Arctic Domain Awareness Center (ADAC) A DHS Center of Excellence
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1 Arctic Domain Awareness Center (ADAC) A DHS Center of Excellence James Bellingham: PI Amy Kukulya: Project Manager Christopher Reddy: Project Scientist
2 Project Title : Development of Propeller Driven Long Range Autonomous Underwater Vehicle (LRAUV) for Under-Ice Mapping of Oil Spills and Environmental Hazards FOA/NOFO Research Question(s): Project Objectives: Build a prototype AUV with long-range based capability to characterize oil & environmental hazards under ice Key Accomplishments: COE Logo (optional) Sensor package identified and integrated into a REMUS AUV for open water testing and Nov 2016 Demo Develop software simulation for operators to plan mission scenarios with available environmental data models Identify and implement an oil detection sensor package Potential Impact: Provide last seat on the helicopter LRAUV with off-the-shelf capability for baseline surveys and oil detection Software simulation for mission planning and operator training Funding: Expended to Date by End of Year 2 $182, Give first responders data quickly in order to limit damages and protect responders Key Milestones/Deliverable Schedule: Project Start Jan 2015 Sensor identified...june 2015 Software Simulation..June 2016 Sensors integrated on REMUS for Demo.Oct 2016 Complete prototype LRAUV.June 2018 Arctic water tests late 2018/early 2019 Performance Metrics: Simulator fidelity: built and tested, enhancements ongoing Oil limit of detection< 80 ppb crude oil and oil sensitivity 3 ppb crude oil (verified by WET Labs SeaOWL) Program Champions: LT Rebecca Brooks, CG-MER, USCG Mr. Jerry Popiel, CG-MER, USCG Stakeholders: CG-MER, USCG District 7,9 NOAA, BSEE, US Department of the Interior Points of Contact: Ms. Amy Kukulya, WHOI, PI Dr. Jim Bellingham, WHOI, PI *See PowerPoint Notes for Project Abstract 2
3 Overview Long Term Objective: Develop AUV based approach for long-range sampling and detection of a wide range of petroleum hydrocarbons to inform first responders Monitor and then report Help in the response phase of a spill in order to reduce damages Damage assessment Drive contingency planning with a versatile, easy to use survey tool that can be tasked to do other things but commandeered during an emergency Worst case scenario Crude oil blowout Most likely scenario Diesel or some other fuel oil from grounding 3
4 Doppler Velocity Logger (DVL) and Inertial Navigation System (INS) Fluid Intake Sonar Electronics Pressure Vessel Sub-bottom profiler Batteries Water Sensors Sonar Receive Array Fairings Thruster and Duct
5 Woods Hole 5
6 A Spectrum of Vehicles 3000 km 1000 km 300 km Early 00s 48 kg Can run for months, but can only carry a few sensors, and goes quite slowly (0.3 m/s). Late 90s >500 kg Carry many sensors at 1.5 m/s, but only lasts a on order a day. 100 km 1 W 10 W 100 W 1000 W LOW MED HI
7 A Spectrum of Vehicles 3000 km 1000 km 300 km The sweet spot! 2010s 120 kg Multiple operation modes >1800 km at 1 m/s Early 00s >4000 km at 0.5 m/s 48 kg Can run for months, but can only carry a few sensors, and goes quite slowly (0.3 m/s). Late 90s >500 kg Carry many sensors at 1.5 m/s, but only lasts a on order a day. 100 km 1 W 10 W 100 W 1000 W LOW MED HI
8 Tethys Long-Range AUV 2.3 m long, 0.3 m (12 ) diameter, 110 kg dry weight. Propeller-driven: 0.5~1 m/s speed. Buoyancy engine enables neutral buoyancy and drift mode. Low-drag and low-power design: 2000 km at 1 m/s, 4000 km at 0.5 m/s. Example sensors: CTD, DO2, nitrate, fluorescence/backscatter, ADCP, turbulence sensor, water sampler (in development), and Environmental Sample Processor (in development)
9 Woods Hole Oceanographic Institution Long-range Autonomous Underwater Vehicle Long -Range AUV provides flexible, high-endurance platform Can be deployed from land or sea and controlled remotely Can carry a diverse suite of interchangeable payloads Can transmit data packets over tens of km s or via Iridium to anywhere in world Can operate over a week per deployment, e.g. covering a 1000 sq Km distance (e.g. a 32 x 32 km box with 2 km grid)
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11 VS Lots of Small vs a Few Big
12 Lots of Small vs a Few Big VS 3 ρ A cd v Power 2η H
13 Normalized Cumulative Weight More vehicles = faster + less weight + redundancy E E 2 Normalized Survey Rate
14 Asset coordination, planning and data analysis
15 Overview NASA satellite data reveals how this year's minimum sea ice extent, reached on Sept. 9 as depicted here, declined to a level far smaller than the 30-year average (in yellow) and opened up Northwest Passage shipping lanes (in red). (Credit: NASA Goddard's Scientific Visualization Studio) 2011
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17 Woods Hole Oceanographic Institution 1 7 Commercial off-the-shelf technology (sensor) Ideal system is easily to use and interpret, transportable, commercially available, proven, reliable, broad selectivity for different compounds in oils and sensitive enough to be valuable for the response. Easy easy to operate, calibrate, not demand frequent calibration, low payload power and small. Should be reliable to be easily compared/married. Allow for distributing collaboration ; capacity to draw upon geographically distributed expertise.
18 Our collaborators Ian Walsh (Sea-Bird) Established company that continues to refine existing technologies and new sensors; Provided a single-point-ofcontact, manuals; Scholarly work; Consistent and comparable results; Nimble and creative; Working with many users Robyn Comny (EPA) Expert and well-published on developing response-side sensors. Vice-chair, ICCOPR
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21 Demo November 3: Highlight the capacity to search for dissolved hydrocarbons using a fluorescein as an analogue for hydrocarbons in the water column. Sea-Owl package on a REMUS AUV Map areas of chemical signal exist and don t exist. Deployed from the R/V Discovery (with two-people) Success: to provide georeferenced, time-stamped data on bulk hydrocarbons to responders.
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23 Woods Hole 2
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26 Regarding academia s contributions during the response of the Deepwater Horizon disaster, Scientists that has pre-existing relationships with the agencies [NOAA and Coast Guard] had the greatest success Jane Lubchenco (former NOAA administrator)
27 Woods Hole 2
28 EXTRA SLIDES Woods Hole 2
29 Adaptive Sampling Woods Hole 2
30 Woods Hole 3
31 Vehicle Track Woods Hole 3
32 Woods Hole 3
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35 Yanwu Zhang, et al. Oceanic Engineering, IEEE Journal of 35.4 (2010): Sampling In the Right Spot
36 Yanwu Zhang, MBA
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38 The Need 3 8 Increasing traffic in Arctic Even in open ocean oil spills is difficult to characterize and map its extent Commerical off-the-shelf technology, easy to use, calibrate system We are developing an AUV-based approach leveraging a small, long-range system- Tethys Long-Range AUV (LRAUV). The LRAUV is helicopter-portable, allowing rapid response to incidents to provide situational awareness for first responders.
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