A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Automated Hybrid Ventilation Control in Complex Buildings
Complex buildings such as hospitals and laboratories require intensive ventilation in order to meet operational demands. This research focuses on reducing cooling and ventilation loads in these types of buildings by incorporating hybrid ventilation in public spaces that do not require intensive air conditioning. Our research departs from previous works by justifying an optimal control strategy through experimentation rather than simulation. Ideally, designers would incorporate modeling to optimize building design and control, but these models are often not economical if created post-construction, and rarely result in accurate implementation of hybrid ventilation strategies. The method establishes a number of generic hybrid ventilation strategies to be tested in the public space of a complex building. The paper describes a multiple regression analysis of data to determine which controls and set-points are best for maintaining comfort while optimizing energy use. These controls and set-points are inputs for a building automation program developed to automatically determine whether a space should be naturally or mechanically cooled and actuate the analogous commands. It also calculates the expected energy savings associated with each strategy. This automated hybrid ventilation control is illustrated through a case study example, which has shown public space ventilation energy reduction of up to 56 percent.
Automated Hybrid Ventilation Control in Complex Buildings
Complex buildings such as hospitals and laboratories require intensive ventilation in order to meet operational demands. This research focuses on reducing cooling and ventilation loads in these types of buildings by incorporating hybrid ventilation in public spaces that do not require intensive air conditioning. Our research departs from previous works by justifying an optimal control strategy through experimentation rather than simulation. Ideally, designers would incorporate modeling to optimize building design and control, but these models are often not economical if created post-construction, and rarely result in accurate implementation of hybrid ventilation strategies. The method establishes a number of generic hybrid ventilation strategies to be tested in the public space of a complex building. The paper describes a multiple regression analysis of data to determine which controls and set-points are best for maintaining comfort while optimizing energy use. These controls and set-points are inputs for a building automation program developed to automatically determine whether a space should be naturally or mechanically cooled and actuate the analogous commands. It also calculates the expected energy savings associated with each strategy. This automated hybrid ventilation control is illustrated through a case study example, which has shown public space ventilation energy reduction of up to 56 percent.
Automated Hybrid Ventilation Control in Complex Buildings
Taylor, N. (author) / Menassa, C. C. (author) / Nelson, J. S. (author)
International Conference on Computing in Civil Engineering ; 2012 ; Clearwater Beach, Florida, United States
Computing in Civil Engineering (2012) ; 594-601
2012-06-11
Conference paper
Electronic Resource
English
Automated Hybrid Ventilation Control in Complex Buildings
| British Library Conference Proceedings | 2012
| British Library Online Contents | 2013
Hybrid ventilation concepts in commercial buildings
| British Library Conference Proceedings | 2000
| Engineering Index Backfile | 1885