Effect of Carbon Price Floor on Levelised Cost of Gas-Fired Generation Technology in the UK

The UK government implements carbon price floor to provide long-term incentive to invest in low-carbon technology, thus, fossil-fuel power plants have to face increasing carbon price. This report addresses the effect of carbon price floor on levelised cost of gas-fired generation technology through the levelised cost of electricity (LCOE) ap-proach with the estimation of carbon price floor. Finally, the comparison of levelised cost of electricity for all generation technology in the UK will be shown and discussed.

Carbon price impacts on sector cost:based on an input-output model of Beijing

Under the pressure of sustained growth in energy consumption in China,the implementation of a carbon pricing mechanism is an effective economic policy measure for promoting emission reduction,as well as a hotspot of research among scholars and policy makers.In this paper,the effects of carbon prices on Beijing's economy are analyzed using input-output tables.The carbon price costs are levied in accordance with the products'embodied carbon emission.By calculation,given the carbon price rate of 10 RMB/t-CO_2,the total carbon costs of Beijing account for approximately 0.22-0.40%of its gross revenue the same year.Among all industries,construction bears the largest carbon cost Among export sectors,the coal mining and washing industry has much higher export carbon price intensity than other industries.Apart from traditional energy-intensive industries,tertiary industry,which accounts for more than 70%of Beijing's economy,also bears a major carbon cost because of its large economic size.However,from 2007 to 2010,adjustment of the investment structure has reduced the emission intensity in investment sectors,contributing to the reduction of overall emissions and carbon price intensity.

Analysis of technology pathway of China's liquid fuel production with consideration of energy supply security and carbon price

Efforts to provide alternative resources and technologies for producing liquid fuel have recently been intensified.Different levels of dependence on oil imports and carbon prices have a significant impact on the composition of the cost-minimizing portfolio of technologies.Considering such factors,how should China plan its future liquid fuel industry?The model for supporting the technology portfolio and capacity configuration that minimizes the total system cost until 2045 is described in this study.The results obtained for different carbon prices and levels of dependence on oil import indicate that the oil-to-liquid fuel(OTL)will remain dominant in China's liquid fuel industry over the next three decades.If the carbon price is low,the coal-to-liquid fuel(CTL)process is competitive.For a high carbon price,the biomass-to-liquid fuel(BTL)technology expands more rapidly.The results also reveal that developing the BTL and CTL can effectively reduce the oil-import dependency;moreover,a high carbon price can lead to the CTL being replaced with the low-carbon technology(e.g.,BTL).Improvement in energy raw material conversion and application of CO_(2) removal technologies are also effective methods to control carbon emissions for achieving the carbon emission goals and ultimately emission reduction targets.

Collaborative robust dispatch of electricity and carbon under carbon allowance trading market

The launch of the carbon-allowance trading market has changed the cost structure of the power industry.There is an asynchronous coupling mechanism between the carbon-allowance-trading market and the day-ahead power-system dispatch.In this study,a data-driven model of the uncertainty in the annual carbon price was created.Subsequently,a collaborative,robust dispatch model was constructed considering the annual uncertainty of the carbon price and the daily uncertainty of renewable-energy generation.The model is solved using the column-and-constraint generation algorithm.An operation and cost model of a carbon-capture power plant(CCPP)that couples the carbon market and the economic operation of the power system is also established.The critical,profitable conditions for the economic operation of the CCPP were derived.Case studies demonstrated that the proposed low-carbon,robust dispatch model reduced carbon emissions by 2.67%compared with the traditional,economic,dispatch method.The total fuel cost of generation decreases with decreasing,conservative,carbon-price-uncertainty levels,while total carbon emissions continue to increase.When the carbon-quota coefficient decreases,the system dispatch tends to increase low-carbon unit output.This study can provide important guidance for carbon-market design and the low-carbon-dispatch selection strategies.

