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研究生: 林貫文
Lin, Kang-wen
論文名稱: 應用遺傳演算法於智慧型空間熱舒適度系統之研究
The Application of Genetic Algorithms in Smart Thermal Comfort Modeling System
指導教授: 蕭世文
Hsiao, Shih-Wen
學位類別: 碩士
Master
系所名稱: 規劃與設計學院 - 工業設計學系
Department of Industrial Design
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 114
中文關鍵詞: 焓值理論熱舒適度遺傳演算法專家系統
外文關鍵詞: genetic algorithm, thermal comfort, enthalpy theory, expert system
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  • 現代人有絕大多數的時間處於室內的空間環境,不舒適的空間對人精神及健康上均有不健康的影響。由古至今人都試著在提升室內環境的舒適度,空調的發明在於使人類在空間中極有效率的得到舒適感;鑑古知今,未來人類生活上的行為模式與周遭的環境將朝向智慧化的發展,此外,能源短缺的警訊是從現在便一再提出的,想必未來能源的開發也必定是一大課題。本研究以設計的角度來看人類的發展,設計是規劃人未來的生活模式的理念作為出發點,進行智慧化舒適空間的研究。
    本研究採Fanger根據人體熱舒適理論所推導的模型作為基礎,以及空氣中溫度、濕度變化過程中產生的焓值能量理論,藉由遺傳演算法作為球出最佳化的工具,設計一專家系統,並利用國內的氣候及調查數據實驗,製作為一適合國人使用之智慧型舒適度專家系統。祈能有利於提升空間對人體的舒適度。

    Modern people stay in an indoor space almost whole day long. An uncomfortable space does many bad effects to people in psychology and physiology. Increasing the thermal comfort of indoor environment had been tried from ancient to modern time.
    Till the invention of air condition enhances the thermal comfort of human beings who behavior in an indoor room efficiently. In the future, the interactions with environment and the living patterns of human will forward to intelligence developing, and reaching thermal comfort is a goal of intelligent living space. Besides, the warning of lacking energy has been addressed seriously in this century, and the issue of energy exploitation for the future is also a huge goal to people’s life.
    This study is originated from the respect of design. Design is planning the living mode of future, and do research to make living space more intelligent by promotion thermal satisfaction of people.
    The study is based on the human thermal comfort model offered by Fanger and the enthalpy energy theory. To reach the goals of thermal comfort and saving energy in the meantime, the genetic algorithm was as the applied optimization tool to find the optimal solution and establish an expert system to propose the advice. The experiment of this research adapts the data of the climate and investigation in Taiwan. Wish the expert system of thermal comfort will advance the satisfaction of living space to countrymen.

    第一章 緒論 1 1-1 研究背景與動機 1 1-2 研究目的 2 1-3 論文內容說明 3 1-4 研究架構及流程 5 1-4.1 研究架構 5 1-4.2 研究流程 6 第二章 文獻探討 7 2-1 智慧型居住空間 7 2-2 人工智慧(Artificial Intelligence) 7 2-3 專家系統 8 2-3.1 專家系統的本質 8 2-3.2 專家系統的發展 10 2-4 遺傳演算法 11 2-4.1 遺傳演算法簡介及應用 11 2-4.2遺傳演算法的基本架構 12 2-4.3 專有名詞及演算步驟 14 2-4.4 遺傳演算法的主要特性 18 2-5 熱舒適度 19 第三章 研究方法與步驟 22 3-1熱舒適度模型 22 3-1.1人體與外界環境之熱平衡模型 22 3-1.2影響人體熱平衡之因素 23 3-1.3 人體熱舒適度模型之建立 34 3.1.4 人體熱舒適模型 34 3-2熱舒適度指標(Thermal comfort index)的建立 36 3-2.1 人體熱舒適度指標(PMV) 36 3-3 空調節省能源之探討 42 3-3.1熱舒適度與節能 42 3-3.2空氣焓值之計算 43 3-4 遺傳演算程序 44 3-4.1 演算流程 44 3-4.2 案例說明 48 第四章 問卷調查及實驗 50 4-1問卷與實驗設計 50 4-1.1問卷設計 50 4-2 實驗設計 51 4-2.1儀器設備及實驗場所 51 4-2.2實驗量測方式: 62 4-3 使用範例 63 第五章 結果與驗證 67 5-1 實驗結果 67 5-1.1實驗環境與人數統計 67 5-2 熱舒適指標統計 68 5-3 實驗驗證 70 5-3.1 以Fanger PMV滿意度準則驗證 70 5-3.2以ISO7330準則驗證 72 5-4 實驗結果探討 74 第六章 結論 79 6-1結論與建議 79 6-2 未來發展 79 參考文獻 81 附錄A 85 附錄B 90 附錄C 92 附錄D 110 附錄E 114

