铁路全生命周期绿色低碳选线优化研究  

Green and Low-Carbon Alignment Optimization for the Entire Lifecycle of a

作　　者：蒲浩 蔡玲[4] 李伟 胡建平[5] 乔俊飞 胡光常[5] 明杰[6] PU Hao;CAI Ling;LI Wei;HU Janping;QIAO Junfei;HU Guangchang;MING Jie(National Engineering Research Center of High-Speed Railway Construction Technology,Changsha Hunan 410075,China;China Railway Group Limited,Beijing 100039,China;School of Civil Engineering,Central South University,Changsha Hunan 410075,China;Hunan Provincial Expressway Group Co.,Ltd.,Changsha Hunan 410005,China;China Railway Eryuan Engineering Group Co.,Ltd.,Chengdu Sichuan 610031,China;China Railway Engineering Design and Consulting Group Co.,Ltd.,Beijing 10003,China)

机构地区：[1]高速铁路建造技术国家工程研究中心,湖南长沙410075 [2]中国中铁股份有限公司,北京100039 [3]中南大学土木工程学院,湖南长沙410075 [4]湖南省高速公路集团有限公司,湖南长沙410005 [5]中铁二院工程集团有限责任公司,四川成都610031 [6]中铁工程设计咨询集团有限公司,北京100039

出　　处：《中国铁道科学》2024年第6期62-71,共10页China Railway Science

基　　金：国家自然科学基金资助项目(52078497);中国中铁股份有限公司科技研究开发计划项目(2022-重大-20)。

摘　　要：绿色低碳选线对于实现我国“双碳”目标、促进交通运输行业高质量发展具有十分重要的意义。目前铁路低碳选线优化研究大多集中于针对给定铁路线路方案局部的事后评价,而选线设计作为铁路建设项目的先行环节,要着眼全局,将绿色低碳选线理念融入设计过程,开展铁路全生命周期碳排放预评估。为此,针对智能选线搜索过程中实时生成的线路方案,首先提出涵盖施工建造、运营管理和养护维修的铁路全生命周期碳排放的计算模型,并通过碳强度年度衰减规律分析对各阶段碳排放进行动态修正,得到总碳排放;然后将碳排放计算模型和建设成本计算模型进行组合,构建铁路线路碳排放-成本双目标优化模型,并基于改进的粒子群优化算法进行双目标优化模型求解。以某山区铁路为例,应用所提模型生成的碳排放-成本双目标最优方案与人工方案进行对比分析,结果表明:与人工方案相比,双目标综合最优方案可节省22.7%的建设成本、降低12.7%的碳排放。该优化模型可有效提高铁路线路方案的经济性和低碳性,为设计人员选线优化提供参考。Green and low-carbon alignment design is of great significance for realizing China’s“carbon peaking and carbon neutrality”goal and promoting high-quality development of transportation industry.At present,research on railway low-carbon alignment optimization predominantly focuses on localized post-evaluation of predetermined railway alignment solutions.As the initial phase of railway construction projects,the design of railway alignment should adopt a holistic approach,integrating the concept of green and low-carbon into the design process,and carrying out pre-assessments of carbon emissions throughout the railway’s entire life cycle.Therefore,for alignment solutions generated in real time during the intelligent search process,a calculation model for railway carbon emission covering construction,operation and maintenance during the entire life cycle is first proposed.Through the analysis of annual carbon intensity decay patterns,the carbon emissions at each stage are dynamically adjusted to determine the total carbon emissions.Next,combining the carbon emission calculation model with the cost calculation model,a bi-objective optimization model for railway alignment considering carbon emission and construction cost is constructed.This model is solved using the improved particle swarm optimization algorithm.Taking a mountain railway as an example,the carbon emission-cost bi-objective optimal solution generated by the proposed model is compared with the manual solution.The results show that compared to the manual solution,the bi-objective comprehensive optimal solution achieves a 22.7%reduction in construction cost and a 12.7%decrease in carbon emission.This optimization model can improve effectively the economic efficiency and the low carbon performance of railway alignment designs,providing valuable reference for designers in optimizing alignments.

关 键 词：铁路线路 碳排放 全生命周期 双目标优化模型 粒子群算法 

分 类 号：U212.32[交通运输工程—道路与铁道工程]