Jupyter notebook of Maison en terre data. This workflow contains all steps to recreate a global netCDF file. The global netCDF file contains all 52 measurements, regardless of year and dates.

IF wanting to use this workflow, PLEASE ENSURE you have dowloaded the "Processed files" from RDG. All 52 measurements included are organized by themes. You can find:

Air quality: Interior CO₂ (north and south), CO₂ (PPM) and micro-particles (µg/m³) Climatic parameters: Interior temperature (north and south), perceived temperature and temperature (°C), interior humidity (north and south), absolute and relative humidity (%), pyranometer measurements (W/m², kWh/m²), azimuth and solar elevation, weather station temperature and sensor state (°C, boolean), front, left, right and maximum light intensity (lux), wind speed (m/s) and rain. Energetic performance: Connectors, light, outlets and ventilation energy consumption. Connectors, light, outlets and ventilation power (W). Maison en terre structure: Roof, south walls and walls temperature (°C).

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.