Optimal reduction and equilibrium carbon allowance price for the thermal power industry under China’s peak carbon emissions target

As the largest source of carbon emissions in China,the thermal power industry is the only emission-controlled industry in the first national carbon market compliance cycle.Its conversion to clean-energy generation technologies is also an important means of reducing CO_(2)emissions and achieving the carbon peak and carbon neutral commitments.This study used fractional Brownian motion to describe the energy-switching cost and constructed a stochastic optimization model on carbon allowance(CA)trading volume and emission-reduction strategy during compliance period with the Hurst exponent and volatility coefficient in the model estimated.We defined the optimal compliance cost of thermal power enterprises as the form of the unique solution of the Hamilton–Jacobi–Bellman equation by combining the dynamic optimization principle and the fractional It?’s formula.In this manner,we obtained the models for optimal emission reduction and equilibrium CA price.Our numerical analysis revealed that,within a compliance period of 2021–2030,the optimal reductions and desired equilibrium prices of CAs changed concurrently,with an increasing trend annually in different peak-year scenarios.Furthermore,sensitivity analysis revealed that the energy price indirectly affected the equilibrium CA price by influencing the Hurst exponent,the depreciation rate positively impacted the CA price,and increasing the initial CA reduced the optimal reduction and the CA price.Our findings can be used to develop optimal emission-reduction strategies for thermal power enterprises and carbon pricing in the carbon market.

Low Carbon Beijing:Research on the Influencing Factors of Carbon Emission Trading Price

The international community has taken extensive actions to achieve carbon neutrality and sustainable development with the intensification of global warming and climate change.China has also carried out a long-term layout,setting the goal of achieving a carbon peak by 2030 and carbon neutrality by 2060.In 2021,with the official launch of a unified national carbon emissions trading market,China’s nationwide carbon emissions trading kicked off.Carbon emission trading is an important policy tool for China’s carbon peak and carbon-neutral action and an essential part of the country’s promotion of a comprehensive green transformation of the economy and society.This study uses a VAR(Vector Autoregressive)model to analyze the influencing factors of the Beijing carbon emissions trading price from January 2014 to December 2019.The study found that coal prices have the most significant impact on Beijing’s carbon emissions trading prices.Oil prices,industrial development indexes,and AQI(Air Quality Index)impacted Beijing’s carbon emissions trading prices.In contrast,natural gas prices and economic indexes have the most negligible impact.These findings will help decision-makers determine a reasonable price for carbon emissions trading and contribute to the market’s healthy development.

蓝碳交易认证及运行机制的挑战与应对

重启全国温室气体自愿减排交易市场是蓝碳纳入自愿碳市场的重要契机,但蓝碳交易制度体系仍处在初步发展阶段,缺乏完善的配套措施。我国蓝碳交易制度仍然存在交易规则功能缺失、定价机制失范、交易方式欠缺和核查监管机制不足等问题。为保证蓝碳交易在法律规制下运行,构建公开、透明、可预期的蓝碳交易机制,应实现蓝碳交易的功能完善、规范定价机制,同时推动交易方式多元发展、健全核查机构监管机制以优化蓝碳交易运行机制,从而搭建蓝碳交易纳入自愿碳市场的规则体系。

Factors affecting the pilot trading market of carbon emissions in China

Climate change and carbon emissions are major problems which are attracting worldwide attention. China has had its pilot carbon emission trading markets in seven regions for more than 3 years. What affects carbon emission trading market in China is a big question. More attention is paid to how China promotes the carbon emission trading schemes in the whole country. This paper addresses concerns about the functioning of carbon emission trading schemes in seven pilot regions and takes the weekly data from November 25, 2013, to March 19, 2017. We employ a vector autoregressive model to study how coal price, oil price and stock index have affected the carbon price in China. The results indicate that carbon price is mainly affected by its own historical price; coal price and stock index have negative effects on carbon price, while oil price has a negative effect on carbon price during the first 3 weeks and then has a positive effect on carbon price. More regulatory attention and economic measures are needed to improve market efficiency, and the mechanisms of carbon emission trading schemes should be improved.

