scholarly journals 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

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

scholarly journals Envelope Thermal Performance Analysis Based on Building Information Model (BIM) Cloud Platform—Proposed Green Mark Collaboration Environment

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 586 ◽  
Author(s):  
Ziwen Liu ◽  
Qian Wang ◽  
Vincent J.L. Gan ◽  
Luke Peh
Keyword(s):  
Thermal Performance ◽  
Green Building ◽  
Building Envelope ◽  
Information Modeling ◽  
Future Research ◽  
Building Information Model ◽  
Architectural Engineering ◽  
Collaboration Environment ◽  
Building Information

Building Information Modeling (BIM) and sustainable buildings are two future cornerstones of the Architectural, Engineering and Construction (AEC) industry. In Singapore’s context, the Green Mark (GM) scoring system is prevalently used to assess the sustainability index of green buildings. BIM provides the semantic and geometry information of buildings, which is proliferated as the technological and process backbone for the green building assessment. This research, through vast literature reviews, identified that the current procedure of achieving a Green Mark score is tedious and cumbersome, which hampers productivity, especially in the calculation of building envelope thermal performance. Furthermore, the project stakeholders work in silos, in a non-collaborative, manual and 2D-based environment for generating relevant documentation to achieve the requisite green mark score. To this end, a cloud-based BIM platform was developed, with the aim of encouraging project stakeholders to collaboratively generate the project’s green mark score digitally in accordance with the regulatory requirements. Through this research, the authors have validated the Envelope Thermal Transfer Value (ETTV) calculation, which is one of the prerequisite criteria to achieve a Green Mark score, through a case study using the developed cloud-based BIM platform. The results indicated that using the proposed platform enhances the productivity and accuracy as far as ETTV calculation is concerned. This study provides a basis for future research in implementing the proposed platform for other criteria under the Green Mark Scheme.

scholarly journals Assessing the Effectiveness of Building Information Modeling in Developing Green Buildings from a Lifecycle Perspective

2020 ◽  
Vol 12 (23) ◽  
pp. 9988
Author(s):  
Quan Wen ◽  
Zhongfu Li ◽  
Yifeng Peng ◽  
Baorong Guo
Keyword(s):  
Construction Industry ◽  
Building Information Modeling ◽  
Green Building ◽  
Decision Makers ◽  
Information Modeling ◽  
Estimation Accuracy ◽  
A Value ◽  
Functional Value ◽  
Building Information ◽  
Research Gap

Building information modeling (BIM) is an emerging technique in the construction industry. It is regarded as an effective approach for green building development; however, its effectiveness has not been sufficiently investigated from a lifecycle perspective. To bridge this research gap, this study investigates BIM application value in different phases of a green building through a convolutional neural network (CNN) method. To begin with, an assessment framework was developed with the consideration of balancing the estimation accuracy and the data size. Then, the validity of the developed model was verified from both theoretical and practical perspectives. Finally, the effectiveness of BIM was tested using the proposed framework. Results showed that the overall score of the tested project was four in the five-point Likert scale, with an average relative error less than 1%. From a value-based perspective, it is revealed that the application value of BIM represented a descending order throughout the lifecycle of the tested project. In addition, it is found that the functional value obtained the highest score, whereas social value was at the bottom. The findings of this study can help decision makers to detect the weaknesses of BIM implementation during green building development.

Integrating BIM Technology to Achieve Green Building’s Sustainable Performance

2014 ◽  
Vol 1073-1076 ◽  
pp. 1271-1274
Author(s):  
Yun Hui Yang
Keyword(s):  
Construction Industry ◽  
Building Information Modeling ◽  
Green Building ◽  
Information Modeling ◽  
Sustainable Performance ◽  
Operation And Maintenance ◽  
Building Management ◽  
Building Information ◽  
Design Construction ◽  
Design And Construction

Green building is rapidly transforming the design and construction industry around the globe. Simultaneously, a growing numbers of industry practitioners are taking the advantages of building information modeling (BIM) to upgrade the sustainable performance of green building. BIM tools encourage an integrated lifecycle green building management from design, construction, and prefabrication to operation and maintenance. This paper represents using BIM technology to achieve green building objectives and sustainable performances.

A New Design Concept by Using BIM for Reforming an Energy-Saving Campus Building

2013 ◽  
Vol 368-370 ◽  
pp. 1191-1195 ◽  
Author(s):  
Yi Zi Wang ◽  
Li Hong Juang ◽  
Wen Hua Liu
Keyword(s):  
Energy Saving ◽  
Building Information Modeling ◽  
Green Building ◽  
Information Modeling ◽  
Reform Strategy ◽  
Heat Protection ◽  
Building Information ◽  
Electricity Saving ◽  
Engineering Institute ◽  
Campus Building

