Ryan Kilpatrick, M.E.Sc., P.Eng

Research Engineer

Ryan Kilpatrick is a research engineer at CanmetENERGY-Ottawa, Natural Resources Canada. In this role, he is responsible for conducting research on various aspects of wind farm performance, wind power forecasting, renewable energy integration and renewable energy assessment for northern and remote communities.

Natural Resources Canada

Current research and/or projects

The Wind Research Goup at CanmetENERGY-O is currently working in three main areas:

Grid integration of renewables
Renewable energy resource assessment
Northern and remote community renewable energy

Research and/or project statements

Contributions to science within Government of Canada:

Analyzed production losses due to cold climate operation for 89 wind farms across Canada
Conducted a study of wind and solar energy potential for 20 remote communities across Canada
Prepared Canada’s submission to International Energy Agency (IEA) Wind Annual Report
Generated accessible visualized dataset of the Pan-Canadian Wind Integration Study (PCWIS) hosted on Federal Geospatial Platform (FGP)

Professional activities / interests

Professional activities and interests:

Participation in wind energy conferences (i.e. Canadian Wind Energy Association, Québec Wind Energy)

Education and awards

M.E.Sc., Mechanical and Materials Engineering, Western University at London, Ontario, June 2016.
B.Sc.E., Mechanical Engineering, Queen’s University at Kingston, Ontario, May 2006.

Key publications

Kilpatrick R., Hangan, H., Siddiqui, K., Parvu, D., Lange, J., Mann, J., and Berg, J. Effect of Reynolds number and inflow parameters on mean and turbulent flow over complex topography. Wind Energy Science, 1, 237-254, doi:10.5194/wes-1-237-2016, 2016.
http://www.wind-energ-sci.net/1/237/2016/

Lange J., Mann J., Berg J., Parvu D., Kilpatrick R., Costache A., Chowdhury, J., Siddiqui, K., and Hangan, H., 2017. For wind turbines in complex terrain, the devil is in the detail. Environmental Research Letters, Volume 12, Number 9. http://iopscience.iop.org/article/10.1088/1748-9326/aa81db/meta

Whither Turbulence and Big Data in the 21st Century? Editors: Pollard, A., Castillo, L., Danaila, L., Glauser, M. (Eds.)
Chapter 12: Big data from big experiments. The WindEEE dome. Horia Hangan, Maryam Refan, Chowdhury Jubayer, Dan Parvu and Ryan Kilpatrick. https://www.springer.com/gp/book/9783319412153

Kilpatrick, Ryan J. Characterization of mean and turbulent flow over complex topography under various inflow and geometric configurations. Electronic Thesis and Dissertation Repository, Paper 3798, University of Western Ontario, 2016. http://ir.lib.uwo.ca/etd/3798