Distributed control of multizone HVAC systems considering indoor air quality
This paper studies a scalable control method for multi-zone heating, ventilation and air-conditioning (HVAC) systems to optimize the energy cost for maintaining thermal comfort and indoor air quality (IAQ) (represented by CO2) simultaneously. This problem is computationally challenging due to the co...
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sg-ntu-dr.10356-1624642022-10-26T01:53:34Z Distributed control of multizone HVAC systems considering indoor air quality Yang, Yu Srinivasan, Seshadhri Hu, Guoqiang Spanos, Costas J. School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Distributed Approach Indoor Air Quality This paper studies a scalable control method for multi-zone heating, ventilation and air-conditioning (HVAC) systems to optimize the energy cost for maintaining thermal comfort and indoor air quality (IAQ) (represented by CO2) simultaneously. This problem is computationally challenging due to the complex system dynamics, various spatial and temporal couplings as well as multiple control variables to be coordinated. To address the challenges, we propose a two-level distributed method (TLDM) with a upper level and lower level control integrated. The upper level computes zone mass flow rates for maintaining zone thermal comfort with minimal energy cost, and then the lower level strategically regulates zone mass flow rates and the ventilation rate to achieve IAQ while preserving the near energy saving performance of upper level. As both the upper and lower level computation are deployed in a distributed manner, the proposed method is scalable and computationally efficient. The near-optimal performance of the method in energy cost saving is demonstrated through comparison with the centralized method. In addition, the comparisons with the existing distributed method show that our method can provide IAQ with only little increase of energy cost while the latter fails. Moreover, we demonstrate our method outperforms the demand controlled ventilation strategies (DCVs) for IAQ management with about 8-10% energy cost reduction. National Research Foundation (NRF) Submitted/Accepted version This work was supported by the Republic of Singapore’s National Research Foundation through a grant to the Berkeley Education Alliance for Research in Singapore (BEARS) for the Singapore-Berkeley Building Efficiency and Sustainability in the Tropics (SinBerBEST). 2022-10-26T01:46:50Z 2022-10-26T01:46:50Z 2021 Journal Article Yang, Y., Srinivasan, S., Hu, G. & Spanos, C. J. (2021). Distributed control of multizone HVAC systems considering indoor air quality. IEEE Transactions On Control System Technology, 29(6), 2586-2597. https://dx.doi.org/10.1109/TCST.2020.3047407 1063-6536 https://hdl.handle.net/10356/162464 10.1109/TCST.2020.3047407 6 29 2586 2597 en IEEE Transactions on Control System Technology © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TCST.2020.3047407. application/pdf |
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Engineering::Electrical and electronic engineering Distributed Approach Indoor Air Quality Yang, Yu Srinivasan, Seshadhri Hu, Guoqiang Spanos, Costas J. Distributed control of multizone HVAC systems considering indoor air quality |
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This paper studies a scalable control method for multi-zone heating, ventilation and air-conditioning (HVAC) systems to optimize the energy cost for maintaining thermal comfort and indoor air quality (IAQ) (represented by CO2) simultaneously. This problem is computationally challenging due to the complex system dynamics, various spatial and temporal couplings as well as multiple control variables to be coordinated. To address the challenges, we propose a two-level distributed method (TLDM) with a upper level and lower level control integrated. The upper level computes zone mass flow rates for maintaining zone thermal comfort with minimal energy cost, and then the lower level strategically regulates zone mass flow rates and the ventilation rate to achieve IAQ while preserving the near energy saving performance of upper level. As both the upper and lower level computation are deployed in a distributed manner, the
proposed method is scalable and computationally efficient. The near-optimal performance of the method in energy cost saving is demonstrated through comparison with the centralized method. In addition, the comparisons with the existing distributed method show that our method can provide IAQ with only little increase of energy cost while the latter fails. Moreover, we demonstrate our method outperforms the demand controlled ventilation strategies (DCVs) for IAQ management with about 8-10% energy cost reduction. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Yang, Yu Srinivasan, Seshadhri Hu, Guoqiang Spanos, Costas J. |
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Article |
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Yang, Yu Srinivasan, Seshadhri Hu, Guoqiang Spanos, Costas J. |
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Yang, Yu |
title |
Distributed control of multizone HVAC systems considering indoor air quality |
title_short |
Distributed control of multizone HVAC systems considering indoor air quality |
title_full |
Distributed control of multizone HVAC systems considering indoor air quality |
title_fullStr |
Distributed control of multizone HVAC systems considering indoor air quality |
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Distributed control of multizone HVAC systems considering indoor air quality |
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distributed control of multizone hvac systems considering indoor air quality |
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2022 |
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https://hdl.handle.net/10356/162464 |
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