Environmental and economic evaluation of PV solar system for remote communities using building information modeling: A case study

2019 ◽  
pp. 61-74
Author(s):  
Muhammad Saleem ◽  
Rajeev Ruparathna ◽  
Rehan Sadiq ◽  
Kasun Hewage
Keyword(s):  
Economic Evaluation ◽  
Solar System ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Remote Communities ◽  
Building Information

scholarly journals Integration of Emergy Analysis with Building Information Modeling

2021 ◽  
Vol 13 (14) ◽  
pp. 7990
Author(s):  
Suman Paneru ◽  
Forough Foroutan Jahromi ◽  
Mohsen Hatami ◽  
Wilfred Roudebush ◽  
Idris Jeelani
Keyword(s):  
Life Cycle ◽  
Building Materials ◽  
Building Information Modeling ◽  
Energy Analysis ◽  
Information Modeling ◽  
Environmental Cost ◽  
Emergy Analysis ◽  
Modeling Tools ◽  
Building Information

Traditional energy analysis in Building Information Modeling (BIM) only accounts for the energy requirements of building operations during a portion of the occupancy phase of the building’s life cycle and as such is unable to quantify the true impact of buildings on the environment. Specifically, the typical energy analysis in BIM does not account for the energy associated with resource formation, recycling, and demolition. Therefore, a comprehensive method is required to analyze the true environmental impact of buildings. Emergy analysis can offer a holistic approach to account for the environmental cost of activities involved in building construction and operation in all its life cycle phases from resource formation to demolition. As such, the integration of emergy analysis with BIM can result in the development of a holistic sustainability performance tool. Therefore, this study aimed at developing a comprehensive framework for the integration of emergy analysis with existing Building Information Modeling tools. The proposed framework was validated using a case study involving a test building element of 8’ × 8’ composite wall. The case study demonstrated the successful integration of emergy analysis with Revit®2021 using the inbuilt features of Revit and external tools such as MS Excel. The framework developed in this study will help in accurately determining the environmental cost of the buildings, which will help in selecting environment-friendly building materials and systems. In addition, the integration of emergy into BIM will allow a comparison of various built environment alternatives enabling designers to make sustainable decisions during the design phase.

Development of a tool for measuring building information modeling (BIM) user satisfaction – method selection, scale development and case study

2020 ◽  
Vol 27 (9) ◽  
pp. 2409-2427
Author(s):  
Honglei Liu ◽  
Jiule Song ◽  
Guangbin Wang
Keyword(s):  
User Satisfaction ◽  
Building Information Modeling ◽  
Measurement Instrument ◽  
Triangular Fuzzy Number ◽  
Entropy Method ◽  
Information Modeling ◽  
Content Type ◽  
Building Information ◽  
Aec Industry

PurposeWith the increasing attention acquired from researchers and practitioners in Architecture, Engineering and Construction (AEC) industry, building information modeling (BIM) has fundamentally changed the approach we design, construct and delivery, as well as operate and maintenance of buildings and civil infrastructures. This study tries to provide an innovative perspective on BIM research. This study aims to analyze the necessity and feasibility of BIM user satisfaction research and define what BIM user satisfaction is, and then to develop a quantitative method for the measurement of BIM user satisfaction.Design/methodology/approachAs it is indicated in the content, BIM user satisfaction is measured by the sum of the user's weighted reactions to a set of factors. To be specific, the entropy method was adopted to calculate the “weighting” of the factors, and the triangular fuzzy number (TFN) method was selected to compute the “scoring” of the factors. Through the literature review, methodology and tool development, as well as case study and discussions, this paper was generated sequentially.FindingsThis study found that the proposed tool for the measurement of BIM success is valid and reliable; it formerly translated the conceptual definition of BIM user satisfaction into an accurate measurement instrument. It also indicated that many factors are affecting the BIM users' satisfaction, and each of the factors inherited various importance and score, and the findings are expected to improve the performance and effectiveness of BIM management.Originality/valueThrough the translation of the conceptual BIM user satisfaction into a valid quantitative measurement instrument, this research provides an excellent framework for the management of BIM from the user's perspective, and it could help to stimulate user's acceptance of BIM in the AEC industry in future.

