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author:

Du, Xiaoli (Du, Xiaoli.) [1] | Liang, Kairong (Liang, Kairong.) [2] | Li, Dengfeng (Li, Dengfeng.) [3]

Indexed by:

EI Scopus PKU CSCD

Abstract:

As the priority industry brought into the carbon trading system in China, the power industry has become an important subject to achieve carbon emission reduction. As a new distributed ledger technology, the blockchain technology can effectively solve the problems of data security and operation efficiency in the carbon trading system. Based on the blockchain technology, this paper proposes a whole framework of the carbon trading system in the power industry. Based on the framework, this paper constructs the carbon quota cost decision-making model, the reward and penalty model of carbon emission reduction and the carbon trading matching model, to realize safe and efficient carbon trading. The emission reduction effort index is introduced as the process promoter and the link of the above three models. Finally, the effectiveness of the carbon trading system is verified by an example. The simulation design is also given, which shows that the carbon trading system based on blockchain can reduce costs, improve efficiency, and increase benefits. © 2020 Automation of Electric Power Systems Press.

Keyword:

Blockchain Carbon Cost reduction Decision making Efficiency Emission control Security of data

Community:

  • [ 1 ] [Du, Xiaoli]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Liang, Kairong]School of Economics and Management, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Li, Dengfeng]School of Management and Economics, University of Electronic Science and Technology of China, Chengdu; 611731, China

Reprint 's Address:

  • [li, dengfeng]school of management and economics, university of electronic science and technology of china, chengdu; 611731, china

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Source :

Automation of Electric Power Systems

ISSN: 1000-1026

CN: 32-1180/TP

Year: 2020

Issue: 19

Volume: 44

Page: 29-35

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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