A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Analysis of the occupants’ behavior related to natural ventilation
The real energy performance of buildings depends both upon deterministic aspects (building'sphysics and engineering systems) and probabilistic aspects such as weather and occupantbehavior. Occupant behavior is usually not directly considered when calculating the expected energy performance of buildings. In fact, field test studies all over the world have shown discrepancies between expectation and real energy performances of buildings. This gap could be bridged, by embedding stochastic occupants’ behavior models within buildings’ energy performances simulation software. Within this work, an established method to analyze the probability of a state change of the windows, based on logistic regression, was applied to monitored data (measured each minute) from two refurbished residential buildings. The weather as well as the five rooms of each of the 60 apartments located in the buildings were monitored in terms of indoor environmental quality and window operation for four years. The aim of this work is the investigation of the drivers leading occupants to open and close windows.The evaluation of the 300 windows showed: the two most common drivers leading to the opening action were the time of the day and the carbon dioxide concentration in the room. The two most common drivers leading to the closing action were: the daily average outdoor temperature, and the time of the day.
Analysis of the occupants’ behavior related to natural ventilation
The real energy performance of buildings depends both upon deterministic aspects (building'sphysics and engineering systems) and probabilistic aspects such as weather and occupantbehavior. Occupant behavior is usually not directly considered when calculating the expected energy performance of buildings. In fact, field test studies all over the world have shown discrepancies between expectation and real energy performances of buildings. This gap could be bridged, by embedding stochastic occupants’ behavior models within buildings’ energy performances simulation software. Within this work, an established method to analyze the probability of a state change of the windows, based on logistic regression, was applied to monitored data (measured each minute) from two refurbished residential buildings. The weather as well as the five rooms of each of the 60 apartments located in the buildings were monitored in terms of indoor environmental quality and window operation for four years. The aim of this work is the investigation of the drivers leading occupants to open and close windows.The evaluation of the 300 windows showed: the two most common drivers leading to the opening action were the time of the day and the carbon dioxide concentration in the room. The two most common drivers leading to the closing action were: the daily average outdoor temperature, and the time of the day.
Analysis of the occupants’ behavior related to natural ventilation
Calì, Davide (author) / Andersen, Rune Korsholm (author) / Osterhage, Tanja (author) / Wesseling, Mark (author) / Müller, Dirk (author) / Olesen, Bjarne W. (author) / Kvols Heiselberg , Per
2016-01-01
Calì , D , Andersen , R K , Osterhage , T , Wesseling , M , Müller , D & Olesen , B W 2016 , Analysis of the occupants’ behavior related to natural ventilation . in P Kvols Heiselberg (ed.) , CLIMA 2016 - Proceedings of the 12th REHVA World Congress . vol. 10 , 383 , 12th REHVA World Congress , Aalborg , Denmark , 22/05/2016 .
Article (Journal)
Electronic Resource
English
DDC:
690
A Water Tank Experiment on the Influence of Occupants' Natural Convection on Ventilation Efficiency
| British Library Online Contents | 2002