Imperial College London
Alternate

DrArunaSivakumar

Faculty of Engineering, Department of Civil and Environmental Engineering

Reader in Consumer Demand Modelling And Urban Systems
 
 
 
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Contact

 

+44 (0)20 7594 6036a.sivakumar Website

 
 
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Location

 

604Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Pawlak:2021:10.1016/j.erss.2021.102318,
author = {Pawlak, J and Faghih, Imani A and Sivakumar, A},
doi = {10.1016/j.erss.2021.102318},
journal = {Energy Research and Social Science},
pages = {1--18},
title = {How do household activities drive electricity demand? Applying activity-based modelling in the context of the United Kingdom},
url = {http://dx.doi.org/10.1016/j.erss.2021.102318},
volume = {82},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Driven by the necessity to increase utilisation of the existing networks and accommodation of volatility in renewable energy generation, the energy sector is undergoing a shift from an unconstrained infrastructure expansion to accommodate growth in demand towards demand management strategies. Such strategies, for example nudging demand using incentives such as price signals, or Demand Side Response (DSR), rely on the ability to accurately understand and harness flexibility in demand. Activity-based demand modelling frameworks can provide this capability, as they enable the detailed modelling and simulation of individuals and their activities. However, to date, no modelling approach has been proposed that can link energy consumption of a household to the activities undertaken, heterogeneity of the household residents, presence and use of household appliances and devices as well as weather and energy system-related variables. This paper addresses the gap by proposing a log-linear mixed-effects model of energy consumption based on reported household activities alongside a comprehensive set of attributes and contextual variables that might influence household energy consumption. Application of the model is demonstrated using joint time-use and residential electricity consumption data from 160 households, collected between 2016 and 2018 in the UK. The modelling results prove the value of incorporating time-use (activities) in modelling residentialelectricity demand, when compared against modelling without such considerations. Furthermore, the model provides (semi-)elasticities of demand and marginal changes in electricity consumption due to activities, which are of direct policy value or serve as inputs into activity-based energy demand simulation.
AU  - Pawlak,J
AU  - Faghih,Imani A
AU  - Sivakumar,A
DO  - 10.1016/j.erss.2021.102318
EP  - 18
PY  - 2021///
SN  - 2214-6296
SP  - 1
TI  - How do household activities drive electricity demand? Applying activity-based modelling in the context of the United Kingdom
T2  - Energy Research and Social Science
UR  - http://dx.doi.org/10.1016/j.erss.2021.102318
UR  - https://www.sciencedirect.com/science/article/pii/S2214629621004102?via%3Dihub
UR  - http://hdl.handle.net/10044/1/91673
VL  - 82
ER  -
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