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Updated: Jul 28, 2025

13:48
Design and Construction of an Urban Runoff Research Facility
Published on: August 8, 2014
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一个有的多城市城市对象数据集,用于城市规模的建筑能源模拟.
Rui Ma1, Dongping Fang2, Jiayu Chen3
1Department of Architecture and Civil Engineering, City University of Hong Kong, Hong Kong SAR, China.
Scientific data
|June 2, 2023
概括
这项研究引入了一个新的式城市数据集和分布式本体学,以实现高效的城市规模建筑能源模拟. 这种方法克服了计算的局限性,使城市规划和微气候分析更加可行.
科学领域:
- 城市规划和计算科学
- 环境工程和可持续城市
背景情况:
- 大规模的建筑能源模拟对于城市规划至关重要,但在计算上是密集的.
- 现有的模型缺乏用于全市综合分析的精度和可扩展性.
研究的目的:
- 开发一个可扩展的数据集和方法,用于城市规模的建筑能源模拟.
- 解决计算挑战,提高城市能源建模的准确性.
主要方法:
- 创建一个带有分布式数据本体的多城市城市对象数据集.
- 城市对象 (建筑物,植被,街道) 之间的交互关系的整合.
- 对UrbanTiles和基于补丁的分布式模拟的形态特征的聚合.
主要成果:
- 该数据集包括来自美国30个城市的800多万建筑和数百万其他城市物体.
- 一个样本测试证明了建筑物号码和模拟时间之间的线性关系.
- 瓦式数据结构被证明是构建微气候估计的有效方法.
结论:
- 开发的数据集和本体学使城市能源分析的高效,基于补丁的分布式模拟成为可能.
- 这种方法显著减少了城市规模建模的计算资源需求.
- 该方法支持改进城市规划和建筑微气候估计.
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