Smart offices
Self learning monitoring- and control technology for buildings

Theme

Project duration

2020

Tags

Led by

Eric Willems,
e.willems@huygen.net

This project aims to unlock a hitherto unattainable potential for energy savings and flexibility and

at the same time achieve a higher user comfort. This is to be done with the help of a dynamic,

Self-learning control system based on machine learning algorithms and digital simulations. The system stands real-time connection to the building and continuously searches for the best possible use of building installations.

The control system is also designed to optimize self-consumption. It is also possible thanks to a

connection with the energy markets respond to the fluctuations in supply and demand associated with the structural increase in renewable energy generation in the Netherlands.

Result

The result is a self-learning, autonomously controlling measurement and control system that focuses on the active and Real-time control of installations for optimizing energy, efficiency and comfort. The system can save at least 20% energy on average, cash in on flexibility, increase self-consumption and improve the increase user comfort. It does this in such a way that the business case for local generation and storage improves and end-users benefit as well. The developed technology can be used in the future concretely be applied as an upgrade for existing office buildings. These buildings are thus made future-proof in an affordable way in view of the sharp increase in supply and demand of electricity in the built environment and the associated challenges for the power grid. In addition, the project results in technology for realistically simulating energy-saving measures in a building, in order to contribute more broadly to the energy transition.

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