Firstly, this article induces out the theme of reforming the energy-saving of campus buildings through the current situation about huge energy consumption from campus construction. Secondly, taking the buildings of Shantou University’s “Engineering Institute, CDIO innovation center” as an example and combining BIM(Building Information Modeling) with green building come up with every green reform strategy we will use to reach the purpose that changing the current building into a kind of better building which is water-saving, electricity-saving, ventilation and heat protection. Finally, we will make a conclusion that combining BIM with green building is a good way to make a feasible design for guide construction.

scholarly journals ANÁLISE DE MÉTODOS DE INTEGRAÇÃO ENTRE BIM E SIMULAÇÃO TERMO ENERGÉTICA DE EDIFICAÇÕES MILITARES

2020 ◽  
Vol 9 ◽  
pp. 125
Author(s):  
Breno Pontes Pimentel ◽  
Andréa Teresa Riccio Barbosa ◽  
Mayara Dias de Souza
Keyword(s):  
Virtual Environment ◽  
Building Information Modeling ◽  
Energy Analysis ◽  
Green Building ◽  
Information Modeling ◽  
Building Information

O objetivo deste artigo é analisar métodos de integração da plataforma Building information Modeling (BIM) no processo de simulação termo energética de edificações militares, para obtenção de Etiqueta Nacional de Conservação de Energia (ENCE) pelo Regulamento Técnico da Qualidade para o Nível de Eficiência Energética de Edificações (RTQ-C). A justificativa se dá pelo fato de o Exército Brasileiro (EB) ser obrigado a obter ENCE Nível “A” e a utilizar BIM em seus projetos, conformes normativas e leis brasileiras expressas no trabalho. Primeiro, buscou-se utilizar o Autodesk Revit para realizar a simulação, que é o software adotado pelo EB para elaboração de projetos em BIM, mais especificamente os plug-ins Energy Analysis e Green Building Studio. Devido a limitações encontradas, uma segunda fase procurou maneiras de fazer interoperabilidade entre Autodesk Revit e softwares de simulação, como o EnergyPlus, o Integrated Environmental Solutions Virtual Environment (IES-VE) e o DesignBuilder. Dentre essas opções, concluiu-se que o uso do Revit interoperável com DesignBuilder é mais adequado à análise de projetos do EB. Por fim, foi explicado como se dá a interoperabilidade entre esses dois últimos softwares e como se processará a simulação para obtenção de ENCE.

scholarly journals A review of Building Information Modeling research for green building design through building performance analysis

2020 ◽  
Vol 25 ◽  
pp. 1-40 ◽  
Author(s):  
Yun-Tsui Chang ◽  
Shang-Hsien Hsieh
Keyword(s):  
Performance Analysis ◽  
Information Exchange ◽  
Building Information Modeling ◽  
Integrated Design ◽  
Green Building ◽  
Building Design ◽  
Information Modeling ◽  
Building Performance ◽  
Green Building Design ◽  
Building Information

The strength of Building Information Modeling (BIM) in achieving sustainable buildings is well recognized by the global construction industry. However, current understanding of the state-of-the-art green BIM research is still limited. In particular, a focus study on how BIM contribute to green building design through building performance analysis (BPA) is not available. This paper aims to provide systematic and comprehensive insights on current trends and future potentials of green BIM research by analyzing the existing literature with their research features (i.e. research backgrounds, goals, methods and outputs). In total, 80 publications have been collected, analyzed and discussed. The results show that among ten main BPA types, energy & thermal analysis, green building rating analysis, and cost and benefit analysis are the most studied. However, wind & ventilation analysis, acoustic analysis, and water efficiency analysis receive little attention. Moreover, more research focusing on integrated design analysis should be carried out for optimal design outcome. In addition, most of the collected literature research on the capability of data integration and analysis of green BIM tools, while their capability of visualization and documentation has limited examination. Furthermore, most researchers utilized one main software package while utilization of information exchange formats (IEF) is limited. To increase interoperability of green BIM tools, how different BIM authoring tools and IEFs can be utilized for BPA requires further investigation.

scholarly journals A New Method for Human Posture Recognition Using Principal Component Analysis and Artificial Neural Network

2015 ◽  
Vol 7 (3) ◽  
pp. 11-19 ◽  
Author(s):  
M. Z. Uddin ◽  
M. A. Yousuf
Keyword(s):  
Neural Network ◽  
Principal Component Analysis ◽  
Artificial Neural Network ◽  
Supervised Learning ◽  
Principal Component ◽  
Component Analysis ◽  
Human Action ◽  
Human Posture ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

The recognition of human posture from images is currently a very active area of research in computer vision. This paper presents a novel recognition method to determine a human posture is of walking or sitting using Principal Component Analysis (PCA) and Artificial Neural Network (ANN). In this paper, two types of learning are used to recognize the human posture. One is unsupervised and another is supervised learning. We have used PCA for unsupervised learning and ANN for supervised learning. To evaluate the performance of the proposed method, we have considered four types of human posture; walking, sitting, right leg up-down and left leg up-down. The experimental results on the human action of walking, sitting, right leg up-down and left leg up-down database show that our approach produces accurate recognition.

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