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A methodology to determine and classify data sharing requirements between OpenBIM models and energy simulation models

Energy analysis at different stages of a building’s life-cycle allows designers and engineers to make proper design decisions, which will enhance the efficiency and energy saving measures. However, energy analysis of a building using traditional methods at every stage of the project is time-consuming and more labor intensive. Thus, energy simulations of buildings are rarely introduced in all design stages of the project. This study focuses on data transfer process from BIM model (Revit) to energy simulation model (IES ‹VE›) using OpenBIM meta-data model - Industry Foundation Classes (IFC) as an exchangeable file format. This data sharing process simplifies the complexity in energy modeling and allows to investigate different design alternatives in each phase of the building’s life-cycle. To investigate the efficiency and completeness of this data transfer process, a demonstration of data sharing is carried. By evaluating the results from the demonstration, efficiency gaps are identified in the data transferred process. A detailed investigation on the cause of efficiency gaps in data sharing is carried out and incorporated in this paper.:Abstract
1. Introduction
2. Building Energy Simulation
2.1. Categorization of Energy Simulation Models
3. Data Sharing Requirements - IFC
4. Data Sharing Demonstration
4.1. BIM model
4.2. Data investigation with model viewer
4.3. Data quality verification in energy simulation model
4.3.1. Evaluation of Results
5. Conclusion
References

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:73548
Date29 January 2021
CreatorsKarlapudi, Janakiram
ContributorsShetty, Suraj
PublisherUniversitätsverlag der TU Berlin
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relation978-3-7983-3104-4, 10.14279/depositonce-8763, 978-3-7983-3104-4, 10.1007/978-3-030-62412-5_11, 978-3-030-62411-8

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