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Occupants are the core of the built environment. Traditional heating, ventilation, and air-conditioning (HVAC) systems operate with predefined schedules and maximum occupancy assumptions with no consideration of specific occupant information. These generalized assumptions usually do not align with the actual demand and result in over-conditioning and occupant discomfort. In recent years, with the aid of Information & Communication Technology (ICT) and Computer Science (CS), it is possible to acquire real-time and accurate occupant information to satisfy the exact thermal requirement through specific HVAC control in one particular built environment. This mechanism is called HVAC "Occupant-centric Control (OCC)." HVAC OCC strategy starts with collecting the occupant's information (e.g., presence/absence) and then applies it to meet the occupant's requirement (e.g., thermal comfort). However, even though some research studies and field pilot demonstrations have been devoted to the field of OCC, there is a lack of systematic knowledge about occupant data, which is the principal component of OCC for HVAC researchers and practitioners. To fill this gap, this review paper discusses OCC with a particular emphasis on occupant information and investigates how this information can assist HVAC operation in providing an acceptable built environment in required spaces during the required time. We provide a fine-grained, comprehensive picture of occupant information, discuss its features, the modalities of information feed-in into the HVAC control, and the application of commonly utilized occupant information for OCC.


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From occupants to occupants: A review of the occupant information understanding for building HVAC occupant-centric control

Show Author's information Tao Yang1Arkasama Bandyopadhyay1Zheng O'Neill1( )Jin Wen2Bing Dong3
J. Mike Walker '66 Department of Mechanical Engineering, Texas A & M University, College Station, TX 77843, USA
Department of Civil, Architectural & Environmental Engineering, Drexel University, Philadelphia, PA 19104, USA
Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13244, USA

Abstract

Occupants are the core of the built environment. Traditional heating, ventilation, and air-conditioning (HVAC) systems operate with predefined schedules and maximum occupancy assumptions with no consideration of specific occupant information. These generalized assumptions usually do not align with the actual demand and result in over-conditioning and occupant discomfort. In recent years, with the aid of Information & Communication Technology (ICT) and Computer Science (CS), it is possible to acquire real-time and accurate occupant information to satisfy the exact thermal requirement through specific HVAC control in one particular built environment. This mechanism is called HVAC "Occupant-centric Control (OCC)." HVAC OCC strategy starts with collecting the occupant's information (e.g., presence/absence) and then applies it to meet the occupant's requirement (e.g., thermal comfort). However, even though some research studies and field pilot demonstrations have been devoted to the field of OCC, there is a lack of systematic knowledge about occupant data, which is the principal component of OCC for HVAC researchers and practitioners. To fill this gap, this review paper discusses OCC with a particular emphasis on occupant information and investigates how this information can assist HVAC operation in providing an acceptable built environment in required spaces during the required time. We provide a fine-grained, comprehensive picture of occupant information, discuss its features, the modalities of information feed-in into the HVAC control, and the application of commonly utilized occupant information for OCC.

Keywords: energy efficiency, HVAC, smart building, occupant information, occupant-centric control

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Publication history
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Acknowledgements

Publication history

Received: 07 September 2021
Revised: 25 October 2021
Accepted: 27 October 2021
Published: 07 December 2021
Issue date: June 2022

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021

Acknowledgements

Acknowledgements

The research reported in this paper was partly supported by the U.S. Department of Energy through the Building America program under award number DE-EE0008694. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof.

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