E3S Web of Conferences (Jan 2024)

Research and application of carbon emission data sharing model based on privacy computing

  • Shi Ying,
  • Wang Lixing,
  • Ao Jin,
  • Song Jie,
  • Li Qian,
  • Zhang Xuesen

DOI
https://doi.org/10.1051/e3sconf/202452002026
Journal volume & issue
Vol. 520
p. 02026

Abstract

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In the context of the dual-carbon goal, improving the level of scientific and technological innovation of modern carbon emissions and achieving comprehensive green development are not only one of the trends and important reform directions of today’s world development, but also the core content of achieving sustainable development. Taking the power industry as an important breakthrough, this paper uses blockchain technology and privacy computing technology to integrate data from the government, power grid, taxation and banks, and proposes a blockchain-based privacy computing algorithm for carbon emission scores to create an execution environment for trusted sharing of carbon emission data, expand channels for carbon emission data collection, and give full play to the value of big data on carbon emissions. Promote the realization of dual carbon goals as soon as possible.