Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings
Highlights Occupancy rate, appliance and lighting use, door opening behaviour modelled in a set of Passivhaus terraces. Results compare well with available measured data from Europe. Results show that Passivhaus homes are less sensitive to the occupant's behaviour than thought.
Abstract There has been a history of low-energy design failing to translate into low measured energy consumption in domestic buildings. In part this failure can be attributed to occupant behaviour and household variation. It is therefore important to provide a method whereby such variation can be accounted for so that deviations from design values can be identified as natural variation rather than design failure. This paper addresses the likely range of occupant behaviour and the resultant impact on heating energy consumption for domestic Passivhaus buildings. Realistic, quasi-empirical, profiles for different occupancies, lighting, and appliance-use were applied to a set of 100 terraced Passivhaus units, and modelled in a dynamic building simulation programme. Strong correlations between the results and measured data from a large set of similar properties are shown. Multiple regression techniques were used to identify the relationship between space heating load and behavioural variables. This led to the development of a regression equation which can be used to estimate the likely space-heating requirements of a household given particular behavioural variables, and to the test the impact of certain behaviours on annual heating energy demand. It is found that in general passive houses are less sensitive to behaviour than anticipated.
Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings
Highlights Occupancy rate, appliance and lighting use, door opening behaviour modelled in a set of Passivhaus terraces. Results compare well with available measured data from Europe. Results show that Passivhaus homes are less sensitive to the occupant's behaviour than thought.
Abstract There has been a history of low-energy design failing to translate into low measured energy consumption in domestic buildings. In part this failure can be attributed to occupant behaviour and household variation. It is therefore important to provide a method whereby such variation can be accounted for so that deviations from design values can be identified as natural variation rather than design failure. This paper addresses the likely range of occupant behaviour and the resultant impact on heating energy consumption for domestic Passivhaus buildings. Realistic, quasi-empirical, profiles for different occupancies, lighting, and appliance-use were applied to a set of 100 terraced Passivhaus units, and modelled in a dynamic building simulation programme. Strong correlations between the results and measured data from a large set of similar properties are shown. Multiple regression techniques were used to identify the relationship between space heating load and behavioural variables. This led to the development of a regression equation which can be used to estimate the likely space-heating requirements of a household given particular behavioural variables, and to the test the impact of certain behaviours on annual heating energy demand. It is found that in general passive houses are less sensitive to behaviour than anticipated.
Sensitivity analysis of the effect of occupant behaviour on the energy consumption of passive house dwellings
Blight, Thomas S. (Autor:in) / Coley, David A. (Autor:in)
Energy and Buildings ; 66 ; 183-192
28.06.2013
10 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
UK TUS , United Kingdom Time Use Survey , PHPP , Passive House Institute's ‘Passive House Planning Package’ , CO<inf>2</inf> , carbon dioxide , IES VE , Integrated Environmental Solutions’ ‘Virtual Environment’ software , CEPHEUS , ‘Cost Efficient Passive Houses as a European Standard’ project , UQ & LQ , upper quartile & lower quartile , RSD , relative standard deviation , BU , bottom-up , CDA , conditional demand analysis , NN , neural network , Passivhaus , Occupant behaviour , Modelling , Simulation
Occupant influence on energy consumption in single-family dwellings
| UB Braunschweig | 1986