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Analysis of the Thermal Environment in Pedestrian Space Using 3D Thermal Imaging

Author

Listed:
  • Xuexiu Zhao

    (Department of Architecture and Urban Planning, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China)

  • Yanwen Luo

    (Academy of Architecture and Arts, Guangxi Arts University, Nanning 530007, China)

  • Jiang He

    (Department of Architecture and Urban Planning, College of Civil Engineering and Architecture, Guangxi University, Nanning 530004, China
    Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Nanning 530004, China)

Abstract

Pedestrian space is an important place for people’s outdoor activities. Its thermal environment affects pedestrian walking experience, route selection and physical health. This study presents a 3D thermography-based method to analyze and evaluate the spatial distribution of thermal comfort. The proposed 3D thermal image was generated using 3D city models captured by an unmanned aerial vehicle (UAV) and thermal images gathered by an infrared camera. It can visualize construction elements, but also simply output surface temperatures at selected points. This paper described the process of using 3D thermal images to analyze the built environment, and selected two pedestrian spaces as case study objects. Their thermal images and mean radiant temperatures (MRT) were obtained from field measurement data collected by a drone and infrared camera. The following findings were obtained: (a) the MRT difference in the pedestrian space between sunlit and shaded areas was more than 3 °C; (b) the MRT values at the measurement points near vegetation were lower; (c) when the ratio of street height to width (H/W) was larger, the MRT values at all measurement points varied slightly. These findings can be used for the designers to evaluate and improve the thermal environment in pedestrian space.

Suggested Citation

  • Xuexiu Zhao & Yanwen Luo & Jiang He, 2020. "Analysis of the Thermal Environment in Pedestrian Space Using 3D Thermal Imaging," Energies, MDPI, vol. 13(14), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:14:p:3674-:d:385461
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    References listed on IDEAS

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    1. Guo, Hongshan & Aviv, Dorit & Loyola, Mauricio & Teitelbaum, Eric & Houchois, Nicholas & Meggers, Forrest, 2020. "On the understanding of the mean radiant temperature within both the indoor and outdoor environment, a critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
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    5. Ariane Middel & Jonas Lukasczyk & Ross Maciejewski, 2017. "Sky View Factors from Synthetic Fisheye Photos for Thermal Comfort Routing—A Case Study in Phoenix, Arizona," Urban Planning, Cogitatio Press, vol. 2(1), pages 19-30.
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    Cited by:

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    2. Haichao Zheng & Xue Zhong & Junru Yan & Lihua Zhao & Xintian Wang, 2020. "A Thermal Performance Detection Method for Building Envelope Based on 3D Model Generated by UAV Thermal Imagery," Energies, MDPI, vol. 13(24), pages 1-18, December.
    3. Maria Inês Conceição & Eusébio Conceição & António Grilo & Meysam Basiri & Hazim Awbi, 2023. "The Application of UAVs in the Evaluation of Thermal Comfort Levels in Buildings Equipped with Internal Greenhouses," Clean Technol., MDPI, vol. 5(3), pages 1-35, September.

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