go to top scroll for more

Future spatiotemporal residential cooling demand of GB

Description:

The increasing need for residential cooling in Great Britain due to rising temperatures could pose significant challenges to the electricity infrastructure. This study estimates the spatiotemporal cooling demand for residential buildings in Great Britain in 2050. A bottom-up methodology using a lumped parameter dynamic thermal model of building was applied to estimate half-hourly cooling demand and the electricity consumptions of cooling devices for representative dwelling archetypes in 41,726 local areas. The upper estimate for annual and peak electricity consumptions for cooling technologies have been estimated to be 9.3 TWh and 62.6 GW, respectively. The study highlights regional demand variations, correlations between the electricity consumption of cooling technologies and electricity generation by distributed photovoltaics, and the moderating effect of higher dwelling thermal capacities on cooling peak demand. These insights highlight the need for electricity infrastructure reinforcement, and integrated strategies for buildings retrofit and renewable energy to ensure system resilience. This is the data behind this study.

Creator:

Alexandre Canet and Meysam Qadrdan (Cardiff University)

Publisher:

Cardiff University

Citation (APA Style 7th Edition):

Alexandre Canet and Meysam Qadrdan (Cardiff University) (2050). Future spatiotemporal residential cooling demand of GB [Data set]. Cardiff University. https://doi.org/10.5286/UKERC.EDC.000993

Energy Category

Class Name:

Subclass Name:

Category Name:

Field Dates:

No start date details - No end date details

Data Date Range:

01/05/2050 - 30/09/2050

Data type:

Time Series

Data format:

text/csv

Language:

English

Number of Units:

1

Unit Type:

hourly cooling demand in dwellings + metadata

Number of Records:

data is for 3672 hours for around 41,000 LSOAs/Datazones or 150 millions datapoints

Parameters:

No parameters supplied

Rights:

CC-BY

Rights Overview:

This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. Credit must be given to the creator.

Sector:

Domestic

Subject:

No subject applied

Related Dataset(s):

No related datasets

Related Project(s):

No related projects

Related Publications(s):

No related publications

The Energy Data Centre works in collaboration with the CEDA Archive to provide this information