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航空碳市场与可持续航空燃油协同减排效益研究

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研究旨在通过综合分析可持续航空燃料的应用潜力和航空碳市场机制,评估二者协同作用下的减排效益,以为中国民航业的绿色转型提供策略和政策支持。首先,利用遗传算法优化的反向传播神经网络(Genetic Algorithm Optimized Backpropagation Neural Network,GA-BP)模型对我国民航2025-2060年航空燃油需求进行分阶段预测;其次,在此基础上构建基于未来能源需求的CO2排放模型;最后,构建航空碳市场减排模型并分析不同碳市场与SAF配额组合下的协同减排效益。结果显示:(1)在高应用情景下,到2060 年我国可持续航空燃油(Sustainable Aviation Fuel,SAF)需求量将达到6 900万t,同时,相比于基准情景最高可减少87。4%的碳排放量;(2)SAF应用的增加会对民航业造成巨大的减排成本压力,在2025-2060年,航空公司为使用SAF脱碳需付出的额外减排成本将达到124 719亿元;(3)在免费碳配额比例为0。8、碳价达到500元/t时,航空公司通过碳市场减排可以获得13 148。83亿元。当碳配额过低时,航空公司无法通过碳市场减排获利,甚至为了满足碳市场减排要求还会付出额外的减排成本。因此,SAF应用的增加可以有效降低民航业的碳排放量,但也会给行业带来显著的经济压力;在合适的碳市场机制下,航空公司可以通过SAF减排获利。建议政府在提供必要的财政补贴和税收优惠的同时,优化碳市场政策,以确保航空公司在减排过程中的经济可行性。
Aviation carbon market and sustainable aviation fuel under carbon neutrality goals research on the benefits of collaborative emission reduction
This study aims to provide strategic and policy support for the green transformation of China's civil aviation industry by conducting a comprehensive analysis of the application potential of Sustainable Aviation Fuel(SAF)and the aviation carbon market mechanism,and assessing the emission reduction benefits of their synergistic effects.The methodology uses a Genetic Algorithm Optimized Backpropagation Neural Network(GA-BP)model to predict the phased aviation fuel demand for China's civil aviation from 2025 to 2060.Subsequently,a CO2 emission model based on future energy needs is constructed,followed by the development of an aviation carbon market emission reduction model to analyze the synergistic emission reduction benefits under various combinations of carbon market and SAF quota scenarios.The results indicate:(1)Under the high application scenario,by 2060,the demand for SAF in China will reach 69 million tons,and carbon emissions can be reduced by up to 87.4%compared to the baseline scenario;(2)The increased application of SAF also puts tremendous pressure on the aviation industry in terms of emission reduction costs,and airlines have to pay an additional emission reduction cost of 1 247.19 billion yuan to decarbonize with SAF from 2025 to 2060;(3)When the free carbon quota ratio is 0.8 and the carbon price reaches 500 yuan per ton,airlines can earn 1 314.883 billion yuan through carbon market emissions reduction.However,if the carbon quota is too low,airlines may not profit from carbon market emissions reductions,and even pay additional emission reduction costs to meet the carbon market emission reduction requirements.Therefore,the increased application of SAF can effectively reduce the carbon emissions of the aviation industry but also bring significant economic pressure to the sector.Under a suitable carbon market mechanism,airlines can profit from SAF emission reduction.It is recommended that the government provide necessary financial subsidies and tax incentives while optimizing carbon market policies to ensure the economic feasibility of airlines during the emission reduction process.

environmental engineeringcarbon neutralitycarbon marketsustainable aviation fuelgenetic algorithm optimized backpropagation neural network modelcollaborative emission reduction benefits

田利军、刘鑫

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中国民航大学中国民航环境与可持续发展研究中心,天津 300300

环境工程学 碳中和 碳市场 可持续航空燃油 遗传算法优化的反向传播神经网络模型 协同减排效益

2024

安全与环境学报
北京理工大学 中国环境科学学会 中国职业安全健康协会

安全与环境学报

CSTPCD北大核心
影响因子:0.943
ISSN:1009-6094
年,卷(期):2024.24(12)