Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy SimulationsSource: Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 006Author: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.1943-5487.0000857Publisher: 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.
|
Collections
Show full item record
contributor author | Omer T. Karaguzel | |
contributor author | Mohammed Elshambakey | |
contributor author | Yimin Zhu | |
contributor author | Tianzhen Hong | |
contributor author | William J. Tolone | |
contributor author | Sreyasee Das Bhattacharjee | |
contributor author | Isaac Cho | |
contributor author | Wenwen Dou | |
contributor author | Haopeng Wang | |
contributor author | Siliang Lu | |
contributor author | Mohamed Khalefa | |
contributor author | Yong Tao | |
date accessioned | 2019-09-18T10:40:29Z | |
date available | 2019-09-18T10:40:29Z | |
date issued | 2019 | |
identifier other | %28ASCE%29CP.1943-5487.0000857.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4260121 | |
description 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. | |
publisher | American Society of Civil Engineers | |
title | Open Computing Infrastructure for Sharing Data Analytics to Support Building Energy Simulations | |
type | Journal Paper | |
journal volume | 33 | |
journal issue | 6 | |
journal title | Journal of Computing in Civil Engineering | |
identifier doi | 10.1061/(ASCE)CP.1943-5487.0000857 | |
page | 04019037 | |
tree | Journal of Computing in Civil Engineering:;2019:;Volume ( 033 ):;issue: 006 | |
contenttype | Fulltext |