Power enterprises-oriented carbon footprint verification system using edge computing and blockchain
The purpose is to study the Carbon Footprint (CF) verification system of power enterprises, promote the Low-Carbon Economy (LCE) in the power industry, and improve resource utilization during Energy Conservation and Emission Reduction (ECER). The Carbon Dioxide Emission (CDE) of power enterprises is...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2023-01-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.989221/full |
| _version_ | 1797956181283569664 |
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| author | Jizheng Xue YouRui Xu Yun Yang |
| author_facet | Jizheng Xue YouRui Xu Yun Yang |
| author_sort | Jizheng Xue |
| collection | DOAJ |
| description | The purpose is to study the Carbon Footprint (CF) verification system of power enterprises, promote the Low-Carbon Economy (LCE) in the power industry, and improve resource utilization during Energy Conservation and Emission Reduction (ECER). The Carbon Dioxide Emission (CDE) of power enterprises is explored based on the CF. First, Edge Computing (EC) is adopted to calculate the direct Carbon Dioxide Emission (CDE) of the Chinese power industry from 2005 to 2020 based on energy input. The direct CDE and the changing trend are analyzed. On this basis, Blockchain Technology (BCT) is employed to quantify the indirect CDEs of power enterprises’ energy consumption. A comprehensive analysis is made of the changing trend and circulation of the total CF of power enterprises based on the direct and indirect CDEs. The data show that the proportion of direct and indirect CDEs in total CF gradually decreases and increases. The results show that the power industry should increase the proportion of clean power in the power industry, control the CDEs from the source, and improve energy utilization to optimize the CF verification. |
| first_indexed | 2024-04-10T23:46:03Z |
| format | Article |
| id | doaj.art-8eb98ef15a194a47ac26cc9d5ecaa2a3 |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-04-10T23:46:03Z |
| publishDate | 2023-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-8eb98ef15a194a47ac26cc9d5ecaa2a32023-01-11T04:29:47ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.989221989221Power enterprises-oriented carbon footprint verification system using edge computing and blockchainJizheng Xue0YouRui Xu1Yun Yang2Tellhow Software Co. Ltd, Xi’an, ChinaState Grid Qinghai Electric Power Company Haixi Power Supply Company, Qinghai, ChinaTellhow Software Co. Ltd, Shanghai, ChinaThe purpose is to study the Carbon Footprint (CF) verification system of power enterprises, promote the Low-Carbon Economy (LCE) in the power industry, and improve resource utilization during Energy Conservation and Emission Reduction (ECER). The Carbon Dioxide Emission (CDE) of power enterprises is explored based on the CF. First, Edge Computing (EC) is adopted to calculate the direct Carbon Dioxide Emission (CDE) of the Chinese power industry from 2005 to 2020 based on energy input. The direct CDE and the changing trend are analyzed. On this basis, Blockchain Technology (BCT) is employed to quantify the indirect CDEs of power enterprises’ energy consumption. A comprehensive analysis is made of the changing trend and circulation of the total CF of power enterprises based on the direct and indirect CDEs. The data show that the proportion of direct and indirect CDEs in total CF gradually decreases and increases. The results show that the power industry should increase the proportion of clean power in the power industry, control the CDEs from the source, and improve energy utilization to optimize the CF verification.https://www.frontiersin.org/articles/10.3389/fenrg.2022.989221/fulledge computingblockchainpower enterprisescarbon footprintcarbon footprint verification |
| spellingShingle | Jizheng Xue YouRui Xu Yun Yang Power enterprises-oriented carbon footprint verification system using edge computing and blockchain Frontiers in Energy Research edge computing blockchain power enterprises carbon footprint carbon footprint verification |
| title | Power enterprises-oriented carbon footprint verification system using edge computing and blockchain |
| title_full | Power enterprises-oriented carbon footprint verification system using edge computing and blockchain |
| title_fullStr | Power enterprises-oriented carbon footprint verification system using edge computing and blockchain |
| title_full_unstemmed | Power enterprises-oriented carbon footprint verification system using edge computing and blockchain |
| title_short | Power enterprises-oriented carbon footprint verification system using edge computing and blockchain |
| title_sort | power enterprises oriented carbon footprint verification system using edge computing and blockchain |
| topic | edge computing blockchain power enterprises carbon footprint carbon footprint verification |
| url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.989221/full |
| work_keys_str_mv | AT jizhengxue powerenterprisesorientedcarbonfootprintverificationsystemusingedgecomputingandblockchain AT youruixu powerenterprisesorientedcarbonfootprintverificationsystemusingedgecomputingandblockchain AT yunyang powerenterprisesorientedcarbonfootprintverificationsystemusingedgecomputingandblockchain |