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Effects of Street Orientation and Canyon Geometry on Thermal Improvement Efficiency of Retractable Sunshade Canopies at Pedestrian Level

    Fund Project: This research was supported by Natural Science Basic Research Program Project of Shaanxi Province (No. 2024JC-YBQN-0488), and Basic Scientific Research Projects of National Universities (No. D5000230151).
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    1. 36 ENVI-met summer solstice scenarios simulate hourly AT, MRT & PET (6:00–20:00) for retractable building sunshades with varied street orientations, widths and canopy lengths.

      Retractable canopies cut daily average PET by up to 4.67°C, mitigating extreme summer heat harm to residents and lowering buildings’ cooling energy demand.

      E-W streets see linear thermal relief with longer canopies; 12m narrow streets with 3.0m canopies deliver the strongest cooling effect.

      12m N-S streets with full-length canopies trap excess heat; the optimal N-S setup is 18m width + 3.0m canopies (max PET drop: -1.65°C).

      Dynamic adjustable shading systems are superior to static fixed layouts for balancing pedestrian thermal comfort and building cooling loads.

  • The extremely hot summer in China significantly exerts adverse impacts on residents' health and intensifies building cooling energy demands. This study quantifies the thermal effects of building-mounted, retractable sunshade canopies at the pedestrian level. Hourly values (6:00–20:00) of air temperature (AT), mean radiant temperature (MRT), and physiological equivalent temperature (PET) of 36 designed scenarios on the summer solstice were simulated via the ENVI-met software. The designed experimental scenarios integrated two street orientations (east-west and north-south), three street widths (D = 12, 18, 24 m), and five sunshade canopy lengths (d = 1.0, 1.5, 2.0, 2.5, 3.0 m). The results demonstrate that sunshade canopies can effectively improve the localized thermal environment, resulting in a maximum diurnal average PET reduction of 4.67°C. In the east-west street canyons, thermal mitigation effects exhibit a monotonic linear relationship with street canopy extension, with the peak efficiency occurred in the minimum D (12 m) coupled with the maximum d (3.0 m). A distinct adverse "heat retention" anomaly occurs in narrow north-south street (12 m wide) with maximal canopy length. Consequently, for north-south streets the optimal diurnal PET strategy shifts from the narrowest configuration to a medium D (18 m) combined with the maximum d (3.0 m), delivering a maximum local thermal comfort improvement corresponding to a PET reduction of -1.65°C. These empirical findings demonstrate the need to shift from rigid, static geometric layouts to dynamic and responsive shading regulation frameworks. This approach can synergistically optimize pedestrian-level outdoor thermal environment and cooling energy use of adjacent building.
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  • [1] Bongaarts J. (2024). IPCC, 2023: Climate Change 2023: Synthesis Report. Popul. Dev. Rev. 50:577−580. DOI:10.1111/padr.12632

    View in Article CrossRef Google Scholar

    [2] Qin P., Xie Z. and Jia B. (2026). Increasing exposure to compound heatwave and drought events in China during 1961–2020. Atmos. Res. 340:109099. DOI:10.1016/j.atmosres.2026.109099

    View in Article CrossRef Google Scholar

    [3] China Meteorological Administration, National Climate Committee. (2026). 2025 China Climate Bulletin. China Meteorological Administration.

    View in Article Google Scholar

    [4] Meehl G.A. and Tebaldi C. (2004). More intense, more frequent, and longer lasting heat waves in the 21st century. Science 305:994−997. DOI:10.1126/science.1098704

    View in Article CrossRef Google Scholar

    [5] Gao J., Sun P., Huang M., et al. (2026). The interplay of heatwaves, air pollution, and green space on all-cause mortality in older adults with diabetes mellitus: a national cohort study. BMC Public Health 26:27606. DOI:10.1186/s12889-026-27606-8

    View in Article CrossRef Google Scholar

    [6] Wu R., Zhang J., Luo Z., et al. (2026). Spatiotemporal evolution of heat health risks in megacities at the township and subdistrict scales: A case study of Chongqing's central urban area. Urban Clim. 67:102920. DOI:10.1016/j.uclim.2026.102920

    View in Article CrossRef Google Scholar

    [7] Htay W.Z., Ng S.F.C., Kim Y., et al. (2026). Heatwaves, Cold Spells, and Renal Disease Mortality in Japan: Vulnerable Populations and Temporal Trends. Environ. Health 4:919−928. DOI:10.1021/envhealth.5c00468

