Contribution to collective works (Parts of books)
Lifecycle Impact Assessment for Tall Timber Building: Learning from HAUT
Attia, Shady
2025In Springer Tracts in Civil Engineering
 

Files


Full Text
Final.pdf
Publisher postprint (1.37 MB) Creative Commons License - Attribution, Non-Commercial, No Derivative
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
environmental impact; GHG emission; carbon modelling; Cross-Laminated Timber; end-of-life
Abstract :
[en] The HAUT building in Amsterdam, the tallest timber structure in the Netherlands, redefines sustainable high-rise construction. This 21-story hybrid design combines mass timber with concrete, offering a benchmark for the Lifecycle Impact Assessment (LCIA) of tall timber buildings. The chapter addresses challenges in embodied carbon, biogenic storage, and end-of-life pathways, using dynamic LCIA modeling to assess environmental impacts. Research shows timber buildings often surpass a 150-year lifespan, exceeding the 50-year evaluation standard in regulations. However, findings suggest timber-only designs lose efficiency above 60 m, requiring hybrid solutions. Lessons from HAUT provide actionable strategies for advancing sustainable timber high-rises.
Disciplines :
Architecture
Author, co-author :
Attia, Shady  ;  Université de Liège - ULiège > Département ArGEnCo > Techniques de construction des bâtiments
Language :
English
Title :
Lifecycle Impact Assessment for Tall Timber Building: Learning from HAUT
Publication date :
24 September 2025
Main work title :
Springer Tracts in Civil Engineering
Publisher :
Springer Nature Switzerland
ISBN/EAN :
978-3-03-202098-7
978-3-03-202097-0
Pages :
177-185
Development Goals :
11. Sustainable cities and communities
Available on ORBi :
since 26 September 2025

Statistics


Number of views
25 (5 by ULiège)
Number of downloads
9 (3 by ULiège)

Scopus citations®
 
0
Scopus citations®
without self-citations
0
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBi