PanoMRT: Panoramic infrared thermography to model human thermal exposure and comfort

PanoMRT: Panoramic infrared thermography to model human thermal exposure and comfort
复制标题

PanoMRT:全景红外热成像模拟人体热暴露和舒适度

DOI:
10.1016/j.scitotenv.2022.160301
复制
发表时间:
2023
影响因子:
9.8
通讯作者:
Schneider, Florian A.
Schneider, Florian A.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Middel, Ariane;Huff, Matthew;Krayenhoff, E. Scott;Udupa, Ananth;Schneider, Florian A.

文献摘要

相似文献

随着夏季热浪成为全球新常态,模拟人体热暴露和舒适度以评估和缓解城市过热对于维护城市宜居性至关重要。我们引入了PanoMRT,一个开源的人体生物特征模型,用于从热等矩形360°云图和标准天气信息(空气温度,相对湿度,风速)计算平均辐射温度(TMRT),生理等效温度(PET)和通用热气候指数(UTCI)。我们使用旋转臂上的FLIR Duo Pro R热成像相机和移动的人类生物气象仪器平台MaRTy进行现场观察,验证了美国亚利桑那州滕佩炎热、干燥、晴朗夏日的模型。我们观察和模拟TMRT和热舒适的19个网站与不同的地面覆盖(草地、混凝土、沥青)、天空视野系数、曝光(阳光、阴影)和阴影类型PanoMRT表现良好,TMRT的均方根误差(RMSE)为4.1 °C,PET为2.6 °C,UTCI为1.2 °C,满足ISO 7726标准中设定的±5 °C的精度要求,用于热应力和冷应力研究。RayMan参考模型在没有测量表面温度强迫的情况下运行显示,准确的长波辐射通量估计对于满足±5 °C阈值至关重要,特别是对于有阴影的位置和在正午期间,当表面温度达到峰值时,长波模拟误差最大。这项研究表明了空间分辨的三维表面温度数据的重要性,热暴露和舒适性建模捕捉复杂的长波辐射暴露模式造成的异质性,在建筑配置和材料的辐射和热性能的建筑环境。
As summer heat waves become the new normal worldwide, modeling human thermal exposure and comfort to assess and mitigate urban overheating is crucial to uphold livability in cities. We introducePanoMRT, an open source human-biometeorological model to calculate Mean Radiant Temperature (TMRT), Physiologically Equivalent Temperature (PET), and the Universal Thermal Climate Index (UTCI) from thermal equirectangular 360° panoramas and standard weather information (air temperature, relative humidity, wind speed). We validated the model for hot, dry, clear summer days in Tempe, Arizona, USA with in-situ observations using a FLIR Duo Pro R thermal camera on a rotating arm and the mobile human-biometeorological instrument platform MaRTy. We observed and modeledTMRTand thermal comfort for 19 sites with varying ground cover (grass, concrete, asphalt), sky view factor, exposure (sun, shade), and shade type (engineered, natural) six times per day.PanoMRTperformed well with a Root Mean Square Error (RMSE) of 4.1 °C forTMRT, 2.6 °C forPET, and 1.2 °C forUTCI, meeting the accuracy requirement of ±5 °C set in the ISO 7726 standard for heat and cold stress studies.RayManreference model runs without measured surface temperature forcing reveal that accurate longwave radiative flux estimations are crucial to meet the ±5 °C threshold, particularly for shaded locations and during midday when surface temperatures peak and longwave modeling errors are largest. This study demonstrates the importance of spatially resolved 3D surface temperature data for thermal exposure and comfort modeling to capture complex longwave radiation exposure patterns resulting from heterogeneity in built configuration and material radiative and thermal properties in the built environment.