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Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP

机译:从峰值峰值和时间的角度分析了能耗的碳排放碳排放的贡献

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Studying the driving factors and contributions of carbon emissions peak volume and time is essential for reducing the cumulative carbon emissions in developing countries with rapid economic development and increasing carbon emissions. Taking Jilin Province as a case study, four scenarios were set in this paper respectively: Business as Usual Scenario (BAU), Energy-Saving Scenario (ESS), Energy-Saving and Low-Carbon Scenario (ELS), and Low-Carbon Scenario (LCS). Furthermore, the carbon emissions were predicted according to the energy consumption based on the application of LEAP system. The research result showed that the peak time of carbon emissions would appear in 2045, 2040, 2035 and 2025 under the four different scenarios, respectively. The peak volumes would be 489.8 Mt, 395.2 Mt, 305.3 Mt and 233.6 Mt, respectively. The cumulative emissions by 2050 are respectively 15.632 Bt, 13.321 Bt, 10.971 Bt and 8.379 Bt. According to the forecasting, we analyzed the driving factors of and contributions to carbon emissions peak volume and time. On the premise of moderate economic growth, the “structural emission reduction”, namely the adjustment of industrial structure and energy structure, and “technology emission reduction”, namely the reduction of energy intensity and carbon emission coefficient could make the peak volume reduced by 20%–52% and cumulative carbon emissions (2050) reduced by 15%–46% on the basis of BAU. Meanwhile, controlling the industrial structure, energy structure and energy intensity could make carbon emissions reach the peak 5–20 years ahead of the time on the basis of BAU. Controlling GDP, industrial structure, energy structure, energy intensity and coefficient of carbon emissions is the feasible method to adjust the carbon emissions peak volume and time in order to reduce the cumulative emissions.
机译:研究碳排放峰值体积和时间的驾驶因素和贡献对于降低发展中国家的累积碳排放以及碳排放量的累积碳排放量至关重要。以吉林省为例研究,本文分别设定了四种情况:业务作为惯常场景(BAU),节能场景(ESS),节能和低碳情景(ELS)和低碳情景(LCS)。此外,根据基于LEAP系统的应用,根据能量消耗预测碳排放。研究结果表明,碳排放的峰值时间分别在四种不同场景下出现在2045,2040,2035和2025中。峰值体积分别为489.8吨,分别为395.2吨,305.3吨和233.6 mt。 2050的累积排放分别为15.632 bt,13.321 bt,10.971 bt和8.379 bt。根据预测,我们分析了对碳排放峰值和时间的驱动因素和贡献。在适度经济增长的前提下,“结构排放减少”,即产业结构和能量结构的调整,以及“技术排放减少”,即能量强度和碳排放系数的减少可以使峰值减少20 %-52%和累积碳排放(2050)在BAU的基础上减少了15%-46%。同时,控制产业结构,能源结构和能源强度可以使碳排放在BAU的基础上提前5 - 20年达到峰值。控制GDP,产业结构,能量结构,能量强度和碳排放系数是调节碳排放峰值和时间的可行方法,以减少累积排放。

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