A Novel Building Information Modeling-based Method for Improving Cost and Energy Performance of the Building Envelope

Apartments in South Korea have high maintenance costs and an average lifetime of 25 years due to poor construction qualities. The common apartment redevelopment strategy is completely demolishing the neighborhoods and then replacing them with new buildings. However, this research discusses the framework for the refurbishment of an existing building in Seoul using Building Information Modeling (BIM) and parametric tools. The virtual model of an exemplary existing building is constructed in a BIM environment. Parametric software is used to simulate the building’s environmental performance, in order to determine its energy demand for heating and cooling and the indoor comfort. In order to reduce the energy demand for heating and cooling, improve the indoor comfort, generate photovoltaic energy and extend the building’s lifetime, a modular building envelope renovation system is developed. Building simulation results of the improved building envelope are used to quantify the differences with the existing building. The research results illustrate significant improvements in energy performance, comfort and lifetime extension that can be achieved. Furthermore, a guideline for a streamlined building optimization process is provided, that can be transferred and used for the planning and optimization of other building renovation projects.

Download Full-text

Data Management Using Computational Building Information Modeling for Building Envelope Retrofitting

Smart and Sustainable Cities and Buildings ◽

10.1007/978-3-030-37635-2_13 ◽

2020 ◽

pp. 205-216

Author(s):

Taki Eddine Seghier ◽

Mohd Hamdan Ahmad ◽

Lim Yaik Wah ◽

Muhamad Farhin Harun

Keyword(s):

Data Management ◽

Building Information Modeling ◽

Building Envelope ◽

Information Modeling ◽

Building Information

Download Full-text

ENERGY ANALYSIS OF WALL MATERIALS USING BUILDING INFORMATION MODELING (BIM) OF PUBLIC BUILDINGS IN THE TROPICAL CLIMATE COUNTRIES

Jurnal Teknologi ◽

10.11113/jt.v78.7591 ◽

2016 ◽

Vol 78 (10) ◽

Cited By ~ 1

Author(s):

Aidin Nobahar Sadeghifam ◽

Abdul Kadir Marsono ◽

Iman Kiani ◽

Umit Isikdag ◽

Ali Asghar Bavafa ◽

...

Keyword(s):

Energy Saving ◽

Building Information Modeling ◽

Energy Analysis ◽

Electrical Energy ◽

Energy Performance ◽

Information Modeling ◽

Public Buildings ◽

Wide Range ◽

Building Information ◽

Wall Materials

During the previous two decades, the energy saving potential using systematic building management is considered to be important which should be considered through the building lifecycle. Among the wide range types of different buildings, Public buildings are considered as one of the biggest energy-consuming sector in the world and major part of this amount is used by the air conditioning system especially in tropical climates. The most effective decisions related to sustainable design of a building facility are made in the feasibility and early design stages. Building Information Modeling (BIM) can expedite this process and provide the opportunity of testing and assessing different design alternatives and materials selection that may impact on energy performance of buildings. This paper aims at evaluating the efficiency of various types of wall materials with regard to theirs properties on energy saving. The case study in this paper is modeled by means of BIM application and then simulated by software, which is appropriate for energy analysis. The current energy consumption patterns of this case identified and shifted to the optimized level of energy usages by changing the walls materials to find most optimized of walls materials. Modification most optimized wall materials and energy analysis indicated 9347 Wh in Per meter square of electrical energy saving.

Download Full-text

Analysis of Thermal Behavior of Materials in the Building Envelope Using Building Information Modeling (BIM)—A Case Study Approach

Open Journal of Energy Efficiency ◽

10.4236/ojee.2016.53009 ◽

2016 ◽

Vol 05 (03) ◽

pp. 88-106 ◽

Cited By ~ 2

Author(s):

Maryam Habibi Anbouhi ◽

Nariman Farahza ◽

Seyed Mohammad Hossein Ayatollahi

Keyword(s):

Thermal Behavior ◽

Building Information Modeling ◽

Building Envelope ◽

Information Modeling ◽

Case Study Approach ◽

Study Approach ◽

Building Information

Download Full-text

Intelligent Services for Building Information Modeling - Assessing Variable Input Weather Data for Building Simulations

The Open Construction and Building Technology Journal ◽

10.2174/1874836820131022005 ◽

2013 ◽

Vol 7 (1) ◽

pp. 138-145 ◽

Cited By ~ 2

Author(s):

Constantinos A. Balaras ◽

Simon Kontoyiannidis ◽

Elena G. Dascalaki ◽

Kaliopi G. Droutsa

Keyword(s):

Building Information Modeling ◽

Building Design ◽

Energy Performance ◽

Information Modeling ◽

Weather Data ◽

Climate Data ◽

Building Simulations ◽

Design Variables ◽

Building Information ◽

The Impact

Building Information Modeling (BIM) for optimizing the total lifecycle cost of buildings is a challenge even today. Inadequate software interoperability, high costs as a result of the fragmented nature of the building industry, lack of standardization, inconsistent technology adoption among stakeholders are just some of the obstacles that architects and engineers face. However, optimization requires a structured procedure that enables continuous changes in design variables and assessment on energy consumption. A holistic building design and construction are already introduced in Europe through the energy performance of buildings directive (EPBD). The requirements have been strengthened by the EPBD recast for achieving cost optimal building designs for the life cycle of the building, moving towards nearly zero energy buildings by the end of the decade. BIM and intelligent services could play a crucial role in these efforts with improved visualization and productivity due to easy retrieval of information, increased coordination of data and exchange of information, all leading to a reduced cost for the design of energy efficient buildings. An ongoing European research project aims to contribute to these needs by developing a Virtual Energy Laboratory that will support building energy performance simulations taking into account the stochastic nature of input parameters and processes. This will be supported by information communication technology features utilizing the necessary computational power through cloud computing. This paper presents an overview of the ongoing efforts and focuses on results for assessing the impact of different input weather and climate data that are pertinent in building load and energy performance calculations.

Download Full-text

Enhancing Validity of Green Building Information Modeling with Artificial-neural-network-supervised Learning - Taking Construction of Adaptive Building Envelope Based on Daylight Simulation as an Example

Sensors and Materials ◽

10.18494/sam.2019.2147 ◽

2019 ◽

Vol 31 (6) ◽

pp. 1831

Author(s):

Shang-Yuan Chen

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Supervised Learning ◽

Building Information Modeling ◽

Green Building ◽

Building Envelope ◽

Information Modeling ◽

Building Information ◽

Artificial Neural

Download Full-text

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

International Journal of Building Pathology and Adaptation ◽

10.1108/ijbpa-03-2021-0033 ◽

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.

Download Full-text