Urban Building Energy Stock Datasets

This dataset comprises over 1 million records of residential urban building stock, including types such as terraced houses, detached houses, semi-detached houses, and bungalows. It utilizes jEPlus as a parametric tool for physics-based simulations, combined with EnergyPlus for thermal simulation, and integrates DesignBuilder construction templates for generation. The dataset encompasses various building features, such as HVAC systems and building fabric properties (including U-values for walls, roofs, floors, doors, and windows). It also contains parameters related to heating, lighting, equipment, photovoltaic systems, and hot water energy demand. For citation: Usman Ali, Sobia Bano, Mohammad Haris Shamsi, Divyanshu Sood, Cathal Hoare, Wangda Zuo, Neil Hewitt, James O'Donnell. “Urban building energy performance prediction and retrofit analysis using data-driven machine learning approach”. Energy and Buildings, Volume 303, https://doi.org/10.1016/j.enbuild.2023.113768本数据集包含超过一百万条住宅城市建筑存量记录，涵盖了联排别墅、独立别墅、半独立别墅和单层住宅等多种类型。该数据集采用jEPlus作为基于物理的参数化工具进行模拟，并与EnergyPlus结合用于热模拟，同时整合DesignBuilder建筑模板以实现生成。数据集涵盖了各种建筑特征，包括供热通风空调系统及建筑围护结构属性（包括墙体、屋顶、地板、门和窗户的U值）。此外，还包括与供暖、照明、设备、光伏系统和热水能耗相关的参数。