Rationale: Present and future strategies of demand management depend on detailed knowledge of when endues practices occur, how they are sequenced and how flexible they are in terms of timing and duration. This is key for estimating and influencing the risks of peak demand. Research in this project will generate results that are important in their own right and identify topics for more detailed analysis within Theme 2.
Method: Using similar data sources to 1.1, this project uses novel activity sequencing approaches to produce innovative insights into the synchronicity of practices within households, showing which are predictable and which are more variable (Anderson); identifying the relation between peak demand in mobility and in energy used in buildings (Torriti); specifying time pressures and hotspots of energy demand, and the temporal and spatial flexibility of routine and infrequent mobility practices (Anable). Finally, we will test the extent to which patterns revealed by the time-use data reflect measured energy consumption.