Using Multiscale Atmospheric Modeling to Explore the Impact of Surface Albedo On Anthropogenic Heat Release

Shuv Dey, Evan Mallen, Brian Stone, Yogendra Joshi
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Abstract

Cities account for over 66% of global energy use and with over 68% of the population expected to live in urbanized areas by 2050, anthropogenic urban heat release is likely to become one of the most significant contributors to the creation of urban microclimates. In the present work, an open-source framework for one-way upstream coupled multiscale urban thermal environment simulations is examined and validated and can provide valuable insights about the flow behavior and energy transport between spatial scales. In this study, a city-wide multiscale model with over 500,000 building, road, and tree canopy data points parameterizing Atlanta, GA as a digital twin is developed and validated with a spatial scale of 5 m. The validated model is used to perform a parametric study on the implications bulk surface albedo has on the city's anthropogenic heat release in terms of heat flux. The study demonstrates that anthropogenic heat flux for building waste energy accounts for a small part of the total surface heat flux, and a detailed understanding of the components of urban heat (particularly with respect to total surface heat flux) is required to predict and simulate an urban thermal environment.
利用多尺度大气建模探索地表反照率对人为热量释放的影响
城市占全球能源使用量的 66% 以上,预计到 2050 年将有 68% 以上的人口居住在城市化地区,因此人为的城市热量释放很可能成为造成城市小气候的最重要因素之一。在本研究中,对一个用于单向上游耦合多尺度城市热环境模拟的开源框架进行了研究和验证,该框架可为空间尺度之间的流动行为和能量传输提供有价值的见解。在这项研究中,开发了一个包含 50 多万个建筑、道路和树冠数据点的全市多尺度模型,将佐治亚州亚特兰大市作为一个数字孪生城市进行参数化,并以 5 米的空间尺度进行了验证。研究表明,建筑废能的人为热通量只占地表总热通量的一小部分,要预测和模拟城市热环境,就必须详细了解城市热量的组成部分(特别是地表总热通量)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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