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Oscar Simulation Design

Oscar Simulation Design. Robert Brewer (rbrewer@lava.net) Philip Johnson (johnson@hawaii.edu) Collaborative Software Development Laboratory http://csdl.ics.hawaii.edu/ & Renewable Energy and Island Sustainability http://reis.manoa.hawaii.edu/ University of Hawaii. Motivation.

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Oscar Simulation Design

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  1. Oscar Simulation Design Robert Brewer (rbrewer@lava.net) Philip Johnson (johnson@hawaii.edu) Collaborative Software Development Laboratory http://csdl.ics.hawaii.edu/ & Renewable Energy and Island Sustainability http://reis.manoa.hawaii.edu/ University of Hawaii

  2. Motivation • Smart Consumer Research • Simulate Oahu’s power grid. • Model both cost and carbon intensity of electricity throughout the day. • See the screencast “From Smart Grid to Smart Consumers” for more details.

  3. Simulation Components • Daily Demand Curve • What is the load on the grid throughout the day. (15 minute intervals) • Power plants • Capacity (MW) • Type (Baseload, Cycling, Peaking) • Carbon Intensity (lb CO2 / MWh) • Cost ($/MWh) • Strategy • How to allocate plants to satisfy demand. • Minimize cost vs. minimize carbon

  4. To build the simulation... • We need to know: • What are the power plants on Oahu? • What is a typical demand curve? • What are the carbon intensities and costs?

  5. Background Info (HECO)

  6. Demand Curve (HECO)

  7. Mins and Maxes (HECO)

  8. Carbon Intensity (carma.org)

  9. Put it all together...

  10. Simulation results

  11. A quick look at the system

  12. Current status • Simulation strategies designed to generate wide varieties of carbon intensities • Good for “smart consumer” experimentation • Not necessarily realistic at present. • Simulation easy to extend to incorporate new types of power (solar, wind, etc.) • Feel free to download a dataset (or the code) and take a closer look: • http://code.google.com/p/oscar-project/

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