Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Uncertainty of energy consumption and CO<sub>2</sub> emissions in the building sector in China

Loading...
Thumbnail Image

Date

Authors

Guo, Yangyang
Uhde, Helena
Wen, Wen

Journal Title

Journal ISSN

Volume Title

Publisher

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

Uncertainty is a major concern in projecting the energy consumption and CO2 emissions from buildings with implications for the formulation of mitigation and adaptation measures. Due to multiple uncertainties, it is difficult to assess how the energy consumption of buildings in China and the associated CO2 emissions will develop in the coming decades. Aiming to give a more accurate picture of the uncertainty of the driving factors, we develop a bottom-up national energy technology model for building sector (NET-Building) to depict the evolutionary trajectories of energy consumption and CO2 emissions in China's building sector by considering the uncertainty of future evolution trends of key variables that affecting the energy consumption and CO2 emissions. The results show that China's building energy consumption and CO2 emissions will peak in 2025–2040 and 2025–2035, with peak energy consumption and CO2 emissions varying from 742–1585 Mtce and 2238–4211 Mt, respectively. Meanwhile, the electricity consumption in the building sector in China will reach 2515–7242 TWh by 2050, indicating a large variation range caused by uncertainties.

Description

Citation

Source

Sustainable Cities and Society

Book Title

Entity type

Publication

Access Statement

License Rights

Restricted until