Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract: In the era of digital economy, digital technology is the best tool to achieve China’s goal of carbon neutrality. The energy industry is the largest source of carbon emissions in China, and how to use digital technology to peak the carbon dioxide emissions and achieve carbon neutrality goal in energy industry has attracted widespread attention. The article first explains the important strategic role of digital technology in carbon neutrality, and then analyzes the related theoretical research and application progress of digital technology and carbon emission reduction in the literature, revealing the problems of current digital technology applied to carbon neutrality in energy industry. Finally, the article puts forward the general guidelines of digital technology to promote China’s carbon neutrality process, as well as the main path of implementation of digital technologies, such as big data, digital twins, artificial intelligence, and blockchain, to assist the realization of carbon neutrality goal in China’s energy industry.
Subjects: Statistics >> Social Statistics submitted time 2024-03-27 Cooperative journals: 《中国科学院院刊》
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.