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National level assessment of using existing airport infrastructures for photovoltaic deployment

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  • Jiang, Mingkun
  • Qi, Lingfei
  • Yu, Ziyi
  • Wu, Dadi
  • Si, Pengfei
  • Li, Peiran
  • Wei, Wendong
  • Yu, Xinhai
  • Yan, Jinyue

Abstract

The airport is one of the most fundamental infrastructures in our society, its terminal buildings and parking lots are ideal locations for photovoltaic (PV) installation. The future trend of the electrification of the aviation and automobile industries will increase the electricity demand at airports calls for the integration of PV systems with airport infrastructure. Understanding the benefits of airport PV systems is crucial for the stakeholders including investors, project developers and policymakers to promote PV sector development. Thus, evaluation of the PV potential and relevant economic performance of airports is essential. Combined with the geographic information system (GIS), the PV potential of the civil airports in China is investigated. The results show that potential PV capacity of China’s 239 civil airports reaches up to 2.50 GW. The annual electricity demand of the aviation industry in 8 provinces can be self-satisfied via airport PV generation. Detailed economic analysis shows that all airport PV systems are profitable through appropriate investment and operation strategies.

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  • Jiang, Mingkun & Qi, Lingfei & Yu, Ziyi & Wu, Dadi & Si, Pengfei & Li, Peiran & Wei, Wendong & Yu, Xinhai & Yan, Jinyue, 2021. "National level assessment of using existing airport infrastructures for photovoltaic deployment," Applied Energy, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:appene:v:298:y:2021:i:c:s0306261921006218
    DOI: 10.1016/j.apenergy.2021.117195
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    as
    1. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    2. van der Kam, Mart & van Sark, Wilfried, 2015. "Smart charging of electric vehicles with photovoltaic power and vehicle-to-grid technology in a microgrid; a case study," Applied Energy, Elsevier, vol. 152(C), pages 20-30.
    3. Sukumaran, Sreenath & Sudhakar, K., 2017. "Fully solar powered airport: A case study of Cochin International airport," Journal of Air Transport Management, Elsevier, vol. 62(C), pages 176-188.
    4. Zhou, Wenji & Wang, Tao & Yu, Yadong & Chen, Dingjiang & Zhu, Bing, 2016. "Scenario analysis of CO2 emissions from China’s civil aviation industry through 2030," Applied Energy, Elsevier, vol. 175(C), pages 100-108.
    5. Andreas W. Schäfer & Sonia Yeh, 2020. "A holistic analysis of passenger travel energy and greenhouse gas intensities," Nature Sustainability, Nature, vol. 3(6), pages 459-462, June.
    6. Wang, Ning & Ren, Yixin & Zhu, Tao & Meng, Fanxin & Wen, Zongguo & Liu, Gengyuan, 2018. "Life cycle carbon emission modelling of coal-fired power: Chinese case," Energy, Elsevier, vol. 162(C), pages 841-852.
    7. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    8. Kim, Serena Y., 2020. "Institutional arrangements and airport solar PV," Energy Policy, Elsevier, vol. 143(C).
    9. Hong, Taehoon & Lee, Minhyun & Koo, Choongwan & Jeong, Kwangbok & Kim, Jimin, 2017. "Development of a method for estimating the rooftop solar photovoltaic (PV) potential by analyzing the available rooftop area using Hillshade analysis," Applied Energy, Elsevier, vol. 194(C), pages 320-332.
    10. Campana, Pietro Elia & Li, Hailong & Yan, Jinyue, 2013. "Dynamic modelling of a PV pumping system with special consideration on water demand," Applied Energy, Elsevier, vol. 112(C), pages 635-645.
