remote sensing/fence line sensors, laki tisopulos, scaqmd

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Advanced Monitoring Technologies Laki Tisopulos, Ph.D., P.E. Assistant Deputy Executive Officer Science & Technology Advancement South Coast AQMD A&WMA West Coast Section Conference Diamond Bar - October 15, 2015

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Page 1: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Advanced Monitoring

Technologies

Laki Tisopulos, Ph.D., P.E.

Assistant Deputy Executive Officer

Science & Technology Advancement

South Coast AQMD

A&WMA West Coast Section Conference

Diamond Bar - October 15, 2015

Page 2: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Ongoing SCAQMD Initiatives

� Air Quality Sensor Performance Evaluation Center (AQ-SPEC)

� Fence-line / Optical Remote Sensing Air Monitoring Program

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Page 3: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Low-Cost Air Quality Sensors

� Rapidly proliferating

� Tremendous potentialo Low costo Ease of use

� Multiple potential applications

� Spatial/Temporal air quality infoo Fence-line applicationso Regulatory/Academic/Citizen’s science

� How reliable/accurate are they????

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Page 4: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

AQ-SPEC - Background� Main Goals & Objectives

oProvide guidance & clarity for ever-evolving sensor technology & data interpretation

oCatalyze the successful evolution/use of sensor technologyoMinimize confusion

� Sensor Selection Criteriao Potential near-tern useo Real- or near-real timeo Criteria pollutants & air toxicso Turnkey products firsto Price range:

� < ~$2,000 (purchase)� > ~$2,000 (lease/borrow)

AQMesh CairClip Shinyei

Dylos (prototype) DC1100 Pro SmartCitizens

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Page 5: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

AQ-SPEC - Overview

FIELD TESTING(Side-by-side comparison w/ FRMs)

vs

LAB TESTING(Controlled conditions)

RH = 30% T = 25C

Conc = 10 ppb

RESULTS(Categorize sensors based on performance)

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Page 6: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

SCAQMD

Website / Clearinghouse

AQ Officials

Community

Vendors

AQ-SPEC – Overview (continued)

RESULTS

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Page 7: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

AQ-SPEC - Field Testing� Started on 09/12/2014

o Sensor tested in triplicatesoTwo month deploymento Locations:

� Rubidoux station• Inland site• Fully instrumented

� I-710 station• Near-roadway site• Fully instrumented

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Page 8: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

AQ-SPEC - Lab Testing

� Test for:o Linearity of response (range)o Accuracy and precisiono Lower detectable limito Concentration resolutiono Response timeo Co-pollutant interference o RH and T influenceo Other

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Page 9: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

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Manufacturer

(Model)Type Pollutant(s) Cost

Time

Resolution

Sensor vs

FEM/FRM

Method*

AirBeam Optical PM2.5 ~$200 1 min R2~0.75

Dylos (DC1100)

Optical PM(0.5-2.5) ~$300 1 min R2~0.85

Alphasense

OPC-N2Optical

PM1

PM2.5

PM10

~$400 15 sec

R2~0.85

R2~0.90

R2~0.80

Shinyei(PM Evaluation Kit)

Optical PM2.5 ~$1,000 1 min R2~0.80-0.90

MetOne

Neighborhood

Sensor

Optical PM2.5 ~$1,900 15 sec R2~0.70

RTI(MicroPEM)

Optical PM2.5 ~$2,000 10 sec R2~0.80

*Comparisons refer to 1-hr average data; results are still preliminary; laboratory evaluations needed to confirm field results

AQ-SPEC - Preliminary Field Testing Results

Page 10: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

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Manufacturer

(Model)Type Pollutant(s) Cost

Time

Resolution

Sensor vs

FEM/FRM

Method*

Smart Citizen Kit Metal oxide CO, NO2 ~$200 1 min

R2(CO)~0.85

R2(NO2):

unreliable

Aeroqual

(S-500)Metal oxide O3 ~$500 1 min R2~0.95

Landtec

(AQMesh AQM-5)Electrochem.

