Secondary Particulate Concentration and Ammonia Levels

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Secondary Particulate Concentration and Ammonia Levels EUEC2017: Energy, Utility & Environment Conference San Diego, CA Dr. Tamer Alexan & Tina Liu February 9, 2017

Transcript of Secondary Particulate Concentration and Ammonia Levels

Page 1: Secondary Particulate Concentration and Ammonia Levels

Secondary Particulate Concentration and Ammonia Levels

EUEC2017: Energy, Utility &

Environment Conference

San Diego, CA

Dr. Tamer Alexan & Tina Liu

February 9, 2017

Page 2: Secondary Particulate Concentration and Ammonia Levels

Outline of Presentation

• Introduction

• Composition of PM2.5

• Role of atmospheric ammonia (NH3) in secondary PM2.5 (SPM) formation

• SPM assessment

• Objective

• Approach

• Assumptions

• Modeling

• Results

• Summary of findings

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Introduction

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Composition of PM2.5

Particulate Matter (PM) consists of solid and liquid particles.

Classification of

Particulate MatterDescription

Primary Emitted at the emissions source in particle form.

Secondary

Formed from a series of chemical and physical reactions

involving different precursor gases, such as SOx and

NOx, NH3 and ozone (O3) reacting to form sulphate,

nitrate and ammonium particulate matter.

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24%

13%

13%

27%

7%

10%

6%Sulfate (secondary)

Nitrates (secondary)

Ammonium (secondary)

Organic Carbon (secondary)

Soil (primary)

Black Carbon (primary)

Other (primary/secondary)

Source: USEPA, https://www3.epa.gov/ttnchie1/conference/ei13/mobile/hodan.pdf

Composition of PM2.5

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Source: Stauffer, W. 2016. Regulating particulate pollution: Novel analysis

yields new insights. Energy Futures, MIT Initiative.

O3

SPM Formation

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SPM Assessment

Source: US EPA. 2014. Guidance for PM2.5 Permit Modeling. EPA-454/B-14-001. May 2014

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Objective

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Objectives

• How AERMOD and CALPUFF predict SPM

• Changes in SPM formation due to changes in background NH3 levels

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Approach

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Assumptions

• Emission rates and stack parameters taken from an existing Thermal Electric Power Generation Plant

• Coal-fired plant with six generating units

• Capacity: 2,141 MW

• Total NOx Rate: 26,038 t/yr

• Total SO2 Rate: 26,379 t/yr

Stack Height (m) Diameter (m)Exit Velocity

(m/s)

Exit

Temperature

(°C)

1 156 6.4 33.2 171.2

2 155.5 7.3 32.2 153.6

3 155.5 7.3 35.9 154

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• Ozone (O3) and NH3 concentration from 5 stations in British Columbia

• Ozone (O3) concentrations

• Average: From five local stations over 12 months

• Seasonal: 3 month averages from five local stations

• Ammonia concentrations

• Average: From 5 local stations over 12 months

• Maximum: Maximum reported concentration of 5 local stations over 12

months

• Minimum : Minimum reported concentration of 5 local stations over 12

months

• Seasonal: 3 month averages from five local stations

Assumptions

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Modeling

• 50 km x 50 km model

domain

• One year of prognostic

mesoscale

meteorological model

(MM5) data with

resolution of 4 km

• CALMET, resolution 1

km, produced in one

season

Model Domain (Red Outline)

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Modeling

• SPM formation not accounted for by AERMOD

• CALPUFF used to estimate SPM ambient levels.

• Chemistry modules:

• MESOPUFF: SO2, SO4+, NOx, HNO3, NO3

• RIVAD/ARM3: NO, NO2, NO2 NO3, SO2 NO3

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• Modeled 6 cases based on background NH3 and O3 concentrations from measured

data in the model domain

Case Ammonia (NH3) Ozone (O3)

Case 1: Average Average Average

Case 2: Maximum Maximum Average

Case 3: Minimum Minimum Average

Case 4: Seasonal NH3 Seasonal Average

Case 5: Seasonal NH3 & O3 Seasonal Seasonal

Case 6: Default Model default Model default

Assumptions

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• Background concentrations from measured data in the model domain

