Volume 24 Issue 4
Aug.  2024
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HU Li-qun, HUANG Hong-xin, SHA Ai-min. Potential assessment of photovoltaic power in expressway area in China[J]. Journal of Traffic and Transportation Engineering, 2024, 24(4): 1-13. doi: 10.19818/j.cnki.1671-1637.2024.04.001
Citation: HU Li-qun, HUANG Hong-xin, SHA Ai-min. Potential assessment of photovoltaic power in expressway area in China[J]. Journal of Traffic and Transportation Engineering, 2024, 24(4): 1-13. doi: 10.19818/j.cnki.1671-1637.2024.04.001

Potential assessment of photovoltaic power in expressway area in China

doi: 10.19818/j.cnki.1671-1637.2024.04.001
Funds:

National Key Research and Development Program of China 2021YFB2601300

More Information
  • Author Bio:

    HU Li-qun(1971-), male, professor, PhD, hlq123@126.com

  • Received Date: 2024-02-09
    Available Online: 2024-09-26
  • Publish Date: 2024-08-28
  • 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 1 523.865 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 4.9×105 hm2 by the end of 2020 and 6.4×105 hm2 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.

     

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  • [1]
    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. (in Chinese)
    [2]
    REDISKE G, SILUK J C M, GASTALDO N G, et al. Determinant factors in site selection for photovoltaic projects: a systematic review[J]. International Journal of Energy Research, 2019, 43(5): 1689-1701. doi: 10.1002/er.4321
    [3]
    KIM B, HAN S, HEEO 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. doi: 10.1016/j.renene.2019.11.021
    [4]
    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, 2017, 81: 3061-3069.
    [5]
    CHEN Jie, YU Zhong-hui, CHEN Guo-yan, et al. Calculation of carbon emission during expressway operation period based on energy consumption analysis[J]. IOP Conference Series: Earth and Environmental Science, 2021, DOI: 10.1088/1755-1315/647/1/012190.
    [6]
    尚春静, 张智慧, 李小冬. 高速公路生命周期能耗和大气排放研究[J]. 公路交通科技, 2010, 27(8): 149-154.

    SHANG Chun-jing, ZHANG Zhi-hui, LI Xiao-dong. Research on energy consumption and emission of life cycle of expressway[J]. Journal of Highway and Transportation Research, 2010, 27(8): 149-154. (in Chinese)
    [7]
    朱晓艳, 叶瑞云. 高速公路建设项目节能评价探讨[J]. 公路, 2014, 59(8): 6-10.

    ZHU Xiao-yan, YE Rui-yun. Discussion on the energy-saving evaluation of expressway construction projects[J]. Highway, 2014, 59(8): 6-10. (in Chinese)
    [8]
    ZHANG Zi-qi, CHEN Zhong, XING Qiang, et al. Evaluation of the multi-dimensional growth potential of China's public charging facilities for electric vehicles through 2030[J]. Utilities Policy, 2022, 75(4): 1-12.
    [9]
    杜豫川, 刘成龙, 吴荻非, 等. 新一代智慧高速公路系统架构设计[J]. 中国公路学报, 2022, 35(4): 203-214.

    DU Yu-chuan, LIU Cheng-long, WU Di-fei, et al. Framework of the new generation of smart highway[J]. China Journal of Highway and Transport, 2022, 35(4): 203-214. (in Chinese)
    [10]
    杨敏, 王立超, 张健, 等. 面向智慧高速的合流区协作车辆冲突解脱协调方法[J]. 交通运输工程学报, 2020, 20(3): 217-224. doi: 10.19818/j.cnki.1671-1637.2020.03.020

    YANG Min, WANG Li-chao, ZHANG Jian, et al. Collaborative method of vehicle conflict resolution in merging area for intelligent expressway[J]. Journal of Traffic and Transportation Engineering, 2020, 20(3): 217-224. (in Chinese) doi: 10.19818/j.cnki.1671-1637.2020.03.020
    [11]
    吴建清, 宋修广. 智慧公路关键技术发展综述[J]. 山东大学学报(工学版), 2020, 50(4): 52-69.

    WU Jian-qing, SONG Xiu-guang. Review on smart highways critical technology[J]. Journal of Shandong University(Engineering Science), 2020, 50(4): 52-69. (in Chinese)
    [12]
    张昕冉, 孙洪运, 张立涛. 多场景智慧高速公路的交通气象观测站点布设[J]. 铁道科学与工程学报, 2022, 19(11): 3447-3456.

