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Simulation Model of Automated HVAC System Control Strategy With Thermal Comfort and Occupancy Considerations

[+] Author Affiliations
Bo Peng, Sheng-Jen Hsieh

Texas A&M University, College Station, TX

Paper No. MSEC2017-3001, pp. V003T04A003; 6 pages
  • ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
  • Volume 3: Manufacturing Equipment and Systems
  • Los Angeles, California, USA, June 4–8, 2017
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5074-9
  • Copyright © 2017 by ASME


Currently, design and control of HVAC system in buildings rely heavily on simulation tools. However, the common tools available often fail to optimize occupants’ comfort directly, nor do they consider real-time variations in occupancy that affect comfort and energy performance.

To address these limits, this research designed an occupancy-based and thermal comfort-driven building automation simulation model. A single-space prototype lab room was co-simulated using EnergyPlus and MATLAB with the help of BCVTB and MLE+ as middleware. Various climate scenarios from four cities in the U.S. in different seasons were examined. Results suggest that overall, compared to a conventional temperature-driven control strategy baseline, the proposed system can minimize thermal comfort violation (in term of PMV model, |PMV|>0.5 is considered as a violation) to 7% and reduce occupants’ thermal discomfort by 62.5% on average. Meanwhile, energy consumption remains same or reduced (up to 2% reduction). Due to its simplicity, this strategy is relatively easy to implement in real-world building automation systems with appropriate sensor placement in modern buildings.

Copyright © 2017 by ASME



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