One year dataset of an education modular building

We propose a dataset representing the physical behavior (indoor/outdoor physico-chemical parameters and systems operating conditions) of a modular education building (NR3) located on CESI Engineering School of Nanterre (Approximate GPS coordinates: 48.9033,2.1925). NR3 building is composed of 16 shipping containers offering an available surface of ≈220m² on two levels. It integrates 4 classrooms named Turing (38 m²), Tesla (51 m²), Nobel (38 m²) and Lumière (38 m²); a IT room named Bell (8.7 m²); an office named Nobel2 (8.7m²); a technical room named Local_tech and a hall distributed on the 2 levels. Data comes from a network of more than 150 sensors and actuators.

The dataset is composed of 13 csv tables including physical indoor and outdoor parameters (temperature, humidity, particle concentration, radiation…), total electric consumption of the building, state and operating data of all systems (heat pump, CMV, shutters, windows…). Data were recorded during 1 year between the 1st of June 2023 and the 31 of May 2024. A redme.xlsx file and a map of the building helps to understand each table.