Validation and optimization of air quality sensor based occupancy detection algorithms

Felix Nienaber, Mark Wesseling, Davide Cali, Dirk Müller

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

This paper discusses the validation and adjustment of the CO2 based occupancy detection algorithm introduced by Calì et al. (Calì, 2015), based on new data gathered at the E.ON Energy Research Center main building in Aachen in 10 multi-person offices. In addition to the new data basis, further adjustments of the algorithm to the given conditions and possible future improvements are discussed. This paper will also discuss other occupancy detection algorithms, e.g. ones based on VOC, humidity or a combination of different measurements.
Original languageEnglish
Title of host publicationProceedings of Roomvent & Ventilation 2018
Number of pages6
Publication date2018
ISBN (Print)978-952-5236-48-4
Publication statusPublished - 2018
EventRoomvent&Ventilation 2018 - Aalto University, Espoo, Finland
Duration: 2 Jun 20185 Jun 2018

Conference

ConferenceRoomvent&Ventilation 2018
LocationAalto University
CountryFinland
CityEspoo
Period02/06/201805/06/2018

Keywords

  • CO2
  • Occupancy detection
  • Indoor air quality
  • Occupant behaviour

Cite this

Nienaber, F., Wesseling, M., Cali, D., & Müller, D. (2018). Validation and optimization of air quality sensor based occupancy detection algorithms. In Proceedings of Roomvent & Ventilation 2018