Intelligentization helps the green and energy-saving transformation of power industry-evidence from substation engineering in China

• Published in: Scientific reports Vol. 14; no. 1; pp. 8698 - 14
• Main Authors: Liang, Minxin, Liu, Lingzi, Liang, Weigao, Mi, Wei, Ye, Kaihui, Gao, Jie
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 15.04.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 704/844/4066; 704/844/4066/4068; Economics; Electric power; Electrical transmission; Electricity distribution; Energy conservation; Energy transformation; Engineering; Environmental monitoring; Green energy; Humanities and Social Sciences; Intelligence; Intelligent technologies; multidisciplinary; Renewable energy; Science; Science (multidisciplinary); Substation design; Sustainable development; Sustainable urban ecology; China; Substation design; Energy transformation; Sustainable urban ecology; Intelligent technologies; Renewable energy
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-59271-5

The coordinated development of intelligence and greening is an intrinsic demand for high-quality economic and social development. Intelligentization and greening are the leading directions of sustainable development of the power industry. This paper directs of sustainable development of the power industry. This paper empirically analyzes the effect and mechanism of intelligence on the green environmental friendliness of electric power substations by using a panel fixed-effects model and instrumental variable regression, using substation engineering data from China southern power grid during 2013–2022. It is found that the level of intelligence significantly promotes the green performance of substation projects, and this conclusion still holds after a series of robustness tests. Intelligence can reduce material waste and pollutant emissions by improving the engineering environmental monitoring capability and the refinement of engineering resource control, thus improving the environmental friendliness of the project. The research in this paper helps to promote the integrated development of intelligent and green power engineering, to better achieve economic and green goals.