    View in Article CrossRef Google Scholar

    [8] Pinto A., Pennisi F., Borlini S., et al. (2026). Effects of Heat Waves on Hospitalizations, Emergency Department Visits, and Outpatient Care in Frail Older Adults: A Systematic Review and Meta-Analysis. Diseases 14:176. DOI:10.3390/diseases14050176

    View in Article CrossRef Google Scholar

    [9] Zhang J., Zhu G., Yin J., et al. (2024). Analysis of summer high temperature observations based on different sub surfaces. Earth Sci. Inform. DOI:10.1007/s12145-024-01439-8

    View in Article Google Scholar

    [10] Unal M. and Middel A. (2025). Improving thermal comfort in hot-arid Phoenix, Arizona courtyards: Exploring the cooling benefits of ground surface cover and shade. Build. Environ. 278:113001. DOI:10.1016/j.buildenv.2025.113001

    View in Article CrossRef Google Scholar

    [11] Bao J., Xu L., Shi Y., et al. (2023). The Influence of Street Morphology on Thermal Environment Based on ENVI-met Simulation. ISPRS Int. J. Geo-Inf. 12:303. DOI:10.3390/ijgi12080303

    View in Article CrossRef Google Scholar

    [12] Jayasinghe S., Jayasooriya V., Dassanayake M.S., et al. (2024). Effects of street tree configuration and placement on streetside thermal environment within a tropical urban canyon. Int. J. Biometeorol. 68:1133−1142. DOI:10.1007/s00484-024-02653-1

    View in Article CrossRef Google Scholar

    [13] Zou M. and Zhang H. (2021). Cooling strategies for thermal comfort in cities: a review of key methods in landscape design. Environ. Sci. Pollut. Res. 28:62640−62650. DOI:10.1007/s11356-021-15172-y

    View in Article CrossRef Google Scholar

    [14] Hoppe P. (1999). The physiological equivalent temperature - a universal index for the biometeorological assessment of the thermal environment. Int. J. Biometeorol. 43:71−75. DOI:10.1007/s004840050118

    View in Article CrossRef Google Scholar

    [15] Sargazi A.M., Heidari A., Davtalab J., et al. (2025). Comparative reliability assessment of PET and UTCI thermal comfort indices using Monte Carlo simulation. Sci. Rep. 16:3431. DOI:10.1038/s41598-025-33440-6

    View in Article CrossRef Google Scholar

    [16] Zhang M., Yan H., Wu R., et al. (2026). Quantifying pedestrian thermal comfort under extreme heat using 360° street view factors. Sustain. Cities Soc. 146:107515. DOI:10.1016/j.scs.2026.107515

    View in Article CrossRef Google Scholar

    [17] Aydin E.E., Chen Z., Ortner P.F., et al. (2026). Universal Thermal Climate Index (UTCI)-adjusted pedestrian accessibility: Urban design exploration for climate-resilience in tropical climates. Sustain. Cities Soc. 143:107335. DOI:10.1016/j.scs.2026.107335

    View in Article CrossRef Google Scholar

    [18] Borsi S.H., Khodadadi N., Khanjani N., Dastoorpoor M. (2021). Physiological equivalent temperature (PET) index and respiratory hospital admissions in Ahvaz, southwest of Iran. Environ. Sci. Pollut. Res. 28:51888−51896. DOI:10.1007/s11356-021-14345-z

    View in Article CrossRef Google Scholar

    [19] Ma X., Zhang L., Guo M., Zhao J. (2021). The effect of various urban design parameter in alleviating urban heat island and improving thermal health. Environ. Sci. Pollut. Res. 28:38406−38425. DOI:10.1007/s11356-021-13179-z

    View in Article CrossRef Google Scholar

    [20] Sharafkhani R., Khanjani N., Bakhtiari B., et al. (2020). The effect of physiological equivalent temperature index variations on mortality in Urmia (The Northwest of Iran). Urban Clim. 32:100595. DOI:10.1016/j.uclim.2020.100595

    View in Article CrossRef Google Scholar

    [21] Cui D.J., Zhang Y., Li X.Y., et al. (2022). Effects of different vertical façade greenery systems on pedestrian thermal comfort in deep street canyons. Urban For. Urban Green. 72:127582. DOI:10.1016/j.ufug.2022.127582

