陈晓红,唐润成,胡东滨,徐雪松,唐湘博,易国栋,张威威.电力企业数字化减污降碳的路径与策略研究[J].中国科学院院刊,2024,39(2):298-310.

电力企业数字化减污降碳的路径与策略研究

Path and strategy of pollution and carbon reduction by digitization in electric power enterprises
作者
陈晓红1,2
湖南工商大学 前沿交叉学院 长沙 410205;中南大学 商学院 长沙 410083
CHEN Xiaohong1,2
School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China;Business School, Central South University, Changsha 410083, China
唐润成2
中南大学 商学院 长沙 410083
TANG Runcheng2
Business School, Central South University, Changsha 410083, China
胡东滨2*
中南大学 商学院 长沙 410083
HU Dongbin2*
Business School, Central South University, Changsha 410083, China
徐雪松1
湖南工商大学 前沿交叉学院 长沙 410205
XU Xuesong1
School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
唐湘博1
湖南工商大学 前沿交叉学院 长沙 410205
TANG Xiangbo1
School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
易国栋1
湖南工商大学 前沿交叉学院 长沙 410205
YI Guodong1
School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
张威威1
湖南工商大学 前沿交叉学院 长沙 410205
ZHANG Weiwei1
School of Advanced Interdisciplinary Studies, Hunan University of Technology and Business, Changsha 410205, China
中文关键词
         数字化;减污;降碳;电力行业;路径;策略
英文关键词
        digitization;pollution reduction;carbon reduction;power industry;pathways;strategies
中文摘要
        随着数字技术在能源领域的广泛应用和创新,数字技术对电力行业实现减污降碳目标的重要性日益凸显,数字技术如何赋能电力企业实现减污降碳目标备受关注。文章首先梳理分析了电力企业减污降碳中数字技术应用进展;然后揭示了现有数字技术应用于电力行业减污降碳存在的问题;最后探究了物联网和大数据、人工智能、区块链、数字孪生等新兴数字技术赋能电力企业减污降碳的方法路径及相应的实现策略。
英文摘要
        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.
DOI10.16418/j.issn.1000-3045.20230724003
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