scholarly journals Effect of Building Information Modeling (BIM) on reduced construction time-costs: a case study

2020 ◽  
Vol 202 ◽  
pp. 02012
Author(s):  
Moh Nur Sholeh ◽  
Shifa Fauziyah ◽  
Riqi Radian Khasani
Keyword(s):  
Construction Projects ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Late Time ◽  
Construction Time ◽  
Interesting Study ◽  
Cut Time ◽  
Building Information ◽  
Technological Developments

Building Information Modeling (BIM) is an interesting study to be explored by technological developments. Especially with the Covid-19 pandemic, construction actors are encouraged to work according to the applicable protocol. BIM as integrated tool for managing projects from the beginning to the end of the work. On one side the classic problems of construction projects are high costs, late time, and quality that is not according to specifications. The purpose of this study is to analyze the effect of the use of BIM in construction projects on time and cost. A case study was carried out on a construction project that had implemented BIM. The results showed the use of BIM could cut time by 50% faster and reduce costs by 52.36%. This time and cost-effectiveness are caused by the number of workers needed and the reduced duration so that it has an impact on fundin.

Higher Education Program Development for Structural Building Information Modeling(S-BIM)

2013 ◽  
Vol 838-841 ◽  
pp. 3176-3179
Author(s):  
Young Sang Cho ◽  
Sung Chul Hong ◽  
Je Hyuk Lee ◽  
Hyun Suk Jang
Keyword(s):  
North America ◽  
Cultural Change ◽  
Building Information Modeling ◽  
Academic Community ◽  
Information Modeling ◽  
The North ◽  
Building Information ◽  
Structural Engineers ◽  
Aec Industry

AEC (Architecture, Engineering, and Construction) industries are in the process of paradigm shift on the performance of practice, particularly in the fields of architects, consulting engineers such as structural engineers for structural BIM, civil engineers, MEP engineers, and contractors led by Building Information Modeling (BIM). Overall adoption of BIM in the AEC industries of North America has increased from 17% in 2007 to 71% in 2012 which is over 400% growth over last 5 years. This study analyzes and examines the BIM adoption status of AEC industry in the world including the North America and in the R.O. Korea through the literature survey. This study also examines how academic community is preparing for the drastic cultural change of work process in the construction industry due to BIM adoption in the foreign and domestic AEC industry. This paper presents the case study of BIM education including Capstone Design in the R.O. Korea. This study is to propose that academia needs to establish the appropriate educational curriculum and implementation to enhance, improve and research the state of art BIM technology together with AEC industry.

A visual dashboard to monitor BIM model dynamics

2020 ◽  
Vol 47 (2) ◽  
pp. 178-185
Author(s):  
Hisham Abou-Ibrahim ◽  
Farook Hamzeh
Keyword(s):  
Construction Industry ◽  
Dynamic Process ◽  
Building Information Modeling ◽  
Model Development ◽  
Information Modeling ◽  
Design Management ◽  
Model Dynamics ◽  
Building Information ◽  
Product And Process

The use of Building Information Modeling (BIM) is on the rise in the construction industry as more of its potential is being harnessed. The evolution of BIM models is a dynamic process where a project’s information is progressively developing during a project’s timeline. Although several studies track a project’s evolution from product and process perspectives, they do not necessarily track actual model dynamics occurring at the level of model elements for design management purposes. In this regard, this study introduces five variables to track changes witnessed across BIM model development using a visual dashboard designed to facilitate their interpretation and use by practitioners. The study applies the developed dashboard on an empirical case study project to test its usefulness and shortcomings. Results show that the dashboard can convey several design management aspects and can help design managers better maneuver the development of their designs.

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