LCOE Calculation Method Based on Carbon Cost Transmission in an “Electricity-Carbon” Market Environment
DOI:
https://doi.org/10.13052/spee1048-5236.4244Keywords:
Electricity market, carbon market, carbon cost transmission rate, levelised electrical energy costsAbstract
The current Chinese electricity market and carbon market are built relatively independently, without coupling and synergy, and the incoherence between the two markets is beginning to emerge. Carbon emissions costs in the carbon trading market will affect the marginal cost of renewable energy and thermal power in the electricity market, limiting market participants’ profitability. In order to simulate and evaluate the changes of LCOE of renewable energy and thermal power in the “electricity-carbon” market environment, this paper presents the calculation method of carbon emission cost of thermal power and CCER benefit of renewable energy based on the relevant regulations in China, and calculates the carbon emission cost transmission rate of thermal power based on Cournot model. In addition, we proposed a method for calculating the LCOE based on the international common calculation method for LCOE, combined with China’s taxation policy and the cost and benefit factors of renewable energy and thermal power in the carbon market, and proposed a method for calculating the LCOE applicable to the “electricity-carbon” market environment in China. The findings indicate that as a result of the influence of the carbon market, the levelized cost of energy (LCOE) cost of thermal power will increase, and the profitability of thermal power in the electricity market will be further reduced. On the other hand, the LCOE cost of renewable energy will further decrease, and its profitability will improve due to the additional CCER benefits in the carbon market.
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References
Sijm J, Hers S, Lise W, et al. The impact of the EU ETS on electricity prices [R/OL].2008 [2020-01-01].
Natalia Fabra, Mar Reguant. Pass-Through of Emissions Costs in Electricity Markets[J]. American Economic Review, 2014, 104(9).
Pierre-André Jouvet, Boris Solier. An overview of CO2
cost pass-through to electricity prices in Europe[J]. Energy Policy, 2013, 61.
Liliya C. Modelling CO2
price pass-through in imperfectly competitive power markets [R/OL]. 2007 [2020-01-01].
Beat H. Pass-through of CO2
emission costs to hourly electricity prices in Germany [J]. Journal of the Association of Environmental & Resource Economists, 2016, 3 (4): 857–891.
Li Xuehui, Feng Yongsheng,and Guan Shijie. “ Theoretical Implications and research Paradigm of carbon cost Transmission.” Learning and Exploration. 10(2022): 138–148+
Murphy, F., Smeers, Y., 2010. Withholding investments in energy-only markets: can contracts make a difference Working Paper. Universite’ Catholique Louvain-la-Neuve, Belgium.
Hansen, E., 2010. Essays in Electricity Market Modelling. PhD dissertation submitted to the Faculty of Social Sciences, Aarhus University, Copenhagen, Denmark.
Gulli, F., 2008. Modelling the short-run impact of “carbon trading” on the electricity sector. In: Gulli, F. (Ed.), Markets for Carbon and Power Pricing in Europe-Theoretical issues and empirical analyses. Edward Elgar, Cheltenham, UK, Northampton, MA, USA, pp. 36–79.
Shuai Yunfeng, Zhou Chunlei, Li Meng, Hu Junfeng, Wang Peng. Study on the coupling mechanism between carbon trading market and electricity market in the United States - taking the Regional Greenhouse Gas Reduction Initiative (RGGI) as an example[J]. Power Construction, 2018, 39(07): 41–47.
Wang Y, Wu Jiexuan. Analysis of the impact of the interaction between the carbon emission rights market and the medium- and long-term electricity market[J]. Journal of Power Systems and their Automation, 2020, 32(10): 44–54.
He Jiao, Ye Ze. Fundamentals and equilibrium model of carbon cost transmission in the power industry[J]. Ecological Economics, 2019, 35(09): 45–49.
Zhao Changhong, Zhang Mingming, Wu Jianjun, Yuan Jiahai. Study on the coupling of carbon trading market and electricity market[J]. China Environmental Management, 2019, 11(04): 105–112.
Li, Jia-Long, Chen, Yu-Guo. Equilibrium analysis of electricity market considering the cost of carbon emissions[J]. Power Grid Technology, 2016, 40(05): 1558–1563.
Feng Tiantian. Analytical model study on the coupling effect of green certificate trading and carbon trading on electricity market [D]. North China University of Electric Power (Beijing), 2016.
Zhang Xiaolong, Du Songhuai. Equilibrium analysis of electricity market considering carbon emission price[J]. Smart Grid, 2015, 3(09): 818–822.
Wang Y, Wu Jiexuan. Analysis of the impact of the interaction between the carbon emission rights market and the medium- and long-term electricity market[J]. Journal of Power Systems and their Automation, 2020, 32(10): 44–54.
He, Chongkai, Gu, Alen. Carbon cost transmission principles, influencing factors and implications for China’s carbon trading market – taking the power sector as an example[J]. Advances in Climate Change Research, 2015, 11(03): 220–226.
Zhang Xiaolei, Cai Jianping, Yang Hongyuan. A preliminary study on the relationship between generic quality characteristics of wind turbines and levelized cost of electricity [J]. Wind Energy, 2021(02): 62–65.
Li Hao. The calculation method of levelized cost of electricity for wind farms applicable to China [A]. Editorial Department of Wind Energy Industry, Wind Energy Equipment Branch, China Agricultural Machinery Industry Association. Wind Energy Industry (March 2019) [C].: China Agricultural Machinery Industry Association Wind Machinery Branch, 2019:3.
Wu Rui, Zhang Jian, Zhao Changhong, Yuan Jiahai. Analysis of offshore wind power grid parity based on LCOE model[J]. China Energy, 2021, 43(02): 48–53.
Wei Shijie, Fan Jingli, Yang Yang, Jia Li, Zhang Xian. Comparison of the levelized cost of electricity for coal-fired power plants with carbon capture, utilization and storage technologies and new energy storage technologies[J]. Thermoelectricity, 2021, 50(01): 33–42.
Li Meng. Research on China’s power supply structure and electricity market considering carbon trading market [D]. North China Electric Power University (Beijing), 2020.
Sun Renjie. Research on the interactive operation of electricity market and carbon trading market based on hybrid simulation [D]. Nanjing Normal University, 2020.
Li R. Research on the synergistic model and effect evaluation of multiple policy systems for power carbon emission reduction [D]. North China Electric Power University (Beijing), 2019.
Peng Jikuan, Jin Chenxi. Study on the interaction mechanism between China’s electricity market and national carbon trading market[J]. China Energy, 2020, 42(09): 20–24+47.
Ji Bin, Sun Yi. Exploring the integration of carbon and electricity market trading with the goal of “double carbon” [J]. Huadian Technology, 2021, 43(06): 33–40.
Liu, Yang, Cui, Xue. Research on power generation rights trading considering optimal social benefits in an electricity-carbon linkage environment[J]. Electricity Measurement and Instrumentation, 2020, 57(13): 112–117+148.
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