新能源车混入影响下的公路隧道运营通风设计折减系数研究
Reduction Coefficient of Ventilation Design for Highway Tunnel Operation Under Influence of New Energy Vehicle Mixing
曾弘锐 1苏开春 2冷希乔 3付锐 1郭春1
作者信息
- 1. 西南交通大学土木工程学院,四川 成都 610031;西南交通大学交通隧道工程教育部重点实验室,四川 成都 610031
- 2. 四川成南高速公路有限责任公司,四川 成都 610052
- 3. 四川省长大公路隧道(群)运营安全工程实验室,四川 成都 610095
- 折叠
摘要
为进一步降低隧道运营期能耗,基于国家统计数据及高速公路沿线数据,从时空维度对数据进行分析,并使用多元线性回归对高速公路沿线新能源车混入度数据进行拟合.得到以下结论:1)近年来我国新能源车保有量占比呈高速增长态势,经济发达地区的新能源车保有量占比较高,新能源车混入度总体呈现从新能源车保有量占比高水平地区到低水平地区逐渐递减的趋势;2)新能源车混入度与时间和距离中心城市的里程存在明显的线性关系,与时间成正相关性,与里程成负相关性;3)根据新能源车混入度给出新能源车辆混入影响下的公路隧道运营通风设计交通量折减系数计算公式,能通过时间和空间信息预测隧道的交通量折减系数,为隧道设计阶段和运营阶段需风量的折减提供依据.
Abstract
Drawing from national statistical data and data from expressway routes,the authors analyze the data from spatial and temporal perspectives using multiple linear regression for data fitting to introduce new depreciation factors considering the growth of new energy vehicles,thereby aiming to further reduce energy consumption during tunnel operation.The following conclusions are presented:(1)The proportion of new energy vehicle ownership in China has been rapidly growing in recent years,while that in economically developed areas is generally high.The mixing rate of new energy vehicles in areas with a high proportion of new energy vehicle ownership is generally high and gradually decreases in areas with a low proportion.(2)A linear relationship exists between the mixing rate of new energy vehicles and the distance from the central city center,demonstrating positive and negative correlations with time and distance,respectively.(3)Considering the degree of new energy vehicle integration,a calculation formula for the reduction factor in highway tunnel operation ventilation design under the influence of new energy vehicle integration is provided,thereby offering a reduced basis for the required air volume calculation during tunnel design stages.
关键词
公路隧道/运营通风/新能源车辆/折减系数/多元线性回归Key words
highway tunnel/operational ventilation/new energy vehicle/reduction factor/multiple linear regression引用本文复制引用
基金项目
四川省交通运输科技项目(2021-ZL-04)
中国交通教育研究会教育科学研究课题(JT2022YB163)
中国交通教育研究会教育科学研究课题(JT2022YB405)
出版年
2024
NETL
NSTL
万方数据