Open Access
Issue
E3S Web of Conf.
Volume 406, 2023
2023 9th International Conference on Energy Materials and Environment Engineering (ICEMEE 2023)
Article Number 03046
Number of page(s) 6
Section Pollution Control and Ecosystem Management
DOI https://doi.org/10.1051/e3sconf/202340603046
Published online 31 July 2023
  1. Ji L., Liang S., Qu S., Zhang Y., Xu, M., Jia X., Jia Y.; Niu D., Yuan J., Hou Y., et al. Greenhouse gas emission factors of purchased electricity from interconnected grids. Appl. Energy 2016, 184, 751–758. http://dx.doi.org/10.1016/j.apenergy.2015.10.065 [CrossRef] [Google Scholar]
  2. Li Y.F., Li Y.P., Huang G.H., Zheng R.B. Inter-Provincial Electricity Trading and Its Effects on Carbon Emissions from the Power Industry, Energies 2022, 15, 3601. https://doi.org/10.3390/en15103601. [CrossRef] [Google Scholar]
  3. Feng T.T. Coupling induction analyais model of tradable green certificates and carbon emission trading acting on electricity market in China. [D], North China Electric Power University (Beijing), 2016. Doi: 10.3969/j.issn.003-2355.2020.09.004. [Google Scholar]
  4. Liu Y., Liu J.C., Yang Y.Y. Research on the Decision-making Behavior of Various Entities in the Carbon-electricity Integration Market Considering the EU Carbon Border Adjustment Mechanism. Power System Technology. 1-12 [2023-06-14]. [Google Scholar]
  5. Guiding Opinions on Further Promoting Electric Energy Substitution: Development and Reform of Energy, The National Development and Reform Commission, the National Energy Administration, and the Ministry of Industry and Information Technology, etc.〔2022〕353, [Google Scholar]
  6. Peng J.Q., Jin C.X., Chen X.T., Ni Y.L. Research on the Interaction Mechanism between China’s Electricity Market and the National Carbon Emission Trading Market. China Energy, 2020, 42(09): 20-24+47. [Google Scholar]
  7. Song Y., Lin C.Y., Liang G.Q., Zhao J.H. Assessing the Impacts of Large-scale Offshore Wind Power Integration on Carbon Emission Reduction in Guangdong Province Based on Electricity Spot Market Simulation. Journal of Global Energy Interconnection, 2096-5125 (2020) 04-0363-11. 10.19705/j.cnki.issn2096-5125.2020.04.005 [Google Scholar]
  8. Du J., Wan Y.Q., Zhang H.W. Study progress in practice and theory of clean development mechanism(CDM) [J]. Environmental Protection Science, 2007(04):121-124. DOI: 10.16803/j.cnki.issn.1004-6216.2007.04.038. [Google Scholar]
  9. Lan Z., Jiang C.W., Gu J.T., Wen F.S., Yang K., Wang K. Optimal Dispatch and DemandResponse Strategies of Data Centers for Promoting Accommodation ofRenewable Energy Generation andReducing Carbon Emission, 2022,43(04):1-9. DOI: 10.12204/j.issn.1000-7229.2022.04.001 [Google Scholar]
  10. Hu Z.L., Luo Y.C., Cai H. Method for Carbon Emission Measurement and Carbon Reduction Path of Urban Power Sector. Journal of Shanghai Jiaotong University. 1-12[2023-05-05]. DOI: 10.16183/j.cnki.jsjtu.2022.222. [Google Scholar]
  11. Zhang Y., Chen H.Y., Guan Y. Lu X.Y., Xia J.Y., Sun J.Y. Electricity spot trading model considering carbon emission allowance based on blockchain technology. Electrical Measurement & Instrumentation. 2022, 59(07): 114-121. DOI: 10.19753/j.issn1001-1390.2022.07.016. [Google Scholar]
  12. Pei F.Q., Cui J.R., Dong C.J., et al. The Research Field and Current State-of-art of Blockchain in Distributed Power Trading. Proceedings of the CSEE, 2021, 41(05): 1752-1771. [Google Scholar]
  13. Jin K.Y., Yang J.H., Chen Z., Wang W.Z., Hou B., Xue W.J. Blockchain-based Transaction Model of Distributed Photovoltaic Generation for Local Power Consumption, Electric Power, 2021, 54(05): 8-16. [Google Scholar]
  14. Yin S.R., Ai Q., Song P., Zhao J.L., Zuo J. Guo Q.L. Research and Prospect of Hierarchical Interaction Mode and Trusted Transaction Framework for Virtual Power Plant. Automation of Electric Power Systerm, 2022, 46(18): 118-128. DOI: 10.7500/AEPS20220412001. [Google Scholar]
  15. Zhang Y., Chen H.Y., Guan Y., Lu X.Y., Xia J.Y., Sun J.Y. Electricity spot trading model considering carbon emission allowance based on blockchain technology, Electrical Measurement & Instrumentation, 2022, 59(07):114-121. DOI: 10.19753/j.issn1001-1390.2022.07.016. [Google Scholar]
  16. Li B. , Qin Q.Y. , Qi B. , et al . Design of distributed energy trading scheme based on blockchain. Power System Technology , 2019 , 43(3):961-972. [Google Scholar]
  17. Zhang Y.,Liu D. Research on security problem in block chain.Digital Technology and Application,2017(8):199-200. [Google Scholar]
  18. Tang Y.C., Liu T.T., Liu G.Y., Li Z.H., Cheng G.Y., Yang T.L. Park electricity carbon emission accounting system. DISTRIBUTION & UTILIZATION, 2022, 39(10):36-43. [Google Scholar]

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