next generation emission measurements for fugitive, area
TRANSCRIPT
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www.epa.gov/airscienceAIR CLIMATE & ENERGY RESEARCH PROGRAMB U I L D I N G A S C I E N T I F I C F O U N D A T I O N F O R S O U N D E N V I R O N M E N T A L D E C I S I O N S
U.S. Environmental Protection AgencyOffice of Research and Development
Next Generation Emission Measurements for Fugitive, Area Source, and Fence Line Applications
U.S. EPA Region 4 Air Monitoring Workshop - April 14, 2016 E. Thoma, H. Brantley - U.S. EPA, Office of Research and Development
J. DeWees, R. Merrill, D. Nash - U.S. EPA Office of Air Quality Planning and Standards
NRMRL Fugitive and Area Source GroupSource and Fence Line MeasurementsMethods and Technology Development
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2U.S. Environmental Protection AgencyOffice of Research and Development
Denver CO
> 25,000 active wells
Denver CO
> 25,000 active oil and gas wells
How many have issues?
2
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3U.S. Environmental Protection AgencyOffice of Research and Development
Where’s the leak?
3
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4U.S. Environmental Protection AgencyOffice of Research and Development
Next Generation Emissions Measurement (NGEM)
Mobile inspection
systems
SECONDARY MIRROR
PRIMARY MIRROR
SEALED UV WINDOW
BEAM SPLITTER
DETECTORS
FOCUSING LENS
Lower cost open-path
optical systems
Deep UV optical sensor
Drive-by leak inspection
Drop-in-place sensor packages
Prototype PID sensor package (pres. temp. , RH., VOC)
Combining sensor and wind data
New leak-location algorithms
Low-cost stand-alone
sensors4
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5U.S. Environmental Protection AgencyOffice of Research and Development
Emission5
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6U.S. Environmental Protection AgencyOffice of Research and Development
Ambient monitoring
Direct source detection /
measurement
NGEM ToolsSome now, some future
Distance from source (increasing)
Optical Gas Imaging
In-plant sensor
networks
Open source and process monitoring Passive and
active fence line
Kilometer-mobile survey
Community and personal monitoring
Work truck sensors
Airborne and Satellite
scale
6
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7U.S. Environmental Protection AgencyOffice of Research and Development
NGEM --- Lower cost is desired
Detection sensitivity / performance
Low
Impl
emen
tatio
n co
st
High
High
Auto-GCs($$$$)Open-path
($$$$)
Research Mobile ($$$$)
Today’s Tech
Fence line sensors
($)
Automated mobile ($$)
Low cost open-path
($$)
Next gen
7
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8U.S. Environmental Protection AgencyOffice of Research and Development
Emission
8
Work Truck
Community
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9U.S. Environmental Protection AgencyOffice of Research and Development
driving path
wind
CH4
EPA Draft Mobile Measurement Method - OTM 33 Geospatial Measurement of Air Pollution, Remote Emissions Quantification
https://www3.epa.gov/ttnemc01/prelim/otm33.pdf
9
Assessment of methane emissions from oil and gas production pads using mobile measurements: H.L, Brantley, E.D. Thoma, W.C. Squier, B. B. Guven,
and D. Lyon. 2014. ES&T, no. 48 (24):14508-14515.
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10U.S. Environmental Protection AgencyOffice of Research and Development
Draft mobile sensor method EPA OTM 33
benzene leak
10
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11U.S. Environmental Protection AgencyOffice of Research and Development
11
Work truck sensors - Find issues in many placesConsider upstream oil and gas
26
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12U.S. Environmental Protection AgencyOffice of Research and Development
12
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13U.S. Environmental Protection AgencyOffice of Research and Development
13
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14U.S. Environmental Protection AgencyOffice of Research and Development
Well pad locations and production levels
Automated mobile sensing …..is it possible?
Opportunistic and planned pathNear and mid-field inverse models
Bayesian forms“Data to the cloud”
14 A Mobile Sensing Approach for Regional Surveillance of Fugitive Methane Emissions in Oil and Gas Production: J. D. Albertson, T. Harvey, G. Foderaro, P. Zhu, X. Zhou, S. Ferrari, S. Amin, M. Modrak, H.L. Brantley, and E.D. Thoma; (2016), ES&T 2016, 50 (5), pp 2487-2497
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15U.S. Environmental Protection AgencyOffice of Research and Development
Ambient monitoring
Direct source detection /
measurement
Source NGAM ToolsSome now, some future
Distance from source (increasing)
Optical Gas Imaging
In-plant sensor
networks
Open source and process monitoring Passive and
active fence line
Kilometer-mobile survey
Community and personal monitoring
Work truck sensors
Airborne and Satellite
scale
15
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16U.S. Environmental Protection AgencyOffice of Research and Development
Wind
Emission
Open-path optical
systems
21
Fence line samplers /
sensors
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17U.S. Environmental Protection AgencyOffice of Research and Development
EPA Method 325 A,B
• Screening check for benzene at refinery fence line
• Two-week, time-integrated passive samplers
• Laboratory GC analysis
EPA Method 325A-Volatile Organic Compounds from Fugitive and Area Sources: Sampler Deployment and VOC Sample Collection. 40 CFR Part 63, Subpart UUU[EPA-HQ-OAR-2010-0682; FRL-9720-4], RIN 2060-AQ75, Petroleum Refinery Sector Risk and Technology Review and NSPS.
