New project videos: Brains4Buildings
The built environment is responsible for about 36% of the global energy demand. About 5-30% of the energy use of buildings is related to energy waste due to faults in heating, ventilation and air conditioning systems. The goal is to develop a self-learning module that can monitor and diagnose climate systems in large buildings.
Generic, robust and reliable fault detection & diagnosis tool
Rick Kramer is the leader of this project and Srinivasan is one of his PhD candidates. Srinivasan is focusing on developing a generic, robust and reliable fault detection and diagnosis tool that can help with the early detection of these faults and eliminate energy wastage.
Personalized control system in an office environment
Within this project, EngD trainee Petros is focusing on the people within large buildings. He is doing research on the control and functionality of a personalized control system that people will be able to use in their office environment to tailor it according to their needs and preferences.
The goal is to develop a self-learning module that can monitor and diagnose climate systems in large buildings.
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