•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

digitization, pollution reduction, carbon reduction, power industry, pathways, strategies

Document Type

Policy & Management Research

Abstract

With the extensive application and innovation of digital technology in the energy sector, digital technology has become increasingly crucial for the power industry to achieve the goal of reducing pollution and carbon emissions. How digital technology enables electric power enterprises to achieve this goal has attracted much attention. Firstly, the study analyzes the progress of digital technology applications in pollution reduction and carbon reduction in electric power enterprises. Then, it identifies the existing problems in the current application of digital technology in the power industry for reducing pollution and carbon emissions. Finally, it explores the potential ways and approaches of emerging digital technologies such as the Internet of Things, big data, artificial intelligence, blockchain, and digital twins in enabling electric power enterprises to reduce pollution and carbon emissions, along with corresponding implementation strategies.

First page

298

Last Page

310

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 国际能源署.中国能源体系碳中和路线图.北京:国际能源署, 2022. International Energy Agency. Roadmap for carbon neutrality in China's energy system. Beijing:IEA, 2022.

2 陈军,肖雨彤.生态文明先行示范区建设如何助力实现""双碳""目标?——基于合成控制法的实证研究.中国地质大学学报(社会科学版), 2023, 23(1):87-101. Chen J, Xiao Y T. How does the construction of the Ecological Civilization Pilot Demonstration Zone help achieve the ""dual carbon"" goal?-An empirical study based on synthetic control method. Journal of China University of Geosciences (Social Sciences Edition), 2023, 23(1):87-101.(in Chinese)

3 艾瑞咨询集团.中国电力产业数字化研究报告.北京:艾瑞咨询集团, 2022. iResearch Consulting Group. Research Report on the Digitalization of China's Power Industry. Beijing:iResearch, 2022.

4 卫志农,余爽,孙国强,等.虚拟电厂的概念与发展.电力系统自动化, 2013, 37(13):1-9. Wei Z N, Yu S, Sun G Q, et al. Concept and development of virtual power plant. Automation of Electric Power Systems, 2013, 37(13):1-9.(in Chinese)

5 沈于.运用数字技术减排降碳.群众, 2022,(8):37-38. Shen Y. The use of digital technology to reduce emissions and carbon emissions. People, 2022,(8):37-38.(in Chinese)

6 许才,张平,刘春晖,等.基于大数据技术的多能互补能源体系优化管理//中国电力企业管理创新实践(2019年).北京:中国会议, 2020. Xu C, Zhang P, Liu C H, et al. Optimal management of multienergy complementary energy system based on big data technology//Innovation Practice of Management of China's Electric Power Enterprises (2019). Beijing:China Conference, 2020.

7 赛迪顾问股份有限公司.碳中和背景下数字技术赋能的中国新型电力系统白皮书.北京:赛迪顾问股份有限公司, 2022. CCID Consulting Company Limited. White Book of China's New Power System Empowered by Digital Technology in the Context of Carbon Neutrality. Beijing:CCID Consulting Company Limited, 2022.

8 祁文坤.大数据及可视化平台在电力企业中的应用.电子世界, 2016,(24):138. Qi W K. Application of big data and visualization platform in electric power enterprises. Electronic World, 2016,(24):138.(in Chinese)

9 陈晓红,胡东滨,曹文治,等.数字技术助推我国能源行业碳中和目标实现的路径探析.中国科学院院刊, 2021, 36(9):1019-1029. Chen X H, Hu D B,Cao W Z, et al. Path of digital technology promoting realization of carbon neutrality goal in China's energy industry. Bulletin of Chinese Academy of Sciences, 2021, 36(9):1019-1029.(in Chinese)

10 李硕,张建国,白泉,等. AI赋能园区降碳潜力分析研究.中国能源, 2022, 44(6):11-18. Li S, Zhang J G, Bai Q, et al. Analysis and research on carbon reduction potential of AI-enabled park. Energy of China, 2022, 44(6):11-18.(in Chinese)

