旅館類建築外殼耗能ENVLOAD簡算法之研究

CNU IR > College of Sustainable Environment and Recreation > Dept. of Tourism Management > MOST Project > Item 310902800/2387

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Title:	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
Authors:	王仁俊
Contributors:	觀光事業管理系
Keywords:	旅館類建築建築節能法規 Hotel Building ENVLOAD Energy Conservation Code of Buildings
Date:	2005
Issue Date:	2008-07-31 14:37:43 (UTC+8)
Publisher:	台南縣：嘉南藥理科技大學觀光事業管理系
Abstract:	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 簡算法，但由於旅館類建築物空調時段及使用機能複雜，無法適用簡算法，造成建築業界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 較大之變數群，分別為建築立面開口率、開口方位、遮陽、玻璃日射遮蔽率等，並探討以此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)的效應，反之亦然，日後本簡化方式倘獲建築節能法規採用，對於節能設計較優的建築物將有實質的鼓勵效果。 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 designs.
Relation:	計畫編號：NSC94-2218-E-041-001
Appears in Collections:	[Dept. of Tourism Management] MOST Project

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