Bal-Fontaine Simon, Bernaud Pierre, Campagna Kevin, Coulandreau Hugo, Foucquier Aurélie, Jay Arnaud, Muanda Lutete Merveil
Université Grenoble Alpes, CEA LITEN, INES, Le Bourget du Lac, France.
Université Savoie Mont-Blanc, CNRS, LOCIE, 73000 Chambéry, France.
Data Brief. 2025 May 29;61:111722. doi: 10.1016/j.dib.2025.111722. eCollection 2025 Aug.
As summer heatwaves become more intense and more frequent, achieving thermal comfort in buildings without relying on air conditioning has become critical to meet CO₂ emission targets. To address this, a field study was conducted in an office building at INES, Le Bourget-du-Lac, France. The bioclimatic design of the building takes advantage of the local climate, influenced by mountain ranges and Bourget Lake, to minimize overheating while ensuring occupant comfort thanks to solar control, natural ventilation and thermal inertia. It optimizes natural ventilation through features such as a green atrium with automated openings and internal leafs. Pedestal fans completed this strategy to maximize occupant comfort without air-conditioning. Data were collected over six years (2017-2022) through sensors networks and thermal comfort surveys thanks to a Human Machine Interface (HMI), which has been developed and improved over the different campaigns. The surveys gather occupant perception of comfort, clothing details, and the effect of draughts, while sensors monitored door and window openings, office temperatures and fan use. Instrumentation includes temperature sensors connected to computers, plug-in power sensors for fans, and openings status sensors. Data were recorded every 5-10 min using a Jeedom home automation system linked to a Raspberry Pi, with a Python script transferring data to a central database. Across the study, up to 29 participants contributed annually, generating datasets ranging per year from 250 to 17,500 responses. This dataset supports research into the relationship between thermal comfort, occupant perception, and passive cooling strategies, such as natural and mixed-mode ventilation. It provides insights into variations in occupant comfort and behavior across similar offices environment and forms a basis for studying building overheating, operational performance, and the effectiveness of passive cooling strategies. This dataset also facilitates the development of ventilation control algorithms and cascade cooling strategies by analyzing the conditions under which occupants use desk fans, helping optimize mixed-mode ventilation systems for comfort and efficiency.
随着夏季热浪变得愈发强烈和频繁，在不依赖空调的情况下实现建筑物内的热舒适对于达成二氧化碳排放目标至关重要。为解决这一问题，在法国布尔歇湖的伊泽尔核能与太阳能研究所（INES）的一栋办公楼里进行了一项实地研究。该建筑的生物气候设计利用了受山脉和布尔歇湖影响的当地气候，通过阳光控制、自然通风和热惯性，在确保居住者舒适的同时将过热情况降至最低。它通过诸如带有自动开口和内叶的绿色中庭等特征来优化自然通风。台扇完善了这一策略，以在不使用空调的情况下最大限度地提高居住者的舒适度。通过传感器网络和热舒适调查，借助一个在不同活动中不断开发和改进的人机界面（HMI），在六年（2017 - 2022年）时间里收集了数据。这些调查收集了居住者对舒适度的感知、衣物细节以及气流的影响，而传感器则监测门窗开口、办公室温度和风扇使用情况。仪器设备包括连接到计算机的温度传感器、风扇的插入式功率传感器以及开口状态传感器。使用与树莓派相连的Jeedom家庭自动化系统每5 - 10分钟记录一次数据，通过一个Python脚本将数据传输到中央数据库。在整个研究过程中，每年多达29名参与者提供数据，每年生成的数据集包含250至17500条回复。该数据集支持对热舒适、居住者感知和被动冷却策略（如自然通风和混合模式通风）之间关系的研究。它提供了关于类似办公环境中居住者舒适度和行为变化的见解，并为研究建筑物过热、运行性能以及被动冷却策略的有效性奠定了基础。通过分析居住者使用台式风扇的条件，该数据集还促进了通风控制算法和级联冷却策略的开发，有助于优化混合模式通风系统以实现舒适度和效率。
