Transcript Introduction to ICS 414 - ics-software

Oscar Simulation Design
Robert Brewer ([email protected])
Philip Johnson ([email protected])
Collaborative Software Development Laboratory
http://csdl.ics.hawaii.edu/
&
Renewable Energy and Island Sustainability
http://reis.manoa.hawaii.edu/
University of Hawaii
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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.
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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
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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?
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Background Info (HECO)
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Demand Curve (HECO)
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Mins and Maxes (HECO)
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Carbon Intensity (carma.org)
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Put it all together...
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Simulation results
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A quick look at the system
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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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