[1]韩振强,兰晨睿,胡力群,等.公路路域太阳能资源开发潜力分层评估方法[J].长安大学学报(自然科学版),2024,44(5):57-70.[doi:10.19721/j.cnki.1671-8879.2024.05.006]
　HAN Zhen-qiang,LAN Chen-rui,HU Li-qun,et al.Analytic hierarchy process evaluation method of development potential of solar energy resources in highway areas[J].Journal of Chang’an University (Natural Science Edition),2024,44(5):57-70.[doi:10.19721/j.cnki.1671-8879.2024.05.006]
点击复制

公路路域太阳能资源开发潜力分层评估方法()
分享到：

长安大学学报（自然科学版）[ISSN:1006-6977/CN:61-1281/TN]

卷:
第44卷
期数:
2024年5期
页码:
57-70
栏目:
交通能源融合技术专题
出版日期:
2024-10-10

文章信息/Info

Title:
Analytic hierarchy process evaluation method of development potential of solar energy resources in highway areas
文章编号:
1671-8879(2024)05-0057-14
作者:
韩振强1; 2; 兰晨睿1; 胡力群1; 2; 周维东3; 沙爱民1; 2
(1. 长安大学 公路学院,陕西 西安 710064; 2. 长安大学 特殊地区公路工程教育部重点实验室,陕西 西安 710064; 3. 安徽省交通规划设计研究总院股份有限公司,安徽 合肥 230088)
Author(s):
HAN Zhen-qiang1; 2;  LAN Chen-rui1;  HU Li-qun1; 2;  ZHOU Wei-dong3;  SHA Ai-min1; 2
(1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Key Laboratory of Highway Engineering in Special Region, Ministry of Education, Chang'an University, Xi'an 710064, Shaanxi, China; 3. Anhui Transport Consulting & Design Institute Co., Ltd., Hefei 230088, Anhui, China)
关键词:
道路工程;  太阳能资源开发;  光伏发电潜力评估;  分层评估方法;  光伏利用经济性评估;  电力供需匹配
Keywords:
road engineering;  development of solar energy resources;  assessment of photovoltaic power generation potential;  analytic hierarchy process evaluation method;  economic evaluation of photovoltaic utilization;  power supply and demand matching
分类号:
U45
DOI:
10.19721/j.cnki.1671-8879.2024.05.006
文献标志码:
A
摘要:
为实现公路路域太阳能资源的规模化开发利用,建立基于公路基础设施空间分布、物理构成和含能特征的发电潜力分层评估方法。将公路基础设施系统划分为连通设施、管维设施、服务设施3大类,分析各类设施的构成、光伏发电应用的技术复杂性及可利用边界条件; 基于太阳辐照计算模型,提出路域太阳能资源发电潜力的分层评估计算模型,包含初步潜力评估、一般潜力评估与应用潜力评估3个层次。其中,初步潜力为地区太阳辐照水平评估,采用区域水平辐照总量、水平面总辐照稳定度和太阳能资源直射比,按照影响程度加权评分形成评估指标; 一般潜力为路域光伏发电时空分布和总体经济效益评估,发电量计算采用路域范围水平投影面积和水平辐照; 应用潜力为路域典型场景光伏发电量精细化计算及电力供求关系评估,针对重点部位采用倾斜面辐照与光伏布设面积计算发电潜力,基于供需匹配约束提供储能设施容量配置设计指导。针对陕西某节段150 km高速公路,进行发电潜力分层评估方法的实证分析。研究结果表明:该节段高速公路光伏开发初步潜力评估均分为71.18分,大于60分阈值,具备一定光伏开发潜力; 一般潜力评估为年际发电量约3.36×108 kW·h,总体投入产出比为0.68,具有良好开发经济性; 服务区2应用潜力为年际发电量约1.14×106 kW·h,在典型用能条件下,须配备储能设施容量为5.57×103 kW·h; 建立的路域光伏资源开发潜力分层评估方法具有较强可行性,可为公路交通系统太阳能清洁能源的规模化利用和规划设计提供理论支撑。
Abstract:
To achieve large-scale development and utilization of solar energy resources in highway domains, a layered evaluation method for power generation potential was established based on the spatial distribution, physical composition, and energy characteristics of highway infrastructure. The highway infrastructure system was categorized into three types, connecting facilities, maintenance facilities, and service facilities. The composition of each type, the technical complexity of photovoltaic power generation applications, and the available boundary conditions were analyzed. Based on the solar irradiance calculation model, a layered evaluation calculation model for the power generation potential of highway solar energy resources was proposed, which includes three levels, preliminary potential evaluation, general potential evaluation, and application potential evaluation. The preliminary potential refered to the evaluation of regional solar irradiance levels, using the total regional horizontal irradiance, the stability of total horizontal irradiance, and the direct ratio of solar energy resources, weighted and scored according to their impact to form the evaluation indicators. The general potential involved evaluating the spatiotemporal distribution and overall economic benefits of photovoltaic power generation in the highway domain, with power generation calculated using the horizontal projection area within the highway domain and horizontal irradiance. The application potential involved the refined calculation of photovoltaic power generation for typical scenarios in the highway domain and the evaluation of the power supply and demand relationship. For key areas, inclined irradiance and the photovoltaic layout area were used to calculate power generation potential, and storage facility capacity configuration guidance was provided based on supply-demand matching constraints. An empirical analysis of a stratified evaluation method for photovoltaic power generation potential was conducted for a 150 km section of a highway in Shaanxi. The results show that the preliminary assessment of the photovoltaic development potential for this highway section scores an average of 71.18 points, exceeding the threshold of 60 points, suggesting a certain level of photovoltaic development potential. The general potential evaluation shows an estimated annual power generation of approximately 3.36×108 kW·h, with an overall input-output ratio of 0.68, indicating good economic feasibility for development. The application potential in service area 2 is estimated to have an annual power generation of about 1.14×106 kW·h, and under typical energy use conditions, it requires an energy storage capacity of 5.57×103 kW·h. The stratified evaluation method for assessing the development potential of roadside photovoltaic resources established in this paper is considered highly feasible and can provide theoretical support for the large-scale utilization and planning of solar clean energy in the highway transportation system.7 tabs, 10 figs, 35 refs.

