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Virginia Tech

1. Xiong, Yunjie. A BIM-based Interoperability Platform in Support of Building Operation and Energy Management.

Degree: PhD, Environmental Design and Planning, 2020, Virginia Tech

Building energy efficiency is progressively becoming a crucial topic in the architecture, engineering, and construction (AEC) sector, promising appropriate energy savings can be achieved over the life cycle of buildings through proper design, construction, and operation. Energy management tools have been developed towards this end. Building energy simulation (BES) is a tool mainly used to analyze and compare the energy consumption of various design/operation scenarios. These instances include the selection of both new and retrofit designs and for building codes, building commissioning, and real-time optimal control, among others. The main challenge surrounding BES is the discrepancy between quantitative results and actual performance data. Building automation systems (BAS), or a part of BAS which is often referred to as building energy management systems (BEMS), works as another energy management tool to monitor, measure and collect operational data, all in an effort to optimize energy consumption. The key disadvantage to the more general tool of BAS in energy management is that the data sets collected by BAS are typically too large to be analyzed effectively. One potential solution to the lack of effective energy management analysis may lie in the integration of BES and BAS. Actual operational data can be compared with simulation results in assessing the accuracy of an energy model while the energy model can be applied as a benchmark for evaluating the actual energy consumption and optimizing control strategies. The presented research predicted that building information modeling (BIM) would link BES and BAS by acting as a visual model and a database throughout the lifecycle of a building. The intent of the research was to use BIM to document energy-related information and to allow its exchange between BES and BAS. Thus, the energy-related data exchange process would be simplified, and the productive efficiency of facility management processes would increase. More specifically, this research posits the framework of integrating BIM, BES, and BAS to produce a seamless and real-time energy-related information exchange system. The proposed framework enables automated or semi-automated multiple-model development and data analytics processes. In addition, the research explored how BIM can enhance the application of energy modeling during building operation processes as a means to improve overall energy performance and facility management productivity. Advisors/Committee Members: Reichard, Georg (committeechair), Roofigari-Esfahan, Nazila (committee member), Turkaslan Bulbul, Muhsine Tanyel (committee member), Jazizadeh Karimi, Farrokh (committee member).

Subjects/Keywords: BIM; Building Energy Simulation; Building Automation System; IFC

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Xiong, Y. (2020). A BIM-based Interoperability Platform in Support of Building Operation and Energy Management. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97364

Chicago Manual of Style (16th Edition):

Xiong, Yunjie. “A BIM-based Interoperability Platform in Support of Building Operation and Energy Management.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 09, 2020. http://hdl.handle.net/10919/97364.

MLA Handbook (7th Edition):

Xiong, Yunjie. “A BIM-based Interoperability Platform in Support of Building Operation and Energy Management.” 2020. Web. 09 Apr 2020.

Vancouver:

Xiong Y. A BIM-based Interoperability Platform in Support of Building Operation and Energy Management. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2020 Apr 09]. Available from: http://hdl.handle.net/10919/97364.

Council of Science Editors:

Xiong Y. A BIM-based Interoperability Platform in Support of Building Operation and Energy Management. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97364

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