Climate-Responsive Adaptive Control for Natural Ventilation
Department
Civil, Architectural and Environmental Engineering
Major
Architectural, Civil, Electrical Engineering, Computer Science
Research Advisor
Choi, Joon-Ho
Advisor's Department
Civil, Architectural and Environmental Engineering
Funding Source
Environmental Protection Agency
Abstract
According to the U.S. Green Building Council and the U.S. Energy Information Administration, 21% of all energy used in the U.S. is for building mechanical systems that provide heating, cooling, and ventilation. On the other hand, building occupants are significantly affected by ambient thermal conditions, as their work productivity and health depend on their thermal satisfaction. Therefore, it is important to use passive strategies for natural cooling and heating to enhance the thermal comfort and minimize the use of mechanical systems. The Climate-Responsive Adaptive Control for Natural Ventilation is a predictive control system that is able to forecast an indoor climate based on real-time data of outdoor conditions, and controls window actuators to use cross ventilation for cooling. Using the Missouri S&T Solar Decathlon House as a testbed, indoor and outdoor conditions are measured and evaluated in order to develop an adaptive control model for actuating operable windows.
Biography
Sean is majoring in Computer Engineering. His interests include computer systems, VLSI chip design, and neural networks. He will attend the University of Central Florida in August 2012 to pursue a Master of Science degree in Computer Engineering.
Research Category
Engineering
Presentation Type
Poster Presentation
Document Type
Poster
Award
Engineering poster session, Second place
Location
Upper Atrium/Hallway
Presentation Date
10 Apr 2012, 1:00 pm - 3:00 pm
Climate-Responsive Adaptive Control for Natural Ventilation
Upper Atrium/Hallway
According to the U.S. Green Building Council and the U.S. Energy Information Administration, 21% of all energy used in the U.S. is for building mechanical systems that provide heating, cooling, and ventilation. On the other hand, building occupants are significantly affected by ambient thermal conditions, as their work productivity and health depend on their thermal satisfaction. Therefore, it is important to use passive strategies for natural cooling and heating to enhance the thermal comfort and minimize the use of mechanical systems. The Climate-Responsive Adaptive Control for Natural Ventilation is a predictive control system that is able to forecast an indoor climate based on real-time data of outdoor conditions, and controls window actuators to use cross ventilation for cooling. Using the Missouri S&T Solar Decathlon House as a testbed, indoor and outdoor conditions are measured and evaluated in order to develop an adaptive control model for actuating operable windows.
Comments
Joint project with Gerald Holt, Lucas Laughery and Annelise Smith