Development and testing of a performance evaluation methodology to assess the reliability of occupancy sensor systems in residential buildings

Yiyi Chu, Debrudra Mitra, Kristen Cetin, Nizar Lajnef, Fatih Altay, Senem Velipasalar

Research output: Contribution to journalArticlepeer-review

Abstract

With the emergence of advanced occupancy sensor technologies to better detect occupancy in buildings, a universal methodology and metrics are required to evaluate and report sensor systems’ reliability and compare the performance across multiple sensor systems. This research presents a methodology to assess the reliability of occupancy sensor systems in residential buildings in a controlled laboratory environment, including both “typical” and “failure” testing scenarios. The developed methodology was then implemented to evaluate a novel occupancy detection sensor system's reliability. “Typical” testing evaluates the overall accuracy of the sensor system, which suggest how reliable the occupancy sensor system is over time. Results show that on average, the precision and recall are 0.75 and 0.70, indicating similar numbers of false positives and false negatives across the dataset. The overall accuracy of the tested sensor system was 62.4% to 76.4%. Failure testing results indicate whether there are influential variables impacting the sensor performance. For the tested sensor system, the number of occupants, presence of large objects, presence of interior light sources, and number of doors are not influential, while lighting level, location of occupants, additional door in the entry/exit area, and having the TV on are variables determined to impact the sensor system performance.

Original languageEnglish (US)
Article number112148
JournalEnergy and Buildings
Volume268
DOIs
StatePublished - Aug 1 2022

Keywords

  • Failure testing
  • Occupancy sensor systems
  • Performance metrics
  • Sensor reliability
  • Standard testing methodology
  • Typical testing

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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