Facility fenceline monitoring using passive samplers: E.D. Thoma, M. C. Miller, K. C. Chung, N. L. Parsons, and B. C. Shine. 2011. Facility fenceline monitoring using passive samplers. Journal of the Air & Waste Management Association no. 61 (8):834-842.
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18U.S. Environmental Protection AgencyOffice of Research and Development
South Philly Passive Sampler and Sensor StudyAn applied research effort with multiple objectives
Field work in Philly: June 2013 - March 2015 EPA Region 3, EPA ORD, EPA OAR, and the City of Philadelphia AMS
• Support development of: - Facility fence line measurement methods - Advanced LDAR concepts - Near source tools for communities
• Improve understanding of: - Benzene (and BETX) spatial concentration profiles- Time-resolved monitoring and modeling
South Philadelphia Passive Sampler and Sensor Study, E. D. Thoma, H. L. Brantley, K. D. Oliver, D. A. Whitaker, S. Mukerjee, B. Mitchell, B. Squier, T. Wu, E. Escobar, T. A. Cousett, C. A. Gross-Davis, H. Schmidt, D. Sosna, H. Weiss. JAWMA (in review); and iterim conference
version in Proceedings of the 108th Annual Conference of the Air & Waste Management Association, June 23-26, 2015, Raleigh, NC.
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19U.S. Environmental Protection AgencyOffice of Research and Development
Discussed today
519
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20U.S. Environmental Protection AgencyOffice of Research and Development
7.2 km
Deployment Area in South Philly
20
Passive Samplers
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21U.S. Environmental Protection AgencyOffice of Research and Development 21
Philly PS deployment examples
in the community
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22U.S. Environmental Protection AgencyOffice of Research and Development
Philly Passive Sampler (PS) Benzene Results, June 2013 - March 2015
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23U.S. Environmental Protection AgencyOffice of Research and Development
Investigating Benzene Concentration Gradients
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24U.S. Environmental Protection AgencyOffice of Research and Development
Look at high PS reading (Period 34)
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25U.S. Environmental Protection AgencyOffice of Research and Development
550 m
Zoomed-in View
25
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26U.S. Environmental Protection AgencyOffice of Research and Development
Solar Powered SPods
City of Philadelphia UV DOAS system
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27U.S. Environmental Protection AgencyOffice of Research and Development
SPod Sensor and UV DOAS for Period 34
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28U.S. Environmental Protection AgencyOffice of Research and Development
SPod basic back trajectory example for 11/15/14
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29U.S. Environmental Protection AgencyOffice of Research and Development29
SPod basic back trajectory example for 11/15/14
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30U.S. Environmental Protection AgencyOffice of Research and Development
30Source: Microsoft Bing Maps (© Microsoft Corporation Pictometry Bird’s Eye © 2010 Pictometry International Corp )
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31U.S. Environmental Protection AgencyOffice of Research and Development
31
NGEM - Potential future benefits:
• Reduce emissions• Create safer working environments• Assist communities (transparency)• Check inventories • Improve exposure science• Enable trading strategies
Thanks!
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32U.S. Environmental Protection AgencyOffice of Research and Development
Backup Slides
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33U.S. Environmental Protection AgencyOffice of Research and Development
Los Alamos National Lab Quick Urban & Industrial Complex (QUIC) Model
Sensors and
Models
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34U.S. Environmental Protection AgencyOffice of Research and Development
Wind direction (deg)
Spod and Sentinel PID Sensor Data
QUIC model data (g/cm3)
Mea
sure
d D
ata
and
QU
IC m
odel
Run
7/0
5/14
, 6 h
ours
Time (hr)
Wind direction change
Sensors and
Models
Draft 062015
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35U.S. Environmental Protection AgencyOffice of Research and Development
QUIC model Run 7/05/14 6 hours – illustrative example This is a simulated source at an assumed location (not a real emission plume)
Sensors and
Models
Draft 06201535