The creation of localized current and future weather for the built environment
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Engineering Computer Science and Maths
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Organisations
People |
ORCID iD |
| Matthew Eames (Principal Investigator) |
Publications
Eames M.E.
(2016)
An exploration of the selection of design summer years to define the overheating risk of buildings
in Proceedings - 9th International Windsor Conference 2016: Making Comfort Relevant
Evins R
(2018)
The impact of local variations in a temperate maritime climate on building energy use
in Journal of Building Performance Simulation
Herrera M
(2017)
A review of current and future weather data for building simulation
in Building Services Engineering Research and Technology
Herrera M
(2018)
Creating extreme weather time series through a quantile regression ensemble
in Environmental Modelling & Software
Liu C
(2016)
Future probabilistic hot summer years for overheating risk assessments
in Building and Environment
Ramallo-González A
(2020)
An analytical heat wave definition based on the impact on buildings and occupants
in Energy and Buildings
| Description | Heatwaves are expected to come more frequent and more intense under climate change. While it is clear that these changes will have an averse effect on the built environment there was no recognized way of testing such events in buildings robustly. We developed analytic relationships between heat waves and increases in internal temperatures in real buildings. This allows us to determine the risk of overheating in building stocks using simplified physics models for heat waves of particular forms eg. a heat wave of three days with a an amplitude of 3 degrees above the conditions before the heatwave. |
| Exploitation Route | The methodologies developed could easily be expanded to any location around the world if enough data could gathered about the functional form of heatwaves. Likewise the impact on buildings can be determined if knowledge of the building stock is known. This can easily be reduced to the simplified models used in this work. |
| Sectors | Construction Digital/Communication/Information Technologies (including Software) Energy Environment Government Democracy and Justice |
| URL | https://colbe.bath.ac.uk/ |
| Description | 'The impact of this work is recorded against grant ref EP/M021890/1 |
| First Year Of Impact | 2022 |
| Sector | Construction |
| Impact Types | Societal Economic Policy & public services |