Enhanced Wind Modeling at the Red Deer Polytechnic Campus

Project description:

Wind flow in built environments is an important consideration in placement of small-scale wind generation systems, as well as HVAC ventilation which, in turn, affects building energy efficiency and local air quality. Red Deer Polytechnic (RDP) is partnering with the University of Alberta and Flexible Machines Corp.(FMC) to validate FMC’s open-source, machine learning tool for automated wind flow mapping of complex urban geometries in the built environment. This tool will be validated using real-time wind data from installed anemometers. The resulting wind flow map will support RDP in siting small-scale wind generation on campus and optimizing HVAC ventilation. The tool will enhance RDP living lab service offerings at the Energy Innovation Centre.

• Develop and validate an efficient & open-source wind flow mapping tool.
• Map wind flow around Red Deer Polytechnic’s campus.
• Validate the tool using data from anemometers around the campus. Integrate the tool into Red Deer Polytechnic’s data sharing alliance.
• Share results and lessons learned through workshops, info session, demonstration in the annual Energy Innovation Fair at RDP and white papers.