Policy Implications for Carbon Trading Market Establishment in China in the 12th Five-Year Period

Based on the survey of international emissions trading system （ETS） and quantitative analysis, policy suggestions on establishing a carbon ETS in China are presented in this study. Sectors sensitive to carbon prices, e.g., the power generation sector and the iron and steel industry, are given priority to be covered by the ETS. Interregional carbon trading should be carried out as early as possible. The cap of the ETS should be based on China＇s carbon intensity reduction target with the floor carbon price for the market being set in the beginning. Suggestions on the infrastructure of ETS are also proposed, including the national wide carbon measuring, reporting, verification system building. account registration system and the legislation to national

Study on the investment value and investment opportunity of renewable energies under the carbon trading system

China has promised to start the national carbon trading system in 2017.In the carbon trading system,the renewable energy projects may obtain additional benefits through the Certified Carbon Emission Reduction(CCER) trade.As the carbon price fluctuates along with the market conditions,such fluctuation enables the renewable power projects to acquire the rights of an option,i.e.it may contain an even higher value due to the uncertainties in the future.While making an investment decision,the renewable power companies may choose to make the investment immediately,or postpone the investment and accumulate more information to increase the return of investment;and for immediate investments,the return must be sufficient to exceed the potential value of a waiting option.To study the investment in renewable power projects subject to the fluctuation of carbon price,this paper adopts the trinomial tree model of real options to estimate the net present value(NPV) and real option value(ROV) of three types of renewable power projects;according to the decision-making rules of real options to defer,all the three types of projects will exercise the option to postpone the investment decision.This thesis also calculates the benchmark prices of the three types of renewable projects at different times,in the two situations of having no government subsidy and having the government subsidy,so as to determine the investment opportunity of a project.The benchmark price decreases gradually along with the increase of government subsidy,indicating that the government subsidy will stimulate the investment in renewable projects.The benchmark price also increases gradually along with the lapse of time,indicating that the uncertainty will increase together with the time span and thus requires an even higher carbon price to determine the investment opportunity.This thesis also analyzes the sensitivity of factors affecting the investment in renewable projects and draws the conclusion that the fluctuation of carbon price is positively related with the benchmark price of renewable power projects,which indicates that the fluctuation of carbon price increases the option value of an investment but postpones the time of investment.As the China's carbon trading system improves gradually,the carbon price will reach a stable status,thus stimulate the power companies to invest in the renewable projects.

Daily rolling estimation of carbon emission cost of coal-fired units considering long-cycle interactive operation simulation of carbon-electricity market

The high overlap of participants in the carbon emissions trading and electricity markets couples the operations of the two markets.The carbon emission cost(CEC)of coal-fired units becomes part of the power generation cost through market coupling.The accuracy of CEC calculation affects the clearing capacity of coal-fired units in the electric power market.Study of carbon–electricity market interaction and CEC calculations is still in its initial stages.This study analyzes the impact of carbon emissions trading and compliance on the operation of the electric power market and defines the cost transmission mode between the carbon emissions trading and electric power markets.A long-period interactive operation simulation mechanism for the carbon–electricity market is established,and operation and trading models of the carbon emissions trading market and electric power market are established.A daily rolling estimation method for the CEC of coal-fired units is proposed,along with the CEC per unit electric quantity of the coal-fired units.The feasibility and effectiveness of the proposed method are verified through an example simulation,and the factors influencing the CEC are analyzed.

Modified Ramsey Rule and Optimal Carbon Tax

The Ramsey rule is regarded as a convenient vehicle for estimating the social discount rate in general. Carbon pricing is treated as another theory of environmental economics. This study clarifies the theoretical relationship between the Ramsey rule and optimal carbon price, which has been overlooked in the existing research. It succeeds in deriving the optimal carbon price from the modified Ramsey rule in stationary state. Since the Ramsey rule decides the dynamics of an economy and a stationary state is its destination, by using the optimization condition of individual who are assumed to live infinitesimally short life, we can solve the optimal carbon price at stationary state.

