Enhancing Non-intrusive Occupant Load Monitoring through Occupancy Matrix

Authors

  • Hamed Nabizadeh Rafsanjani School of Environmental, Civil, Agricultural and Mechanical Engineering, University of Georgia

DOI:

https://doi.org/10.18063/ieac.v2i1.1026

Keywords:

Occupant energy-use behavior, Non-intrusive load monitoring, Load disaggregation, Wi-Fi networks, Commercial buildings.

Abstract

It has been universally accepted that energy consumption in commercial buildings is highly related to occupant behaviors. Improving occupants’ energy-use behaviors is regarded as the most cost-effective approach to enhance overall energy saving in commercial built environments. However, effective behavior intervention pursuits rely on the availability of occupant-specific energy-use information, which is extremely expensive to capture with existing technologies. In this context, the author’s previous studies proposed the non-intrusive occupant load monitoring (NIOLM) approach that captures individual occupants’ energy-consuming information at their entry and departure events in an economically feasible manner. The NIOLM assigns energy-load variations (ev) of a building to individual occupants and relies on two variables: Time delay intervals and magnitudes of ev. This paper extends the existing NIOLM concept with the inclusion of a new variable, the occupancy matrix which manifests the information of present occupants at the moment of ev. An experiment has been conducted in an office space to validate the feasibility and accuracy of the proposed approach. Outcomes of this research could be a great help for studies on occupant energy-use behaviors intervention and simulation.

 

Author Biography

Hamed Nabizadeh Rafsanjani, School of Environmental, Civil, Agricultural and Mechanical Engineering, University of Georgia

Dr. Rafsanjani has more than eight years of experience in various capacities of the construction industry, including residential and commercial building construction projects, and served both in construction and managerial positions. Collaborating on projects funded by various agencies such as the National Science Foundation, Dr. Rafsanjani has also developed research in data sensing and smart/sustainable buildings. He is the director of "iSC-Lab".

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Published

2019-07-01

Issue

Vol. 2 No. 1 (2019): (In Publishing)

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Articles

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