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Summer dataset of an operating education modular building

<p>We propose a dataset concerning 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 &asymp;220m&sup2; on two levels. It integrates 4 classrooms named Turing (38 m&sup2;), Tesla (51 m&sup2;), Nobel (38 m&sup2;) and Lumi&egrave;re (38 m&sup2;); a IT room named Bell (8.7 m&sup2;); an office named Nobel2 (8.7m&sup2;); a technical room named Local_tech and a hall distributed on the 2 levels. NR3 building is equiped with approximately 200 sensors and actuators allowing the measurement of the physical behavior of the building and the control of HVAC systems.</p> <p>The dataset is composed of 14 csv tables including physical indoor and outdoor parameters (temperature, humidity, radiation&hellip;), total energetic consumption of the building, state and operating data of all systems (heat pump, CMV, shutters, windows&hellip;). Data were recorded during summer 2023, i.e. between the 21 of june and the 22 of september. A redme.xlsx file and a map of the building helps to understand each table.</p> <p>&nbsp;</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0