Modeling and mapping domestic energy behavior: Insights from a consumer survey in France

Bourgeois, Alexis; Pellegrino, Margot; Lévy, Jean-Pierre

doi:10.1016/j.erss.2017.06.021

Cited by 20 publications

(21 citation statements)

References 28 publications

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“…Since these are available for each person in France, maps of the behavioural indicators can be produced for the entire country. Details concerning the methodology of Bourgeois et al (2017) are not repeated here. The following information is used: -The efficiency tendency (ET) (ECR in Bourgeois et al, 2017) indicates to which degree inhabitants tend to regulate equipments related with building energy consumption.…”

Section: Building Usementioning

confidence: 99%

“…Details concerning the methodology of Bourgeois et al (2017) are not repeated here. The following information is used: -The efficiency tendency (ET) (ECR in Bourgeois et al, 2017) indicates to which degree inhabitants tend to regulate equipments related with building energy consumption. For implementation in TEB we only consider the relationship between ET and the use of the heating system.…”

Section: Building Usementioning

confidence: 99%

“…- Bourgeois et al (2017) also defined indicators related to equipment with large household appliances (EQ) and the intensity of use of large electrical appliances (IU). Similar to ET, there are two classes (high and low) for both EQ and IU.…”

Section: Human Behaviour In Residential Buildingsmentioning

confidence: 99%

“…Such approaches are promising, since in many regions no detailed administrative datasets exist. Bourgeois et al (2017) developed statistical models, calibrated with data from the ENERGIHAB survey that allow the prediction of indicators related to human behaviour based on the INSEE-Census data. Since these are available for each person in France, maps of the behavioural indicators can be produced for the entire country.…”

Section: Building Usementioning

confidence: 99%

“…This confirms previous studies indicating that elderly people tend to heat more (Motuziene and Vilutiene, 2013;de Meester et al, 2013). The statistical model of Bourgeois et al (2017) predicts whether one household will be of high or low ET (two classes). For this reason, we take the values of the heating design temperature and the non-heated fraction of the buildings available from the ENERGIHAB survey and average them for the households falling into the high and the low ET class, respectively.…”

Section: Building Usementioning

confidence: 99%

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Parametrisation of the variety of human behaviour related to building energy consumption in the Town Energy Balance (SURFEX-TEB v. 8.2)

et al. 2017

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Abstract. The anthropogenic heat flux can be an important part of the urban surface energy balance. Some of it is due to energy consumption inside buildings, which depends on building use and human behaviour, both of which are very heterogeneous in most urban areas. Urban canopy parametrisations (UCP), such as the Town Energy Balance (TEB), parametrise the effect of the buildings on the urban surface energy balance. They contain a simple building energy model. However, the variety of building use and human behaviour at grid point scale has not yet been represented in state of the art UCPs. In this study, we describe how we enhance the Town Energy Balance in order to take fractional building use and human behaviour into account. We describe how we parametrise different behaviours and initialise the model for applications in France. We evaluate the spatio-temporal variability of the simulated building energy consumption for the city of Toulouse. We show that a more detailed description of building use and human behaviour enhances the simulation results. The model developments lay the groundwork for simulations of coupled urban climate and building energy consumption which are relevant for both the urban climate and the climate change mitigation and adaptation communities.

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Section: Building Usementioning

confidence: 99%

Section: Building Usementioning

confidence: 99%

Section: Human Behaviour In Residential Buildingsmentioning

confidence: 99%

Section: Building Usementioning

confidence: 99%