Share:


Simulation research on carbon emissions trading based on blockchain

    Qing Zhou Affiliation
    ; Qi Zhang Affiliation

Abstract

Global warming caused by greenhouse gases is one of the problems that need to be solved urgently. Blockchain technology can achieve automatic quota certification and settlement, providing a new direction for carbon emissions trading. This paper provides a quantitative analysis of blockchain-based carbon emissions trading through the Repast simulation platform. Firstly, it designs the blockchain-based carbon emissions trading simulation framework from a macro perspective, including identity and quota certification, quota trading, risk prevention and smart contracts management. Then, it establishes a blockchain-based carbon emissions trading simulation model and formulates the behavior rules of the government, investors and company agents and market transaction processes. Finally, it simulates the carbon emissions trading based on public chain and private chain on the Repast platform, and analyzes the simulation results.

Keyword : blockchain, carbon emissions trading, time cost

How to Cite
Zhou, Q., & Zhang, Q. (2022). Simulation research on carbon emissions trading based on blockchain. Journal of Environmental Engineering and Landscape Management, 30(1), 1-12. https://doi.org/10.3846/jeelm.2022.15107
Published in Issue
Jan 6, 2022
Abstract Views
1199
PDF Downloads
883
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Al Kawasmi, E., Arnautovic, E., & Svetinovic, D. (2015). Bitcoin-based decentralized carbon emissions trading infrastructure model. Systems Engineering, 18(2), 115–130. https://doi.org/10.1002/sys.21291

Alkawasmi, E., Arnautovic, E., & Svetinovic, D. (2012). Requirements model for a high-privacy decentralized carbon emissions trading platform. In IEEE International Conference on Green Computing and Communications (pp. 450–453). IEEE. https://doi.org/10.1109/GreenCom.2012.71

Franke, L., Schletz, M., & Salomo, S. (2020). Designing a blockchain model for the Paris agreement’s carbon market mechanism. Sustainability, 12(3), 1068. https://doi.org/10.3390/su12031068

Fu, B., Shu, Z., & Liu, X. (2018). Blockchain enhanced emission trading framework in fashion apparel manufacturing industry. Sustainability, 10(4), 1105. https://doi.org/10.3390/su10041105

Green, J., & Newman, P. (2017). Citizen utilities: The emerging power paradigm. Energy Policy, 105, 283–293. https://doi.org/10.1016/j.enpol.2017.02.004

Hu, D. B., Li, C. F., & Cai, H. P. (2014). Carbon emission market modeling and simulation based on complex adaptive system theory. Open Cybernetics & Systemics Journal, 8(1), 1175–1182. https://doi.org/10.2174/1874110X01408011175

Ilic, D., Da Silva, P. G., Karnouskos, S., & Griesemer, M. (2012). An energy market for trading electricity in smart grid neighbourhoods. In 6th IEEE International Conference on Digital Ecosystems and Technologies (DEST) (pp. 1–6). IEEE. https://doi.org/10.1109/DEST.2012.6227918

Kong, C.-Y. (2012). Construction and Simulation of China’s carbon emission trading market. Wuyi University.

Lu, J., Song, B., Xiang, W.-H., & Zhou, Z.-M. (2017). Smart contract for electricity transaction and charge settlement based on blockchain. Computer Systems & Applications, 26(12), 43–50.

Mengelkamp, E., Gärttner, J., Rock, K., Kessler, S., Orsini, L., & Weinhardt, C. (2018). Designing microgrid energy markets: A case study: The Brooklyn Microgrid. Applied Energy, 210, 870–880. https://doi.org/10.1016/j.apenergy.2017.06.054

Nakamoto, S. (2008). Bitcoin: A peer-to-peer electronic cash system. Consulted. https://git.dhimmel.com/bitcoin-whitepaper/

National Development and Reform Commission. (2017). National carbon emission trading market construction program (Power Generation Industry) [EB/OL]. https://www.ndrc.gov.cn/xxgk/zcfb/ghxwj/201712/t20171220_960930.html

Pan, Y., Zhang, X., Wang, Y., Yan, J., Zhou, S., Li, G., & Bao, J. (2019). Application of blockchain in carbon trading. Energy Procedia, 158, 4286–4291. https://doi.org/10.1016/j.egypro.2019.01.509

Shanghai Development and Reform Commission. (2017). Shanghai carbon emission quota allocation scheme 2017 [EB/OL].

Shanghai Environmental Energy Exchange. (2015). Measures for risk control and management of carbon emission trading in Shanghai environmental energy exchange (Trial Implementation) [EB/OL].

Sikorski, J. J., Haughton, J., & Kraft, M. (2017). Blockchain technology in the chemical industry: Machine-to-machine electricity market. Applied Energy, 195, 234–246. https://doi.org/10.1016/j.apenergy.2017.03.039

Stranlund, J. K. (2007). The regulatory choice of noncompliance in emission trading programs. Environmental & Resource Economics, 38(1), 99–117. https://doi.org/10.1007/s10640-006-9058-3

Wu, J.-q. (2015). Carbon emission trading scheme exproation in China and impacts on China’s environment and economy: A multi-agent-based model. Beijing University of Chemical Technology.

Wu, Q. (2014). A study on carbon emissions trading market in Shanghai. Shanghai Jiaotong University.

Xie, H., & Wang, J. (2016). Study on block chain technology and its applications. Journal of Information Security Research, 16(9), 192–195. http://netinfo-security.org/EN/10.3969/j.issn.1671-1122.2016.09.038

Xu, M., & Tang, W.-W. (2014). Carbon market simulation system based on Java. Computer Systems and Applications, 23(6), 22–27.

Zeng, G., & Wan, Z.-h. (2010). Carbon emission trading: A summary of theory and application. Chinese Review of Financial Studies, 2(4), 54–67+124–125.

Zheng, Y.-h. (2016). Research on the pricing mechanism and price operation mechanism of carbon financial market. China University of Mining & Technology, Beijing.

Zhu, Y. (2016). Security architecture and key technologies of blockchain. Journal of Information Security Research, 2(12), 1090–1097. http://www.sicris.cn/EN/abstract/abstract199.shtml