Smart City Gnosys
Smart city article details
| Title | Application Of Bem And Using Bim Database For Bem: A Review |
|---|---|
| ID_Doc | 9799 |
| Authors | Pezeshki Z.; Soleimani A.; Darabi A. |
| Year | 2019 |
| Published | Journal of Building Engineering, 23 |
| DOI | http://dx.doi.org/10.1016/j.jobe.2019.01.021 |
| Abstract | This paper reviews Building Energy Modeling (BEM) development using classification and review of articles for the recent years (2015–2018) to explore how much BEM methodologies have been used Building Information Modeling (BIM) database during this period. Nowadays, BEM and supervision are the most important challenges of smart cities, and BIM has a good and useful source of information for buildings. Recent innovations have provided the opportunity for construction industry to invest in state-of-the-art technologies and adopt new processes. Among these new methodologies is BIM, which has developed for the construction industry over the last two decades. Integrating graphical and non-graphical information, it enables construction industry stakeholders to work collaboratively for efficient project delivery throughout the life cycle of construction projects. The use of BEM in construction industry has come about to respond to the global call for energy conservation and sustainability. BEM tools and processes can be used to simulate energy performance, evaluate energy needs and optimize architectural design. This article reviews and classifies BEM applications into eight different categories such as prediction, estimation, consumption, optimal design, evaluation, efficiency, management, and optimization. In addition to examination of BEM in different categories and according to BIM that is a coordination model and includes all information in construction industry as well as electrical, mechanical, and architectural information, this review paper wants to know how many articles have used BIM such as a database in this industry. © 2019 Elsevier Ltd |
| Author Keywords | BEM; BIM; Building energy; New methods; Optimization |
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