Title :
Least cost design of green buildings by genetic algorithms
Author :
Tsai, K.T. ; Lyu, M.L. ; Lin, M.D.
Author_Institution :
Program of Landscape & Recreation, Nat. Chung Hsing Univ., Taichung, Taiwan
Abstract :
In order to keep pace with the trend of "sustainable development", "green building" has become an important design concept in the construction industry. However, the envelope forms and materials of a green building are usually chosen based merely on the architects\´ experiences instead of on a systematic assessment method. This study employs genetic algorithms to find the least-cost designs for building shells which meet the requirements of a daily energy conservation index. The results show that genetic algorithms can successfully optimize the shell designs, and may be a useful tool for green building designs.
Keywords :
buildings (structures); construction industry; design engineering; energy conservation; genetic algorithms; shells (structures); sustainable development; building shells; construction industry; daily energy conservation index; genetic algorithms; green building least cost design; sustainable development; Bismuth; Buildings; Genetic algorithms; Glass; Green buildings; Optimization; Green building; genetic algorithms; optimization;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
DOI :
10.1109/IEEM.2014.7058872