Fresh air vs COVID-19

According to REHVA’s recommendations, ventilation measures (and fresh air flowrate in particular) are the most important engineering controls in the risk of the spread of COVID-19 in indoor spaces. However, an additional supply of fresh air without precaution can lead to significant overconsumption of energy in buildings (up to more than 50% of overconsumption in heatLire la suite « Fresh air vs COVID-19 »

Sensorea optimises energy & water costs at The Hotel Brussels with Energis.Cloud

Finding a balance between occupants’ comfort & energy consumption is quite a challenge. At The Hotel Brussels (Pandox AB), the energy service company Sensorea installed Energis.Cloud in 2018 to monitor remotely water and energy consumption as well as temperature in order to prevent wastes mainly due to water leakages and equipment dysfunctions. With the COVID-19 crisis, remote monitoringLire la suite « Sensorea optimises energy & water costs at The Hotel Brussels with Energis.Cloud »

COOTECH ASLSTOM / B-SENS research project conclusion

We have just completed the « COOTECH Smart Micro Sens » research project subsidized by the Walloon Region and the European Union. This project now allows SENSOREA to open up the field of application of its optical fiber sensor (www.tphase.be) to the measurement of mechanical stresses thanks to the use of Bragg gratings. We would like toLire la suite « COOTECH ASLSTOM / B-SENS research project conclusion »

A Belgian theater goes for fiber optic for fire and intrusion detection

The Manege is one of the 6 theaters run by Mars – Mons arts de la scène. Housed in the walls of a former armory of 1903, it has been recently re-imagined by the architect Pierre Hebbelinck. With its large modular room, its rehearsal room with comfortable dimensions and its technical spaces, the theater canLire la suite « A Belgian theater goes for fiber optic for fire and intrusion detection »

Water and energy consumptions forecast for a smart control at The Hotel Brussels

Monitoring consists of gathering and supervising data in real time. This helps in fast detection of issues and fast reaction which prevents huge energy and money losses. But what if it was possible to predict in advance these consumptions? The answer is even faster detection and reaction A consumption model depends on each building. This will be mainly influenced byLire la suite « Water and energy consumptions forecast for a smart control at The Hotel Brussels »