首页> 外文会议>ES2011;International conference on energy sustainability >A NEW MODELING APPROACH TO FORECAST BUILDING ENERGY DEMANDS DURING EXTREME HEAT EVENTS IN COMPLEX CITIES
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A NEW MODELING APPROACH TO FORECAST BUILDING ENERGY DEMANDS DURING EXTREME HEAT EVENTS IN COMPLEX CITIES

机译:复杂城市中极端高温事件预测建筑物能源需求的新建模方法

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The thermal response of a large city including the energy production aspects of it are explored for a large and complex city using urbanized atmospheric mesoscale modeling. The Weather Research and Forecasting (WRF) mesocale model is coupled to a multi-layer urban canopy model that considers thermal and mechanical effects of the urban environment including a building scale energy model to account for anthropogenic heat contributions due to indoor-outdoor temperature differences. This new urban parameterization is used to evaluate the evolution and the resulting urban heat island formation associated to a 3-day heat wave in New York City (NYC) during the summer of 2010. High resolution (250 m.) urban canopy parameters (UCPs) from the National Urban Database were employed to initialize the multi-layer urban parameterization. The precision of the numerical simulations is evaluated using a range of observations. Data from a dense network of surface weather stations, wind profilers and Lidar measurements are compared to model outputs over Manhattan and its surroundings during the 3-days event. The thermal and drag effects of buildings represented in the multilayer urban canopy model improves simulations over urban regions giving better estimates of the surface temperature and wind speed. An accurate representation of the nocturnal urban heat island registered over NYC in the event was obtained from the improved model. The accuracy of the simulation is further assessed against more simplified urban parameterizations models with positive results with new approach. Results are further used to quantify the energy consumption of the buildings during the heat wave, and to explore alternatives to mitigate the intensity of the UHI during the extreme event.
机译:使用城市化的大气中尺度模型,对一个大型而复杂的城市,探索了一个大城市的热响应,包括其能源生产方面。气象研究和预报(WRF)中层模型与多层城市冠层模型耦合,该模型考虑了城市环境的热和机械效应,其中包括建筑规模的能量模型,以解释由于室内外温度差异而引起的人为热量贡献。此新的城市参数化用于评估2010年夏季与纽约市(NYC)3天热浪相关的演变以及由此产生的城市热岛形成。高分辨率(250 m。)城市冠层参数(UCPs)使用国家城市数据库中的)来初始化多层城市参数化。数值模拟的精度通过一系列观察进行评估。在为期三天的活动中,将密集的地面气象站,风廓线仪和激光雷达测量网络的数据与曼哈顿及其周边地区的模型输出进行了比较。多层城市雨棚模型中代表的建筑物的热力和阻力效应改善了城市区域的模拟,从而更好地估计了地表温度和风速。从改进的模型中获得了在纽约市上登记的夜间城市热岛的准确表示。通过使用新方法,将针对更简化的城市参数化模型进一步评估模拟的准确性,并获得积极的结果。结果可进一步用于量化热浪期间建筑物的能耗,并探索在极端事件中减轻UHI强度的替代方案。

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