Goals of today s meeting
This presentation is the property of its rightful owner.
Sponsored Links
1 / 20

Goals of today’s meeting PowerPoint PPT Presentation


  • 80 Views
  • Uploaded on
  • Presentation posted in: General

Goals of today’s meeting. Present and discuss research results and plans Discuss how to better work together Discuss results and ideas for education and outreach Discuss budget Prepare for CPS PI meeting (August 10-12, DC). Schedule. 9-9.45: Claire Tomlin , ActionWebs Overview

Download Presentation

Goals of today’s meeting

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Presentation Transcript


Goals of today s meeting

Goals of today’s meeting

  • Present and discuss research results and plans

  • Discuss how to better work together

  • Discuss results and ideas for education and outreach

  • Discuss budget

  • Prepare for CPS PI meeting (August 10-12, DC)


Schedule

Schedule

9-9.45: Claire Tomlin, ActionWebs Overview

10-10.45:Shankar Sastry, Closing the loop around sensor networks

11-11.45:HamsaBalakrishnan: CPS and Air Transportation

12-12.30: Lunch

12.30-1.15: Edward Lee: Hybrid and embedded systems

1.30-2.15:David Culler: CPS and buildings

2.30-2.50:Kristen Gates: CPS Education

3.00-4.20:Students and Postdocs(EleftheriosMatsikoudis, Wei Zhang, Anil Aswani)

4.20-5:Discussion and next steps


Energy efficient air transportation systems

Energy efficient air transportation systems

  • In 2007, domestic air traffic delays cost the US economy $41 billion

    • 24% of arrivals at least 15 min late (avg. delay: 46 min)

    • ~20% of total domestic flight time was delay

    • 1,565 flights delayed on the ground (not at gate) for over 3 hours


Energy efficient high productivity buildings

Energy efficient, high productivity buildings

  • 40% total energy consumption, 72% electricity usage

  • Isolated subsystems, not much modeling

  • Better operations needed


Actionwebs

ActionWebs

Observe and infer with a viewpoint to planning and modifying action:

  • Dealing with uncertainty

  • Tasking sensors

  • Programming the ensemble

  • Multiple objectives

  • Embedding humans


Research projects

Research projects

  • Optimization of Traffic Flow in the National Airspace System (Wei Zhang, MaryamKamgarpour)

  • System Identification combining physics-based models and data (Anil Aswani, Jeremy Gillula)

  • Localization in buildings (Michael Vitus, Wei Zhang)

  • Game-theoretic routing of GPS-Assisted Vehicles for Energy Efficiency (Anil Aswani)

  • Estimation and control of discrete time stochastic hybrid systems (Jerry Ding, Alessandro Abate)

  • Designing automation that works well with humans (Haomiao Huang)


Goals of today s meeting1

Goals of today’s meeting

  • Present and discuss research results and plans

  • Discuss how to better work together

    • ActionWebs Seminar: Tuesdays 4-5pm?

  • Discuss results and ideas for education and outreach

    • CPS Education Workshop (August 12, DC) http://cyberphysicalsystems.org/cpsew

    • Intro textbook for undergrad class

      http://LeeSeshia.org

    • Robotics, undergrads, and high school students

  • Discuss budget

  • Prepare for CPS PI meeting (August 10-12, DC)


Environmental impacts of air transportation

Environmental impacts of air transportation

  • Aviation is responsible for 3% of total global carbon emissions

    • Aircraft contribute about 12% of CO2 emissions from the transportation sector

    • According to the European Union, international aviation is one the largest growing contributors to CO2 emissions, having increased 87% between 1990 and 2004

  • The aviation sector was responsible for 187.5 million metric tons of CO2 emissions in the US in 2007 (about 3% of total emissions)

[Balakrishnan]

[Commission of the European Communities, 2006; EPA 2007]


Surface emissions from taxiing aircraft

Surface emissions from taxiing aircraft

  • In 2007, aircraft in the US spent over 63 million minutes taxiing in to their gates, and over 150 million minutes taxiing out to their runways

    • An estimated 6 million tons of CO2, 45,000 tons of CO, 8,000 tons of NOx and 4,000 tons of hydrocarbons are emitted annually by aircraft taxiing out for departure

  • These flights burn fuel and contribute to emissions at low altitudes, and adversely impact local air quality

  • Taxi-out emissions correspond to about 5% of the fuel burn and emissions from aircraft operations

  • How do we optimize surface traffic movement to reduce aircraft emissions from taxi processes?

