TU Delft “Building 28”
 

The TU Delft Building 28 is one of the living labs within the Brains 4 Building project, funded by the Dutch Ministry of Economic Affairs & Climate. The living labs will be used for small-scale testing and prototyping algorithms and methods to reduce energy consumption, increase comfort, respond flexibly to user behaviour and local energy supply and demand, and save on installation maintenance costs. After successful small-scale testing, other buildings will serve as use cases and validation cases for demonstrating replication and upscaling.

TU Delft Building 28 is a medium size (10.787 m2) office (88% of floor area), education (8% of floor area) and low-tech lab (4% of floor area) at the TU Delft campus. The building was built in 2002 and fully renovated in 2018 to an energy label A. The energy systems include two high-efficiency natural gas-fired boilers.

Project Information
 
Location
Mourikbroekmanweg 6, Delft, Netherlands
Building Typology
Office, education and low-tech lab
Technology Installed / Proposed

Testing of an algorithm for automated fault detection and diagnostics (FDD) on the HVAC systems applying the 4S3F method. Applying the 4S3F method for occupant comfort.

Data Availability
  • Istorical data from BMS (Johnson control);
  • Smart energy meter data;
  • Real time energy data through data platforms on The Green Village;
  • Digitised principal schemes of the building;
  • WiFi data (to track occupancy).
Status
Completed design/development, construction, and testing/commissioning.

  • Current state-of-the-art: There is a need for plug-and-play solutions to reduce the current 20-30 % of energy wasted in utility buildings by optimally using data availability for fault detection, diagnosis, and condition-dependent maintenance.
  • Project objectives and intended impacts: Minimise energy consumption and prevent energy wastage by developing modular and scalable methods and tools for fault detection, diagnosis, and condition-dependent maintenance utilising data from the Building Management Systems (BMS), energy metres and sensors.
  • Intended results (products & services): Proof-of-concept of modular and scalable methods, algorithms, and software plug-ins for continuous performance monitoring for fault detection, diagnosis, and condition-dependent maintenance for performance-based facility management.
  • Key technology: Testing an algorithm for automated fault detection and diagnostics (FDD) on the HVAC systems applying the 4S3F method.

 

For more information on the Case Study
Contact Person: Mirjam Harmelink
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