参考文献/References:

[1] MEKHILEF S,FARAMARZI S Z,SAIDUR R,et al.The application of solar technologies for sustainable development of agricultural sector[J].Renewable and Sustainable Energy Reviews,2013,18:583-594.
[2]PAN P C,SUN Y W,YUAN C Q,et al.Research progress on ship power systems integrated with new energy sources:A review[J].Renewable and Sustainable Energy Reviews,2021,144:111048.
[3]MA D,PAN Y,YANG S C.Solar power generation technology and its development prospect[C]//LIN L,JUN X,YANG Z.2nd International Conference onGreen Energy and Sustainable Development(GESD2019),AIP Conference Proceedings.New York:AIP Publishing,2019:020016.
[4]GHALEB B,ASIF M.Assessment of solar PV potential in commercial buildings[J].Renewable Energy,2022,187:618-630.
[5]KAKOULAKI G,GONZALEZ S R,GRACIA A A,et al.Benefits of pairing floating solar photovoltaics with hydropower reservoirs in Europe[J].Renewable and Sustainable Energy Reviews,2023,171:112989.
[6]LEE N,GRUNWALD U,ROSENLIEB E,et al.Hybrid floating solar photovoltaics-hydropower systems:Benefits and global assessment of technical potential[J].Renewable Energy,2020,162:1415-1427.
[7]贾利民,师瑞峰,吉 莉,等.我国道路交通与能源融合发展战略研究[J].中国工程科学,2022,24(3):163-172.
JIA Li-min,SHI Rui-feng,JI Li,et al.Road transportation and energy integration strategy in China[J].Strategic Study of CAE,2022,24(3):163-172.
[8]ALI SAHRAEI M,DUMAN H,CCODUR M Y,et al.Prediction of transportation energy demand:Multivariate Adaptive Regression Splines[J].Energy,2021,224:120090.
[9]SONG M L,ZHENG W P,WANG Z Y.Environmental efficiency and energy consumption of highway transportation systems in China[J].International Journal of Production Economics,2016,181:441-449.
[10]SAQR K M,MUSA M N.A perspective of the Malaysian highway energy consumption and future power supply[J].Energy Policy,2011,39(6):3873-3877.
[11]KIM S,LEE Y,MOON H R.Siting criteria and feasibility analysis for PV power generation projects using road facilities[J].Renewable and Sustainable Energy Reviews,2018,81:3061-3069.
[12]RAHMAN M W,MAHMUD M S,AHMED R,et al.Solar lanes and floating solar PV:New possibilities for source of energy generation in Bangladesh[C]//IEEE.2017 Innovations in Power and Advanced Computing Technologies(i-PACT).New York:IEEE,2017:1-6.
[13]ZHANG K,CHEN M,YANG Y,et al.Quantifying the photovoltaic potential of highways in China[J].Applied Energy,2022,324:119600.
[14]HAN Z Q,ZHOU W D,SHA A M,et al.Assessing the photovoltaic power generation potential of highway slopes[J].Sustainability,2023,15(16):12159.
[15]KIM B,HAN S,HEO J,et al.Proof-of-concept of a two-stage approach for selecting suitable slopes on a highway network for solar photovoltaic systems:A case study in South Korea[J].Renewable Energy,2020,151:366-377.
[16]JUNG J,HAN S,KIM B.Digital numerical map-oriented estimation of solar energy potential for site selection of photovoltaic solar panels on national highway slopes[J].Applied Energy,2019,242:57-68.
[17]FERRI C,ZIAR H,NGUYEN T T,et al.Mapping the photovoltaic potential of the roads including the effect of traffic[J].Renewable Energy,2022,182:427-442.
[18]LIU Z Y,FEI T.Road PV production estimation at city scale:A predictive model towards feasible assessing regional energy generation from solar roads[J].Journal of Cleaner Production,2021,321:129010.
[19]NANDA V M V,TATEOSIAN L,BARAN P.GIS-based estimation of seasonal solar energy potential for parking lots and roads[C]//IEEE.2020 IEEE Green Technologies Conference(GreenTech).New York:IEEE,2020:136-141.
[20]姚玉璧,郑绍忠,杨 扬,等.中国太阳能资源评估及其利用效率研究进展与展望[J].太阳能学报,2022,43(10):524-535.
