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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/2387

    標題: 旅館類建築外殼耗能ENVLOAD簡算法之研究
    Research on the Simplification of ENVLOAD Estimation for Hotel Buildings
    作者: 王仁俊
    貢獻者: 觀光事業管理系
    關鍵字: 旅館類建築
    Hotel Building
    Energy Conservation Code of Buildings
    日期: 2005
    上傳時間: 2008-07-31 14:37:43 (UTC+8)
    出版者: 台南縣:嘉南藥理科技大學觀光事業管理系
    摘要: 台灣建築節能法規採用ENVLOAD 作為中央空調類型建築物(辦公、醫院、百貨、旅館)
    之節能評估指標工具已逾十年,ENVLOAD 雖具備強大的建築外殼空調耗能預測能力,然其
    複雜且繁瑣的計算經常招惹非議,其中辦公、醫院、百貨三類已於2005 年起,推行ENVLOAD
    及建管單位對於節能計算與審查的困擾,本研究即在兼顧精確預估ENVLOAD 之前提下,簡
    化旅館類之ENVLOAD 計算方式,希望可以大幅降低建築師計算及公部門審查的作業量。本
    研究首先解析影響旅館類建築物ENVLOAD 之各項變數,並以複迴歸分析選取影響ENVLOAD
    此4 變數作為預測旅館ENVLOAD 之工具,最後得出簡化ENVLOAD 之計算方式,以該方式計
    算所得之ENVLOAD 值,相對於實際ENVLOAD 預之平均誤差率僅為8.56%,各空調分區之預
    測值與實際值之相關係數均達0.956 以上,應為可信賴之簡化計算方式。再者,本簡化方
    式對於建築立面設計抵擋日射能力較佳者,在計算ENVLOAD 值將產生低估(即優待)的效
    This paper intends to simply the Hotel ENVLOAD calculation to reduce paper works for
    architects and the governmental verification institutions. The paper uses multi-regression analyze
    through every possible variations that have great influence on ENVLOAD to sieve out variations
    which are wall-to-window ratio, direction of the openings, sun-blocking plates and the shading
    coefficient of glass. The above 4 major variations are employed to predict ENVLOAD in a
    simplified way. The simplified prediction models are in four formations, the average prediction
    errors are 8.56%. Furthermore, the simplified model underestimates the ENVLOAD values of the
    hotel buildings which have better solar radiation blocking design in facades; while on the
    contrary it is overestimated. If this simplified method is adopted by the Building Envelope
    Energy Conservation Regulations, it is courageous to those have better energy conservation
    關聯: 計畫編號:NSC94-2218-E-041-001
    Appears in Collections:[觀光事業管理系(含溫泉所)] 科技部計畫

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