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AWMA Presentation Application of Two State-of-the-art Dispersion Models

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AWMA Presentation : Application of Two State-of-the-art Dispersion Models
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AWMA Annual Conference June 16-19, 2009 Paul Complin 1 , Robert Lyng 2 , Hong Liu 3 , Alan Cocks 4 1ORTECH Environmental, [email protected] 2 Ontario Power Generation Inc., [email protected] 3 PhD Candidate, York University, [email protected] 4 EnviroAnalytics, [email protected] Application of Two State-of-the- art Dispersion Models
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Page 1: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

Paul Complin1, Robert Lyng 2,

Hong Liu 3, Alan Cocks4

1ORTECH Environmental, [email protected] Ontario Power Generation Inc., [email protected]

3 PhD Candidate, York University, [email protected] EnviroAnalytics, [email protected]

Application of Two State-of-the-art

Dispersion Models

Page 2: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

2

Ontario Regulation 419/05 under the Ontario Environmental Protection Act introduced new air requirements including updated air dispersion models.

New Ontario Air Regulatory RegimeNew Ontario Air Regulatory Regime

Page 3: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

3

All Ambient Air Criteria Met for current Regime

But Preliminary Screening Indicated Potential for Hundreds of Hours of Exceedances

SO2 selected as the basis for assessing compliance risk.

Compliance IssueCompliance Issue

Page 4: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

4

Develop a Risk Based Operational Regime that meets the new Requirements– Operational Restrictions– Fuel Switching– Capital Upgrades (e.g. FGD)

Overall ProjectOverall Project

Page 5: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

5

SO2 selected as the basis for assessing compliance risk.

AERMOD and ADMS selected as the Assessment Models

Modelling ProjectModelling Project

Page 6: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

6

– Eight Coal Fired Power Generation Units– Range of coal types and blends– Two 200 metre stacks with four flues each– CEMs measure SO2 emission rates, exhaust

velocities, exhaust temperatures– Lakeshore site, flat terrain

Nanticoke Generating StationStation

Page 7: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

7

Lake Erie

Lake Ontario

Nanticoke GS

Buffalo

Toronto

Detroit

Page 8: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

8

Page 9: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

9

Regulation 419/05 and the Air Dispersion Modelling Guideline for Ontario

• Issued in 2005, updated March 2009• Screen3/AERMOD as the primary model• Regional 5 year Meteorological Data Sets• Highest 8 hours Excluded as Outliers• Alternate Models ‘If Conditions Warrant’

Modelling ProtocolModelling Protocol

Page 10: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

10

AERMOD PerformanceAERMOD Performance

1

10

100

1000

1 10 100 1000

Ambient SO2 (ug/m3)

Mo

dell

ed

SO

2 (

ug

/m3)

Unpaired Q-Q

1/1 lineX2 line

/2 line

Hong
This slide demonstrates that AERMOD overestimates the ambient SO2 concentrations above 20 ug/m3, even with the background included. This perhaps could be the base for the negotiable zone of the comliance chart
Page 11: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

11

Modelling MethodologyModelling Methodology

Ambient SO2

Operational conditions(8 units @ variable loads)

Sulphur Contents of Coal Blends

Continuous Emission Monitor

Data(Flow,

Temp, SO2)

SO2 Emission Inventory

Flow Rate(function of

GEO);Temperature

MOE 5 Year Meteorology

Set

AERMODfollowingADMGO:

ADMS with identical inputs

Understand Model

Performance

Assess Risk Factors(AAQC)

Develop Risk Based Operational

Regime

Page 12: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

12

Two Models: AERMOD & ADMSTwo Models: AERMOD & ADMS

AERMOD ADMSBoth “New Generation” models

Components are based on similar sets of state-of-the-art algorithms to describe the state of atmospheric boundary layer

Bimodal distribution of turbulent vertical velocities for convective conditions.

Regulatory model in US & Ontario and Alternative model elsewhere.

Regulatory model in UK and Alternative model in US.

Allows vertical profiles of wind and temperature to be input.

Requires only one level of near-ground observations to be input, but could take the state of the art ABL as input.

Contains shoreline module.

