溫度上升對建築物能源效率的影響分析

The Efficiency Analysis of Temperature Rise in Building

陳明凱(Ming-Kai Chen)

指導教授 ： 李文興

國立臺北科技大學/機電學院/能源與冷凍空調工程系碩士班/碩士(2008年)

摘要

本研究主要目的在於探討台灣各地區的建築物能源使用效率以及氣候類型變化的差異，並希望透過外在環境因素的分析，獲得具有潛在節能參考的條件；世界氣候分類的分類方法有許多種，以柯本氣候分類方法最普遍，重點在於柯本氣候分類只需要以溫度與降雨量為分類依據，數據資料的取得也較為準確與容易且分類後的結果淺顯易懂，故本研究也採用柯本氣候分類法作為氣候類型的分類方式；將台灣本島各縣市細分其所屬的氣候類型後，再以迴歸分析的方式分析每個氣候類型溫度與耗能之間的關係，得知各氣候類型地區的用電上升比例，並以數值分析軟體進行模擬以及驗證，對於溫度與耗能間的關係，除了透過統計分析等方法來計算之外，使用數值模擬軟體來分析亦為可行的方法，藉由模擬軟體設定氣候條件、樓地板面積、建築結構…等等，模擬出當外氣溫度變化時，對於耗能之改變情形。
最後由各氣候類型的迴歸分析中即可得到各項分析結果，而濕潤溫暖氣候(Cfa)的用電上升比例為3.49%，如此即可明確的了解當本氣候區的溫度倘若上升1℃，此時耗電量則會增加3.49%，像濕潤溫暖氣候(Cfa)的比例就相較於溫潤夏熱氣候(Cwa)的6.40%及熱帶草原氣候(Aw)的6.20%小，因而未來可將本結果與各區設備效率以及節能效果作探討並判斷出各區的空調設備使用狀況或都市開發狀況以作更進一步的研究分析。

關鍵字

能源效率 ； 溫度與耗能 ； 柯本氣候分類 ； 氣候分區

並列摘要

The study examines the energy efficiency of different buildings and the changes in climate types in Taiwan. By analyzing factors and features related to the external environment, the study endeavors to identify the types of buildings compatible with energy saving and to propose relevant approaches for improving energy efficiency. Of all the available models of climate classification, the study adopts the Köppen-Geiger model that is based on temperature and rainfall (both of which are readily obtainable and reliably accurate) and known for its easy-to-understand results of classification. After classifying the major counties and cities in Taiwan in line with climate type, the study performs regression analysis to explore the relationship between climate type and energy consumption as indicated by the rise in consumed electricity. Results are further verified through the use of numerical analysis and simulation software. In addition to statistical analysis, numerical simulation software can also be adopted to analyze the relationship between temperature and energy consumption, using the simulation software to set up relevant parameters like climatic condition, floor area, and building structure so as to simulate the changes in energy consumption triggered by the rise in outdoor temperature.
Based on the results of regression analysis on each climate type, the rise in electricity consumption in Cfa (temperate with hot summer but no dry season) reads 3.49%, meaning that a rise of 1°C in Cfa regions is expected to trigger a 3.49% increase in electricity consumption. This increase in electricity consumption in lower than those in Cwa (temperate with hot summer and dry winter) and Aw (Tropical, Savanah) regions that read respectively 6.40% and 6.20%. Therefore, data about energy consumption and growth in electricity can be consulted to measure and analyze the use of air-conditioning equipment and the status of city development in counties and cities covered in the three climate types.

並列關鍵字

energy efficiency ； temperature and energy consumption ； K&ouml ； ppen climatic classification ； climatic classification

參考文獻

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