Jupyter notebook of the BBC room data. This workflow contains all steps to recreate a global netCDF file. The global netCDF file contains all 39 measurements, regardless of year and dates.

IF wanting to use this workflow, PLEASE ENSURE you have dowloaded the "Processed files" from RDG. All 39 measurements included are organized by themes. You can find:

     Office environement: Ambiant values (Temperature, humidity and CO2), Indicators (Presence, ventilation, VOC and heating), Doors and windows (Opened of closed, only starting in 2020)

    Specialized office values Relative temperature, humidity and CO2 concentration

    Specialized sensors:Thermocouples sensors(TC1-4, temperature), Triosys 1-2 measuring temperature and triosys 1 measuring humidity.

    Solar measurements: Adjustable sunshade (south, southeast, east, southwest and west), starting in 2020. Pyranometer energy and irradiance.

    Illuminance: North and south.

    Energy:

General, heating, kitchen, main and outlets meter.

The obtained netCDF file can be used to analyze the environmental impact on office workers.

The workflow in itself can be used to replicate the corresponding file, but also a good idea on how to create netCDF file if wanting to replicate.

Visual studio code, 1.99.1

Python, 3.10.12

Jupyter notebook, 6.4.8

This research project explores how sustainable buildings, such as Maison en Terre and the BBC Room (a low-consumption building), can contribute to thermal comfort and energy efficiency, both located in Saint-Martin d'Hères, Grenoble, France. It also has another aspect of sustainability by installing sensors around small buildings, therefore proposing concrete and exploitable data to students and projects. All datasets can be used by researchers, students, and ecological innovation projects.