CO, NO,

NO2, SO2,

and O3

~$10,000 1-15 min

R2(CO)~0.85

R2(NO)~0.85

R2(NO2)<0.50

R2(O3)<0.50

R2(SO2):

unreliable

*Comparisons refer to 1-hr average data; results are still preliminary; laboratory evaluations needed to confirm field results

AQ-SPEC - Preliminary Field Testing Results

(continued)

Page 11: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

LP-DOAS and FTIR for fence-line monitoring. Contractor failed to

fulfill obligations

Two successful technology demonstration projects for refineries

ORS measurements campaign planned for the Fall 2015

Continue experimenting and implementing ORS technologies

2006-2008

2011-2014

2015

Next?

� Main Goals & Objectiveso Demonstrate feasibility and

effectiveness of fence-line monitoring with ORS

o Measure actual facility-wide emissions

o Improve existing emission inventory estimates

o Improve LDAR program and reduce emissions

o Provide real-time alerts to downwind communities

SCAQMD Optical Remote

Sensing (ORS) Program

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Page 12: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

• Three Projects – 2015

• Four Vendors

• FluxSense� SOF+FTIR+DOAS

• National Physical Laboratory� DIAL

• Atmosfir Optics, Ltd.� Open-path FTIR

• Kassay Field Services, Inc.

� Open-path FTIR

ORS Technology Evaluation Efforts

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Page 13: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Project 1 - Quantify fugitive emissions from large refineries

• Main measurements: FluxSense� SOF+FTIR+DOAS / mobile measurements

(daytime only)

� 5 week study at 5 refineries (6 sites)

� Facility-wide emissions of methane, non-

methane VOCs, NOx, SO2

� Accurate meteorological (LIDAR) data to

reduce uncertainty

• Validation measurements: NPL� DIAL / stationary measurements

� (daytime and nighttime)

� 1 week study at 1 refinery

� Facility-wide emissions of methane, non-

methane VOCs, NOx, SO2

� Not suited for long-term measurements but

ideal for field validation

• Validation measurements: Atmosfir� Open-path FTIR / stationary

measurements (daytime and nighttime)

� 5 week study at 1 refinery

� Prolonged measurements of methane,

non-methane VOCs, NOx, SO2

� Higher detection limits but thoroughly

validated method (EPA OTM-10)

Ongoing Projects - 2015

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Page 14: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Project 2 - Quantify gaseous emissions from small point sources

• Main measurements: FluxSense� SOF+FTIR+DOAS / mobile measurements

(daytime only)

� 5 week study at 50 to 100 oil wells, 20 to 40

gas stations, and other point sources

� Methane and non-methane VOCs

� Accurate meteorological (LIDAR) data to

reduce uncertainty

• Validation measurements: NPL� DIAL / stationary measurements

(daytime and nighttime)

� 1 week study at 7 point sources

� Methane and non-methane VOCs

� Ideal for field validation

• Validation measurements: Kassay� Open-path FTIR / stationary

measurements (daytime and nighttime)

� 5 week study at 50 point sources

� Methane and non-methane VOCs

� Higher detection limits but proven method

(EPA TO-16)

Ongoing Projects – 2015 (continued)

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Page 15: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Project 3 - Quantify stack emissions from marine vessels

• Main Measurements: FluxSense� Optical + ”traditional” methods / on-shore

and off-shore (ship) measurements

� 4 week study @ POLA or POLB

� “Real world” emissions (g/s) of SO2 and

NO2 and “actual” emission factors (g/Kg fuel

burnt) of SO2, NOx and particulates from

individual ships

Ongoing Projects – 2015 (continued)

Schedule for Projects 1-3�Completion of measurement campaign: end of October 2015

�Final Reports: 1st Quarter 2016

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Page 16: Remote Sensing/Fence Line Sensors, Laki Tisopulos, SCAQMD

Upcoming Projects - 2016

� Low-Cost Sensors

o Use ORS methods (e.g. SOF, max-DOAS,

other) to monitor HAP emissions from

refineries and other industrial sources (e.g.

port)

o Use ORS techniques and “low-cost” sensors

to assess impact on surrounding communities

o 3 year study in the Carson-Wilmington area

o EJ communities participation

� Characterization of industrial emissions and their impact on nearby communities

o Continue w/ testing

o Identify good performing sensors

o Pilot sensor network deployment options

� Geographic/Area wide network applications

� Fence-line applications

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