CLOSE X

The aim of this project was to provide you with accessible, user-friendly visualisations that show the ways in which our activities impact our energy demands. These visualisations condense a wealth of data from a variety of sources into stand-alone visualisations that allow you to explore how our everyday lives unfold over the course of a day, and what impacts they have on the amount of energy required to provide us with the services we have become used to have access to. More importantly, the visuals also show us the opportunities for shifting those energy- intensive activities away from those busy periods of the day and into those periods where there is potential to be more flexible, thus reducing the strain on our power systems.

This project was brought to you by the Flexibility of Demand theme at the Centre for research into Energy Demand Solutions (CREDS) ↗

The project was funded through CREDS by UK Research and Innovation through the grant agreement EP/R035288/1.

The Team

Project management:
Dr. Jose Luis Ramirez-Mendiola
Research Fellow on Flexibility in Energy Demand at the University of Reading, UK
CONTACT

Professor Jacopo Torriti
Professor of Energy Economics and Policy at the University of Reading and co-director of CREDS
CONTACT

Related Publications

Ramirez-Mendiola, J.
, Mattioli, G. , Anable, J. , Torriti, J. , (2022) I'm coming home (to charge): the relation between
commuting practices and peak energy demand in the UK. Energy Research & Social Science, 88

Yunusov, T. , Torriti, J. , (2021) Distributional effects of Time of Use tariffs based on electricity demand and time use.
Energy Policy, 156

Kleinebrahm, M. , Torriti, J. McKenna, R. , Ardone, A. , Fichtner, W. , (2021) Using neural networks
to model long-term dependencies in occupancy behavior. Energy and Buildings , 240

Anderson, B. & Torriti, J. , (2018) Explaining shifts in UK electricity demand
using time use data from 1974 to 2014. Energy Policy, 123

Torriti, J. , (2017) Understanding the timing of energy demand through time use data:
time of the day dependence of social practices. Energy Research & Social Science , 25

Torriti, J. , (2014) A review of time use models of residential electricity demand.
Renewable and Sustainable Energy Reviews , 37

Other contributors:

Federica Fragapane ↗
Visual design
Paolo Corti ↗
Web development
Copyright © 2022

The visuals are made available under the Creative Commons License CC BY-ND 4.0, and may be used and displayed without charge by all commercial and non-commercial websites.
Use is, however, only permitted with proper attribution to the project. When publishing one of these graphics, please include a backlink to the original site.
Flexibility

Energy demand flexibility
and the rhythms of
everyday life

Energy demand flexibility and
the rhythms
of everyday
life

Loading energy distributions

Energy demand flexibility and the rhythms of everyday life

One of the greatest challenges for a Net Zero Carbon future is making the most out of our clean energy sources.

More often than not, this requires us to have the ability to shift our electricity demands to those times of day when clean power is plentiful – this is what we call flexibility.

Flexibility is generally seen as a way of improving the balancing of our demand for energy with renewables’ output. The more renewables we use, the less carbon emissions we produce, and the closer we get to achieving our ambitious Net Zero targets.

So how do we achieve that flexibility?

Energy demand goes hand in hand with what people do, so our search for flexibility necessarily starts by looking at the rhythms of everyday life.

Essentially, if we want to change energy demand, we need to change either what people do or the way they do it.

But how exactly does demand for electricity relate to what people do on a day-to-day basis?

Our everyday life – what we do at home, at work, at school, when moving around – and its relation to energy demand is rather complex. As part of our work as energy researchers, we have introduced fresh approaches to thinking about the social-temporal organisation of energy demand. We also try to understand what these mean in terms of the ‘different flexibilities’ across different temporal scales and dimensions of everyday life such as the timing of people’s activities while at home, their travels, the demand for electricity, and the cost of providing said electricity.

Perhaps it is best to just dive right in and start exploring how these patterns of human activity translate into demand for energy. Here we share with you some tools that hopefully will allow you to visualise more easily these complex relations, and the ways in which we can increase our ability to be flexible.

START EXPLORING ↓
CLOSE X

The aim of this project was to provide you with accessible, user-friendly visualisations that show the ways in which our activities impact our energy demands. These visualisations condense a wealth of data from a variety of sources into stand-alone visualisations that allow you to explore how our everyday lives unfold over the course of a day, and what impacts they have on the amount of energy required to provide us with the services we have become used to have access to. More importantly, the visuals also show us the opportunities for shifting those energy- intensive activities away from those busy periods of the day and into those periods where there is potential to be more flexible, thus reducing the strain on our power systems.

This project was brought to you by the Flexibility of Demand theme at the Centre for research into Energy Demand Solutions (CREDS) ↗

The project was funded through CREDS by UK Research and Innovation through the grant agreement EP/R035288/1.

The Team

Project management:
Dr. Jose Luis Ramirez-Mendiola
Research Fellow on Flexibility in Energy Demand at the University of Reading, UK
CONTACT

Professor Jacopo Torriti
Professor of Energy Economics and Policy at the University of Reading and co-director of CREDS
CONTACT

Related Publications

Ramirez-Mendiola, J.
, Mattioli, G. , Anable, J. , Torriti, J. , (2022) I'm coming home (to charge): the relation between
commuting practices and peak energy demand in the UK. Energy Research & Social Science, 88

Yunusov, T. , Torriti, J. , (2021) Distributional effects of Time of Use tariffs based on electricity demand and time use.
Energy Policy, 156

Kleinebrahm, M. , Torriti, J. McKenna, R. , Ardone, A. , Fichtner, W. , (2021) Using neural networks
to model long-term dependencies in occupancy behavior. Energy and Buildings , 240

Anderson, B. & Torriti, J. , (2018) Explaining shifts in UK electricity demand
using time use data from 1974 to 2014. Energy Policy, 123

Torriti, J. , (2017) Understanding the timing of energy demand through time use data:
time of the day dependence of social practices. Energy Research & Social Science , 25

Torriti, J. , (2014) A review of time use models of residential electricity demand.
Renewable and Sustainable Energy Reviews , 37

Other contributors:

Federica Fragapane ↗
Visual design
Paolo Corti ↗
Web development
Copyright © 2022

The visuals are made available under the Creative Commons License CC BY-ND 4.0, and may be used and displayed without charge by all commercial and non-commercial websites.
Use is, however, only permitted with proper attribution to the project. When publishing one of these graphics, please include a backlink to the original site.
Flexibility
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