An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach

Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    In this paper, we address energy management for heating, ventilation, and air-conditioning (HVAC) systems in buildings, and present a novel combined optimization and control approach. We first formulate a thermal dynamics and an associated optimization problem. An optimization dynamics is then designed based on a standard primal-dual algorithm, and its strict passivity is proved. We then design a local controller and prove that the physical dynamics with the controller is ensured to be passivity-short. Based on these passivity results, we interconnect the optimization and physical dynamics, and prove convergence of the room temperatures to the optimal ones defined for unmeasurable disturbances. Finally, we demonstrate the present algorithms through simulation.

    Original languageEnglish (US)
    Title of host publication1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1050-1057
    Number of pages8
    ISBN (Electronic)9781509021826
    DOIs
    StatePublished - Oct 6 2017
    Event1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 - Kohala Coast, United States
    Duration: Aug 27 2017Aug 30 2017

    Publication series

    Name1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
    Volume2017-January

    Other

    Other1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017
    CountryUnited States
    CityKohala Coast
    Period8/27/178/30/17

    Fingerprint

    Passivity
    Energy Efficient
    Optimization
    Controller
    Primal-dual Algorithm
    Energy Management
    Dynamic Optimization
    Ventilation
    Interconnect
    Conditioning
    Controllers
    Heating
    Energy management
    Disturbance
    Air conditioning
    Optimization Problem
    Demonstrate
    Buildings
    Design
    Simulation

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Hardware and Architecture
    • Software
    • Control and Systems Engineering

    Cite this

    Hatanaka, T., Zhang, X., Shi, W., Zhu, M., & Li, N. (2017). An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach. In 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017 (pp. 1050-1057). (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCTA.2017.8062598
    Hatanaka, Takeshi ; Zhang, Xuan ; Shi, Wenbo ; Zhu, Minghui ; Li, Na. / An integrated design of optimization and physical dynamics for energy efficient buildings : A passivity approach. 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1050-1057 (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017).
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    abstract = "In this paper, we address energy management for heating, ventilation, and air-conditioning (HVAC) systems in buildings, and present a novel combined optimization and control approach. We first formulate a thermal dynamics and an associated optimization problem. An optimization dynamics is then designed based on a standard primal-dual algorithm, and its strict passivity is proved. We then design a local controller and prove that the physical dynamics with the controller is ensured to be passivity-short. Based on these passivity results, we interconnect the optimization and physical dynamics, and prove convergence of the room temperatures to the optimal ones defined for unmeasurable disturbances. Finally, we demonstrate the present algorithms through simulation.",
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    Hatanaka, T, Zhang, X, Shi, W, Zhu, M & Li, N 2017, An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach. in 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1050-1057, 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017, Kohala Coast, United States, 8/27/17. https://doi.org/10.1109/CCTA.2017.8062598

    An integrated design of optimization and physical dynamics for energy efficient buildings : A passivity approach. / Hatanaka, Takeshi; Zhang, Xuan; Shi, Wenbo; Zhu, Minghui; Li, Na.

    1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1050-1057 (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017; Vol. 2017-January).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    AB - In this paper, we address energy management for heating, ventilation, and air-conditioning (HVAC) systems in buildings, and present a novel combined optimization and control approach. We first formulate a thermal dynamics and an associated optimization problem. An optimization dynamics is then designed based on a standard primal-dual algorithm, and its strict passivity is proved. We then design a local controller and prove that the physical dynamics with the controller is ensured to be passivity-short. Based on these passivity results, we interconnect the optimization and physical dynamics, and prove convergence of the room temperatures to the optimal ones defined for unmeasurable disturbances. Finally, we demonstrate the present algorithms through simulation.

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    Hatanaka T, Zhang X, Shi W, Zhu M, Li N. An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach. In 1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1050-1057. (1st Annual IEEE Conference on Control Technology and Applications, CCTA 2017). https://doi.org/10.1109/CCTA.2017.8062598