Prediction of the spatiotemporal passenger distribution of a large airport terminal and its impact on energy simulation
As the essential infrastructure and one of the transportation centers, most cities now have more than one airport. Mass constructions of sustainable airports play an important role for sustainable cities and societies. The energy consumption of airport terminals poses a major challenge to the carbon neutrality policy due to the high energy demand and round-the-clock operation of these terminals. One major direction for sustainable future is to make buildings smart in terms of energy use and management. One of the solutions is to refine the energy supply according to needs, which calls for knowledge of the locations and dwell duration of passengers in the airport. With this background, this study established a spatiotemporal passenger distribution model to describe the transient passenger distribution in 14 characteristic zones of an airport terminal. After validation against airport operation data and results from passenger flow simulation software AnyLogic, the passenger flows calculated by the spatiotemporal model were inputted into the energy simulation software IES as well as the traditional calculation method to compare the energy consumptions. Results showed that the difference of the cooling and heating loads from the two models was 7%–148.9% in different zones. And the designed annual cooling and heating consumption of the terminal given by the proposed passenger distribution model was 11.3% lower. The proposed model could potentially optimize the HVAC system of future airport design.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/22106707
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Supplemental Notes:
- © 2021 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Gu, Xianliang
- Xie, Jingchao
- Huang, Chengyang
- Ma, Kai
- Liu, Jiaping
- Publication Date: 2022-3
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; Photos; References; Tables;
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Serial:
- Sustainable Cities and Society
- Volume: 78
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2210-6707
- Serial URL: http://www.sciencedirect.com/science/journal/22106707?sdc=2
Subject/Index Terms
- TRT Terms: Airport terminals; Energy consumption; Heating, cooling and ventilation equipment; Passenger traffic; Predictive models; Traffic flow
- Identifier Terms: AnyLogic (Computer program)
- Subject Areas: Aviation; Energy; Operations and Traffic Management; Planning and Forecasting; Terminals and Facilities;
Filing Info
- Accession Number: 01834973
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 31 2022 9:45AM