Abstract
Buildings contribute 38% of emissions worldwide. Reduced buildings-related emissions for use cases including building codes, policy impacts, utility planning, building design, sizing HVAC, and controlling building systems would benefit from relevant, standardized, future weather files. A method based on IPCC-defined climate change scenarios is described involving downscaling to regionally-accurate, hourly meteorological variables. Multi-decadal variability is then considered in generating future typical meteorological year (fTMY) weather files to showcase quantified, climate-induced energy shifts for buildings in Maricopa County, Arizona.
| Original language | English |
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| Title of host publication | BuildSys 2022 - Proceedings of the 2022 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 504-507 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781450398909 |
| DOIs | |
| State | Published - Nov 9 2022 |
| Event | 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022 - Boston, United States Duration: Nov 9 2022 → Nov 10 2022 |
Publication series
| Name | BuildSys 2022 - Proceedings of the 2022 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation |
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Conference
| Conference | 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2022 |
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| Country/Territory | United States |
| City | Boston |
| Period | 11/9/22 → 11/10/22 |
Funding
Notice of Copyright. This work was funded by field work proposal CEBT105 under US Department of Energy Building Technology Office Activity Number BT0305000, as well as Office of Electricity Activity Number TE1103000. The authors would like to thank Harry Bergmann for his support and review of this project. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357. Oak Ridge National Laboratory is managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract DE-AC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC, under Contract Number DE-AC05-00OR22725 with the U.S. Department of Energy (DOE). The U.S. government retains and the publisher, by accepting the article for publication, acknowledges that the U.S. government retains, a nonexclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for U.S. government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).
Keywords
- buildings
- climate
- energy
- modeling