Paper Conference

Proceedings of Building Simulation 2017: 15th Conference of IBPSA

     

Simulation-Based Occupancy Estimation in Office Buildings Using CO2 Sensors

Filip Jorissen1,3, Wim Boydens2,4, Lieve Helsen1,3
1KU Leuven, Leuven, Belgium
2UGent, Ghent, Belgium
3EnergyVille, Genk, Belgium
4Boydens engineering, Groot-Bijgaarden, Belgium


DOI: https://doi.org/10.26868/25222708.2017.285
Abstract: Occupancy profiles are required to estimate internal gains in buildings for a model predictive controller. Literature discusses many approaches but the practical usability of these approaches is unclear. A simple dynamic model using only existing sensors from a real office building with 23 zones was tested. A validated Modelica air flow model that computes the mass flow rates required for the occupancy estimation algorithm is also demonstrated. The variable air volume model is published open-source. Limitations of automatic baseline calibration were identified and an alternative CO2 sensor calibration approach is presented. The occupancy estimation algorithm is validated using measurement data.
Pages: 1073 - 1082
Paper:
BS2017_285