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    Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations

    Source: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 006
    Author:
    Omer T. Karaguzel
    ,
    Mohammed Elshambakey
    ,
    Yimin Zhu
    ,
    Tianzhen Hong
    ,
    William J. Tolone
    ,
    Sreyasee Das Bhattacharjee
    ,
    Isaac Cho
    ,
    Wenwen Dou
    ,
    Haopeng Wang
    ,
    Siliang Lu
    ,
    Mohamed Khalefa
    ,
    Yong Tao
    DOI: 10.1061/(ASCE)CP.1943-5487.0000857
    Publisher: American Society of Civil Engineers
    Abstract: Building energy simulation plays an increasingly important role in building design and operation. This paper presents an open computing infrastructure, Virtual Information Fabric Infrastructure (VIFI), that allows building designers and engineers to enhance their simulations by combining empirical data with diagnostic or prognostic models. Based on the idea of dynamic data-driven application systems (DDDAS), the VIFI infrastructure complements conventional data-centric sharing strategies and addresses key data-sharing concerns such as the privacy of building occupants. To demonstrate the potential of the VIFI infrastructure, an empirically derived lighting schedule in the US Department of Energy’s small office building reference model is simulated. The case-study simulation is used to explore (1) the possibility and potential of integrating data-centric and analytic-centric sharing strategies; (2) the method of combining empirical data with simulations; (3) the creation, sharing, and execution of analytics using VIFI; and (4) the impact of incorporating empirical data on energy simulations. Although the case study reveals clear advantages of the VIFI data infrastructure, research questions remain surrounding the motivation and benefits for sharing data, the metadata that are required to support the composition of analytics, and the performance metrics that could be used in assessing the applications of VIFI.
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      Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4260121
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    contributor authorOmer T. Karaguzel
    contributor authorMohammed Elshambakey
    contributor authorYimin Zhu
    contributor authorTianzhen Hong
    contributor authorWilliam J. Tolone
    contributor authorSreyasee Das Bhattacharjee
    contributor authorIsaac Cho
    contributor authorWenwen Dou
    contributor authorHaopeng Wang
    contributor authorSiliang Lu
    contributor authorMohamed Khalefa
    contributor authorYong Tao
    date accessioned2019-09-18T10:40:29Z
    date available2019-09-18T10:40:29Z
    date issued2019
    identifier other%28ASCE%29CP.1943-5487.0000857.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4260121
    description abstractBuilding energy simulation plays an increasingly important role in building design and operation. This paper presents an open computing infrastructure, Virtual Information Fabric Infrastructure (VIFI), that allows building designers and engineers to enhance their simulations by combining empirical data with diagnostic or prognostic models. Based on the idea of dynamic data-driven application systems (DDDAS), the VIFI infrastructure complements conventional data-centric sharing strategies and addresses key data-sharing concerns such as the privacy of building occupants. To demonstrate the potential of the VIFI infrastructure, an empirically derived lighting schedule in the US Department of Energy’s small office building reference model is simulated. The case-study simulation is used to explore (1) the possibility and potential of integrating data-centric and analytic-centric sharing strategies; (2) the method of combining empirical data with simulations; (3) the creation, sharing, and execution of analytics using VIFI; and (4) the impact of incorporating empirical data on energy simulations. Although the case study reveals clear advantages of the VIFI data infrastructure, research questions remain surrounding the motivation and benefits for sharing data, the metadata that are required to support the composition of analytics, and the performance metrics that could be used in assessing the applications of VIFI.
    publisherAmerican Society of Civil Engineers
    titleOpen Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations
    typeJournal Paper
    journal volume33
    journal issue6
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)CP.1943-5487.0000857
    page04019037
    treeJournal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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