CaseAmmonia (NH3) [ppb,

µg/m3]Ozone (O3) [ppb, µg/m3]

Case 1: Average 2.3, 1.6 16, 32

Case 2: Maximum 13, 9.1 16, 32

Case 3: Minimum 0.05, 0.04 16, 32

Case 4: Seasonal NH3 0.5-7.4, 0.3-5.2 16, 32

Case 5: Seasonal NH3 & O3 0.5-7.4, 0.3-5.2 9-24, 18-48

Case 6: Default 10, 7 10 , 20

Assumptions

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0.0

1.0

2.0

3.0

4.0

5.0

6.0

7.0

8.0

0

5

10

15

20

25

30

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Am

mo

nia

Co

nce

ntr

ati

on

(p

pb

)

Ozo

ne C

on

cen

trati

on

(p

pb

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Ozone and Ammonia Monthly Levels

Ozone

Ammonia

Assumptions

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Results

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Results

Average Maximum Minimum

Seasonal NH3 Seasonal NH3+O3 Default

4.0

3.0

2.0

1.0

0.9

0.8

0.7

0.6

0.5

Co

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/m3)

Secondary PM2.5 24-Hour Concentrations

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Advisian / 20

Seasonal NH3 Seasonal NH3+O3 Default

Average Maximum Minimum1.0E-01

9.0E-02

8.0E-02

7.0E-02

5.0E-02

4.0E-02

3.0E-02

2.0E-02

1.0E-02

Co

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ntra

tion

(µg

/m3)

Secondary PM2.5 Annual Concentrations

Results

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0.0

0.5

1.0

1.5

2.0

2.5

3.0

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4.0

4.5

5.0

0 5 10 15 20

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ntr

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s (µ

g/m

3)

Distance from Source (km)

24-hour PM2.5 Concentrations

Average

Maximum

Minimum

Seasonal NH3

Seasonal O3+NH3

Default

Results

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0.0

0.5

1.0

1.5

2.0

2.5

0-5 km 5-10 km 10-15 km 15-20 km 20-25 km

Co

nce

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g/m

3)

Distance from Source (km)

Average 24-Hour PM2.5 Concentrations

Average

Maximum

Minimum

Seasonal NH3

Seasonal O3+NH3

Default

Results

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0.00

0.02

0.04

0.06

0.08

0.10

0.12

0.14

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0.18

0.20

0 5 10 15 20

Co

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s (µ

g/m

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Distance from Source (km)

Annual PM2.5 Concentrations

Average

Maximum

Minimum

Seasonal NH3

Seasonal O3+NH3

Default

Results

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0.0E+00

2.0E-02

4.0E-02

6.0E-02

8.0E-02

1.0E-01

1.2E-01

1.4E-01

0-5 km 5-10 km 10-15 km 15-20 km 20-25 km

Co

nce

ntr

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g/m

3)

Distance from Source (km)

Average Annual PM2.5 Concentrations

Average

Maximum

Minimum

Seasonal NH3

Seasonal O3+NH3

Default

Results

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-100

0

100

200

300

400

50024 Hour Concentrations from Seasonal O3+NH3

Average Maximum

Minimum Seasonal NH3

Default

-100

0

100

200

300

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0 5 10 15 20 25

Annual Concentrations from Seasonal O3+NH3

Distance from Source (km)

Perc

en

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han

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Results

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Summary of Findings

• Ammonia in ambient air can react with NOx and SO2 to form

ammonium nitrate and ammonium sulphate, i.e. SPM

• AERMOD does not have the capability to predict SPM

• CALPUFF has 2 chemistry modules; RIVAD and MESOPUFF II

• Keeping O3 level constant there’s a direct relationship between NH3 and

SPM formation

• Using default NH3 and O3 levels provides overestimated SPM, which are

150 to 450% more than using seasonal NH3 and O3 levels

• Keeping O3 levels constant using an single average for SPM formation

can provide similar value if using variable seasonal O3 and NH3 levels

with season (between 9 and 25 percent less than using seasonal NH3

and O3 levels)Ozone has a significant role in SPM formation

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Thank you.