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Measured indoor temperature, weather, infiltration, and ventilation in synthetically occupied test houses: summer 2021, UK

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DataCite Commons2022-05-17 更新2025-04-16 收录
下载链接:
https://repository.lboro.ac.uk/articles/dataset/Measured_indoor_temperature_weather_infiltration_and_ventilation_in_synthetically_occupied_test_houses_summer_2021_UK/19308299
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资源简介:
This dataset is maintained by Ben Roberts (b.m.roberts@lboro.ac.uk), Building Energy Research Group (BERG), School of Architecture, Building and Civil Engineering, Loughborough University.<br>---<br>The IMPROVE project (IMproving the PRedictions of OVErheating) comprised a measurement phase and a modelling phase. The measurement phase is the subject of this dataset and was carried out from April 2021 to September 2021 (inclusive). Two matched pair houses, one synthetically occupied and one unoccupied were instrumented with sensors to measure: indoor dry bulb temperature, indoor operative temperature, indoor surface temperature, operation of synthetic occupancy (window, door, and curtain operation; internal heat gains), the whole house infiltration rate, single room ventilation rate, and the weather conditions.<br>The dataset is made publicly available here. This dataset includes:<br><br>- README file (.txt).<br>- Guidance document (.pdf).<br>- Indoor temperature, internal heat gain operation, and weather data (.csv).<br>Other information on the houses' geometry and construction can be found here: https://doi.org/10.17028/rd.lboro.8094575.<br><br>---<br>This work has been carried out as part of the IMPROVE project (IMproving the PREdictions of OVErheating). IMPROVE is a consortium of two universities: Loughborough University and London South Bank University - and two industry stakeholders: Hilson Moran Partnership Ltd. and Inkling Partnership LLP.

本数据集由拉夫堡大学(Loughborough University)建筑、建筑与土木工程学院建筑能源研究小组(Building Energy Research Group, BERG)的本·罗伯茨(Ben Roberts)维护,联系邮箱为b.m.roberts@lboro.ac.uk。 --- IMPROVE项目(IMproving the PRedictions of OVErheating)包含测量阶段与建模阶段,本数据集对应其中的测量阶段,该阶段于2021年4月至2021年9月(含首尾月份)开展。研究选取了两组匹配住宅,其中一套为人工模拟居住状态,另一套为空置状态,均部署传感器以采集以下数据:室内干球温度、室内操作温度、室内表面温度、模拟居住相关设备的运行状态(包括门窗、窗帘操作及室内得热情况)、整屋渗透风量、单房间通风量以及气象条件。 本数据集已公开共享,包含以下内容: - 说明文档(README,.txt格式) - 操作指南文档(.pdf格式) - 室内温度、室内得热运行状态及气象数据(.csv格式) 关于住宅的几何构造与建造细节,可访问以下链接获取:https://doi.org/10.17028/rd.lboro.8094575。 --- 本研究系IMPROVE项目(IMproving the PRedictions of OVErheating)的一部分。该项目由两所高校与两家行业机构组成联盟:拉夫堡大学、伦敦南岸大学(London South Bank University),以及希爾森·莫兰合伙有限公司(Hilson Moran Partnership Ltd.)与Inkling合伙有限责任合伙企业(Inkling Partnership LLP)。
提供机构:
Loughborough University
创建时间:
2022-03-07
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