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公路工程建設階段全生命周期碳排放智能估算方法

Intelligent assessment method of life-cycle carbon emission during the highway construction phase

  • 摘要: 深度分析了國內外交通行業碳排放清單及碳排放因子目錄,結合中國交通行業特點,基于現有的公路工程估算指標及中國傳統交通行業施工機械設備臺班單價計算表,總結歸納符合中國交通行業特點的碳排放因子數據. 基于歸因全生命周期評價方法(ALCA),采用“自下而上”的公路工程碳排放計量思路,將公路工程項目建設期內工程活動分為分項工程–分部工程–單位工程,建立了公路工程建設期碳排放數據庫及碳排放測算模型. 在此基礎上,利用MATLAB搭建了公路工程碳排放智能估算軟件并對國內兩段支線高速公路的路面工程碳排放進行了估算分析,實現了僅通過公路里程量、工程方量和公路等級等信息即可快速估算并統計碳排放量,同時能夠智能溯源各階段碳排放要素并定位碳排放大戶,為交通行業節能減排提供數據和理論基礎. 分析顯示,在路面工程中,穩定土基層和瀝青路面面層的碳排放主導整體碳排放量,占據了99.6%以上,其中,以C32.5水泥為主的材料占據了75%左右的碳排放.

     

    Abstract: The Chinese government has announced its “carbon peak and carbon neutrality goals” for 2030 and 2060, respectively. All industry sectors are working toward developing carbon policies to support the national dual carbon goals. The transportation industry, which is one of the three major sources of CO2 emission in China, has indirectly contributed to the greenhouse effect and global warming and serves as a threat to human living spaces. Therefore, highway construction projects are the key targets for emission reduction in China. This paper presents a detailed analysis of the carbon emission inventories and carbon emission factor catalogs in the domestic and foreign transportation industries. The carbon emission factor data of China’s transportation industry are compiled and summarized based on the existing estimation indices for highway projects and the unit price calculation sheet of construction machinery and equipment in China’s traditional transportation industry. A “bottom-up” approach to measuring carbon emissions of highway projects, based on the attribution life-cycle assessment (ALCA) method, is adopted. In this method, the project activities are divided into subprojects, divisional projects, and unit projects during the construction period of the highway project, thereby establishing a carbon emission database and a carbon emission assessment model. Accordingly, intelligent assessment software for the carbon emission of highway projects was developed using MATLAB, and the carbon emissions of pavement projects for a certain mileage of two domestic highway feeders were estimated and analyzed. In general, our method enables the rapid assessment and statistical analysis of carbon emissions using information about the highway mileage, highway grade, and engineering volume. Moreover, it can intelligently track the carbon emission elements at each stage and identify the major carbon emitters during the construction of highway projects. Based on the assessment of two case studies of pavement projects, the software shows that the major carbon emitters that accounted for 75% of overall emissions were C32.5 cement, gravel, and modified asphalt in the different concrete layers. This implies that the construction phase is the dominant contributor to the overall carbon emissions. Among the machinery and equipment, the asphalt mixture mixing equipment is the major carbon emitter, with emissions of 380 t·h?1, accounting for roughly 30% of the overall carbon emissions from the machinery and equipment. In asphalt pavement engineering, the main source of carbon emissions is the stable soil base and the asphalt pavement layer, accounting for more than 99.6% of the total carbon emissions, while the emissions from the pavement cushion and sporadic engineering are almost negligible. Therefore, our intelligent assessment method can provide robust data and a theoretical basis for energy conservation and the reduction of emissions in the transportation industry.

     

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