YAO Yu-bi,ZHENG Shao-zhong,YANG Yang,et al.Progress and prospects on solar energy resource evaluation and utilization efficiency in China[J].Acta Energiae Solaris Sinica,2022,43(10):524-535.
[21]沈 义.我国太阳能的空间分布及地区开发利用综合潜力评价[D].兰州:兰州大学,2014.
SHEN Yi.Spatial distribution of solar energy in China and comprehensive potential evaluation of regional development and utilization[D].Lanzhou:Lanzhou University,2014.
[22]周传瑞.哈尔滨地区太阳能资源评估及开发利用前景分析[D].兰州:兰州大学,2012.
ZHOU Chuan-rui.Evaluation of solar energy resources in Harbin area and analysis of its development and utilization prospect[D].Lanzhou:Lanzhou University,2012.
[23]胡 超.京沪汉地区光伏资源分析建模与评估[D].上海:上海电力学院,2017.
HU Chao.Analysis,modeling and evaluation of photovoltaic resources in Beijing,Shanghai and Han areas[D].Shanghai:Shanghai University of Electric Power,2017.
[24]吴亚楠,周庆伟,武 贺,等.中国近海太阳能资源特征分析及储量评估[J].太阳能学报,2023,44(12):162-169.
WU Ya-nan,ZHOU Qing-wei,WU He,et al.Characteristics analysis and reserve evaluation of offshore solar energy resources in China[J].Acta Energiae Solaris Sinica,2023,44(12):162-169.
[25]王 博,李玲萍,夏 权,等.河西走廊太阳辐射时空分布特征及太阳能资源评估研究[J].沙漠与绿洲气象,2023,17(6):147-153.
WANG Bo,LI Ling-ping,XIA Quan,et al.Spatial and temporal distribution characteristics of solar radiation and assessment of solar energy resources in Hexi corridor[J].Desert and Oasis Meteorology,2023,17(6):147-153.
[26]柴 晋,乔加飞,王兵兵,等.散射辐射对光伏发电系统的影响[J].洁净煤技术,2023,29(增2):291-298.
CHAI Jin,QIAO Jia-fei,WANG Bing-bing,et al.Effect of scattered radiation on photovoltaic power generation system[J].Clean Coal Technology,2023,29(S2):291-298.
[27]张佳平.光伏系统发电效率的影响因素[J].上海节能,2022(1):56-61.
ZHANG Jia-ping.Factors affecting power generation efficiency of photovoltaic-system[J].Shanghai Energy Conservation,2022(1):56-61.
[28]贠旭明.光伏发电系统发电效率评估[D].北京:华北电力大学,2017.
YUN Xu-ming.Powergeneration efficiency evaluation of photovoltaic power generation system[D].Beijing:North China Electric Power University,2017.
[29]李 杰.分布式光伏项目前期影响因素及项目案例[J].云南水力发电,2024,40(5):13-17.
LI Jie.Early influencing factors and project cases of distributed photovoltaic project[J].Yunnan Water Power,2024,40(5):13-17.
[30]李经纬.HT公司光伏发电项目经济效益分析[D].北京:北方工业大学,2024.
LI Jing-wei.Economic benefit analysis of photovoltaic power generation project in HT company[D].Beijing:North China University of Technology,2024.
[31]陈艳波,刘宇翔,田昊欣,等.基于广义目标级联法的多牵引变电站光伏-储能协同规划配置[J].电工技术学报,2024,7(15):1-16.
CHEN Yan-bo,LIU Yu-xiang,TIAN Hao-xin et al.Collaborative planning and configuration of photovoltaic and energy storage in multiple traction substations based on generalized analytical target cascading method[J].Transactions of China Electrotechnical Society,2024,7(15):1-16.
[32]周维东.公路路域太阳能供给潜力评估研究[D].西安:长安大学,2023.
ZHOU Wei-dong.Research on the evaluation of solar energy supply potential in road area[D].Xi'an:Chang'an University,2023.
[33]吴贞龙,徐 政,胡晓燕,等.倾斜面太阳辐照度实用计算模型的研究[J].太阳能学报,2016,37(3):787-793.
WU Zhen-long,XU Zheng,HU Xiao-yan,et al.Study on practical calculating models of irradiance intensity on tilted surfaces[J].Acta Energiae Solaris Sinica,2016,37(3):787-793.
[34]唐 珂.高速公路营运期能耗水平分析与测算方法研究[D].西安:长安大学,2013.
TANG Ke.Analysis and calculation method of energy consumption level in expressway during operation period[D].Xi'an:Chang'an University,2013.
[35]曹 敏,朱晓晨.中国地表太阳总辐射空间化模拟及其时空特征分析[J].气象研究与应用,2021,42(2):24-28.
CAO Min,ZHU Xiao-chen.Spatial simulation and spatiotemporal changes analysis of total solar radiation on the earth's surface in China[J].Journal of Meteorological Research and Application,2021,42(2):24-28.

