Utilizing CO2 data to determine room occupancy patterns, opportunities and challenge

Authors Diana Boekman
Published in proceedings IIMA 2023
Publication date 2023
Research groups Process Innovation and Information Systems
Type Lecture

Summary

This short paper explores the potential of using carbon dioxide (CO2) data as a means to establish the occupancy status of a room. The rising concern about indoor air quality, energy efficiency, and occupant comfort has led to the development of innovative techniques to monitor and manage the use of spaces. CO2 sensing presents an intriguing opportunity as elevated levels of CO2 are closely linked to human occupancy. By analyzing and interpreting CO2 levels over time, it becomes possible to infer patterns of room usage and optimize various aspects of building management. This paper discusses the methodology, benefits, and challenges of utilizing CO2 data for establishing room occupancy patterns.

On this publication contributed

  • Diana Boekman
    • Professor emeritus
    • Research groups: Process Innovation and Information Systems, Digital Ethics
Language English
Published in proceedings IIMA 2023
Key words room occupancy, indoor air quality, energy efficiency, building management systems, machine learning, smart buildings, data analysis, sustainability