    View in Article CrossRef Google Scholar

    [22] Zhao H., Duan H., Wang Y., et al. (2026). A systematic review of outdoor thermal comfort research: Integrating climate zones, population groups, and methodological frameworks. Sustain. Cities Soc. 143:107339. DOI:10.1016/j.scs.2026.107339

    View in Article CrossRef Google Scholar

    [23] Roshan G., Yousefi R., Kovacs A., et al. (2018). A comprehensive analysis of physiologically equivalent temperature changes of Iranian selected stations for the last half century. Theor. Appl. Climatol. 131:19−41. DOI:10.1007/s00704-016-1950-3

    View in Article CrossRef Google Scholar

    [24] Shen P., Wang M., Ma H., et al. (2024). On the two-way interactions of urban thermal environment and air pollution: A review of synergies for identifying climate-resilient mitigation strategies. Build. Simul. 18:1−21. DOI:10.1007/s12273-024-1210-X

    View in Article CrossRef Google Scholar

    [25] Lee J., Kim M., Chon J. (2026). Street greenery design strategies to mitigate urban heat islands using the 2D and 3D streetscape indices. Trees For. People 23:101111. DOI:10.1016/j.tfp.2025.101111

    View in Article CrossRef Google Scholar

    [26] Priyadarshni P. and Pandey P. (2026). A footprint of UHI in India: a systematic review of causative factors, impacts and mitigation strategies. Front. Sustain. Cities 7:1649138. DOI:10.3389/frsc.2025.1649138

    View in Article CrossRef Google Scholar

    [27] Tsirigoti D. and Gkyrtis K. (2026). Recycled Pavement Materials and Urban Microclimate: Albedo and Thermal Capacity Effects on Heat Island. Solar 6:5. DOI:10.3390/sol6010005

    View in Article CrossRef Google Scholar

    [28] Mohsen A., Hassan S.T. and Mansoureh T. (2026). Evaluating the Efficiency of Materials and Vegetation in Enhancing Outdoor Thermal Comfort in Hot and Arid Climates. J. Urban Plann. Dev. 152(3). DOI:10.1061/jupddm.upeng-5781.

    View in Article Google Scholar

    [29] Jonathan R., Lin T., Lun I., et al. (2026). The impact of building façade materials toward outdoor thermal comfort and urban heat island. IOP Conference Series: Earth Environ. Sci. 158:012011. DOI:10.1088/1755-1315/1582/1/012011

    View in Article CrossRef Google Scholar

    [30] Zheng Z., Lin X., Chen L., et al. (2024). Effects of urbanization and topography on thermal comfort during a heat wave event. Sustain. Cities Soc. 102:105233. DOI:10.1016/j.scs.2024.105233

    View in Article CrossRef Google Scholar

    [31] Perini K., Chokhachian A., Dong S., Auer T. (2017). Modeling and simulating urban outdoor comfort: Coupling ENVI-Met and TRNSYS. Energy Build. 152:373−384. DOI:10.1016/j.enbuild.2017.07.061

    View in Article CrossRef Google Scholar

    [32] Tsoka S., Tsikaloudaki A., Theodosiou T. (2018). Analyzing the ENVI-met microclimate model's performance and assessing cool materials and urban vegetation applications-A review. Sustain. Cities Soc. 43:55−76. DOI:10.1016/j.scs.2018.08.009

    View in Article CrossRef Google Scholar

    [33] Yang Y.J., Zhou D., Wang Y.P., et al. (2019). Economical and outdoor thermal comfort analysis of greening in multistory residential areas. Sustain. Cities Soc. 51:101730. DOI:10.1016/j.scs.2019.101730

    View in Article CrossRef Google Scholar

    [34] Zhu Z.Z., Zhou D., Wang Y.P., et al. (2021). Assessment of urban surface and canopy cooling strategies in high-rise residential communities. J. Clean. Prod. 288:125599. DOI:10.1016/j.jclepro.2020.125599

    View in Article CrossRef Google Scholar

  • Cite this article:

    Zhu Z., Wang D., Ma C., et al. (2026). Effects of Street Orientation and Canyon Geometry on Thermal Improvement Efficiency of Retractable Sunshade Canopies at Pedestrian Level. Energy Use 2:100058. https://doi.org/10.59717/ipj.energy-use.2026.100058
    Zhu Z., Wang D., Ma C., et al. (2026). Effects of Street Orientation and Canyon Geometry on Thermal Improvement Efficiency of Retractable Sunshade Canopies at Pedestrian Level. Energy Use 2:100058. https://doi.org/10.59717/ipj.energy-use.2026.100058

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