Energy Modeling System Using Building Information Modeling Open Standards

2013 ◽  
Vol 27 (3) ◽  
pp. 203-211 ◽  
Author(s):  
Hyunjoo Kim ◽  
Kyle Anderson
Keyword(s):  
Building Information Modeling ◽  
Energy Modeling ◽  
Information Modeling ◽  
Building Information ◽  
Open Standards

scholarly journals Method for Building Information Modeling Supported Project Control of Nearly Zero-Energy Building Delivery

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5519
Author(s):  
Sanjin Gumbarević ◽  
Ivana Burcar Dunović ◽  
Bojan Milovanović ◽  
Mergim Gaši
Keyword(s):  
Building Information Modeling ◽  
Control Method ◽  
Energy Simulation ◽  
Energy Modeling ◽  
Information Modeling ◽  
Project Delivery ◽  
Control Procedure ◽  
Project Control ◽  
Zero Energy ◽  
Building Information

With the increasing number of nearly zero-energy buildings (NZEB) due to increase of global awareness on climate change, the new concepts of design and control must be developed because of great NZEB dependency on detailing and multidisciplinary approach. This paper proposes a three-level gateway control method for NZEB project delivery by using digital representation of the building in building information modeling (BIM) environment. These controls (C1, C2 and C3) are introduced before three main phases of any project delivery—design phase, construction phase and handover. The proposed project control procedure uses black-box building energy modeling within the BIM environment, so the paper explores the reliability of one tool for direct energy modeling within the BIM-authoring software. The paper shows two types of validation tests with satisfactory results. This leads to conclusion that analyzed tool for energy simulation within BIM environment can be used in a way that is described in a proposed project control procedure. For further research it is proposed to explore reliability of tools for energy simulation connected to other BIM-authoring software, so this project control procedure could be independent of BIM-authoring software used in the paper.

scholarly journals Building Information Modeling-Based Building Energy Modeling: Investigation of Interoperability and Simulation Results

2020 ◽  
Vol 6 ◽  
Author(s):  
Mohamed H. Elnabawi
Keyword(s):  
Large Scale ◽  
Building Information Modeling ◽  
Data Transfer ◽  
Building Design ◽  
Building Energy ◽  
Energy Modeling ◽  
Low Energy ◽  
Information Modeling ◽  
Building Energy Modeling ◽  
Building Information

There is increasing need to apply building information modeling (BIM) to low energy buildings, this includes building energy modeling (BEM). If a building energy model can be flawlessly generated from a BIM model, the energy simulation process can be better integrated within the design, can be more competent, and timesaving. However, concerns about both the reliability and integrity of the data transfer process and the interoperability between the BIM and BEM prevent any implementation of BIM-based energy modeling on a large scale. This study addresses the accuracy and integrity of BIM-based energy modeling by investigating how well Autodesk's Revit (BIM), in conjunction with two of the most used energy modeling programs (BEM) known as DesignBuilder and Virtual Environment (IES-ve), were integrated in terms of interoperability, including location and weather files, geometry, construction and materials, thermal zones, occupancy operating schedules, and HVAC systems. All misrepresented data during the interoperability process were identified, followed by benchmarking between the BIM-based energy modeling simulation outcomes and the actual energy consumption of the case study, to assess the reliability of the process. The investigation has revealed a number of interoperability issues regarding the BIM data input and BEM data interpretation. Overall, BIM-based energy modeling proved to be a promising tool for sustainable and low energy building design, however, the BIM to BEM process is a non-standardized method of producing building energy models as it varies from one modeler to another, and the BIM to BEM process. All these might slow down any possible application for the process and might cause some uncertainties for the professionals in the field applying it.

scholarly journals Translating Building Information Modeling to Building Energy Modeling Using Model View Definition

2014 ◽  
Vol 2014 ◽  
pp. 1-21 ◽  
Author(s):  
WoonSeong Jeong ◽  
Jong Bum Kim ◽  
Mark J. Clayton ◽  
Jeff S. Haberl ◽  
Wei Yan
Keyword(s):  
Process Model ◽  
Building Information Modeling ◽  
Data Modeling ◽  
Building Energy ◽  
Energy Modeling ◽  
Information Modeling ◽  
Class Diagram ◽  
Building Energy Modeling ◽  
Building Information ◽  
Model View

This paper presents a new approach to translate between Building Information Modeling (BIM) and Building Energy Modeling (BEM) that uses Modelica, an object-oriented declarative, equation-based simulation environment. The approach (BIM2BEM) has been developed using a data modeling method to enable seamless model translations of building geometry, materials, and topology. Using data modeling, we created a Model View Definition (MVD) consisting of a process model and a class diagram. The process model demonstrates object-mapping between BIM and Modelica-based BEM (ModelicaBEM) and facilitates the definition of required information during model translations. The class diagram represents the information and object relationships to produce a class package intermediate between the BIM and BEM. The implementation of the intermediate class package enables system interface (Revit2Modelica) development for automatic BIM data translation intoModelicaBEM. In order to demonstrate and validate our approach, simulation result comparisons have been conducted via three test cases using (1) the BIM-based Modelica models generated fromRevit2Modelicaand (2) BEM models manually created using LBNL Modelica Buildings library. Our implementation shows thatBIM2BEM(1) enables BIM models to be translated intoModelicaBEMmodels, (2) enables system interface development based on the MVD for thermal simulation, and (3) facilitates the reuse of original BIM data into building energy simulation without an import/export process.

A case study to explore the synergy between HBIM and BEM for maintenance of historical buildings

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ana Carolina Franco De Oliveira ◽  
Cristiano Saad Travassos do Carmo ◽  
Alexandre Santana Cruz ◽  
Renata Gonçalves Faisca
Keyword(s):  
Energy Consumption ◽  
Building Information Modeling ◽  
Energy Performance ◽  
Energy Modeling ◽  
Information Modeling ◽  
Historical Buildings ◽  
Content Type ◽  
Building Information ◽  
Terrestrial Photogrammetry

PurposeIn developing countries, such as Brazil, the construction sector is consistently focused on the construction of new buildings, and there is no dissemination of the preservation, restoration and maintenance of historic buildings. Idle buildings, due to the use and lack of maintenance, present pathological manifestations, such as moisture problems that compromise specially their thermal and energy performance. With this in mind, the purpose of this work is to create a digital model using terrestrial photogrammetry and suggest retrofit interventions based on computer simulation to improve the thermal and energy performance of a historical building.Design/methodology/approachThe proposed methodology combined terrestrial photogrammetry using common smartphones and commercial software for historical buildings with building information modeling (historic building information modeling (HBIM)) and building energy modeling (BEM). The approach follows five steps: planning, site visit, data processing, data modeling and results. Also, as a case study, the School of Architecture and Urbanism of the Fluminense Federal University, built in 1888, was chosen to validate the approach.FindingsA digital map of pathological manifestations in the HBIM model was developed, and interventions considering the application of expanded polystyrene in the envelope to reduce energy consumption were outlined. From the synergy between HBIM and BEM, it was concluded that the information modeled using photogrammetry was fundamental to create the energy model, and simulations were needed to optimize the possible solutions in terms of energy consumption.Originality/valueFirstly, the work proposes a reasonable methodology to be applied in development countries without sophisticated technologies, but with acceptable precision for the study purpose. Secondly, the presented study shows that the use of HBIM for energy modeling proved to be useful to simulate possible solutions that optimize the thermal and energy performance.

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