Understanding the timing of energy demand through time use data: Time of the day dependence of social practices
By Jacopo Torriti. 2017
144 citations recorded by the source corpus.
Abstract The time dependence of social practices at specific points of the day shapes the timing of energy demand. This paper aims to assess how dependent energy-related social practices in the household are in relation to the time of the day. It analyses the 2005 UK Office for National Statistics National Time Use Survey making use of statistically-derived time dependence metrics for six social practice: preparing food, washing, cleaning, washing clothes, watching TV and using a computer. The focus is on social practices over temporal scales of different days of the week and months of the year. The main findings show that: washing has the highest value for the time dependence metric; using computers is the least time-dependent practice; Tuesdays, Wednesdays and Thursdays have the highest time dependence for all practices; and certain energy-related practices have higher seasonal dependence than others.
Subfields: Building and Construction, Pollution, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/b64eac21ce2394f0872573259702bcb0f81fc5d7
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In Building and Construction
In Pollution
In Renewable Energy, Sustainability and the Environment
- Dominik Wiedenhofer
- L. Akenji
- H. Haberl
- Mikko Jalas
- F. Krausmann
- Jaume Freire-González
- Bin Chen
- Shaoqing Chen
Citations in the corpus
- Household time use, carbon footprints, and urban form: a review of the potential contributions of everyday living to the 1.5 °C climate target (2018, background): “Increasingly also new data such as smart electricity meters and GPS tracking of mobile devices complement traditional diary-based survey methods [67].”