高速铁路全生命周期碳排放计算

发布时间：2018-04-19 00:29

本文选题：高速铁路 + 全生命周期　；参考：《铁道学报》2016年12期

【摘要】：根据全生命周期理论,对高速铁路全生命周期碳排放计算的边界进行界定,将全生命周期划分为建材生产阶段、施工建设阶段、运营维护阶段和报废拆除处置4个阶段。考虑全生命周期内各年度碳排放因子时空动态变化,分析高速铁路碳排放分解结构体系,建立高速铁路全生命周期碳排放数学模型。应用该模型对京沪高速铁路全生命周期碳排放进行定量分析及敏感度分析,对高速铁路各专业碳排放进行定量分解分析。结果表明,京沪高速铁路全生命周期碳排放为30 425.697万t,各阶段的碳排放所占比重依次为12.66%、1.32%、84.97%和1.05%。运营维护阶段碳排放最大,是全生命周期控制重点。敏感性分析结果表明电力碳排放因子敏感性最强,考虑碳排放因子时空动态因素变化,京沪高速铁路全生命周期碳排放比静态因子减少15.06%。
[Abstract]:According to the whole life cycle theory, the boundary of carbon emission calculation in the whole life cycle of high-speed railway is defined. The whole life cycle is divided into four stages: building materials production stage, construction stage, operation and maintenance stage and scrap removal and disposal stage.Considering the time and space dynamic changes of carbon emission factors in each year in the whole life cycle, the carbon emission decomposition structure system of high-speed railway is analyzed, and the mathematical model of carbon emission in the whole life cycle of high-speed railway is established.The model is applied to the quantitative analysis and sensitivity analysis of carbon emissions in the whole life cycle of Beijing-Shanghai high-speed railway, and the quantitative decomposition analysis of carbon emissions in various specialties of high-speed railway is carried out.The results show that the whole life cycle carbon emission of Beijing-Shanghai high-speed railway is 30 4.25697 million t, and the proportion of carbon emission in each stage is 12.66% and 1.32% 84.97% and 1.055% respectively.Operation and maintenance stage carbon emission is the largest, is the whole life cycle control focus.The sensitivity analysis results show that the electric power carbon emission factor is the most sensitive. Considering the dynamic change of carbon emission factor, the whole life cycle carbon emission of Beijing-Shanghai high-speed railway is 15.06 less than that of static factor.
【作者单位】：石家庄铁道大学交通运输学院;河北省交通安全与控制重点实验室;石家庄铁道大学土木工程学院;
【基金】：国家自然科学基金(51008201) 河北省自然科学基金(E2016210131);河北省自然科学基金(E2014210152) 河北省高等学校科学技术研究(ZD2014084)
【分类号】：U238;X731

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