Investigating Building Information Model (BIM) to Building Energy Simulation (BES): Interoperability and Simulation Results

dc.AffiliationOctober University for modern sciences and Arts (MSA)
dc.contributor.authorElnabawi M.H.
dc.contributor.authorHamza N.
dc.contributor.otherCollege of Engineering
dc.contributor.otherApplied Science University
dc.contributor.otherBahrain
dc.contributor.otherFaculty of Engineering
dc.contributor.otherMSA University
dc.contributor.otherCairo
dc.contributor.otherEgypt; School of Architecture
dc.contributor.otherPlanning and Landscape
dc.contributor.otherNewcastle University
dc.contributor.otherUnited Kingdom
dc.date.accessioned2020-01-09T20:40:29Z
dc.date.available2020-01-09T20:40:29Z
dc.date.issued2019
dc.descriptionScopus
dc.description.abstractBuildings are a main contributor to energy consumption, it accounts for approximately one-third of global energy use; therefore, Building Information Modelling (BIM) has become an emerging digital technology in the architecture, engineering and construction (AEC) industry. There is a growing demand on applying BIM for low energy buildings including the building energy simulation (BES). However, there exist challenges for exchanging data and interoperability has caused barriers to utilize the information from BIM for BES. This paper explored the energy model accuracy of two different software including Autodesk Revit and DesignBuilder. The annual electricity consumption of the two programs were analyzed and compared to the actual measured consumption data of three typical residential building on different three locations including Cairo, Alexandria and Asyut. The outcomes suggest that comparisons may be made between building energy performance simulated data and measured data, nevertheless the outcomes might vary based on the human behavior patterns within the model. Additionally, the results show that DesignBuilder simulated data was close to actual data for the electricity consumption than the Revit however both programs were very close to the actual measured data. � 2019 IOP Publishing Ltd.en_US
dc.description.sponsorshipet al.;i-Build for Engineering and Projects Management;SHM Studio;The American University in Cairo;The International Building Performance Simulation Association in Egypt (IBPSA-Egypt);Zain United Corporationen_US
dc.identifier.doihttps://doi.org/10.1088/1755-1315/397/1/012013
dc.identifier.doiPubMed ID :
dc.identifier.issn17551307
dc.identifier.otherhttps://doi.org/10.1088/1755-1315/397/1/012013
dc.identifier.otherPubMed ID :
dc.identifier.urihttps://iopscience.iop.org/article/10.1088/1755-1315/397/1/012025
dc.language.isoEnglishen_US
dc.publisherInstitute of Physics Publishingen_US
dc.relation.ispartofseriesIOP Conference Series: Earth and Environmental Science
dc.relation.ispartofseries397
dc.subjectBESen_US
dc.subjectBIMen_US
dc.subjectInteroperabilityen_US
dc.subjectBehavioral researchen_US
dc.subjectBerylliumen_US
dc.subjectElectric power utilizationen_US
dc.subjectEnergy utilizationen_US
dc.subjectInformation theoryen_US
dc.subjectInteroperabilityen_US
dc.subjectAnnual electricity consumptionen_US
dc.subjectArchitecture , engineering and construction industriesen_US
dc.subjectBuilding energy performanceen_US
dc.subjectBuilding energy simulationsen_US
dc.subjectBuilding Information Model - BIMen_US
dc.subjectBuilding Information Modellingen_US
dc.subjectElectricity-consumptionen_US
dc.subjectHuman behavior patternsen_US
dc.subjectArchitectural designen_US
dc.titleInvestigating Building Information Model (BIM) to Building Energy Simulation (BES): Interoperability and Simulation Resultsen_US
dc.typeConference Paperen_US
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