Projection datasets of city- and grid-level building energy consumption for Hubei Province, China.

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ID: 77887
2020
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Abstract
This data article takes a typical low-carbon pilot province in Middle China (Hubei) as an example to present the pathway of building energy conservation and emission reductions for different cities. The data contains middle-to-long-term predictions of provincial socioeconomic factors (Gross Regional Production, population and urbanization rate), based on which building sector energy consumption under the base scenario could be estimated on provincial scale. Besides, energy demand and structures of the building sectors in cities from various categories are also provided by considering the spatial heterogeneity of city-level economic development and energy use intensities. This dataset could be used to calculate building sector emission reduction potentials on city scale so as to fill in the research gap of mitigation pathway modeling for multiple cities. Moreover, it also proposes a reasonable and convenient approach to allocate provincial targets concerning emission intensity and total amount control. Finally, the data offers high-resolution gridded projections for building energy consumption, which could be expanded to other sectors and cities to assist in more refined urban governance and atmospheric and climate modeling. The data presented herein are associated with the research article "Carbon mitigation of China's building sector on city-level: pathway and policy implications by a low-carbon province case study" [1].
Reference Key
chen2020projectiondata Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Chen, Han;Chen, Wenying;
Journal Data in brief
Year 2020
DOI
10.1016/j.dib.2019.104952
URL
Keywords
energy consumption city emission reduction building sector

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