Using Typical and Extreme Weather Files for Impact Assessment of Climate Change on Buildings
Autor: | Jesper Arfvidsson, Vahid M. Nik |
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Rok vydání: | 2017 |
Předmět: |
010504 meteorology & atmospheric sciences
Meteorology business.industry Impact assessment 020209 energy Big data Climate change 02 engineering and technology Transient climate simulation 01 natural sciences Extreme weather Weather data 0202 electrical engineering electronic engineering information engineering Environmental science Energy simulation business 0105 earth and related environmental sciences Downscaling |
Zdroj: | Energy Procedia. 132:616-621 |
ISSN: | 1876-6102 |
DOI: | 10.1016/j.egypro.2017.09.686 |
Popis: | Considering climate change and assessing its impacts is challenging due to dealing with large data sets and uncertainties. This paper discusses an approach for the impact assessment of climate change based on synthesizing weather data sets out of several climate scenarios, in a way to generalize the assessment despite of the existence of climate uncertainties. The is based on creating one-year weather data, representing typical, extreme-warm and -cold conditions for 30-year periods, which results in decreasing the length of simulations enormously. The usefulness and accuracy of the results are discussed for energy and moisture simulations in buildings. |
Databáze: | OpenAIRE |
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