Hong
This slide highlights the common features and differences for the two models, ideal for assessing the model uncertainties
Page 13: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

13

Dispersion Factors for Five ScenariosDispersion Factors for Five Scenarios(all units at MCR)(all units at MCR)

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

1 10 100 1000 10000

Number of Hours within 5-Year (1996 - 2000)

Ho

url

y D

isp

ersi

on

Fac

tor

(ug

/m3/

g/s

)Sc 1 AERMOD

Sc2 ADMS4 with AERMET Data

Sc3 ADMS4

Sc4 ADMS4 Coastal - Water Temperature

Sc5 ADMS4 Coastal - Air Temperature

Hong
This slide demonstrates that AERMOD overestimates the ambient SO2 concentrations above 20 ug/m3, even with the background included. This perhaps could be the base for the negotiable zone of the comliance chart
Page 14: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

14

Key Model ParametersKey Model Parameters

Monin-Obukhov Length Boundary Layer Depth

-1.2

-0.8

-0.4

0

0.4

0.8

1.2

-1.2 -0.8 -0.4 0 0.4 0.8 1.2

ADMS4 1/Lmo(m-1)

AERM

ET 1

/Lm

o(m

-1)

0

1000

2000

3000

4000

5000

0 1000 2000 3000 4000 5000

ADMS4 bl height (m)AE

RMET

bl h

eigh

t (m

)

y

Page 15: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

15

Wind Speed versus Dispersion FactorWind Speed versus Dispersion Factor

1

3

5

7

9

11

13

15

17

19

21

0.06 0.11 0.16 0.21 0.26

Hourly Dispersion Factor (ug/m3/g/s)

Win

d S

pe

ed

(m

/s)

AERMOD

ADMS4

Hong
This slide demonstrates that AERMOD overestimates the ambient SO2 concentrations above 20 ug/m3, even with the background included. This perhaps could be the base for the negotiable zone of the comliance chart
Page 16: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

16

1/L1/Lmomo versus Dispersion Factor versus Dispersion Factor

-0.6

-0.4

-0.2

0

0.06 0.11 0.16 0.21 0.26

Hourly Dispersion Factor (ug/m3/g/s)

1/L

mo(m

-1)

AERMOD

ADMS4

Hong
This slide demonstrates that AERMOD overestimates the ambient SO2 concentrations above 20 ug/m3, even with the background included. This perhaps could be the base for the negotiable zone of the comliance chart
Page 17: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

17

Model ParametersModel Parametersfor 1000 highest Maximum Dispersion Factorsfor 1000 highest Maximum Dispersion Factors

Monin-Obukhov Length Boundary Layer Depth

-0.6

-0.2

0.2

0.6

1

-0.6 -0.2 0.2 0.6 1

ADMS 1/Lmo (m-1)

AER

MET

1/L

mo

(m-1

)

0

1000

2000

3000

4000

5000

0 1000 2000 3000 4000 5000

ADMS bl height (m)

AEM

ET b

l hei

ght (

m)

Page 18: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

18

Dispersion Factors for Five ScenariosDispersion Factors for Five Scenarios(all units at MCR)(all units at MCR)

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

0.5

1 10 100 1000 10000

Number of Hours within 5-Year (1996 - 2000)

Ho

url

y D

isp

ersi

on

Fac

tor

(ug

/m3/

g/s

)Sc 1 AERMOD

Sc2 ADMS4 with AERMET Data

Sc3 ADMS4

Sc4 ADMS4 Coastal - Water Temperature

Sc5 ADMS4 Coastal - Air Temperature

Hong
This slide demonstrates that AERMOD overestimates the ambient SO2 concentrations above 20 ug/m3, even with the background included. This perhaps could be the base for the negotiable zone of the comliance chart
Page 19: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

19

ConclusionsConclusions

• Two state-of-the-art models were applied in compliance mode to assess their differences. 

• The models' different treatment of key model parameters results in significantly different outputs. 

• The identification of the compliance parameters, and therefore the cost of compliance, can be strongly influenced by model selection. 

• ADMS offers a shoreline module whereas AERMOD currently does not. This difference may be important for facilities near large bodies of water.

Page 20: AWMA Presentation Application of Two State-of-the-art Dispersion Models

AWMA Annual Conference June 16-19, 2009

Paul G. Complin

Principal- Compliance and Permitting

ORTECH Environmental

804 Southdown Road

Mississauga, ON, Canada L5J 2Y4

Phone 905 822-4120 e266 or 877-774-6560 e266

Fax 905 855-0406

[email protected] www.ortech.ca

Questions?


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