Dataset for "Current and Future Test Reference Years at a 5km Resolution"

Dataset for "Current and Future Test Reference Years at a 5km Resolution"

The weather data (.EPW format) was created for use in building simulations. The weather data is available at a 5km by 5km spatial resolution across the UK. Thus, building practitioners are able to assess thermal performance of buildings with localised weather for more convincing results. In addition, it is possible to investigate spatial variability of thermal performance of buildings for the whole UK.

Subjects:
Civil engineering and built environment
Climate and climate change

Cite this dataset as:
Liu, C., 2019. Dataset for "Current and Future Test Reference Years at a 5km Resolution". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00666.

Export

Data

COLBEproject_We ... Files_TYPE_A.7z
application/x-7z-compressed (16GB)
Creative Commons: Attribution 4.0

COLBEproject_We ... Files_TYPE_B.7z
application/x-7z-compressed (16GB)
Creative Commons: Attribution 4.0

COLBEproject_We ... Files_TYPE_C.7z
application/x-7z-compressed (16GB)
Creative Commons: Attribution 4.0

COLBEproject_We ... Files_TYPE_D.7z
application/x-7z-compressed (16GB)
Creative Commons: Attribution 4.0

COLBEproject_We ... es_TYPEs_E-H.7z
application/x-7z-compressed (16GB)
Creative Commons: Attribution 4.0

COLBEproject_We ... Files_TYPE_I.7z
application/x-7z-compressed (13GB)
Creative Commons: Attribution 4.0

Building practitioners are able to download the weather files for the place of interest based on post code or latitude and longitude via the COLBE/ZED-i Repository of Future Weather (https://colbe.bath.ac.uk/), after completing a survey on the use to which the weather data will be put.

COLBE/ZED-i Repository of Future Weather

Creators

Chunde Liu
University of Bath

Contributors

David Coley
Project Leader
University of Bath

University of Bath
Rights Holder

Coverage

Collection date(s):

From 1 October 2017 to 7 March 2018

Documentation

Data collection method:

Current and future weather data for use in building simulations were created based on the synthetic weather data provided by Newcastle University. The synthetic weather data have been generated from the Spatial Urban Weather Generator (SUWG) for each 5km by 5km grid over the whole UK landscape. There are eight types of weather files available at a 5km grid resolution for the UK which comes to 11326 locations in total. The methodologies used for the creation of type A, B, C, D, E and F weather files can be found in published articles. The methods for type G and H can be found in the README file. Type A: 10th, 50th, and 90th percentile TRYs and DSYs for the control year (i.e. 1961 - 1990). Reference: Eames, M., Kershaw, T. and Coley, D., 2011. On the creation of future probabilistic design weather years from UKCP09. Building Services Engineering Research and Technology, 32(2), pp.127-142. https://doi.org/10.1177/0143624410379934 Type B: 10th, 50th, and 90th percentile TRYs and DSYs for the 2080s (i.e. 2070 - 2099). Reference: Eames, M., Kershaw, T. and Coley, D., 2011. On the creation of future probabilistic design weather years from UKCP09. Building Services Engineering Research and Technology, 32(2), pp.127-142. https://doi.org/10.1177/0143624410379934 Type C: 10th, 50th, and 90th percentile TRY-max and TRY-min for the control year (i.e. 1961 - 1990). Reference: Liu, C., Chung, W., Cecinati, F., Natarajan, S., & Coley, D. (2019). Current and future test reference years at a 5 km resolution. Building Services Engineering Research and Technology. https://doi.org/10.1177/0143624419880629 Type D: 10th, 50th, and 90th percentile TRY-max and TRY-min for the 2080s (i.e. 2070 - 2099). Reference: Liu, C., Chung, W., Cecinati, F., Natarajan, S., & Coley, D. (2019). Current and future test reference years at a 5 km resolution. Building Services Engineering Research and Technology. https://doi.org/10.1177/0143624419880629 Type E: 10th, 50th, and 90th percentile HSYs for the control year (i.e. 1961 - 1990). Reference: Liu, C., Kershaw, T., Eames, M.E. and Coley, D.A., 2016. Future probabilistic hot summer years for overheating risk assessments. Building and Environment, 105, pp.56-68. https://doi.org/10.1016/j.buildenv.2016.05.028 Type F: 10th, 50th, and 90th percentile HSYs for the 2080s (i.e. 2070 - 2099). Reference: Liu, C., Kershaw, T., Eames, M.E. and Coley, D.A., 2016. Future probabilistic hot summer years for overheating risk assessments. Building and Environment, 105, pp.56-68. https://doi.org/10.1016/j.buildenv.2016.05.028 Type G: SSHW for the control year (i.e. 1961 - 1990). Type H: SSHW for the 2080s (i.e. 2070 - 2099). Type I: All the above weather types: pTRY, pDSY, pTRY-max, pTRY-min, pHSY and SSHW for the 2020s (2010 - 2039)

Technical details and requirements:

The Spatial Urban Weather Generator was used to generate current and future weather data for 11326 grid locations across the UK. MATLAB R2016b and the Balena HPC provided by the University of Bath have been used to process the synthetic weather data of which size is approximately 30 TB. The .epw format is a plain text format that may be processed with EnergyPlus open source software (https://energyplus.net/); the format is documented in the Auxiliary Programs documentation accompanying the software.

Documentation Files

README.txt
text/plain (3kB)

Descriptions and methods for each weather type.

Data Management Plans

DataManagementP ... ans_upload.docx
application/vnd.openxmlformats-officedocument.wordprocessingml.document (12kB)

Funders

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

COLBE - The Creation of Localized Current and Future Weather for the Built Environment
EP/M021890/1

Publication details

Publication date: 8 October 2019
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00666

URL for this record: https://researchdata.bath.ac.uk/id/eprint/666

Related articles

Liu, C, Chung, W, Cecinati, F, Natarajan, S and Coley, D, 2019. Current and future test reference years at a 5 km resolution. Building Services Engineering Research and Technology, p.014362441988062. Available from: https://doi.org/10.1177/0143624419880629.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Chunde Liu

Departments:

Faculty of Engineering & Design
Architecture & Civil Engineering

Research Centres & Institutes
Centre for Energy and the Design of Environments (EDEn)