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Real Time Measurement of Dynamic Metabolic Factor (D-MET)

  • Jakub Wladyslaw DziedzicEmail author
  • Da Yan
  • Vojislav Novakovic
Conference paper
Part of the Springer Proceedings in Energy book series (SPE)

Abstract

The presented study describes developing a method for observing building occupants’ activity. Once their activity is registered, such data can be used to identify typical patterns in their behaviour. The collected information will support development of an occupant-behaviour-energy-related model in residential buildings. Data registration was done with the use of the Microsoft Kinect device as a depth registration camera. This research explores an innovative approach to investigating residents’ living and working habits. It supports the already existing thermal comfort models by delivering high resolution information about occupants’ activities. The obtained solution and its output will be used in the next stage of developing a dynamic metabolic rate (D-MET) model that will simulate the MET value. With proper data, it will be possible to estimate the real impact of occupants and their behaviour on energy consumption of buildings.

Keywords

Occupant behaviour Metabolic factor Building performance simulations 

Notes

Acknowledgements

Data collection and storing method do not allow to identify participants of the study. That is why this study does not require certification by an ethics board. The authors declare that they have no conflict of interest. For this type of study formal consent is not required and consent of participants was not needed. The authors do not endorse any specific brand or device developer. The study has not been sponsored or influenced in any other manner by private companies. This publication does not seek to promote any specific product or brand.

Computer setting for the measurement procedure: Intel® Core™ i7- 4785T with a CPU of 2.20 GHz: 16 GB DDR3 RAM; Intel HD Graphics 4600. Using a different setting of hardware for the measurement purpose may influence the sampling time.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jakub Wladyslaw Dziedzic
    • 1
    Email author
  • Da Yan
    • 2
  • Vojislav Novakovic
    • 1
  1. 1.Department of Energy and Process EngineeringNorwegian University of Science and TechnologyTrondheimNorway
  2. 2.School of ArchitectureTsinghua UniversityBeijingChina

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