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

机译:中国湖北省城市和网格级建筑能耗的投影数据集

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摘要

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].
机译:本数据文章以中国中部(湖北)一个典型的低碳试点省为例,介绍了不同城市的建筑节能减排途径。数据包含对省级社会经济因素(地区生产总值,人口和城市化率)的中长期预测,根据这些预测,可以在省级范围内估算基本情景下的建筑部门能耗。此外,还考虑了城市一级经济发展的空间异质性和能源利用强度,提供了各类城市的能源需求和建筑部门的结构。该数据集可用于计算城市规模的建筑部门减排潜力,以填补多个城市的缓解路径建模研究的空白。此外,还提出了合理方便的方法来分配有关排放强度和总量控制的省级目标。最后,这些数据为建筑物的能耗提供了高分辨率的网格化投影,可以将其扩展到其他部门和城市,以协助更完善的城市治理以及大气和气候建模。本文提供的数据与研究文章“城市层面的中国城市的碳减排:低碳省案例研究的路径和政策含义”相关[1]。

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