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

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.

Methodology link: