Lu Jiang

Prof. Dr. Lu Jiang

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2021 in Journal of Environmental Management
Verified
Journal Article
Closed access
HSHuizhen Su
Huizhen Su
XZXueyan Zhao
Xueyan Zhao
WWWeijun Wang
Weijun Wang
LJLu Jiang
Lu Jiang
BXBing Xue
Bing Xue

1 July 2022 in Energy Policy
Verified
Journal Article
Closed access
LYLu Yu
Lu Yu
SWShuang Wu
Shuang Wu
LJLu Jiang
Lu Jiang
BDBowenpeng Ding
Bowenpeng Ding
XSXiaonan Shi
Xiaonan Shi

25 May 2022 in Journal of Cleaner Production
Verified
Journal Article
Closed access
LJLu Jiang
Lu Jiang
XSXiaonan Shi
Xiaonan Shi
SWShuang Wu
Shuang Wu
BDBowenpeng Ding
Bowenpeng Ding
YCYamei Chen
Yamei Chen

6 May 2022 in Building and Environment
Verified
Journal Article
Closed access
YSYongxian Su
Yongxian Su
JWJianping Wu
Jianping Wu
PCPhilippe Ciais
Philippe Ciais
BZBo Zheng
Bo Zheng
YWYilong Wang
Yilong Wang
RLRaffaele Lafortezza
Raffaele Lafortezza

8 April 2022 in Energies
Verified
Journal Article
Open access
PDF file
LJLu Jiang
Lu Jiang
BDBowenpeng Ding
Bowenpeng Ding
XSXiaonan Shi
Xiaonan Shi
CLChunhua Li
Chunhua Li
YCYamei Chen
Yamei Chen
Over the last 20 years, energy consumption in the residential sector in China has grown rapidly, and the growth is faster than that of any other energy form. To assess the limitations of the spatial characteristics of household energy consumption in urban areas, this paper selected Guangzhou as the research area. Specifically, the old town, core area, central area and peri-urban areas, which best reflect the evolutionary characteristics and spatial differentiation of households, were assessed. Based on the surveyed database of community-scale household energy consumption (N = 1097), the spatial heterogeneity of household energy consumption and carbon emissions at the community scale were assessed through exploratory spatial data analysis and the standard deviation ellipse method. The results report that (1) the main sources of energy consumption in Guangzhou households were water heating equipment, kitchen equipment and refrigeration equipment, which were related to the climatic conditions and cultural traditions of the city. (2) There was significant spatial heterogeneity in the carbon emissions from household domestic energy use in Guangzhou. (3) The economic level, the effects of the Lingnan culture and the characteristics of residents are the main drivers influencing the spatial characteristics of household energy consumption and carbon emissions in Guangzhou. We propose that policy development should actively promote energy-efficient equipment, such as water heating and cooling equipment, in urban households and take full account of the basic household energy needs of residents in old urban and suburban areas while promoting the development of low-carbon buildings.

13 May 2024 in Energy
Verified
Journal Article
Closed access
LJLu Jiang
Lu Jiang
MYMeng Yan
Meng Yan
YWYong Wang
Yong Wang
PYPu Yang
Pu Yang
XSXiaonan Shi
Xiaonan Shi