摘要
为推进高速公路路域内光伏的应用,以Python程序语言中OpenCV库为工具,提取高速路线图中的路线图像并投影至光辐射量分布图,分析在各辐射区域内的高速公路路线长度及其比例;计算了高速公路各类基础设施的占地面积,并采用JNMM60光伏组件参数计算了高速公路路域内的光伏发电潜力;将高速公路运营期及智慧高速路侧设备的电力需求与光伏发电潜力进行对比,并对光伏建设投资成本进行测算。分析结果表明:高速公路路域内的年平均辐射为1523.865 kW·h·m^(-2),每平米光伏用地年发电量为63.27 kW·h,全国高速公路总体占地面积在2020年底和2025年底分别可达到约4.9×10^(5)、6.4×10^(5)hm^(2),光伏发电潜力巨大;分别仅需在75%的高速服务管理区域及10%的路侧区域内安装光伏设备即可满足高速公路运营期内及智慧高速路侧设备的全部电力需求,且仅需4~6年即可回收建设成本;在高速公路路域内大规模铺设光伏设备仍面临初始建设投资成本巨大、光伏产能技术不足、配套设施需求巨大、光伏设施与道路交通环境相互影响不明、供需空间匹配性较差及大规模光伏规划设计管理系统方法欠缺等困难。
In order to promote the application of photovoltaic(PV)in the expressway area,the OpenCV library in the Python programming language was used as a tool,and the route images in the expressway route map were extracted and projected to the light radiation distribution map.The length of the expressway in each radiation area and its proportion were analyzed.The land areas of various types of expressway infrastructures were calculated.The JNMM60 PV module parameters were adopted to calculate the PV power potential in the expressway area.The power demands of expressway operation period and intelligent expressway roadside equipments were compared with the PV power potential,and the PV construction and investment costs were calculated.Analysis results show that the annual average radiation in the expressway area is 1523.865 kW·h·m^(-2),and the annual power generation per square meter of PV land is 63.27 kW·h.The land area of the nationwide expressway can reach about 4.9×10^(5)hm^(2)by the end of 2020 and 6.4×10^(5)hm^(2)by the end of 2025,indicating great PV power potential.Only 75%of the expressway service management area and 10%of the roadside area require the installation of PV equipment to meet all the power demands during the expressway operation period and those of intelligent expressway roadside equipments,and it only takes 4-6 years to recover the construction cost.The large-scale installation of PV equipment in the expressway area still faces difficulties,such as huge initial construction and investment costs,insufficient of PV production capacity and technology,large demand for supporting facilities,unknown interaction between PV infrastructure and road traffic environment,poor space matching between supply and demand,and lack of large-scale PV planning and design management system methods.14 tabs,4 figs,42 refs.
作者
胡力群
黄虹鑫
沙爱民
HU Li-qun;HUANG Hong-xin;SHA Ai-min(School of Highway,Chang'an University,Xi'an 710064,Shaanxi,China)
出处
《交通运输工程学报》
EI
CSCD
北大核心
2024年第4期1-13,共13页
Journal of Traffic and Transportation Engineering
基金
国家重点研发计划(2021YFB2601300)。
