A Hierarchy of Architectural Design Elements for Energy Saving of Tower Buildings in Korea Using Green BIM Simulation
Author(s): |
Kweonhyoung Lee
Seungyeon Choo |
---|---|
Medium: | journal article |
Language(s): | English |
Published in: | Advances in Civil Engineering, 2018, v. 2018 |
Page(s): | 1-13 |
DOI: | 10.1155/2018/7139196 |
Abstract: |
There is a great interest in building information modeling (BIM) and energy saving worldwide. In reality, however, insufficient studies have been conducted on the development of design methods to perform energy performance analysis. Thus, there is a problem that it is difficult to objectively obtain reliability in energy performance assessment of architectural designs such as scale and size of buildings. In addition, the energy performance analysis is considered as a different field from eco-friendly design methods, and there is another problem that low-carbon design methods more dependent on thermal insulation performance and heating ventilation and air-conditioning (HVAC) system than on original design methods are mainly developed. In order to solve this problem, this study aims to develop design methods capable of considering energy performance from the early design stage. Designers are required to intuitively understand the results through energy performance analysis using BIM tools and to reflect them in design. To this end, this study analyzed the correlation with energy performance using only basic architectural design elements with mass buildings. This has the advantage of establishing more free mass design mass design considering energy performance even if design and main structure are yet to be determined. |
Copyright: | © 2018 Kweonhyoung Lee et al. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
3.5 MB
- About this
data sheet - Reference-ID
10176673 - Published on:
30/11/2018 - Last updated on:
02/06/2021