相似文献/References:

[1]武建民,祝伟,马士让,等.应用加权密切值法评价基质沥青抗老化性能[J].长安大学学报(自然科学版),2012,32(01):0.
[2]张宜洛,袁中山.SMA混合料结构参数的影响因素[J].长安大学学报(自然科学版),2012,32(01):0.
[3]陈璟,袁万杰,郝培文,等.微观指标对沥青热稳定性能的影响[J].长安大学学报(自然科学版),2012,32(01):0.
[4]周兴业,刘小滔,王旭东,等.基于轴载谱的沥青路面累计当量轴次换算[J].长安大学学报(自然科学版),2012,32(01):0.
[5]李祖仲,王伯禹,陈拴发,等.轴载对复合式路面应力吸收层荷载应力的影响[J].长安大学学报(自然科学版),2012,32(01):0.
[6]关博文,刘开平,陈拴发,等.水镁石纤维路面混凝土路用性能[J].长安大学学报(自然科学版),2012,32(01):0.
[7]翁效林,王玮,张留俊,等.拓宽路基荷载下管桩复合地基沉降变形模式[J].长安大学学报(自然科学版),2012,32(01):0.
[8]穆柯,王选仓,柳志军,等.基于非饱和渗流原理的路基含水率预估[J].长安大学学报(自然科学版),2012,32(01):0.
[9]李振霞,陈渊召.不同类型半刚性基层材料性能的试验与分析[J].长安大学学报(自然科学版),2012,32(01):0.
[10]马 骉,马 晋,周宇鹏.沥青混合料降温收缩断裂特性[J].长安大学学报(自然科学版),2012,32(03):1.
　MA Biao,MA Jin,ZHOU Yu-peng.Cooling shrinkage fracture characteristic of asphalt mixture[J].Journal of Chang’an University (Natural Science Edition),2012,32(5):1.

备注/Memo

备注/Memo:
收稿日期:2024-05-13
基金项目:国家重点研发计划项目(2021YFB2601300); 国家自然科学基金项目(52108393)
作者简介:韩振强(1991-),男,河北邯郸人,副教授,工学博士,E-mail:jasonhan029@126.com。
更新日期/Last Update: 2024-10-20