    11. Huang, Zhaojian & Mendis, Thushini & Xu, Shen, 2019. "Urban solar utilization potential mapping via deep learning technology: A case study of Wuhan, China," Applied Energy, Elsevier, vol. 250(C), pages 283-291.
    12. Zhong, Teng & Zhang, Kai & Chen, Min & Wang, Yijie & Zhu, Rui & Zhang, Zhixin & Zhou, Zixuan & Qian, Zhen & Lv, Guonian & Yan, Jinyue, 2021. "Assessment of solar photovoltaic potentials on urban noise barriers using street-view imagery," Renewable Energy, Elsevier, vol. 168(C), pages 181-194.
    13. Lukač, Niko & Žlaus, Danijel & Seme, Sebastijan & Žalik, Borut & Štumberger, Gorazd, 2013. "Rating of roofs’ surfaces regarding their solar potential and suitability for PV systems, based on LiDAR data," Applied Energy, Elsevier, vol. 102(C), pages 803-812.
    14. Hou, Guofu & Sun, Honghang & Jiang, Ziying & Pan, Ziqiang & Wang, Yibo & Zhang, Xiaodan & Zhao, Ying & Yao, Qiang, 2016. "Life cycle assessment of grid-connected photovoltaic power generation from crystalline silicon solar modules in China," Applied Energy, Elsevier, vol. 164(C), pages 882-890.
    15. Gooding, James & Crook, Rolf & Tomlin, Alison S., 2015. "Modelling of roof geometries from low-resolution LiDAR data for city-scale solar energy applications using a neighbouring buildings method," Applied Energy, Elsevier, vol. 148(C), pages 93-104.
    16. Mwasilu, Francis & Justo, Jackson John & Kim, Eun-Kyung & Do, Ton Duc & Jung, Jin-Woo, 2014. "Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 501-516.
    17. Andreas W. Schäfer & Steven R. H. Barrett & Khan Doyme & Lynnette M. Dray & Albert R. Gnadt & Rod Self & Aidan O’Sullivan & Athanasios P. Synodinos & Antonio J. Torija, 2019. "Technological, economic and environmental prospects of all-electric aircraft," Nature Energy, Nature, vol. 4(2), pages 160-166, February.
    18. Jacques, David A. & Gooding, James & Giesekam, Jannik J. & Tomlin, Alison S. & Crook, Rolf, 2014. "Methodology for the assessment of PV capacity over a city region using low-resolution LiDAR data and application to the City of Leeds (UK)," Applied Energy, Elsevier, vol. 124(C), pages 28-34.
    19. Anurag Anurag & Jiemin Zhang & Jephias Gwamuri & Joshua M. Pearce, 2017. "General Design Procedures for Airport-Based Solar Photovoltaic Systems," Energies, MDPI, vol. 10(8), pages 1-19, August.
    20. Ilmi Granoff & J. Ryan Hogarth & Alan Miller, 2016. "Nested barriers to low-carbon infrastructure investment," Nature Climate Change, Nature, vol. 6(12), pages 1065-1071, December.
    21. Sukumaran, Sreenath & Sudhakar, K., 2018. "Performance analysis of solar powered airport based on energy and exergy analysis," Energy, Elsevier, vol. 149(C), pages 1000-1009.
    22. Scott Thacker & Daniel Adshead & Marianne Fay & Stéphane Hallegatte & Mark Harvey & Hendrik Meller & Nicholas O’Regan & Julie Rozenberg & Graham Watkins & Jim W. Hall, 2019. "Infrastructure for sustainable development," Nature Sustainability, Nature, vol. 2(4), pages 324-331, April.
    23. Xiaole Zhang & Xi Chen & Jing Wang, 2019. "A number-based inventory of size-resolved black carbon particle emissions by global civil aviation," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
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    Cited by:

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    5. Ollas, Patrik & Sigarchian, Sara Ghaem & Alfredsson, Hampus & Leijon, Jennifer & Döhler, Jessica Santos & Aalhuizen, Christoffer & Thiringer, Torbjörn & Thomas, Karin, 2023. "Evaluating the role of solar photovoltaic and battery storage in supporting electric aviation and vehicle infrastructure at Visby Airport," Applied Energy, Elsevier, vol. 352(C).
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