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National level assessment of using existing airport infrastructures for photovoltaic deployment
Key Laboratory of Pressure Systems and Safety (MOE), School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai 200237, China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
School of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China.
School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
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2021 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 298, article id 117195Article in journal (Refereed) Published
Abstract [en]

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. © 2021

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 298, article id 117195
Keywords [en]
Airport, China, Infrastructure, Photovoltaic, Techno-economic analysis
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-55117DOI: 10.1016/j.apenergy.2021.117195ISI: 000675854900003Scopus ID: 2-s2.0-85107677668OAI: oai:DiVA.org:mdh-55117DiVA, id: diva2:1580680
Available from: 2021-07-15 Created: 2021-07-15 Last updated: 2025-10-10Bibliographically approved

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Qi, LingfeiYan, Jinyue

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