Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Research Tools and Instruments

University of Waterloo

$108,841.00

Investigation of Multiple Tornado-Like Vortices for an Energy-Efficient Ventilation System with a Smart Controller

EF 2024-25

Résumé
In nature, a tornado is described as a rapidly rotating column of air associated with a localized thunderstorm. However, measuring and predicting tornadoes on a real scale can be challenging, and it commonly relies on using mobile Doppler radars combined with physical observation techniques. In contrast, hurricanes are larger and more predictable tropical storms that form over warm ocean waters. The interesting "Fujiwhara Effect" is a meteorological phenomenon that occurs when two nearby hurricanes interact with each other-the upshot of this interaction involves the two hurricanes rotating (or dancing) around a common center, merging with or repelling one another depending on their size, intensity, and relative distance. Although it is difficult to study the interaction of multiple tornadoes or hurricanes in real-life situations, it is possible to generate a controllable tornado-like vortex (TLV) on a laboratory scale to investigate tornado-building interactions-this is of great interest for mechanical and civil engineering applications. However, most studies concerning TLV dynamics have focused only on a single vortex. Research on the interaction of multiple vortices and the associated vortex instability (merging/breakup) and flow control is rare. Consequently, the research to be conducted in the current proposal is seminal. This proposal aims to fabricate a novel small-scale experimental apparatus consisting of modular units capable of generating up to four tornadoes with different strengths, orientations, and distances between them. Furthermore, complementary Computational Fluid Dynamics (CFD) simulations will be conducted to provide the concentration fields of a water vapor tracer to better quantify the efficiency of the ventilation system. Finally, an intelligent control algorithm based on the Adaptive-Network-based Fuzzy Inference System methodology will be developed on Graphics Processing Units (GPUs) with training datasets obtained from our CFD calculations using large-eddy simulation and supplemented with experimental flow visualization. Four high-speed cameras will post-process the images captured by an open-source image processing software to generate velocity fields and streaklines to validate our CFD solutions. The Field Programmable Gate Array-based CompactRIO controllers and actuators [hood blowers, direct current (DC) fans, and stepper motors] will be integrated into the apparatus to maximize the energy efficiency of a ventilation system or remove contaminant aerosols/vapors in an indoor environment under different operating conditions. The long-term goal of this research is to develop a smart ENERGY STAR ventilation system based on multiple controllable TLVs to meet the requirements for high-efficiency products in Canada. (ENERGY STAR is a symbol used to identify the best energy performers on the market as promoted by Natural Resources Canada.)
Programme
Research Tools and Instruments
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RTI-2025-00009
Name nom
Lien, Fue-Sang
Department département
Mechanical and Mechatronics Engineering
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2025
Award amount
108841
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1612
Committee name en
Mechanical Engineering (RTI)
Committee name fr
Génie mecanique (OIR)
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2200
Research subject group en
Fluid mechanics
Research subject group fr
Mécanique des fluides
Research subject en
Fluid mechanics
Research subject fr
Mécanique des fluides
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Investigation of Multiple Tornado-Like Vortices for an Energy-Efficient Ventilation System with a Smart Controller
Keywords
tornado-like vortex; modeling and measurement; ventilation system; energy efficiency; intelligent control; image processing
Application summary
In nature, a tornado is described as a rapidly rotating column of air associated with a localized thunderstorm. However, measuring and predicting tornadoes on a real scale can be challenging, and it commonly relies on using mobile Doppler radars combined with physical observation techniques. In contrast, hurricanes are larger and more predictable tropical storms that form over warm ocean waters. The interesting "Fujiwhara Effect" is a meteorological phenomenon that occurs when two nearby hurricanes interact with each other-the upshot of this interaction involves the two hurricanes rotating (or dancing) around a common center, merging with or repelling one another depending on their size, intensity, and relative distance. Although it is difficult to study the interaction of multiple tornadoes or hurricanes in real-life situations, it is possible to generate a controllable tornado-like vortex (TLV) on a laboratory scale to investigate tornado-building interactions-this is of great interest for mechanical and civil engineering applications. However, most studies concerning TLV dynamics have focused only on a single vortex. Research on the interaction of multiple vortices and the associated vortex instability (merging/breakup) and flow control is rare. Consequently, the research to be conducted in the current proposal is seminal. This proposal aims to fabricate a novel small-scale experimental apparatus consisting of modular units capable of generating up to four tornadoes with different strengths, orientations, and distances between them. Furthermore, complementary Computational Fluid Dynamics (CFD) simulations will be conducted to provide the concentration fields of a water vapor tracer to better quantify the efficiency of the ventilation system. Finally, an intelligent control algorithm based on the Adaptive-Network-based Fuzzy Inference System methodology will be developed on Graphics Processing Units (GPUs) with training datasets obtained from our CFD calculations using large-eddy simulation and supplemented with experimental flow visualization. Four high-speed cameras will post-process the images captured by an open-source image processing software to generate velocity fields and streaklines to validate our CFD solutions. The Field Programmable Gate Array-based CompactRIO controllers and actuators [hood blowers, direct current (DC) fans, and stepper motors] will be integrated into the apparatus to maximize the energy efficiency of a ventilation system or remove contaminant aerosols/vapors in an indoor environment under different operating conditions. The long-term goal of this research is to develop a smart ENERGY STAR ventilation system based on multiple controllable TLVs to meet the requirements for high-efficiency products in Canada. (ENERGY STAR is a symbol used to identify the best energy performers on the market as promoted by Natural Resources Canada.)