A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Adaptive HVAC zone modeling for sustainable buildings
AbstractControl of energy flows within a building is critical to achieving optimal performance of heating, ventilation and air-conditioning (HVAC) systems. To design optimal HVAC control strategies, a dynamic model of the HVAC system – particularly the building zones that it services – is essential. As analysis of building energy consumption is facilitated by the accurate prediction of indoor environmental conditions, techniques that dynamically model HVAC zones are crucial, and as such, is an active area of research. This paper focuses on real-time HVAC zone model fitting and prediction techniques based on physical principles, as well as the use of genetic algorithms for optimization. The proposed approach is validated by comparing real-time HVAC zone model fitting and prediction against the corresponding experimental measurements. In addition, comparison with prediction results using an algorithm based on feedback-delayed Kalman filters has demonstrated the superiority of the proposed approach in terms of prediction accuracy.
Adaptive HVAC zone modeling for sustainable buildings
AbstractControl of energy flows within a building is critical to achieving optimal performance of heating, ventilation and air-conditioning (HVAC) systems. To design optimal HVAC control strategies, a dynamic model of the HVAC system – particularly the building zones that it services – is essential. As analysis of building energy consumption is facilitated by the accurate prediction of indoor environmental conditions, techniques that dynamically model HVAC zones are crucial, and as such, is an active area of research. This paper focuses on real-time HVAC zone model fitting and prediction techniques based on physical principles, as well as the use of genetic algorithms for optimization. The proposed approach is validated by comparing real-time HVAC zone model fitting and prediction against the corresponding experimental measurements. In addition, comparison with prediction results using an algorithm based on feedback-delayed Kalman filters has demonstrated the superiority of the proposed approach in terms of prediction accuracy.
Adaptive HVAC zone modeling for sustainable buildings
Platt, Glenn (author) / Li, Jiaming (author) / Li, Ronxin (author) / Poulton, Geoff (author) / James, Geoff (author) / Wall, Josh (author)
Energy and Buildings ; 42 ; 412-421
2009-10-04
10 pages
Article (Journal)
Electronic Resource
English
AHU , air-handling unit , BMCS , building management & control system , OA , outside air , RA , return air , SA , supply air , CHWV , chilled water valve , HWV , hot water valve , SP , set-point , OAF , outside air fan , SAF , supply air fan , RAF , return air fan , Genetic algorithms , HVAC control , HVAC zone modeling , Kalman filtering
Adaptive HVAC zone modeling for sustainable buildings
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