Dataset for: Simulating The Urban Canopy's Impact on Wind-Driven Natural Ventilation

This dataset was created from coupled indoor-outdoor large eddy simulations (LES) of flow through an idealized urban canopy, as described in the paper "Simulating The Urban Canopy's Impact on Wind-Driven Natural Ventilation". The dataset includes two main files: flowStatsMI.csv provides per-window quantities including ventilation rates and scalar (temperature/tracer) fluxes; roomVentilationMI.csv provides per-room quantities including aggregated window statistics, volume-averaged quantities (e.g., temperature, tracer decay), and surface fluxes (e.g., temperature flux from the ceiling). Together, these datasets offer a detailed characterization of wind-driven natural ventilation across various parameterizations, varying wind conditions, canopy densities, and indoor-outdoor temperature differences. Across these wind and canopy parameterizations, we measure ventilation through single-sided, cross, corner, and dual-room ventilation scenarios. Additionally, all these ventilation conditions were run with and without skylights. The included README.md fully documents all quantities in the dataset.

本数据集基于发表于论文《模拟城市冠层对风压自然通风的影响》（Simulating The Urban Canopy's Impact on Wind-Driven Natural Ventilation）中所述的理想化城市冠层流动的室内外耦合大涡模拟（Large Eddy Simulation, LES）构建。数据集包含两个主要文件：flowStatsMI.csv 提供逐窗口统计量，涵盖通风速率与标量（温度/示踪剂）通量；roomVentilationMI.csv 提供逐房间统计量，包括聚合窗口统计数据、体积平均物理量（如温度、示踪剂衰减）以及表面通量（如天花板温度通量）。上述数据集可实现对多种参数化方案下、不同风速条件、冠层密度及室内外温差条件下风压自然通风的精细化表征。在本次研究的风速与冠层参数化方案中，我们测试了单侧通风、穿堂通风、转角通风及双房间通风等多种通风场景。此外，所有通风工况均设置了带天窗与无天窗两种对比条件。附带的README.md文件完整说明了数据集中的全部统计量信息。