Quantitative analysis of energy consumption and carbon emission of asphalt pavement maintenance technology
Different maintenance technology for asphalt pavement maintenance engineering exhibit various impacts on the ecological environment such as energy consumption and carbon emission.In addition,the characteristics of energy consumption and carbon emission of different schemes are also different in different life cycle stages.In order to provide guidance on energy saving and emis-sion reduction for road maintenance decision,based on the life cycle analysis(LCA)theory,the net heating value method and emis-sion factor method were used in this paper to establish quantitative models of energy consumption and carbon emission respectively.The environmental impacts of five maintenance technologies,namely milling resurfacing,thin-layer cladding,microsurfacing,syn-chronous gravel sealing and slurry sealing were compared and analyzed at different life stages.The results show that the most energy-intensive stage of the five conservation schemes is the material production stage,whoes energy consumption accounts for more than 60%of the total energy consumption.The energy consumption and carbon emission in the material transportation stage are the small-est,less than 15%.In the construction stage,the environmental impact of mixing is the most concentrated,followed by spreading and rolling.The average annual energy consumption of the five maintenance technologies decreases in the order of synchronous gravel sealing,microsurfacing,slurry sealing,milling resurfacing,and thin-layer cladding.The average annual carbon emission of the five maintenance technologies decreases in the order of milling and resurfacing,synchronous gravel sealing,slurry sealing,thin-layer cladding,and microsurfacing.Therefore,considering the factors of energy saving,emission reduction and service perfor-mance,thin-layer cladding technology performs the best.
environmental impactmaintenancelife cycle analysis(LCA)energy consumptioncarbon emissionquantitative model
NETL
NSTL
万方数据
