請用此 Handle URI 來引用此文件: http://hdl.handle.net/11455/5828
標題: 利用遺傳演算法優化綠建築日常節能設計之研究
Optimal green building design based on energy saving by genetic algorithms
作者: 古軒銘
Ku, Hsuan-Ming
關鍵字: 綠建築
Green building
耗能
建築外殼
空調
遺傳演算法
energy conservation
building shell
air conditioner
genetic algorithms
出版社: 環境工程學系所
引用: 內政部建研所,綠建築解說與評估手冊,內政部建研所,2003。 內政部建研所,綠建築解說與評估手冊,內政部建研所,2009。 環境教育課程編輯小組,環保與生活,普林斯頓國際有限公司,2008 內政部營建署,建築物節約能源設計技術規範與實例(辦公廳類建築專用),內政部營建署,1998。 台灣建築報導雜誌社,永續綠建築Green &Sustainable,台灣建築報導雜誌社,2002。 財團法人台灣營建研究院,營建物價,財團法人台灣營建研究院,2010。 內政部建研所,建築節約能源優良設計作品專輯,內政部建研所,1996。 楊冠雄,梁正穎,陳林宏,綠空調實踐與應用,內政部建築研究所,1998。 吳典義,空調冷凍工程之設計與施工:設計篇,徐氏基金會,1999。 蕭明哲,空調設備,全華圖書,2006。 林憲德,建築空調系統節能設計(空調系統耗能係數PACS),詹氏書局。 林憲德,人居熱環境 = Thermal environment of human habitat,詹氏書局,2009。 林憲德,建築風土與節能設計,詹氏書局,1997。 陳炳宏,從綠建築之綠化量指標改善溫室效應之分析:以國立交通大學新行政大樓為例,碩士論文,國立交通大學研究所工學院產業安全與防災學程,2003。 梁正穎,建築耗能系統節能改善策略分析與應用,碩士論文,國立中山大學機械與機電工程研究所,2008。 呂旻倫,利用遺傳演算法優化綠建築外殼節能設計之研究,碩士論文,國立中興大學環境工程研究所,2011。 張桂鳳,江哲銘,周伯丞,郭怡君,國外永續建築評估系統 GBTOOL 與CASBEE 的比較,中華民國建築學會第十六屆建築研究成果發表會論文集,2004。 張峻銓,冰水主機與冷卻水塔群組最佳化運轉策略研究,碩士論文,國立臺灣大學工學院機械工程學系,2007。 徐凤平,严良文,李文,倪军,中央空调水系统变频节能改造分析与实践,PROCESS AUTOMATION INSTRUMENTATION Vol. 32 No. 9,2011。 陈晨,潘毅群,黄治钟,吴刚,上海市某商用建筑能耗分析与节能评估,暖通空調 HV&AC 第36卷第4期,2006。 潘毅群,黄治钟,吴刚,建筑能耗模拟的校验方法及其应用,第37卷第7期,2007。 焦雷,韩宁,台湾地区建筑物空调系统冷水机组节能控制研究,北京林业大学工学院,2009。 陳弘裕,張淑君,涂金榮, 建築省能對策,中正高工學報四月第3期,PP.115~126,2003年。 經濟部能源局,能源產業技術白皮書,經濟部能源局,2010。 Agrawal, B. and G. N. Tiwari (2010). "Life cycle cost assessment of building integrated photovoltaic thermal (BIPVT) systems." Energy and Buildings 42(9): 1472-1481 Castro-Lacouture, D., J. A. Sefair, et al. (2009). "Optimization model for the selection of materials using a LEED-based green building rating system in Colombia." Building and Environment 44(6): 1162-1170. Gonzalez, M. J. and J. Garcia Navarro (2006). "Assessment of the decrease of CO2 emissions in the construction field through the selection of materials: Practical case study of three houses of low environmental impact." Building and Environment 41(7): 902-909. Lee, W. L., H. Chen, et al. (2012). "Decoupling dehumidification and cooling for energy saving and desirable space air conditions in hot and humid Hong Kong." Energy Conversion and Management 53(1): 230-239. Lee, W.-S., Y. T. Chen, et al. (2009). "Optimization for ice-storage air-conditioning system using particle swarm algorithm." Applied Energy 86(9): 1589-1595. Marszal, A. J., P. Heiselberg, et al. (2011). "Zero Energy Building – A review of definitions and calculation methodologies." Energy and Buildings 43(4): 971-979. Ooka, R. and K. Komamura (2009). "Optimal design method for building energy systems using genetic algorithms." Building and Environment 44(7): 1538-1544. Pan, Y., R. Yin, et al. (2008). "Energy modeling of two office buildings with data center for green building design." Energy and Buildings 40(7): 1145-1152. Sailor, D. J. (2008). "A green roof model for building energy simulation programs." Energy and Buildings 40(8): 1466-1478. van der Lugt, P., A. A. J. F. van den Dobbelsteen, et al. (2006). "An environmental, economic and practical assessment of bamboo as a building material for supporting structures." Construction and Building Materials 20(9): 648-656. Wang, W., R. Zmeureanu, et al. (2005). "Applying multi-objective genetic algorithms in green building design optimization." Building and Environment 40(11): 1512-1525. Yang, K.-H. and R.-L. Hwang (2007). "An improved assessment model of variable frequency-driven direct expansion air-conditioning system in commercial buildings for Taiwan green building rating system." Building and Environment 42(10): 3582-3588. Zhai, X. Q., R. Z. Wang, et al. (2008). "Design and performance of a solar-powered air-conditioning system in a green building." Applied Energy 85(5): 297-311. Zhou, Y. P., J. Y. Wu, et al. (2007). "Energy simulation in the variable refrigerant flow air-conditioning system under cooling conditions." Energy and Buildings 39(2): 212-220. Znouda, E., N. Ghrab-Morcos, et al. (2007). "Optimization of Mediterranean building design using genetic algorithms." Energy and Buildings 39(2): 148-153.  
摘要: 為了順應「永續發展」的世界趨勢,綠色設計已在建築產業上成為了一個重要的設計理念。在台灣的綠建築評估系統中,四大指標中日常節能指標為必需考量之指標之一,而日常節能設計又以建築外殼和空調系統為最主要因素。過去,建築師通常以經驗設計建築外殼形式和建材種類,缺乏具有系統性之評估方法,且在空調系統方面為了滿足室內人員舒適度經常過量設計空調容量,往往造成不必要的能源浪費。因此,本研究將藉由遺傳演算法的優選能力,求解符合外殼節能指標和最小空調耗能之建築設計成本,以利於綠建築的推動。研究結果顯示,遺傳演算法可以成功地求解最佳的建築外殼及空調系統之設計。
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.
URI: http://hdl.handle.net/11455/5828
其他識別: U0005-1508201215071700
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-1508201215071700
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