research-article

Modeling building thermal response to HVAC zoning

Authors:

Virginia Smith,

Tamim Sookoor,

Kamin WhitehouseAuthors Info & Claims

ACM SIGBED Review, Volume 9, Issue 3

Pages 39 - 45

https://doi.org/10.1145/2367580.2367587

Published: 01 July 2012 Publication History

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Abstract

HVAC systems account for 38% of building energy usage. Studies have indicated at least 5-15% waste due to unoccupied spaces being conditioned. Our goal is to minimize this waste by retrofitting HVAC systems to enable room-level zoning where each room is conditioned individually based on its occupancy. This will allow only occupied rooms to be conditioned while saving the energy used to condition unoccupied rooms. In order to achieve this goal, the effect of opening or closing air vent registers on room temperatures has to be predicted. Making such a prediction is complicated by the fact that weather has a larger effect on room temperatures than the settings of air vent registers, making it hard to isolate the influence of the HVAC system. We present a technique for dynamically estimating the heat load due to weather on room temperatures and subtracting it out in order to predict the effect of the HVAC system more directly.

References

[1]

A. Aswani, N. Master, J. Taneja, D. Culler, and C. Tomlin. Reducing transient and steady state electricity consumption in hvac using learning-based model predictive control. In Proceedings of the IEEE, 2011.

Google Scholar

[2]

N. Ben-Aissa. Heating, ventilation, and air conditioning (hvac) controls: Variable air volume (vav) systems. Johnson Controls, Inc.

Google Scholar

[3]

K. Deng, P. Barooah, P. Mehta, and S. Meyn. Building thermal model reduction via aggregation of state. In American Control Conference, pages 5118--5123, 2010.

Google Scholar

[4]

U. DoE. Buildings energy data book, 2011.

Google Scholar

[5]

Energy Information Administration. 2005 residential energy consumption survey. http://www.eia.doe.gov/emeu/recs/contents.html.

Google Scholar

[6]

Energy Policy Branch Energy Sector Energy Forecasting Division. Canada's energy outlook, 1996-2020. Natural Resources Canada, 1997.

Google Scholar

[7]

G. Henze, C. Felsmann, and G. Knabe. Evaluation of optimal control for active and passive building thermal storage. International Journal of Thermal Sciences, 43(2):173--183, 2004.

Crossref

Google Scholar

[8]

Y. Ma, G. Anderson, and F. Borrelli. A distributed predictive control approach to building temperature regulation. In American Control Conference, 2011.

Google Scholar

[9]

J. McQuade. A system approach to high performance buildings. Technical report, United Technologies Corporation, 2009.

Google Scholar

[10]

T. Nghiem and G. Pappas. Receding-horizon supervisory control of green buildings. In American Control Conference, 2011.

Crossref

Google Scholar

[11]

F. Oldewurtel, A. Parisio, C. Jones, M. Morari, D. Gyalistras, M. Gwerder, V. Stauch, B. Lehmann, and K. Wirth. Energy efficient building climate control using stochastic model predictive control and weather predictions. In American Control Conference, pages 5100--5105, 2010.

Crossref

Google Scholar

[12]

K. Rathouse and B. Young. Domestic heating: Use of controls. Technical Report RPDH 15, Building Research Establishment, UK, 2004.

Google Scholar

[13]

T. Sookoor, B. Holben, and K. Whitehouse. Feasibility of retrofitting centralized hvac systems for room-level zoning.

Google Scholar

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Wu MYao FWang H(2023)An End-to-End Solution for Spatial Inference in Smart BuildingsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3623736(110-119)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3623736
Conceição EGomes JConceição MLúcio MAwbi H(2023)Design of an Auditorium Equipped with an Attached Solar Greenhouse Used to Improve Indoor Environmental ConditionsProceedings of the 5th International Conference on Numerical Modelling in Engineering10.1007/978-981-19-8429-7_6(61-69)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-981-19-8429-7_6
Conceição EConceição ILúcio MGomes JAwbi H(2023)Design, Thermal Response and Comfort in an Auditorium with Complex TopologyProceedings of the 2nd International Conference on Water Energy Food and Sustainability (ICoWEFS 2022)10.1007/978-3-031-26849-6_37(355-364)Online publication date: 27-Feb-2023
https://doi.org/10.1007/978-3-031-26849-6_37
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Index Terms

