Open Access
Issue |
E3S Web of Conf.
Volume 396, 2023
The 11th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC2023)
|
|
---|---|---|
Article Number | 05014 | |
Number of page(s) | 8 | |
Section | Outdoor Thermal Environments and Impacts of Heat Island Phenomena | |
DOI | https://doi.org/10.1051/e3sconf/202339605014 | |
Published online | 16 June 2023 |
- K. Soga, Development of future weather data using global warming projection: Research on future weather data for designing building and equipment which are adaptable to climate change, Japan Architectural Review, 1, 1 (2018) [Google Scholar]
- C. N. Nielsen, & J. Kolarik, Utilization of climate files predicting future weather in dynamic building performance simulation – A review. Journal of Physics, Conference Series, 2069 (2021) [Google Scholar]
- M. F. Jentsch, et al., Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates, Renewable Energy, 55 (2013) [Google Scholar]
- Meteotest, Meteonorm version 8 web https://meteonorm.com/en/meteonorm-version-8 (access 2022.11.30) [Google Scholar]
- L. Troup, & D. Fannon, Morphing climate data to simulate building energy consumption, ASHRAE and IBPA-USA SimBUild (2016) [Google Scholar]
- D. Ramon, et al., Future weather data for dynamic building energy simulations: Overview of available data and presentation of newly derived data for Belgium, In Energy Sustainability in Built and Urban Environments, pp.111-138 (2019) [Google Scholar]
- N. Ishizaki, et al., Evaluation of two bias-correction method for gridded climate scenarios over Japan, SOLA, 16 (2020) [Google Scholar]
- S. E. Belcher, et al., Constructing design weather data for future climates. Building Services Engineering Research and Technology, 26, 1 (2005) [Google Scholar]
- M. Eames, et al., A comparison of future weather created from morphed observed weather data and created by a weather generator, Building and Environment, 56, (2012) [Google Scholar]
- A. Machard, et al., A methodology for assembling future weather files including heatwaves for building thermal simulations from the European Coordinated Regional Downscaling Experiment (EURO-CORDEX) climate data, Energies, 13, 13 (2020) [Google Scholar]
- V. M. Nik, Making energy simulation easier for future calimte – Synthesizing typical and extreme weaether data sets out of regional climate models (RCMs), Applied Energy, 177, 2016 [PubMed] [Google Scholar]
- M. P. Tootkaboni, et al., A comparative analysis of different future weather data for building energy performance simulation, Climate, 9, 2 (2021) [Google Scholar]
- Y. Arima, et al., Effect of climate change on building cooling loads in Tokyo in the summers of the 2030s using dynamically downscaled GCM data, Energy and Buildings, 114, 15 (2016) [Google Scholar]
- A. Ozaki, & T. Tsujimaru, Prediction of hygrothermal environment of buildings based upon combined simulation of heat and moisture transfer and airflow, 9th International IBPSA Conference, Montreal, Canada, August (2005) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.