Carbon Quota Mechanism Design of Provincial Power Generation Industry under the Background of Carbon Peaking

doi:10.12204/j.issn.1000-7229.2022.12.008

Abstract

Abstract:

In order to successfully achieve the goal of carbon peaking and accelerate the process of carbon emission reduction, a carbon quota mechanism of the provincial power generation industry under the background of carbon peaking is designed in this paper. According to the documents issued by the government to convey emission reduction targets, a model of total annual quotas in the context of carbon peaking is established, and a monthly quota model of the power generation industry is constructed on the basis of the proportion of carbon emissions in the industry. A reasonable quota mechanism is established to issue the total amount. A distribution method that combines paid quotas and gratuitous quotas is designed. The responsibilities and specific processes of each participant in the quota determination and issuance process are clarified. Finally, taking Shandong Province as an example, the simulated unit system is used to simulate the designed distribution mechanism to verify the implementability and effectiveness of the proposed model and mechanism.

Key words: carbon peaking, carbon allowance, power generation industry, auction market, gratuitous distribution

CLC Number:

TM732

LI Xuerui, FU Xueqian, LI Guodong. Carbon Quota Mechanism Design of Provincial Power Generation Industry under the Background of Carbon Peaking[J]. ELECTRIC POWER CONSTRUCTION, 2022, 43(12): 74-82.

Figures/Tables 17

Fig.1 Timing chart of auction market transaction

Fig.2 Deals under rule 1

Fig.3 Deals under rule 2

Fig.4 Deals under rule 3

Fig.5 Deals under rule 4

Table 1 Classification of units

Table 2 Distribution coefficients of different types of units

Fig.6 Flowchar of carbon allowance issuance

Table 3 Monthly power generation in Shandong Province

Table 4 onthly carbon quotas for the power generation industry in Shandong Province

