 20 professionals have established an enviable reputation for high quality advice to clients in the mining, energy, heavy industry, government and agricultural sectors. Our long list of loyal clients is a testament to the principled way in which we conduct our business.