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

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data 11990 3 35060 document 11990 README.txt text/plain c7365189c5f1bca8ca18b21a6d8cf088 MD5 3812 2019-10-17 12:57:32 https://researchdata.bath.ac.uk/666/9/README.txt 666 9 9 text/plain other Descriptions and methods for each weather type. en public

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indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/11991 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/11991 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/11991 archive 4764 disk0/00/00/06/66 2019-10-17 13:34:39 2024-07-15 10:59:09 2019-10-17 13:34:39 data_collection show Liu Chunde C.Liu2@bath.ac.uk 0000-0002-4814-2046 University of Bath TRUE ProjectLeader Coley David dac33@bath.ac.uk 0000-0001-5744-1809 University of Bath Dataset for "Current and Future Test Reference Years at a 5km Resolution" CP0140 CW0010 dept_civ_eng 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. 2019-10-08 University of Bath public https://colbe.bath.ac.uk/ COLBE/ZED-i Repository of Future Weather RightsHolder University of Bath Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/M021890/1 COLBE - The Creation of Localized Current and Future Weather for the Built Environment cent_eden 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) 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. https://doi.org/10.1177/0143624410379934 https://doi.org/10.1177/0143624419880629 https://doi.org/10.1016/j.buildenv.2016.05.028 2017-10-01 2018-03-07 en 1 10.15125/BATH-00666 https://doi.org/10.1177/0143624419880629 pub Balena High Performance Computer (HPC) System 3e22ef13-31b9-4700-b57e-57bcd3b3b985 open other 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.