| Title |
Development of an Economic Material Selection Model for G-SEED Certification |
| Authors |
전병주(Jeon, Byung-Ju) ; 김병수(Kim, Byung-Soo) |
| DOI |
https://doi.org/10.12652/Ksce.2020.40.6.0613 |
| Keywords |
온실가스;녹색건축인증;자재선정;경제성;유전자알고리즘 Greenhouse gas;G-SEED certification;Material selection;Economy;Genetic algorithm |
| Abstract |
The South Korean government plans for a 37 % reduction in CO2 emissions against business as usual by 2030. Subsequently, the Ministry of Land, Infrastructure and Transport declared a 26.9 % reduction target in greenhouse gas emissions from buildings by 2020 and established the Green Standard for Energy and Environmental Design (G-SEED) to help improve the environmental performance of buildings. Construction companies often work with consulting firms to prepare for G-SEED certification. In the process, owing to inefficient data sharing and work connections, it is difficult to achieve economic efficiency and obtain certification. The objective of this study was to develop an economic model to assist contractors in achieving the required G-SEED scores for materials and resources. To do this, we automated the process for material comparison and selection on the basis of an analysis of actual consulting data, and developed a model that selects material alternatives that can meet the required scores at a minimum cost. Information on materials is input by applying a genetic algorithm to the optimization of alternatives. When the model was applied to actual data, the construction cost could be lowered by 79.3 % compared with existing methods. The economical material selection model is expected to not only reduce construction costs for owners desiring G-SEED certification but also shorten the project design time. |