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Key Technologies for Data Collection, Modeling, and Sharing of Carbon Emissions from Electricity Consumption Based on Blockchain

  • Shanhong Lai,
  • Jiayan Wang,
  • Zehao Wang,
  • Shichao Huang,
  • Huipeng Wang,
  • Yao Hu,
  • Zhaokai Liang,
  • Hai Wang

摘要

In various stages of the entire lifecycle of energy production, transmission, storage, and use, the power system consumes a large amount of energy. Carbon emissions from electricity consumption are currently a hot topic of concern in the international community, but existing data sharing and collaboration mechanisms suffer from issues such as data authenticity, traceability, and security. Therefore, the article studies a key technology for data collection, modeling, and sharing of electricity carbon emissions process based on BCT (Blockchain Technology). The data generated during the carbon emission process of the power system can be managed throughout its lifecycle, achieving reliable storage and secure sharing of carbon emission process data in various stages of the power system. The highest values of reliability and safety are 93% and 97%, respectively.