The Built-up of a Data Base and a Qualitative Analysis of RTS Heat Load Computation for Typical Building Envelopes in Taiwan

碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 99 === Air-conditioning is often the largest item of power consumption for buildings, accounts for about 30%-50%. Therefore lowering cooling load is an important energy saving measure. Radiant Time Series Method is a simple method for calculating heat loads fr...

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Bibliographic Details
Main Authors: Yu-Cheng Liu, 劉錥錚
Other Authors: Yew-Khoy Chuah
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/tmqxu5
Description
Summary:碩士 === 國立臺北科技大學 === 能源與冷凍空調工程系碩士班 === 99 === Air-conditioning is often the largest item of power consumption for buildings, accounts for about 30%-50%. Therefore lowering cooling load is an important energy saving measure. Radiant Time Series Method is a simple method for calculating heat loads from building envelope and also the internal sources. Periodic weighting factors are used for hourly heat gain and heat load calculation with sufficient accuracy. This research first studied the typical exterior wall and roof structures of Taiwan. Then the periodic response factors (PRF) and the radiant time series factors (RTSF) were computed based on the thermal properties of these building materials. A computer program RTS-2 was written with a built-in data base of PRF and RTSF consisting of 29 types of wall structures, TW01-TW29, and 20 types of roof structures, TR01-TR20. Then a heat load analysis was carried using the RTS-2 developed in this research. A typical building model was used as the base case so to study the impacts of weather data, exterior wall structures, roof structures, locality, tilt angle of wall, length of window shading, and also other green building methods. The results show that the monthly average peak load occurs in September. TW29 wall would result in the lowest summer peak load. However, TR15 would be the roof type with the highest heat load. Also wall tilt angle of more than 90 degrees is preferred. The effective length of window is larger than 1.00m. There is a linear relationship between radiative absorptivity of the wall and the heat load. The best combination of wall and roof when compared with the typical building model, the summer peak load of the can be reduced by 28.45%.