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Methane Monitoring from Small Unmanned Aerial Systems Lance E. Christensen, Vlad Manzatianu, Georgios Matheou Jet Propulsion Laboratory, The California Institute of Technology, Pasadena, CA YangQuan Chen, Brendan Smith, Garrett John Univ. of California – Merced, Merced, CA California Methane Symposium Jun. 6-7, 2016 Point of contacts: Lance Christensen (JPL) [email protected] Carrie Greaney (PRCI) [email protected]

Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

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Page 1: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Methane Monitoring from Small Unmanned Aerial Systems

Lance E. Christensen, Vlad Manzatianu, Georgios Matheou Jet Propulsion Laboratory, The California Institute of Technology, Pasadena, CA

YangQuan Chen, Brendan Smith, Garrett John

Univ. of California – Merced, Merced, CA

California Methane Symposium Jun. 6-7, 2016

Point of contacts: Lance Christensen (JPL) [email protected] Carrie Greaney (PRCI) [email protected]

Page 2: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Background

JPL-TLS

Mars

Required NASA investment in:

• Tunable laser spectrometers

• Semiconductor lasers

To get:

Page 3: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Before OPLS sniffer

Wind sensor + IMU

GPS

After

Data visualization

First, need a robust, miniature methane sensing instrument.

Open-Path Laser Spectrometer (OPLS)

Background

Page 4: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

RMOTC Storage Facility

Movie_A:WellsChristensen_movies\sim_wells.mp4

100 wells, 10 m/s well-to-well, 30-s surveillance at each well →

40 wells per flight.

< 2.5 kg VTOL

Fixed-wings & Hybrid fixed-wing/VTOL

Vision: Pipeline & facilities

Types of operations: • Surveillance • Localization • Quantification

Page 5: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Vision: Neighborhood sUAS leak survey

Prescriptive operation ≈ Autonomous operation

Page 6: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Detector

Methane

water

Raw data 1.2 Hz

Res

pons

e tim

e Li

near

ity

Stab

ility

Performance

Inte

r-co

mpa

rison

s

1 m/s

Page 7: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

<2

16.5

4.5 m

10

1.9 SCFH

Data: Foot surveys Learn behavior and signature of plumes in suburban setting

57 m

3.3 SCFH

Page 8: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

sUAS: Logistics

3DR Iris at Merced grassland Lockheed Indago at dry Lakebed

and Caltech

Page 9: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

sUAS: Prop-wash

Region of Sensor Sensitivity

Flight test with smoke sensor

Page 10: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

sUAS: Flight Data

Movie_B: OrbitalChristensen_movies\orbit_20151105_backtraj.mp4

Page 11: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

sUAS: Horizontal

Merced Vernal Pools

Page 12: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

50 m away Λ = 7.7 m

280 m Λ = 11.5 m

Define characteristic length, λ, as a measure of data ‘sharpness’

sUAS: Horizontal

Page 13: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

sUAS: Vertical

Distribution Between 250-280 m

Page 14: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Sunset

Vertical mixing during day

Hong and Pan, Monthly Weather Rev., 1996

Noo

n

Sun

set

σv = 30 m

x = 300 m

No surface Roughness

Gaussian concentration profile

sUAS: Vertical

Page 15: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

sUAS: Gaussian plume model insufficient

Georgios Matheou (JPL) 5 m/s, mid-lat, noon, 6 SCFH. Passive scalar. Thermals are < 10% of area

Convection

2-m LES Modeling - Convection - Surface topology

50 m

Page 16: Methane Monitoring from Small Unmanned Aerial Systems · RMOTC Storage Facility Movie_A:Wells. Christensen_movies\ sim_wells.mp4 100 wells, 10 m/s well-to-well, 30-s surveillance

Conclusions

● Flown OPLS on two different VTOLS < 2.5 kg · Demonstrated 20 ppb s-1 noise · 250 g OPLS · Expect plug-n-play system by end of 2016 ● Building knowledge on how to deploy sUAS-OPLS · Right now, VTOLS; 2nd half of 2016, Fixed-wings/hybrids · Folding in understanding from LES modeling - convection - topology · Performing surveillance, localization, quantification