    [1] Pan, C. S., Chiang, H. C., Yen, M.C. and Wang, C. C., “Thermal comfort and energy saving of a personalized PFCU air-conditioning system”, Energy and Buildings Volume: 37, Issue: 5, May, 2005, pp. 443-449
    [2] A. H. Michael, J.Fergus Nicol, “Understanding the Adaptive Approach to Thermal Comfort.”, ASHRAE Transactions, Vol.15, no.26, pp.190-201, 2005.
    [3] Wong, N. H., Khoo, S. S., “Thermal comfort in classrooms in the tropics”, Energy and Buildings ,Volume: 35, Issue: 4, May, 2003, pp. 337-351
    [4] 李碩重,”冷凍空調與節約能源措施”,冷凍空調技術雜誌p.82~85,1998。
    [5] Winston, P. H. “Artificial Intelligence”, Addison-Wesley Publishing Company, New York, May, 1993.
    [6] 黃裕煒、陳慶星,”以模糊控制達成空調舒適性之研究”,中國冷凍空調雜誌,p.120~130,2002。
    [7] Mayer, E. “Objective Criteria for Thermal Comfort”, Building and Environment, Vol.28, no.4, pp.399-403, 2001.
    [8] Leondes, C. T. “Optimization Techniques” Academic Press, San Diego, 1998.
    [9] 葉怡成、郭耀煌,”專家系統方法應用與實作”,全欣資訊圖書公司,1991。
    [10] Wang,W., Zmeureanu, R. and Rivard, H. “Applying multi-objective genetic algorithms in green building design optimization”, Building and Environment, Vol.40 , no.163, pp.1512-1525, 2005.
    [11] Wright, J. A., Loosemore, H. A. and Farmani, R. “Optimization of building thermal design and control by multi-criterion genetic algorithm”, Energy and Buildings, Vol. 34, no.6, pp. 959-972, 2002
    [12] 蔡淑娟、蕭世文,”類神經遺傳演算法應用於產品配色系統之建立研究”,成功大學工業設計研究所論文,2003。
    [13] 陳惠娟、馮重偉,”結合QFD及模糊基因演算法於工程設計上的應用”,成功大學土木工程研究所論文,2004。
    [14] Holland , J., “Adaptation in Natural and Artificial System”, University of Michigan Press, Ann Arbor, 1975.
    [15] Goldberg, D. E. “Genetic Algorithms in Search, Optimization, and Machine Learning.” Addison-Wesley Reading, New York, 1989.
    [16] Man, K.F., Tang, K.S. and Kwong, S. “Genetic Algorithms –Concepts and Design”, Springer, London, March 2000.
    [17] Davis, L. “Handbook of Genetic Algorithm”, Van Nostrand Reinhold, New York, 1991.
    [18] Falkenauer, E. “Genetic Algorithms and Grouping problems”, John Wiley & Sons Ltd, England, 1990.
    [19] 蘇春木、張孝德,”機器學習:類神經網路、模糊系統以及基因演算法則”,全華科技圖書股份有限公司,台北,1997。
    [20] ASHRAE, “ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy”, America Society of Heating, Refrigerating and Air-conditioning Engineers, 1992.
    [21] Fanger, P. O. “Thermal comfort”, McGraw-Hill, Atlanta, 1972.
    [22] ISO, “Indices for thermal comfort.”, ISO Standard 7730, International Standards Organization, New York, 1984.
    [23] Humphrey, M. A., Nicol, J. F., “The Validation of ISO-PMV for comfort votes in everyday thermal environments”, Energy and Building, Vol.9, no.34, pp.667-684, 2002.
    [24] Kang, J., Park, S. “Integrated comfort sensing system on indoor climate”, Energy and Buildings, Vol. 82, no.67, pp. 302-307, 2000
    [25] HANNA, R. “The Relationship between Thermal Comfort and User Satisfaction in Hot Dry Climates”, Renewable Energy, Vol. 10, pp. 559-568, 1997.
    [26] Dubois, D. and Dubios, E. F. “A Formula to approximate surface area, if height and weight are known.” Archives of International Medicine, Vol.17, no.33, pp.863-871, 1996.
    [27] Wong, N. H. and Khoo, S. S. “Thermal comfort in classrooms in the tropic” , Energy and Buildings, Vol.14, no.35, pp.337-351, 2003.
    [28] Gorfain, J. and Brunner, G. “The office of future”, ASHRAE Journal, Vol.41 no.11, pp.30-35, 2005.
    [29] 徐筱琪,”國人空調舒適度調查研究”,冷凍與空調,p.168~172,2001。
    [30] 楊宗文,“適應性類神經模糊理論系統在舒適度模型上的應用”,台灣大學電機工程學研究所碩士論文,2001。
    [31] Brebner, D. F and Kerslake, D. M. “The diffusion of water vapor through human skin”, J. Physiol, Vol.132, pp.225-231, 1978.
    [32] Chen, K., Jiao, Y. and Lee, E., “Fuzzy adaptive networks in thermal comfort”, Applied Mathematics Letters Volume: 19, Issue: 5, May, 2006, pp. 420-426
    [33] 洪增淵,”演講聽之室內環境品質調查與分析”,朝陽科技大學環境工程與管理系論文,2004。
    [34] 莊振賢,”國人舒適感受調查”,台北科技大學冷凍與低溫科技研究所碩士論文,2000。
    [35] 陳良銅,”淺談環境控制”,冷凍與空調,p.92~96,2002。
    [36] 黃裕煒、黃浩榮,”空調系統應用模糊控制達成舒適性與節能之研究”,中國冷凍空調雜誌p.132~134,1998。
    [37] Prek, M., “Thermo-dynamical analysis of human thermal comfort”, Energy, Volume: 31, Issue: 5, April, 2006, pp. 732-743
    [38] 陳呈芳,”熱力學概論”,全華科技圖書股份有限公司,台北,1985。
    [39] 陳駿智,”空間內空氣調節與熱舒適度之研究”,中原大學機械工程研究所論文,1997。
    [40] Arens, E., Zhang, H. and Huizenga, C., “Partial- and whole-body thermal sensation and comfort—Part II: Non-uniform environmental conditions”, Journal of Thermal Biology, Volume: 31, Issue: 1-2, January, 2006, pp. 60-66
    [41] 林逸群,”應用專家系統於中央空調系統之故障聽診”,國立台北科技大學機電整合研究所論文,2001。

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