    ZHANG Xin-ran, SUN Hong-yun, ZHANG Li-tao. Locating road weather information system stations on multi-scenario smart expressway[J]. Journal of Railway Science and Engineering, 2022, 19(11): 3447-3456. (in Chinese)
    [13]
    SINGH R, SHARMA R, AKRAM S V, et al. Highway 4.0: digitalization of highways for vulnerable road safety development with intelligent IoT sensors and machine learning[J]. Safety Science, 2021, 143: 105407. doi: 10.1016/j.ssci.2021.105407
    [14]
    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.
    [15]
    蒋海峰, 黄森炎, 刘志强, 等. 公路交通设施与清洁能源融合创新技术与发展[J]. 公路交通科技, 2020, 37(增2): 1-5.

    JIANG Hai-feng, HUANG Sen-yan, LIU Zhi-qiang, et al. Innovative technology and development of integration of highway traffic facilities and clean energy[J]. Journal of Highway and Transportation Research and Development, 2020, 37(S2): 1-5. (in Chinese)
    [16]
    胡恒武, 查旭东, 吕瑞东, 等. 基于光伏发电的道路能量收集技术研究进展[J]. 材料导报, 2022, 36(20): 129-140.

    HU Heng-wu, ZHA Xu-dong, LYU Rui-dong, et al. Recent advances of energy harvesting technologies in road based on photovoltaic power generation[J]. Materials Reports, 2022, 36(20): 129-140. (in Chinese)
    [17]
    WADHAWAN S R, PEARCE J M. Power and energy potential of mass-scale photovoltaic noise barrier deployment: a case study for the U.S. [J]. Renewable and Sustainable Energy Reviews, 2017, 80: 125-132. doi: 10.1016/j.rser.2017.05.223
    [18]
    JUNG J, HAN S U, 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, DOI: 10.1016/j.apenergy.2019.03.101.
    [19]
    NEUMANN H M, SCHAER D, BAUMGARTNER F. The potential of photovoltaic carports to cover the energy demand of road passenger transport[J]. Progress in Photovoltaics, 2012, 20(6): 639-649. doi: 10.1002/pip.1199
    [20]
    李明霞. 太阳能光伏发电系统在高速公路领域的应用探讨[J]. 科技创新与应用, 2020(31): 177-178, 181.

    LI Ming-xia. Discussion on the application of solar photovoltaic power generation system in the field of highway[J]. Technology Innovation and Application, 2020(31): 177-178, 181. (in Chinese)
    [21]
    KUMAR D. Mapping solar energy potential of Southern India through geospatial technology[J]. Geocarto International, 2018, DOI: 10.1080/10106049.2018.1494759.
    [22]
    VAN DEN DOBBELSTEEN A, BROERSMA S, STREMKE S. Energy potential mapping for energy-producing neighborhoods[J]. International Journal of Sustainable Building Technology and Urban Development, 2011, 2(2): 170-176. doi: 10.5390/SUSB.2011.2.2.170
    [23]
    韩丹. 交通空间可再生能源规划策略研究[D]. 天津: 天津大学, 2018.

    HAN Dan. Research on planning strategy of renewable energy in transportation space[D]. Tianjin: Tianjin University, 2018. (in Chinese)
    [24]
    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. Energy consumption analysis and calculation method study of expressway operation period[D]. Xi'an: Chang'an University, 2013. (in Chinese)
    [25]
    马书红, 牛方方, 向前忠, 等. 高速公路营运期节能措施及其效果评价研究[J]. 公路, 2014, 59(10): 177-182.

    MA Shu-hong, NIU Fang-fang, XIANG Qian-zhong, et al. Research on energy-saving method and effect evaluation of expressway in service period[J]. Highway, 2014, 59(10): 177-182. (in Chinese)
    [26]
    朱泰英. 高速公路交通管理系统社会经济影响评价研究[D]. 长春: 吉林大学, 2004.

