As the climate is changing and buildings are designed with a life expectancy of 50+ years, it is sensible to take climate change into account during the design phase. Data representing future weather are needed so that building performance simulations can predict the impact of climate change. Currently, this usually requires one year of weather data with a temporal resolution of one hour, which represents local climate conditions. However, both the temporal and spatial resolution of global climate models is generally too coarse. Two general approaches to increase the resolution of climate models - statistical and dynamical downscaling have been developed. They exist in many variants and modifications. The present paper aims to provide a comprehensive overview of future weather application as well as critical insights in the model and method selection. The results indicate a general trend to select the simplest methods, which often involves a compromise on selecting climate models.
|Publication status||Published - 2021|
|Event||8th International Conference on Building Physics Conference - Copenhagen, Denmark|
Duration: 25 Aug 2021 → 27 Aug 2021
Conference number: 8
|Conference||8th International Conference on Building Physics Conference|
|Period||25/08/2021 → 27/08/2021|