Using Typical and Extreme Weather Files for Impact Assessment of Climate Change on Buildings
(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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/093e6e71-be4f-4bf2-9ed1-fbee7203d0ab
- author
- Nik, Vahid M.
LU
and Arfvidsson, Jesper LU
- organization
- publishing date
- 2017
- 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
- 2022-04-25 04:03:02
@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}}, keywords = {{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}}, doi = {{10.1016/j.egypro.2017.09.686}}, volume = {{132}}, year = {{2017}}, }