    ZHU Tai-ying. Study on assessing the socio-economic impact for freeway traffic management system[D]. Changchun: Jilin University, 2004. (in Chinese)
    [27]
    ZHANG Ling-yu, WANG Li, ZHANG Li-li, et al. An RSU deployment scheme for vehicle-infrastructure cooperated autonomous driving[J]. Sustainability, 2023, 15(4): 3847. doi: 10.3390/su15043847
    [28]
    苏勇勇. 山西省太阳能资源评估及规划管理研究[D]. 太原: 山西财经大学, 2022.

    SU Yong-yong. Study on evaluation and planning management of solar energy resources in Shanxi Province[D]. Taiyuan: Shanxi University of Finance and Economics, 2022. (in Chinese)
    [29]
    DESIDERI U, ZEPPARELLI F, MORETTINI V, et al. Comparative analysis of concentrating solar power and photovoltaic technologies: technical and environmental evaluations[J]. Applied Energy, 2013, 102: 765-784. doi: 10.1016/j.apenergy.2012.08.033
    [30]
    DAI Yi-qing, YIN Yan, LU Yun-di. Strategies to facilitate photovoltaic applications in road structures for energy harvesting[J]. Energies, 2021, 14(21): 1-14.
    [31]
    马书红, 向前忠, 唐珂, 等. 高速公路营运期能耗体系与统计指标研究[J]. 公路, 2013, 58(10): 146-150.

    MA Shu-hong, XIANG Qian-zhong, TANG Ke, et al. Research on energy consumption system and statistical indicators of expressway in operation period[J]. Highway, 2013, 58(10): 146-150. (in Chinese)
    [32]
    徐婷, 肖为. 高速公路项目能耗评估研究[J]. 科技创新与应用, 2014(12): 178.

    XU Ting, XIAO Wei. Assessment study on energy consumption of expressway projects[J]. Technology Innovation and Application, 2014(12): 178. (in Chinese)
    [33]
    吕嘉旭. 严寒地区高速公路项目能源消耗计算与评价——以集安至通化高速公路为例[D]. 长春: 吉林大学, 2017.

    LYU Jia-xu. Calculation and evaluation of energy consumption of expressway in severe cold area—an example of Ji'an to Tonghua Expressway[D]. Changchun: Jilin University, 2017. (in Chinese)
    [34]
    李志锋, 王小军. 高速公路运营期节能减排评估标准体系构建[J]. 公路交通技术, 2020, 36(3): 132-139.

    LI Zhi-feng, WANG Xiao-jun. Establishment of energy- saving and emission-reduction evaluation standard system in the operation stage of expressway[J]. Technology of Highway and Transport, 2020, 36(3): 132-139. (in Chinese)
    [35]
    甄梁. 高速公路节能评估理论与方法[D]. 西安: 长安大学, 2012.

    ZHEN Liang. Energy-saving evaluation theory and methods for expressway[D]. Xi'an: Chang'an University, 2012. (in Chinese)
    [36]
    LI Dong-qi, WANG Duan-yi. Decomposition analysis of energy consumption for an freeway during its operation period: a case study for Guangdong, China[J]. Energy, 2016, 97: 296-305.
    [37]
    ROBINSON J, BRASE G, GRISWOLD W, et al. Business models for solar powered charging stations to develop infrastructure for electric vehicles[J]. Sustainability, 2014, 6(10): 7358-7387.
    [38]
    POE C, FILOSA G. Alternative uses of highway rights-of-way accommodating renewable energy technologies[J]. Transportation Research Record, 2012(2270): 23-30.
    [39]
    VERONESE E, MANZOLINI G, MOSER D. Improving the traditional levelized cost of electricity approach by including the integration costs in the techno-economic evaluation of future photovoltaic plants[J]. International Journal of Energy Research, 2021, 45(6): 9252-9269.
    [40]
    VARTIAINEN E, MASSON G, BREYER C. PV LCOE in Europe 2015-2050[C]//WIP-Renewable Energies. 31st European Photovoltaic Solar Energy Conference. Munich: WIP-Renewable Energies, 2015: 3024 -3033.
    [41]
    DURRANI S P, BALLUFF S, WURZER L, et al. Photovoltaic yield prediction using an irradiance forecast model based on multiple neural networks[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(2): 255-267.
    [42]
    GUO Qiao-ming, LIANG Hua, LIAO Huan-wang, et al. Statistical analysis and research on energy consumption in highway service area[C] //IEEE. 2022 7th International Conference on Intelligent Computing and Signal Processing. New York: IEEE, 2022: 210-214.
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