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Bridging the gap: A tool to support ...
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Hijazi, Mohammed Omar.
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Bridging the gap: A tool to support bim data transparency for interoperability with building energy performance software.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Bridging the gap: A tool to support bim data transparency for interoperability with building energy performance software./
作者:
Hijazi, Mohammed Omar.
面頁冊數:
133 p.
附註:
Source: Masters Abstracts International, Volume: 54-05.
Contained By:
Masters Abstracts International54-05(E).
標題:
Architecture. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1589250
ISBN:
9781321765113
Bridging the gap: A tool to support bim data transparency for interoperability with building energy performance software.
Hijazi, Mohammed Omar.
Bridging the gap: A tool to support bim data transparency for interoperability with building energy performance software.
- 133 p.
Source: Masters Abstracts International, Volume: 54-05.
Thesis (M.B.S.)--University of Southern California, 2015.
Many gaps exist between (BIM) authoring software and Building Energy Modeling (BEM) tools. One gap is due to loss of data in the exchange between the design and energy simulation models. Energy efficiency is now, more than ever, a top concern that should be addressed in the earliest of the design stages. Explaining, understanding, and enhancing the data transfer between software would allow better design decisions through more accurate coordination between energy simulation and building modeling.
ISBN: 9781321765113Subjects--Topical Terms:
523581
Architecture.
Bridging the gap: A tool to support bim data transparency for interoperability with building energy performance software.
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Many gaps exist between (BIM) authoring software and Building Energy Modeling (BEM) tools. One gap is due to loss of data in the exchange between the design and energy simulation models. Energy efficiency is now, more than ever, a top concern that should be addressed in the earliest of the design stages. Explaining, understanding, and enhancing the data transfer between software would allow better design decisions through more accurate coordination between energy simulation and building modeling.
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The data exchange is done mainly using either Green Building XML (gbXML) or Industry Foundation Classes (IFC). Both offer geometrical and thermal data transfers; however they are structured and function differently. Their structure, ability to encode, and ability transfer relevant data from BIM authoring software to the BEM tools were examined.
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A simple model was exported from BIM authoring software using both file formats and then imported to selected energy simulation tools. The export functionality of the BIM-authoring software and the import functionality of the BEM tools was "validated" by comparing the values with the original inputted data in the BIM authoring tool. Special consideration was given to understanding and testing the structure of the data models to encode both geometric data and information, the ability of BIM authoring tools to export, and energy software to import the appropriate data. In many cases, the exchange of data was not complete and in several cases inaccurate or not transparent to the user.
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A major failing in the data transfer was also user expectations. A user might assume that the data transfer is accurate and therefore base on its export from the building information modeling software; another assumption might be that because it is not, it is useless. It would be extremely helpful to show exactly not only what is being transferred, but also what is actually input as the file is loaded into the energy software. Transparency is critical, especially for inexperienced users. A Data Transparency Tool (DTT) was developed to allow the user to verify the data in the gbXML files and then correct inaccuracies. This is done by applying a transparency layer upon the gbXML data model so users can easily understand what is being transferred.
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The process of creating the tool was divided into three steps: 1) Matching gbXML enumerations with a defined set of critical building variables that affect energy consumption. These variables were grouped under four main categories: program, form, fabric and equipment. 2) Utilizing the gbXML XML schema to map new XML schemes that match the variable set. 3) Presenting the scheme in a Data Transparency Tool that would automatically populate and analyze the data.
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