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Data-Driven Co-optimization of Energy Efficiency and Indoor Environmental Quality in Commercial Buildings

Published:28 June 2023Publication History

ABSTRACT

In this paper, we use publicly available data of a highly instrumented office building to estimate how zonal temperature and carbon dioxide (CO2) concentration are related to some key operational and environmental measurements. Subsequently, we have developed, simulated, and evaluated an optimization framework for minimizing the energy consumption of the central heating, ventilation and air conditioning (HVAC) unit while meeting zonal temperature and indoor air quality (IAQ) standards. Finally, we have evaluated the achievable energy savings for our proposed approach as compared to a baseline approach and reported significant savings potential.

References

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  • Published in

    cover image ACM Conferences
    e-Energy '23 Companion: Companion Proceedings of the 14th ACM International Conference on Future Energy Systems
    June 2023
    157 pages
    ISBN:9798400702273
    DOI:10.1145/3599733

    Copyright © 2023 ACM

    Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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    • Published: 28 June 2023

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