The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry
The electric power industry is one of the major industries in terms of carbon dioxide (CO<sub>2</sub>) 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 ver...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/3/1357 |
| _version_ | 1797624660662157312 |
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| author | Ying Zhang Xiaobin Dong Xuechao Wang Peng Zhang Mengxue Liu Yufang Zhang Ruiming Xiao |
| author_facet | Ying Zhang Xiaobin Dong Xuechao Wang Peng Zhang Mengxue Liu Yufang Zhang Ruiming Xiao |
| author_sort | Ying Zhang |
| collection | DOAJ |
| description | The electric power industry is one of the major industries in terms of carbon dioxide (CO<sub>2</sub>) 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 CO<sub>2</sub> emissions from coal-fired power generation at the 1 kWh standard were 973.38 g, while the total CO<sub>2</sub> 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. |
| first_indexed | 2024-03-11T09:45:43Z |
| format | Article |
| id | doaj.art-1704b173fb314882bec5e607128b786b |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T09:45:43Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-1704b173fb314882bec5e607128b786b2023-11-16T16:36:21ZengMDPI AGEnergies1996-10732023-01-01163135710.3390/en16031357The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power IndustryYing Zhang0Xiaobin Dong1Xuechao Wang2Peng Zhang3Mengxue Liu4Yufang Zhang5Ruiming Xiao6State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaFaculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, ChinaThe electric power industry is one of the major industries in terms of carbon dioxide (CO<sub>2</sub>) 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 CO<sub>2</sub> emissions from coal-fired power generation at the 1 kWh standard were 973.38 g, while the total CO<sub>2</sub> 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.https://www.mdpi.com/1996-1073/16/3/1357low-carbon modelhuman well-beingcarbon footprintlife cycle assessmenthierarchical analysis method |
| spellingShingle | Ying Zhang Xiaobin Dong Xuechao Wang Peng Zhang Mengxue Liu Yufang Zhang Ruiming Xiao The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry Energies low-carbon model human well-being carbon footprint life cycle assessment hierarchical analysis method |
| title | The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry |
| title_full | The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry |
| title_fullStr | The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry |
| title_full_unstemmed | The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry |
| title_short | The Relationship between the Low-Carbon Industrial Model and Human Well-Being: A Case Study of the Electric Power Industry |
| title_sort | relationship between the low carbon industrial model and human well being a case study of the electric power industry |
| topic | low-carbon model human well-being carbon footprint life cycle assessment hierarchical analysis method |
| url | https://www.mdpi.com/1996-1073/16/3/1357 |
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