[FAA ASPM database; Balakrishnan et al. 2008]


Aircraft taxi trajectories from surface surveillance data

Aircraft taxi trajectories from surface surveillance data


Effect of stopping and starting while taxiing

Effect of stopping and starting while taxiing

  • Potential fuel burn impact from stopping on the surface

No significant impact


Estimate impact of different taxi profiles

Estimate impact of different taxi profiles

  • ICAO emissions databank assumes that aircraft taxi at a constant throttle setting of 7%

  • Using CFDR data (from Swiss Air) corresponding to taxi profiles of various aircraft, we

    • Developed a regression model for fuel burn, that considers the baseline fuel burn and the impact of stop-start events

      • Stop-start impact: Estimate of the form

        “The extra fuel burn from a start-stop event is equivalent to x additional minutes of taxi time”

    • Developed a (linear) regression model between fuel burn and throttle settings

    • Conducted above analysis for 9 aircraft types

Fuel burn = Baseline fuel burn rate*(taxi time) + (Stop-start impact)*(# of stop-start events)


Minimizing fuel burn impacts of aircraft trajectories

Minimizing fuel burn impacts of aircraft trajectories

Surface surveillance

Surface surveillance

Flight data recorder

Flight data recorder

(archival data)

Identification of hybrid system model of taxi trajectory

Identification of fuel burn model

Multi-objective control of taxi trajectories

(real-time data)


Analyzing benefits of continuous descent approach cda

Analyzing Benefits of Continuous Descent Approach (CDA)

Objective: Study fuel benefits of implementing CDA in the current airspace structure

Analysis Approach

Take current aircraft arrival trajectories

Move the constant altitude (Level) section to a high altitude

[Kamgarpour]


Results on airport savings

Results on Airport Savings

Scope of the Study

5 days of data for ATL, SFO, LAX airports

4 days of data for DFW, 1 day of data for JFK


Energy efficient buildings

Energy efficient Buildings

[Culler]


Structural soda electrical

MCM2

~42 circuits each

LP2D

225

LP2C

225

HP7A

400

LP2B

225

HP7A

400

LP2D

225

LP2C

225

HP6A

100

LP2B

225

LP2J

225

HP6A

100

LP2I

225

LP2H

225

LP2G

225

LP2E

225

LP2F

225

LP2K

225

LP2C

225

HP5A

400

LP5B

225

LP2J

225

HP5A

400

LP2I

225

LP2H

225

LP2G

225

LP2E

225

LP2F

225

LP2D

225

LP2C

225

LP2K

225

HP4A

400

LP4B

225

LP2J

225

HP4A

400

LP2I

225

LP2H

225

LP2G

225

LP2E

225

LP2F

225

LP2D

225

2500 A 120/208 3 phase

LP2C

225

1200 A 277/480 3 phase

HP3A

400

LP3B

225

HP3A

400

LP2E

225

LP2D

225

LP2G

225

LP2C

225

LP2F

225

LP2A

800

LP2B

225

HP2A

600

LP1A

400

LP1B

400

HP1A

400

HP1A

400

MCM1

2x Chiller

2x Substation

12 KV dist.

Structural: Soda Electrical

Lighting

Pumps

Fans

Machine rooms

Classrooms

Offices


Testbeds

Testbeds

  • Future air transportation systems testbed

    • Connections with NASA Ames (SDO, separation assurance), NASA Langley (safety)

    • Simulators (FACET, ACES), actual flight data (CFDR)

  • Mobile sensor net testbed

  • Buildings

    • Berkeley campus: Soda, Cory, Sutardja Dai, California Halls

    • LBL (DOE2)


Education and outreach

Education and Outreach

  • Cyber-physical systems science (CPSS)

  • Curriculum development at Berkeley/MIT

  • Outreach

    • Robotics at the RFS

    • Curriculum development at SJSU

    • SUPERB-CSS

    • Research Experience for Teachers (RET)

[Gates]


  • Login