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    Evaluation of the Demand Flexibility Potential Through Joint Optimization of Building Thermal Response and Indoor Air Quality in Commercial Buildings

    Source: ASME Journal of Engineering for Sustainable Buildings and Cities:;2024:;volume( 005 ):;issue: 002::page 21003-1
    Author:
    Klavekoske, Andrew B.
    ,
    Cushing, Vincent J.
    ,
    Henze, Gregor P.
    DOI: 10.1115/1.4065704
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Large commercial buildings may display demand flexibility, which reduces electric energy expenses for the building owner and carbon emissions from grid operations, provides distributed energy resources, and increases the penetration of renewable energy sources. Demand-controlled ventilation (DCV) and building thermal mass control can individually and jointly provide such flexibility. The performance and financial payback of these technology options can be dramatically improved if based on hourly electric prices and carbon emissions rates. In this study, a modeled but actual large office building, simulated using New York City hourly electric prices, hourly CO2e emissions rates, and weather data for the summer 2019 cooling season is based on these dynamic driving parameters. A joint optimization of a building’s thermal mass and indoor CO2 content is presented. Superior energy savings and carbon emissions reductions are found for the joint optimization scenario when compared to both the baseline operation and individual optimization of building thermal mass and indoor CO2 content. These findings motivate the development of a real-time joint control system that utilizes closed-loop model predictive control (MPC) to optimally harness both sources of demand flexibility, a system that would require the future development of forecasting algorithms for external and control-oriented system models.
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      Evaluation of the Demand Flexibility Potential Through Joint Optimization of Building Thermal Response and Indoor Air Quality in Commercial Buildings

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4303320
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    contributor authorKlavekoske, Andrew B.
    contributor authorCushing, Vincent J.
    contributor authorHenze, Gregor P.
    date accessioned2024-12-24T19:07:20Z
    date available2024-12-24T19:07:20Z
    date copyright6/28/2024 12:00:00 AM
    date issued2024
    identifier issn2642-6641
    identifier otherjesbc_5_2_021003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4303320
    description abstractLarge commercial buildings may display demand flexibility, which reduces electric energy expenses for the building owner and carbon emissions from grid operations, provides distributed energy resources, and increases the penetration of renewable energy sources. Demand-controlled ventilation (DCV) and building thermal mass control can individually and jointly provide such flexibility. The performance and financial payback of these technology options can be dramatically improved if based on hourly electric prices and carbon emissions rates. In this study, a modeled but actual large office building, simulated using New York City hourly electric prices, hourly CO2e emissions rates, and weather data for the summer 2019 cooling season is based on these dynamic driving parameters. A joint optimization of a building’s thermal mass and indoor CO2 content is presented. Superior energy savings and carbon emissions reductions are found for the joint optimization scenario when compared to both the baseline operation and individual optimization of building thermal mass and indoor CO2 content. These findings motivate the development of a real-time joint control system that utilizes closed-loop model predictive control (MPC) to optimally harness both sources of demand flexibility, a system that would require the future development of forecasting algorithms for external and control-oriented system models.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluation of the Demand Flexibility Potential Through Joint Optimization of Building Thermal Response and Indoor Air Quality in Commercial Buildings
    typeJournal Paper
    journal volume5
    journal issue2
    journal titleASME Journal of Engineering for Sustainable Buildings and Cities
    identifier doi10.1115/1.4065704
    journal fristpage21003-1
    journal lastpage21003-12
    page12
    treeASME Journal of Engineering for Sustainable Buildings and Cities:;2024:;volume( 005 ):;issue: 002
    contenttypeFulltext
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