Modeling building thermal response to HVAC zoning
1. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis
      1. Modeling methodologies
2. Mathematics of computing
  1. Information theory

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Information & Contributors

Information

Published In

ACM SIGBED Review Volume 9, Issue 3

Special Issue on the 3rd International Workshop on Networks of Cooperating Objects (CONET 2012)

July 2012

42 pages

EISSN:1551-3688

DOI:10.1145/2367580

Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2012

Published in SIGBED Volume 9, Issue 3

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Wu MYao FWang H(2023)An End-to-End Solution for Spatial Inference in Smart BuildingsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3623736(110-119)Online publication date: 15-Nov-2023
https://dl.acm.org/doi/10.1145/3600100.3623736
Conceição EGomes JConceição MLúcio MAwbi H(2023)Design of an Auditorium Equipped with an Attached Solar Greenhouse Used to Improve Indoor Environmental ConditionsProceedings of the 5th International Conference on Numerical Modelling in Engineering10.1007/978-981-19-8429-7_6(61-69)Online publication date: 14-Feb-2023
https://doi.org/10.1007/978-981-19-8429-7_6
Conceição EConceição ILúcio MGomes JAwbi H(2023)Design, Thermal Response and Comfort in an Auditorium with Complex TopologyProceedings of the 2nd International Conference on Water Energy Food and Sustainability (ICoWEFS 2022)10.1007/978-3-031-26849-6_37(355-364)Online publication date: 27-Feb-2023
https://doi.org/10.1007/978-3-031-26849-6_37
Uddin MWang QWei HChi HNi M(2021)Building information modeling (BIM), System dynamics (SD), and Agent-based modeling (ABM): Towards an integrated approachAin Shams Engineering Journal10.1016/j.asej.2021.04.015Online publication date: May-2021
https://doi.org/10.1016/j.asej.2021.04.015
Hong DCai RWang HWhitehouse K(2019)Learning from Correlated Events for Equipment Relation Inference in BuildingsProceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3360322.3360852(203-212)Online publication date: 13-Nov-2019
https://dl.acm.org/doi/10.1145/3360322.3360852
Kalyanaraman ASoltanaghaei EWhitehouse K(2019)Doorpler: A Radar-Based System for Real-Time, Low Power Zone Occupancy Sensing2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)10.1109/RTAS.2019.00012(42-53)Online publication date: Apr-2019
https://doi.org/10.1109/RTAS.2019.00012
Song YMao FLiu Q(2019)Human Comfort in Indoor Environment: A Review on Assessment Criteria, Data Collection and Data Analysis MethodsIEEE Access10.1109/ACCESS.2019.29373207(119774-119786)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2937320
Qolomany BAl-Fuqaha AGupta ABenhaddou DAlwajidi SQadir JFong A(2019)Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive SurveyIEEE Access10.1109/ACCESS.2019.29266427(90316-90356)Online publication date: 2019
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Abbas SBakar AChandio YHafeez KAli AJadoon TAlizai M(2018)Inverted HVACACM Transactions on Sensor Networks10.1145/322906314:3-4(1-26)Online publication date: 27-Nov-2018
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Hafeez KChandio YBakar AAli ASyed AJadoon TAlizai MWhitehouse KDutta PNoh H(2017)Inverting HVAC for energy efficient thermal comfort in populous emerging countriesProceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments10.1145/3137133.3137137(1-10)Online publication date: 8-Nov-2017
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