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Simulation-based occupancy estimation in office buildings using CO2 sensors

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Abstract
Occupancy pro les 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 oce 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 identifed and an alternative CO2 sensor calibration approach is presented. The occupancy estimation algorithm is validated using measurement data.

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Chicago
Jorissen, Filip, Wim Boydens, and Lieve Helsen. 2017. “Simulation-based Occupancy Estimation in Office Buildings Using CO2 Sensors.” In Proceedings of the 15th IBPSA Conference, ed. Charles S. Barnaby and Michael Wetter, 1073–1082. IBPSA.
APA
Jorissen, F., Boydens, W., & Helsen, L. (2017). Simulation-based occupancy estimation in office buildings using CO2 sensors. In C. S. Barnaby & M. Wetter (Eds.), Proceedings of the 15th IBPSA Conference (pp. 1073–1082). Presented at the 15th IBPSA Conference, IBPSA.
Vancouver
1.
Jorissen F, Boydens W, Helsen L. Simulation-based occupancy estimation in office buildings using CO2 sensors. In: Barnaby CS, Wetter M, editors. Proceedings of the 15th IBPSA Conference. IBPSA; 2017. p. 1073–82.
MLA
Jorissen, Filip, Wim Boydens, and Lieve Helsen. “Simulation-based Occupancy Estimation in Office Buildings Using CO2 Sensors.” Proceedings of the 15th IBPSA Conference. Ed. Charles S. Barnaby & Michael Wetter. IBPSA, 2017. 1073–1082. Print.
@inproceedings{8580815,
  abstract     = {Occupancy pro\unmatched{000c}les 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 o\unmatched{000e}ce 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 identifed and an alternative CO2 sensor calibration approach is presented. The occupancy estimation algorithm is validated using measurement  data.},
  author       = {Jorissen, Filip and Boydens, Wim and Helsen, Lieve },
  booktitle    = {Proceedings of the 15th IBPSA Conference},
  editor       = {Barnaby, Charles S. and Wetter, Michael},
  isbn         = {978-1-7750520-0-5},
  language     = {eng},
  location     = {San Fransisco},
  pages        = {1073--1082},
  publisher    = {IBPSA},
  title        = {Simulation-based occupancy estimation in office buildings using CO2 sensors},
  url          = {http://dx.doi.org/10.26868/25222708.2017.285},
  year         = {2017},
}

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