Dataset of an in-use tertiary building collected from a detailed 3D mobile monitoring system and building automation system for indoor and outdoor air temperature analysis
Giraldo Soto, Catalina
Erkoreka González, Aitor
Barragan Elorza, Ander
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Data in Brief 31 : (2020) // Article ID 105907
[EN] A Mobile Monitoring System (MMS) has been designed tak- ing into account the use of technology with high sensor ac- curacy and the ability to be installed easily and quickly in different cardinal locations, distribution spaces, volumes and at different heights of a tertiary in-use building located in Leioa (Bilbao). Two types of MMS have been designed with the objective of carrying out two types of analysis; one in- tended to do a global indoor air temperature uncertainty analysis and the other focused on doing a global outdoor air temperature uncertainty analysis. Eight tripods make up the interior MMS with twenty sen- sors at different heights, which have been installed in differ- ent offices in the building to collect indoor air temperature measurements at different heights and locations. In addition, eight sensors make up the exterior MMS to collect data from outdoor air temperature measurements around the building envelope. Both MMS have been integrated into the existing Building Automation System (BAS) of the tertiary building; some other data collected by the BAS has also been taken into account for the uncertainty analysis of indoor and out- door air temperature. The interior and exterior MMS datasets have been compiled based on a rigorous data collection process, with the po- tential to use the data to study the spatial air temperature behavior, taking into account the impact of solar radiation, the heating system and the electrical energy consumption. Furthermore, it enables the global uncertainty of indoor and outdoor air temperature measurements on an in-use build- ing to be estimated and to break it down into the differ- ent uncertainty sources, such as the sensor accuracy, vertical and horizontal temperature variability, solar radiation, occu- pancy and heating system effects. Finally, it enables the opti- mization of monitoring and control systems for BAS, heating and HVAC systems, as well as any monitoring system imple- mented in research tests using indoor and/or outdoor tem- perature measurements as key variables.