The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry

被引:6
作者
Zhang, Ying [1 ,2 ,3 ]
Dong, Xiaobin [1 ,2 ,3 ]
Wang, Xuechao [1 ,2 ,3 ]
Zhang, Peng [1 ,2 ,3 ]
Liu, Mengxue [1 ,2 ,3 ]
Zhang, Yufang [2 ,4 ]
Xiao, Ruiming [1 ,2 ,3 ]
机构
[1] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Coll Resources Sci & Technol, Beijing 100875, Peoples R China
[4] Water Saving Agr Southern Hill Area Key Lab Sichua, Chengdu 610066, Peoples R China
基金
中国国家自然科学基金;
关键词
low-carbon model; human well-being; carbon footprint; life cycle assessment; hierarchical analysis method;
D O I
10.3390/en16031357
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The electric power industry is one of the major industries in terms of carbon dioxide (CO2) emissions, and it is necessary to explore low-carbon green power generation models. In recent years, more research has focused on the difference in carbon emissions in fossil energy versus renewable energy but ignored the impact of energy on human well-being. The life cycle assessment (LCA) method is a better method for assessing the impact of the low-carbon model on human well-being. In this paper, the carbon footprints of coal power plants and photovoltaic power (PV) plants generating 1 Kilowatt hour (kWh) of electricity are compared to analyze the degree of carbon emissions at different stages of the two models, and the environmental impact potential of the two models is analyzed using the LCA method. The differences between the two models in terms of human well-being were analyzed through questionnaires and quantified using the hierarchical analysis method. The impact of the different models on human well-being was compared using LCA method. The results of the study were as follows: the total CO2 emissions from coal-fired power generation at the 1 kWh standard were 973.38 g, while the total CO2 emissions from PV power generation were 91.95 g, and the carbon emission intensity of coal-fired power plants was higher than that of PV power plants. The global warming potential and eutrophication potential of coal-fired power plants were higher than those of PV power plants, and the rest of the indicators were lower than those of PV power plants. The composite human well-being index of PV power plants was 0.613 higher than that of coal-fired power plants at 0.561. The per capita income-global warming potential of PV power plants was higher than that of coal-fired power plants, indicating that PV power plants were a low carbon-emission and high well-being model. In conclusion, the PV power plant model is a low-carbon and high human well-being industrial model that is worthy of application in the Qilian Mountains region. The low-carbon industrial model proposed in this study can have a positive effect on regional ecological environmental protection and human well-being enhancement.
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页数:19
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