Key Technologies and Practical Verification of Carbon Emission Reduction in the Whole Chain of Green Operation of Power Transmission and Transformation Projects

Tianchao Huang, Jian Wu, Hong Ding, Xiang Lin, Xiaoyuan Liu, Jianrong Wang, Guangze Zhu, Ti Liu, Zhengming Ye and Cong Chen

GBP Proceedings Series, 2025, vol. 7, issue None, 78-83

Abstract: This paper presents key technologies for carbon emission reduction across the entire chain of green operation in power transmission and transformation projects. Based on the actual conditions of the Zhejiang power grid, an integrated carbon reduction control system is established, incorporating intelligent perception, data processing, and decision optimization layers. By leveraging IoT, digital twin, blockchain, and advanced optimization algorithms, the system enables dynamic monitoring, modeling, early warning, and collaborative optimization of carbon emissions. Practical applications in typical projects demonstrate significant reductions in operational carbon emissions and substantial economic and social benefits. Looking forward, the deeper integration of artificial intelligence and big data technologies will further enhance the intelligence and automation of carbon reduction strategies, supporting the achievement of China's dual carbon goals.

Keywords: power transmission and transformation; green operation; carbon emission reduction; digital twin; blockchain; intelligent optimization; life cycle assessment (search for similar items in EconPapers)
Date: 2025
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