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Quantifying the photovoltaic potential of highways in China
Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China.;Mälardalen Univ, Sch Business Soc & Engn, S-72123 Västerås, Sweden..
Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China.;Nanjing Normal Univ, Jiangsu Prov Key Lab NSLSCS, Sch Math Sci, Nanjing 210023, Peoples R China.;Nanjing Normal Univ, Sch Geog, 1 Wenyuan Rd, Nanjing 210023, Peoples R China..
Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China..
Nanjing Normal Univ, Key Lab Virtual Geog Environm, Minist Educ PRC, Nanjing 210023, Peoples R China.;State Key Lab Cultivat Base Geog Environm Evolut, Nanjing 210023, Peoples R China.;Jiangsu Ctr Collaborat Innovat Geog Informat Resou, Nanjing 210023, Peoples R China..
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2022 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 324, p. 119600-, article id 119600Article in journal (Refereed) Published
Abstract [en]

Installing photovoltaic (PV) modules on highways is considered a promising way to support carbon neutrality in China. However, collecting the area of the highway, and precisely assessing the shadow area of the highway under complex terrain remain challenges. That severely hinders the assessment of highway PV potential. To address these challenges, a spatiotemporal model is developed in this study to estimate the annual solar PV potential on highways over the whole Chinese territory. First, the areas of different highway segments are calculated based on highway network and highway toll stations. Second, hourly shadow area on highways created by nearby terrain is estimated based on a digital elevation model (DEM). When calculating the highway PV potential, the solar irradiation received in these shadow areas is regarded as zero. Finally, the PV potential of all lanes and emergency lanes was estimated at the prefecture-level city scale using surface radiation data and radiation assessment models. Based on the highway data with a total mileage of 143,684 km at the end of 2020, the results show that the annual PV potential is 3,932 TW and that the corresponding installed capacity is 700.85 GW, which can generate clean electricity at a rate of up to 629.06 TWh. The annual PV potential of highways in the southeast is greater than that in the northwest owing to the higher highway density in the southeast. This study provides a reference basis for highway PV construction planning and suitably assessment in each region of China for PV highway development.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 324, p. 119600-, article id 119600
Keywords [en]
Photovoltaic highway, Hillshade, Carbon neutrality, Intelligent transportation
National Category
Energy Systems Civil Engineering
Identifiers
URN: urn:nbn:se:kth:diva-319756DOI: 10.1016/j.apenergy.2022.119600ISI: 000858743200005Scopus ID: 2-s2.0-85135701268OAI: oai:DiVA.org:kth-319756DiVA, id: diva2:1701751
Note

QC 20221007

Available from: 2022-10-07 Created: 2022-10-07 Last updated: 2022-10-07Bibliographically approved

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Yan, Jinyue

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