کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4917462 1428380 2017 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of canopy-layer air and mean radiant temperature simulations by a microclimate model over a tropical residential neighbourhood
ترجمه فارسی عنوان
ارزیابی لایه های هواپیما لایه ای و میانگین شبیه سازی دمای تابشی با استفاده از یک مدل میکرو کلیم در محدوده ی مسکونی گرمسیری
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
The performance of a 3D urban microclimate model (ENVI-met Version 3.1) is evaluated with data collected during mostly clear and calm conditions in a compact low-rise residential neighbourhood of tropical Singapore. Observations are obtained from seven canopy-layer air temperature, Ta, sensors at 2 m above ground, including a fully equipped microclimate station measuring mean radiant temperature, MRT, at 1.1 m above ground. The model is capable of capturing the spatial variability across all stations during most of the eight simulation days. Spatially-averaged Ta predictions are closer to the observations during wet (based on five simulation days) compared to dry (three days) periods. Daytime model performance for MRT is variable but peak values are well predicted. Systematic errors dominate most simulations. The present model evaluation metrics are smaller than reported in similar work, which is likely due to the more accurate determination of model input variables using locally measured soil relative humidity and leaf area density profiles. A modification to how the model calculates MRT also helps to improve its daytime performance. Finally, the model is used to predict the effect of five temperature mitigation/planning strategies. The varying results highlight the micro- and bioclimatic complexities inherent in a heterogeneous urban system, with no one scenario providing consistent cooling throughout both day- and nighttime. Overall the present results suggest that ENVI-met is a useful planning tool for assessing Ta and daytime extremes in outdoor thermal comfort, but the model requires detailed local information for proper initialization and awareness of its limitations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Building and Environment - Volume 112, 1 February 2017, Pages 177-189
نویسندگان
, ,