Blockchain-Based Whole-Chain Green Power Traceability
- DOI
- 10.2991/978-94-6463-198-2_140How to use a DOI?
- Keywords
- green power traceability; green power metering; blockchain; CP-ABE
- Abstract
Green power is developing rapidly in the low-carbon context, and the traditional green power traceability method has problems of management efficiency and transaction trust, which does not meet the current rapidly increasing green power traceability background. By adopting blockchain technology to chain the optimized green certificate issuance process and green power transaction data, the transparency and tamper-evident characteristics of blockchain transactions are used to improve the efficiency of green power data traceability and solve the trust and security problems existing in the process. The cryptographic blockchain technology based on cryptography is used to encrypt the privacy data design and realize the whole process traceability of the five links of green power preparation, access to the Internet, metering, trading and traceability.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaopeng Chen AU - Zhaomin Wang AU - Jinjing Cao AU - Hongwei Xing AU - Jianhui Zhang AU - Entang Li AU - Mingliang Mu AU - Chuankang Miu AU - Nianming Xue AU - Chonghao Xu PY - 2023 DA - 2023/08/10 TI - Blockchain-Based Whole-Chain Green Power Traceability BT - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023) PB - Atlantis Press SP - 1344 EP - 1352 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-198-2_140 DO - 10.2991/978-94-6463-198-2_140 ID - Chen2023 ER -