Optimal green building design based on energy saving by genetic algorithms

• Main Authors: Hsuan-Ming Ku, 古軒銘
• Other Authors: 林明德
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/42842608885717908513

碩士 === 國立中興大學 === 環境工程學系所 === 100 === In order to comply with the trend of "sustainable development", “green building” has become an important design concept in the construction industry. Among the four indexes of the “Green Building Assessment System” in Taiwan, index of “daily energy conservation” must be considered for designing buildings. Furthermore, building shells and air conditioning systems are the most important factors for daily energy conservation design. In the past, various types of shell forms and architectural materials are usually chosen based merely on the architects’ experience instead of a systematic assessment method. Therefore, the capacities of air conditioning systems are often over-designed and resulting in unnecessary waste of energy. This study employs genetic algorithms to find the least cost of the building shells and air-conditioning systems which meet the requirements of daily energy conservation index. The results show that genetic algorithms can successfully optimize the shells and air-conditioning designs, and may be a useful tool for green building design and promotion.