Our solutions for the education sector


Money can be saved on newbuilds and renovations by optimising existing buildings used for education. ENAPPGY’s solutions facilitate the ongoing measurement of conditions in separate rooms, providing insight into users’ walking routes and how spaces are used. This data is important for safety and the optimisation of education. The temperature, CO2 levels and ventilation can also be measured, with buildings continuously optimised based on this data. Here are the two greatest challenges faced by the education sector:

Universities, capital intensive real estate

Universities have been experiencing an increase in student numbers for over 10 years. The number of students will increase from 329,000 in 2020 up to 395,700 students in 2027, finally 402,000 students in 2030. Previously, there had been an abundance of surplus space in these institutions. University buildings are not particularly flexible. They are often large buildings with a specific coherence to other university buildings. Conversions, renovations and newbuilds are very costly. Construction costs for universities are usually around € 3,000.- per m2 of gross floor area and far higher for laboratories – so, very capital intensive. If you make more efficient use of space, you need fewer square metres and that can make a difference in terms of how much space is needed.
If real-time insights pointed to a potential optimisation of 10% (which is realistic according to experts), construction costs could be reduced by an equivalent percentage. Less construction is better for the environment, better from a financial perspective, and it also benefits education and research (which is what universities are focused on).


Identifying concentrations of people and their movement via sensors enables you to detect notable movement and/or temperature increases. Security or emergency response teams – such as those found at universities – can then observe extraordinary situations on-screen. An algorithm could provide additional clarity (unexpected collective movements) to help narrow down the location of an emergency situation. Sensors can also effectively locate fires based on temperature increases. Time is of the essence in such scenarios.