English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Climate for Culture: assessing the impact of climate change on the future indoor climate in historic buildings using simulations

MPS-Authors
/persons/resource/persons37265

Mikolajewicz,  Uwe
Ocean Physics, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

s40494-015-0067-9.pdf
(Publisher version), 5MB

Supplementary Material (public)
There is no public supplementary material available
Citation

Leissner, J., Kilian, R., Kotova, L., Jacob, D., Mikolajewicz, U., Broström, T., et al. (2015). Climate for Culture: assessing the impact of climate change on the future indoor climate in historic buildings using simulations. Heritage Science, 3: 38. doi:10.1186/s40494-015-0067-9.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0029-7879-A
Abstract
The present study reports results from the large-scale integrated EU project “Climate for Culture”. The full name, or title, of the project is Climate for Culture: damage risk assessment, economic impact and mitigation strategies for sustainable preservation of cultural heritage in times of climate change. This paper focusses on implementing high resolution regional climate models together with new building simulation tools in order to predict future outdoor and indoor climate conditions. The potential impact of gradual climate change on historic buildings and on the vast collections they contain has been assessed. Two moderate IPCC emission scenarios A1B and RCP 4.5 were used to predict indoor climates in historic buildings from the recent past until the year 2100. Risks to the building and to the interiors with valuable artifacts were assessed using damage functions. A set of generic building types based on data from existing buildings were used to transfer outdoor climate conditions to indoor conditions using high resolution climate projections for Europe and the Mediterranean.