Influencing Factors and Prediction of Carbon Trading Market Prices in China via Elliptical Factor Analysis

In this paper,the authors take Hubei carbon trading market prices as a sample,and select 27 variables from five aspects:International carbon market prices,energy prices,the macroeconomic situation,exchange rate factors and climate environment.The authors construct the elliptical approximate factor model and use a robust two step method based on multivariate Kendall's Tau matrix to extract common factors,identify the influencing factors of carbon prices,make out-of-sample forecasting of carbon prices,and compare with the prediction based on the historical mean of carbon trading market prices.The results show that the prediction of carbon trading market prices using elliptical approximate factor model is more accurate than the prediction based on the historical mean of carbon trading market prices.Among them,fossil energy prices,international carbon prices and climate environment are important influencing factors of carbon trading prices.

Estimate of Peaks of Carbon Emissions and Pricing of Carbon Emission Permit in China

With the aid of Matlab software, the peaks of China＇s carbon emissions and their appearing time in three situations were simulated, and the shallow price of carbon emission permit and its effects on China＇s economic growth were analyzed. The results show that it is most effective and feasible to reduce energy consumption per GDP by 25%, and the peak of China＇s carbon emissions will appear in 2017. As a result, energy conser- vation and emission reduction is realized, and China＇s international talk power about carbon emission will improved. However, the shallow price and permit rate of carbon emission permit calculated in the situation are the lowest, and the adverse impact of the initial price of carbon emissions on China＇s economic growth is the largest. Therefore, consideration should be given to both the promotion of pricing and trading of carbon emission permit to reduction of carbon emissions and their adverse effects on GDP in China.

基于季节性碳交易机制的园区综合能源系统低碳经济调度

为有效提高碳排放配额分配的合理性,并且避免年度结算时碳排放量超标导致环境污染加剧问题,提出基于奖惩因子的季节性碳交易机制,以园区综合能源系统(park integrated energy system,PIES)为对象进行低碳经济调度。首先,构建包含能量层–碳流层–管理层的综合能源系统(integrated energy system,IES)运行框架,建立电气热多能流供需动态一致性模型;其次,分析系统内“日–季节–年度”碳排放特性,打破传统应用指标法的配额分配方法,采用灰色关联分析法建立碳排放配额分配模型,并基于奖惩阶梯碳价制定季节性碳交易机制;最后,以系统内全寿命周期运行成本及碳交易成本最小为目标,对执行季节性碳交易机制的PIES进行低碳经济调度,分析长时间尺度下季节性储能参与调度的减碳量。搭建IEEE 33节点电网5节点气网7节点热网的PIES,并基于多场景进行算例分析,验证此调度方法能够实现零碳经济运行,保证系统供能可靠性,为建立零碳园区奠定理论基础。

绿色金融:破解“碳诅咒”困境的有效策略

本文立足资源型地区经济增长过度依赖化石能源的特征,探讨利用金融手段破解“碳诅咒”困境问题的路径。首先,将绿色金融嵌入包含二氧化碳排放的经济增长理论分析框架,通过数理模型,阐释绿色金融通过缓解资本价格扭曲、加速碳排放与经济增长脱钩的作用机理,证实绿色金融发展应当以资本配置达到最优为上限,避免由于绿色金融发展过度导致绿色产业领域产能过剩,从而制约其他产业的发展。其次,运用空间计量经济模型,对理论模型的现实解释力进行实证检验。主要研究结论包括,我国资源型省份过度依赖化石能源产业,更倾向于碳密集型发展,迈入“碳诅咒”困境;资源型地区的绿色金融发展可以通过缓解资本价格扭曲加速碳排放同经济增长的脱钩,进而破解资源型地区由“资源诅咒”引致的“碳诅咒”困境;资源型地区的绿色金融发展能够加强邻居地区的能源脱钩与碳脱钩。研究结论为有序推进绿色金融高质量发展提供有益指导,为破解资源型地区“碳诅咒”困境提供合理可行的政策思路。

中国碳市场建设成效与展望(2024)

