About the project
The goal is to develop a self-learning module that can monitor and diagnose climate systems in large buildings. This will enable a climate system to perform better; for instance, lower energy consumption, better thermal comfort and better air quality. More efficient maintenance is also possible. The module will be used as an add-on for the Building Energy Management System (BEMS) of offices.
Wim Zeiler I Project leader
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More about the project
Rick Kramer – Project leader & Srinivasan Gopalan – PhD canditate
Petros Zimianitis – EngD trainee