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Using Typical and Extreme Weather Files for Impact Assessment of Climate Change on Buildings

Nik, Vahid M. LU and Arfvidsson, Jesper LU (2017) In Energy Procedia 132. p.616-621
Abstract

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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
big data, Climate change, energy simulation, regional climate models, weather data
in
Energy Procedia
volume
132
pages
6 pages
publisher
Elsevier
external identifiers
  • scopus:85033372869
ISSN
1876-6102
DOI
10.1016/j.egypro.2017.09.686
language
English
LU publication?
yes
id
093e6e71-be4f-4bf2-9ed1-fbee7203d0ab
date added to LUP
2017-11-21 09:01:47
date last changed
2017-11-21 09:01:47
@article{093e6e71-be4f-4bf2-9ed1-fbee7203d0ab,
  abstract     = {<p>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.</p>},
  author       = {Nik, Vahid M. and Arfvidsson, Jesper},
  issn         = {1876-6102},
  keyword      = {big data,Climate change,energy simulation,regional climate models,weather data},
  language     = {eng},
  pages        = {616--621},
  publisher    = {Elsevier},
  series       = {Energy Procedia},
  title        = {Using Typical and Extreme Weather Files for Impact Assessment of Climate Change on Buildings},
  url          = {http://dx.doi.org/10.1016/j.egypro.2017.09.686},
  volume       = {132},
  year         = {2017},
}