碳交易通过显性碳定价原则,将排放的负外部效应内部成本化,为处理经济发展与减排关系提供了一种解决方案。截至2023年,全球共28个碳交易体系投入运行,覆盖的温室气体排放量超过全球排放总量的17%,实施区域从发达国家逐步拓展至发展中国家,从欧洲、北美等地逐步拓展至拉美、东亚等地,更多的区域选择将碳市场减排目标与宏观减排目标绑定,并通过不断优化制度提高市场有效性,碳市场影响力逐步提高。2023年中国全国碳市场核算、核查、配额分配、数据管理、自愿减排等制度方法取得重要突破,全年配额成交2.12亿吨,是2022年的4.2倍,成交均价68.15元/吨,较2022年上涨23.24%,较第一个履约周期上涨59.04%。经过两个履约周期的建设,全国碳市场已形成要素完整的全流程制度框架,责任主体分工明确,支撑平台安全运转,碳排放数据质量大幅提高,碳价格发现机制初步形成,碳减排激励约束效果初显,推动碳市场成为中国实现“双碳”战略目标的重要政策工具。下一步全国碳市场将扩大行业覆盖范围,梯次纳入水泥、民航、电解铝、钢铁等行业;优化配额分配方法,适时引入有偿分配机制;调整履约机制,明确结余配额结转规定;出台多项中国核证自愿减排方法学,完善强制减排与自愿减排市场的衔接;加快推进与国际碳市场的连接,促进技术、方法、标准、数据互认互通,协助积极应对欧盟碳边境调节机制。

论全球碳定价的碎片化发展及其管控路径

碳定价是气候变化治理的一种市场化手段。当前关于碳定价的研究大多聚焦于某个具体的碳定价机制,较少从宏观上考察碳定价的发展态势。在宏观层面,全球碳定价总体上呈现多层次、无中心、少协调、弱连接的碎片化发展特征。从生成机理上看,这种碎片化发展状态是碳定价机制差异化发展的结果,若不加以有效管控,可能会减损全球减排效率、破坏全球贸易体系。当前,管控全球碳定价的碎片化发展有四条可能路径:碳定价机制连接、碳市场单边延伸、“气候俱乐部”和多边主义路径。国际社会应坚持以《联合国气候变化框架公约》治理进程为内核的多边治理理念,运用自下而上与自上而下相结合的治理思路,采取标本兼治的治理方法,进一步完善多边主义治理路径。

中国碳排放权交易市场发展现状与展望

碳排放权交易机制作为全球各国控制温室气体排放的重要手段之一,由于其良好的政策兼容性、金融衍生性,在全球发展势头强劲。从政策制度的完善、全国性及区域性碳市场交易现状、自愿减排市场现状三方面对中国碳市场发展现状进行分析,并综合考虑国际成熟碳市场发展经验、国家政策动向等因素,对中国碳市场未来发展趋势进行展望:中国碳市场扩容是必然趋势,电解铝、水泥和钢铁将依次纳入碳市场;配额总量将不断下降,拍卖比例预计将达到5%;预期碳价“十四五”升至80~100元/吨左右,“十五五”升至130~200元/吨;电力市场与碳市场协同统筹发展是必然选择;碳市场和碳税联合使用将是未来政府控排管理的主要方式。从宏观和微观两个层面提出适时稳步扩大碳市场覆盖范围、不断提高配额拍卖比例、系统构建企业内部碳核查与信息披露机制以强化碳管理效能与透明度等发展建议。

国际碳税政策实践发展与经验借鉴

碳税是应对全球气候危机的有效碳减排政策工具之一。尽管国际上碳税的发展取得了一定的减排成效,但是各国碳税实施路径与政策调整逻辑却有显著差异,仍存在参与碳定价机制不成熟、发展缓慢和国际争议调整机制缺失等问题。借鉴当前国际碳税制度的具体税收制度、政策设计和税收关系的实践经验,我国碳税的开征应循序渐进,与碳交易协同互补,采取“逐步拓宽”的税制设计,利用税收优惠平衡税收负担,充分参与国际碳税协调,致力于推动绿色经济的发展和促进碳达峰、碳中和目标的达成。