Realistic Canadian wind power assessment and electricity cost

where the best sites, and combinations of sites are, is critical to facilitate private investment in wind

electricity. The proposed research with Brookfield Renewable Energy Partners L.P. will determine the

most desirable locations for large-scale wind farm deployment, as well as the cost of electricity

supplied by such farms to a selection of Canadian demand centres.

To accomplish this goal, simulated wind data from the US National Centres for Environmental

Prediction will be gathered from the past five years, at regular three-hour intervals, and used to predict

the amount of wind-generated electricity at each location in areas of predetermined high wind. This

output will be heavily dependent on realistic constraints, such as topography, seasonal effects and

manufacturer specifications. The cost of electricity will be calculated using input from Brookfield’s

experience with energy and transmission infrastructure, to ensure accuracy. The work provides a

backbone around which Brookfield can structure their portfolio of renewable generation assets.

Faculty Supervisor:

LD Danny Harvey

Student:

Partner:

Brookfield Renewable Energy Partners L.P.

Discipline:

Earth science

Sector:

Utilities

University:

University of Toronto

Program:

Accelerate

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