Indoor environmental datasets in a retrofitted multiapartment building during winter power outages

Two datasets are provided in the form of excel spreadsheets which contain raw data of indoor and outdoor environmental parameters measured during the winter season in a deep retrofitted housing complex, located in Milan.

The first dataset, named ”Experimental Data_Flexibility tests_Flat level”, refers to the measurements conducted in one unoccupied flat of the building complex in which the authors have carried out a series of experimental tests under controlled conditions. The experiments consist of measuring the evolution of the indoor air temperature during the charging and discharging of the storage medium, i.e., the building thermal mass, in order to be able to calculate the number of hours the building can remain in a specified comfort range without active energy input.
The second dataset, named “Field data_Unplanned energy interruptions_Building level”, reports the measurements of the indoor air temperature in several apartments of the housing block during two real cases of power outage that lasted several days each.

For detailed information about the datasets and the methods of data collection and processing, please refer to the corresponding data paper: "Measured indoor environmental data in a retrofitted multiapartment building to assess energy flexibility and thermal safety during winter power outages".

The research by Erba and Barbieri, based on the datasets, evaluates experimentally the effect of a deep renovation in increasing the performance of the building thermal mass in acting as an effective thermal energy storage (TES) during winter, able to deliver flexibility of demand, more and more required by the grid or for self-consumption of locally generated renewable energy, and to guarantee thermal safety under extreme conditions, such as a power outage (Erba S, Barbieri A. Retrofitting Buildings into Thermal Batteries for Demand-Side Flexibility and Thermal Safety during Power Outages in Winter. Energies. 2022; 15(12):4405. https://doi.org/10.3390/en15124405).

本数据集以电子表格的形式提供，包含米兰一栋深度改造住宅综合体在冬季期间室内外环境参数的原始数据。第一个数据集名为“实验数据_灵活性测试_单元层”，指的是在建筑综合体中的一个空置单元内进行的测量，作者们在受控条件下进行了一系列实验测试。实验内容包括测量在储能介质，即建筑热容，充放电过程中的室内空气温度变化，以便计算出建筑在无需主动能量输入的情况下，能够保持在指定舒适范围内的时长。第二个数据集名为“现场数据_计划外能源中断_建筑层”，报告了在两次持续时间各数天的停电事件中，住宅楼中多个公寓的室内空气温度测量数据。关于数据集的详细信息、数据收集和处理方法，请参阅相应的数据论文：《在改造的多单元住宅中测量的室内环境数据，以评估冬季停电期间的能源灵活性和热安全性》。Erba 和 Barbieri 的研究基于这些数据集，通过实验评估了深度改造对建筑热容性能提升的影响，使其在冬季作为有效的热能存储（TES）发挥作用，能够提供日益需求的电网或本地可再生能源自消费的灵活性，并在极端条件下，如停电时，保证热安全性。（Erba S, Barbieri A. 将建筑改造为热电池以在冬季停电期间实现需求侧灵活性和热安全性。Energies. 2022; 15(12):4405. https://doi.org/10.3390/en15124405）