Comprehensive Five-Year Dataset: Internal, External and In-Wall Climate Monitoring of a Retrofitted Historic Building in South Tyrol
Description
The "Comprehensive Five-Year Dataset: Internal, External and In-Wall Climate Monitoring of a Retrofitted Historic Building in South Tyrol" represents an extensive and meticulous data collection stemming from a five-year long monitoring effort in a retrofitted 17th-century building located in Settequerce, South Tyrol, Italy. This dataset includes comprehensive and continuous hygrothermal data both from within the retrofit wall stratigraphy (at three different depths) as well as from the surrounding indoor and outdoor climatic conditions. These conditions were recorded every five minutes over the course of the monitoring period. This rich dataset provides a profound understanding of the building's performance in the specific climatic context of South Tyrol's zone E or Köppen's Dfb class. This dataset could prove particularly valuable for studies seeking to understand the impact of local climate on building performance, refine numerical models, and inform future renovation and preservation projects of similar historic buildings. The recorded data was subjected to meticulous post-processing using Python scripts to generate hourly averages. This procedure has been undertaken to facilitate better understanding and analysis of the data. Moreover, in scenarios of equipment malfunction, signal non-reception, or inconsistent data, specific values are denoted as "NaN" (Not a Number) in the dataset. This practice allows researchers to quickly identify and exclude potential outliers or erroneous entries during analysis, maintaining the integrity and reliability of the data.
Files
Steps to reproduce
Here's an outline detailing how the dataset, "Comprehensive Five-Year Dataset: Internal, External and In-Wall Climate Monitoring of a Retrofitted Historic Building in South Tyrol," was gathered. The following methods, protocols, instruments, and software were used to ensure the integrity and validity of the data: Site Selection: The site was carefully chosen based on climatic location, and the suitability of the building structure for in-depth monitoring. A 17th-century building in Settequerce, South Tyrol, Italy was selected. Instrumentation: High-quality hygrothermal sensors were selected and installed at various locations inside the building, externally, and within the retrofit wall stratigraphy at three different depths. It is essential to ensure these sensors are calibrated and working correctly before starting data collection. The sensors were capable of capturing data in five-minute intervals. Data Collection: The sensors were programmed to record every five minutes, thereby providing continuous monitoring of the hygrothermal conditions both inside and outside the building, as well as within the wall stratigraphy. Data Handling: The raw data collected by the sensors were stored securely and systematically for subsequent post-processing. Data Processing: A Python script was used to process the raw data. The script calculated hourly averages from the raw data points captured every five minutes. This computation reduces the data size, making it more manageable, while still preserving critical hygrothermal trends. This methodical approach ensures the dataset accurately reflects the monitored conditions and maintains the integrity of the historical building. The procedure can be replicated by other researchers looking to conduct similar studies on different buildings, provided the specific conditions and requirements of the buildings are taken into account.