Data for: An effective methodology to quantify cooling demand in the UK housing stock
This repository contains the data shown in the figures in the paper ‘An effective methodology to quantify cooling demand in the UK housing stock’. The data is stored in CSV files, with the datetime index (created in Python) as the first column and the hourly thermal demand in the adjacent columns. Each header is the thermal efficiency dwelling code described in the paper.
The compressed file (*.ZIP) of the data needs to be unzipped to obtain this folder.
For more information on the datasets, please refer to the user manual provided along with the files.
Please cite the following paper when using this data:
L. Corcoran, P. Saikia, C. E. Ugalde-Loo, and M. Abeysekera, ‘An effective methodology to quantify cooling demand in the UK housing stock’, Appl. Energy, vol. 380, p. 125002, Feb. 2025, doi: 10.1016/j.apenergy.2024.125002.
Funding
Flexibility from Cooling and Storage (Flex-Cool-Store)
Engineering and Physical Sciences Research Council
Find out more...Advancing Sustainable Building Practices: A Comprehensive Investigation into Estimation Techniques for Thermal Load of Buildings (funded jointly by UK-India Education and Research Initiative (UKIERI), British Council, UK and the Scheme for Promotion of Academic and Research Collaboration (SPARC), India, under grant numbers UKIERI-SPARC/03/11 (UK) and SPARC-UKIERI/2024-2025/P3094 (India)).
History
Data file formats
CSVSpecialist software required to view data files
MS ExcelLanguage(s) in dataset
- English-Great Britain (EN-GB)