Table 5 Unit Data of each bus

Table 6 Free quota for each unit

Table 7 Declaration data of each unit

Fig.7 Transaction price on the trading days referred

Table 8 The unit transaction situation

Table 9 Results of the deal for different auction floor prices

Table 10 The total quota of each unit

References 26

[1]	魏震波, 马新如, 郭毅, 等. 碳交易机制下考虑需求响应的综合能源系统优化运行[J]. 电力建设, 2022, 43(1): 1-9. doi: 10.12204/j.issn.1000-7229.2022.01.001
	WEI Zhenbo, MA Xinru, GUO Yi, et al. Optimized operation of integrated energy system considering demand response under carbon trading mechanism[J]. Electric Power Construction, 2022, 43(1): 1-9. doi: 10.12204/j.issn.1000-7229.2022.01.001
[2]	尚楠, 陈政, 卢治霖, 等. 电力市场、碳市场及绿证市场互动机理及协调机制[J/OL]. 电网技术, 2022,(2022-08-26) [2022-09-13]. https://doi.org/10.13335/j.1000-3673.pst.2022.0375.
	SHANG Nan, CHEN Zheng, LU Zhilin, et al. Interaction principle and cohesive mechanism of electricity market, carbon market and green power certificate market[J/OL]. Power System Technology, 2022,(2022-08-26) [2022-09-13]. https://doi.org/10.13335/j.1000-3673.pst.2022.0375.
[3]	王科, 刘永艳. 2020年中国碳市场回顾与展望[J]. 北京理工大学学报(社会科学版), 2020, 22(2): 10-19.
	WANG Ke, LIU Yongyan. China’s carbon market: reviews and prospects for 2020[J]. Journal of Beijing Institute of Technology (Social Sciences Edition), 2020, 22(2): 10-19.
[4]	袁开福, 吴光强, 何波, 等. 碳交易下考虑质量升级的再制造供应链定价[J]. 计算机集成制造系统, 2022, 28(5): 1586-1602.
	YUAN Kaifu, WU Guangqiang, HE Bo, et al. Pricing of remanufacturing supply chain considering quality upgrading under carbon trading[J]. Computer Integrated Manufacturing Systems, 2022, 28(5): 1586-1602.
[5]	代应, 戴佳宏, 宋寒, 等. 碳交易下驱动企业碳减排的碳配额机制[J/OL]. 计算机集成制造系统, 2022(2022-07-28) [2022-09-13]. http://kns.cnki.net/kcms/detail/11.5946.TP.20220124.1953.012.html.
	DAI Ying, DAI Jiahong, SONG Han, et al. Carbon quota mechanism to drive carbon emission reduction of enterprises under carbon trading[J/OL]. Computer Integrated Manufacturing Systems, 2022(2022-07-28) [2022-09-13]. http://kns.cnki.net/kcms/detail/11.5946.TP.20220124.1953.012.html.
[6]	令狐大智, 武新丽, 叶飞. 考虑双重异质性的碳配额分配及交易机制研究[J]. 中国管理科学, 2021, 29(3): 176-187.
	LINGHU Dazhi, WU Xinli, YE Fei. Carbon quota allowance & trading mechanism considering double heterogeneity[J]. Chinese Journal of Management Science, 2021, 29(3): 176-187.
[7]	崔春岳, 张令荣, 杨子凡, 等. 碳配额交易政策下基于收益共享契约的两阶段供应链协调[J]. 中国管理科学, 2021, 29(7): 214-226.
	CUI Chunyue, ZHANG Lingrong, YANG Zifan, et al. Two-stage supply chain coordination based on revenue sharing contract under carbon cap-and-trade[J]. Chinese Journal of Management Science, 2021, 29(7): 214-226.
[8]	张李浩, 董款, 张荣. 基于碳配额交易和减排技术的供应链策略选择[J]. 中国管理科学, 2019, 27(1): 63-72.
	ZHANG Lihao, DONG Kuan, ZHANG Rong. Strategic choice analysis for supply chain in ‘cap and trade’ system and carbon emission reduction technology[J]. Chinese Journal of Management Science, 2019, 27(1): 63-72.
[9]	YUAN J, MA J, YANG W. Revenue-sharing contract for supply chain under a cap and trade system[C] // International Conference on Logistics, Informatics and Service Sciences. IEEE, 2017:1-6.
[10]	DU S, MA F, FU Z, et al. Game-theoretic analysis for an emission-dependent supply chain in a ‘cap-and-trade’ system[J]. Annals of Operations Research, 2015, 228(1): 135-149. doi: 10.1007/s10479-011-0964-6 URL
[11]	胡东滨, 肖晨曦. 基于产量碳配额分配对竞争性闭环供应链定价及回收影响研究[J]. 工业技术经济, 2016, 35(9): 52-59.
	HU Dongbin, XIAO Chenxi. Research of carbon quotas’ charge impact on competitive closed-loop supply chain’ s price and recycling[J]. Journal of Industrial Technological & Economics, 2016, 35(9): 52-59.
[12]	DU S F, HU L, SONG M L. Production optimization considering environmental performance and preference in the cap-and-trade system[J]. Journal of Cleaner Production, 2016, 112: 1600-1607. doi: 10.1016/j.jclepro.2014.08.086 URL
[13]	国务院. 国务院关于印发2030年前碳达峰行动方案的通知[J]. 中华人民共和国国务院公报, 2021(31): 48-58.
	GUO Wuyuan. Circular of the state council on printing and issuing the action plan for carbon dioxide peaking before 2030[J]. Gazette of the State Council of the People’s Republic of China, 2021(31): 48-58.
[14]	田云, 林子娟. 巴黎协定下中国碳排放权省域分配及减排潜力评估研究[J]. 自然资源学报, 2021, 36(4): 921-933.
	TIAN Yun, LIN Zijuan. Provincial distribution of China’s carbon emission rights and assessment of its emission reduction potential under the Paris Agreement[J]. Journal of Natural Resources, 2021, 36(4): 921-933. doi: 10.31497/zrzyxb.20210409 URL
[15]	王勇, 程瑜, 杨光春, 等. 2020和2030年碳强度目标约束下中国碳排放权的省区分解[J]. 中国环境科学, 2018, 38(8): 3180-3188.
	WANG Yong, CHENG Yu, YANG Guangchun, et al. Provincial decomposition of China’s carbon emission rights under the constraint of 2020 and 2030 carbon intensity targets[J]. China Environmental Science, 2018, 38(8): 3180-3188.
[16]	周迪, 郑楚鹏, 华诗润, 等. 公平与效率协调视角下的中国碳减排潜力与路径[J]. 自然资源学报, 2019, 34(1): 80-91.
	ZHOU Di, ZHENG Chupeng, HUA Shirun, et al. The potentialities and paths of China’s carbon emission reduction based on the coordination of fairness and efficiency[J]. Journal of Natural Resources, 2019, 34(1): 80-91. doi: 10.31497/zrzyxb.20190107 URL
[17]	省生态环境厅关于印发《湖北省2020年度碳排放权配额分配方案》的通知[EB/OL]. (2021-09-17)[2022-07-28]. .
[18]	张凯新. 我国省域碳排放权配额分配研究[D]. 东营: 中国石油大学(华东), 2017.
	ZHANG Kaixin. Research on provincial allocation of carbon emission permit allowances in China[D]. Dongying: China University of Petroleum (Huadong), 2017.
[19]	张小平. 排放权配额拍卖规则的域外经验与中国模式[J]. 地方立法研究, 2019, 4(2): 70-90.
	ZHANG Xiaoping. The foreign experience and Chinese pattern of auction design of emission allowances[J]. Local Legislation Journal, 2019, 4(2): 70-90.
[20]	陈惠珍. 中国碳排放权交易监管法律制度研究[M]. 北京: 社会科学文献出版社, 2017.
[21]	关于印发《2019-2020年全国碳排放权交易配额总量设定与分配实施方案(发电行业)》《纳入2019-2020年全国碳排放权交易配额管理的重点排放单位名单》并做好发电行业配额预分配工作的通知[EB/OL]. (2020-12-30) [2022-07-28]. https://www.mee.gov.cn/xxgk2018/xxgk/xxgk03/202012/t20201230_815546.html.
[22]	平新乔, 郑梦圆, 曹和平. 中国碳排放强度变化趋势与“十四五”时期碳减排政策优化[J]. 改革, 2020(11): 37-52.
	PING Xinqiao, ZHENG Mengyuan, CAO Heping. The change trend of carbon emission intensity in China and the policy optimization of carbon emission reduction during the 14th five-year plan period[J]. Reform, 2020(11): 37-52.
[23]	张成, 史丹, 李鹏飞. 中国实施省际碳排放权交易的潜在成效[J]. 财贸经济, 2017, 38(2): 93-108.
	ZHANG Cheng, SHI Dan, LI Pengfei. Potential effect simulation of carbon trading in China[J]. Finance & Trade Economics, 2017, 38(2): 93-108.
[24]	CEADs中国碳核算数据库的历史数据[Z/OL]. [2022-07-28]. https://www.ceads.net/.
[25]	李梦. 考虑碳市场的我国电源结构和电力市场研究[D]. 北京: 华北电力大学, 2020.
	LI Meng. Research on China’s power structure and power market considering carbon market[D]. Beijing: North China Electric Power University, 2020.
[26]	湖北碳排放权交易中心的历史交易数据[Z/OL]. [2022-07-28]. http://www.hbets.cn/list/14.html.