A bottom-up dynamic building stock model for residential energy transition

Title

A bottom-up dynamic building stock model for residential energy transition: A case study for the Netherlands

Author

Yang, X.
Hu, M.
Tukker, A.
Zhang, C.
Huo, T.
Steubing, B.

Publication year

2022

Subject

Bottom-up
Carbon emissions
Climate change
Dynamic building stock model
Energy transition
Geographic information system (GIS)
Material flow analysis (MFA)
Carbon footprint
Climate models
Emission control
Gas emissions
Geographic information systems
Greenhouse gases
Housing
Life cycle
Space heating
Building stocks
Carbon emissions
Geographic information system
Life cycle assessment
Materials flow analysis
Stock models
Climate change
carbon footprint
electricity
environmental impact
greenhouse effect
greenhouse gas
material flow analysis
policy making
residential energy
spatiotemporal analysis
Netherlands

To reference this document use:

http://resolver.tudelft.nl/uuid:30634464-9dd4-401a-95fe-d8aec0db6533

TNO identifier

962726

Publisher

Elsevier Ltd

ISSN

0306-2619

Source

Applied Energy, 306 (306)

Document type

article