Wind power is expected to be one of the primary sources of electricity in the future world along with solar power. We aim to increase the use of advance mathematical methods in wind and solar energy applications and train future innovators for the renewable energy industry and thereby conribute towards a wider and sustainable integration of renewable resources into the world's energy systems.
Our Research Program
Both wind and solar power are variable and intermittent as they are weather driven. We develop quantitative tools to support a wide range of decision making problems related to the design and operation of the wind and solar power systems and their integration to the power grid and electricity markets.
We currently develop methodologies designed for meso, submeso and farm scale problems related to wind power. In the long term, we aim to extend these methodologies to solar power as well.
- Meso scale models focus on probabilistic modeling of wind power produced at wind farms distributed across a large geographical region such as a province to make inferences about the aggregate wind power and applications to power system planning and management.
- Submeso scale modeling captures finer features of the wind flow that can affect wind production in nearby farms.
- Farm scale problems are related to predicting the wind power produced at a wind farm given the predictions of the incoming flow and farm specific characteristics.
We also develop models to quantify the effects of spatio temporal dynamics of wind and solar power on the electricity price and analyze the long term earnings of an individual wind farm and find answers to key questions such as optimal sitting of a wind farm.