11 孟明,商聪,马思源,等.基于区块链的综合能源系统低碳优化调度研究.华北电力大学学报(自然科学版), 2023, 50(3):67-80. Meng M, Shang C, Ma S Y, et al. Research on low-carbon scheduling of integrated energy system based on blockchain technology. Journal of North China Electric Power University (Natural Science Edition), 2023, 50(3):67-80.(in Chinese)

12 殷爽睿,艾芊,宋平,等.虚拟电厂分层互动模式与可信交易框架研究与展望.电力系统自动化, 2022, 46(18):118-128. Yin S R, Ai Q, Song P, et al. Research and prospect of hierarchical interaction mode and trusted transaction framework for virtual power plant. Automation of Electric Power Systems, 2022, 46(18):118-128.(in Chinese)

13 唐智星,何文武.智能电网建设中云计算大数据处理技术的应用.现代工业经济和信息化, 2023, 13(4):41-42. Tang Z X, He W W. Use of cloud computing big data processing technology in smart grid construction. Modern Industrial Economy and Informatization, 2023,13(4):41-42.(in Chinese)

14 王于鹤,王娟,邓良辰.""双碳""目标下能源行业数字化转型的思考与建议.中国能源, 2021, 43(10):47-52. Wang Y H, Wang J, Deng L C. Thoughts and suggestions on the digital transformation of energy industry under the goals of carbon peak and carbon neutralization. Energy of China, 2021, 43(10):47-52.(in Chinese)

15 李元丽.""双碳""目标驱动能源电力系统数字转型.人民政协报, 2023-02-14(06). Li Y L. The goal of ""dual carbon"" drives the digital transformation of energy and power systems. CPPCC Daily, 2023-02-14(06).(in Chinese)

16 苗长胜.我国电力企业数字化转型的探索与实践探析.四川文理学院学报, 2022, 32(1):69-74. Miao C S. Exploration and practice of digital transformation of electric power enterprises in China. Sichuan University of Arts and Science Journal, 2022, 32(1):69-74.(in Chinese)

17 国务院新闻办公室.新时代的中国能源发展.北京:国务院发展研究中心, 2020. State Council Information Office. China's Energy Development in the New Era. Beijing:Development Research Center of the State Council, 2020.(in Chinese)

18 张宁,李姚旺,黄俊辉,等.电力系统全环节碳计量方法与碳表系统.电力系统自动化, 2023, 47(9):2-12. Zhang N, Li Y W, Huang J H, et al. Carbon measurement method and carbon meter system for whole chain of power system. Automation of Electric Power Systems, 2023, 47(9):2-12.(in Chinese)

19 康重庆,杜尔顺,李姚旺,等.新型电力系统的""碳视角"":科学问题与研究框架.电网技术, 2022, 46(3):821-833. Kang C Q, Du E S, Li Y W, et al. Key scientific problems and research framework for carbon perspective research of new power systems. Power System Technology, 2022, 46(3):821-833.(in Chinese)

20 刘昱良,李姚旺,周春雷,等.电力系统碳排放计量与分析方法综述.中国电机工程学报, 2023, doi:10.13334/j.0258-8013.pcsee.223452. Liu Y L, Li Y W, Zhou C L, et al. A review of carbon emission measurement and analysis methods in power systems. Proceedings of the Chinese Society for Electrical Engineering, 2023, doi:10.13334/j.0258-8013.pcsee.223452.(in Chinese)

21 康重庆,杜尔顺,郭鸿业,等.新型电力系统的六要素分析.电网技术, 2023, 47(5):1741-1750. Kang C Q, Du E S, Guo H Y, et al. Primary exploration of six essential factors in new power system. Power System Technology, 2023, 47(5):1741-1750.

22 段凯,李竹,刘锋,等.浅析电力营销数据开放与共享安全治理.中国新通信, 2023, 25(2):125-127. Duan K, Li Z, Liu F, et al. Analysis on security governance of power marketing data opening and sharing security governance. China New Telecommunications, 2023, 25(2):125-127.(in Chinese)

Share

COinS