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Research Article

Nationwide evaluation of energy and indoor air quality predictive control and impact on infection risk for cooling season

Xuezheng Wang, Bing Dong( ), Jianshun (Jensen) Zhang
Department of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13244, USA
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Abstract

Since the coronavirus disease 2019, the extended time indoors makes people more concerned about indoor air quality, while the increased ventilation in seeks of reducing infection probability has increased the energy usage from heating, ventilation, and air-conditioning systems. In this study, to represent the dynamics of indoor temperature and air quality, a coupled grey-box model is developed. The model is identified and validated using a data-driven approach and real-time measured data of a campus office. To manage building energy usage and indoor air quality, a model predictive control strategy is proposed and developed. The simulation study demonstrated 18.92% energy saving while maintaining good indoor air quality at the testing site. Two nationwide simulation studies assessed the overall energy saving potential and the impact on the infection probability of the proposed strategy in different climate zones. The results showed 20%–40% energy saving in general while maintaining a predetermined indoor air quality setpoint. Although the infection risk is increased due to the reduced ventilation rate, it is still less than the suggested threshold (2%) in general.

Keywords

model predictive controlindoor air qualityinfection riskenergy-savinglarge-scale simulation

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Building Simulation
Volume 16 Issue 2,
February 2023
Pages 205-223
DOI: 10.1007/s12273-022-0936-6
Cite this article:
Wang X, Dong B, Zhang J(. Nationwide evaluation of energy and indoor air quality predictive control and impact on infection risk for cooling season. Building Simulation, 2023, 16(2): 205-223. https://doi.org/10.1007/s12273-022-0936-6

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Received: 12 June 2022
Revised: 16 August 2022
Accepted: 25 August 2022
Published: 30 September 2022
© Tsinghua University Press 2022
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