全球暖化日趨顯著，對於都市環境系統造成的衝擊更加劇烈。都市密集地區空氣溫度上升，則將增加地區之用電量。台灣夏季約有40%的用電量是使用在空調用電，來降低都市熱環境產生的環境不適。都市熱環境主要受到氣候環境因素、都市熱環境、地區產生的熱源等因素所影響，乃促成都市微氣候溫度的增加。都市人造環境改變了微氣候溫度，而都市微氣候隨之也影響地區用電量。
本研究主要目的在於探討都市熱環境下微氣候溫度與地區用電量的關係差異。研究以台北市中心地區為範圍，經由小學氣象測站之全年度溫度資料，以及台電提供的台北市變電站耗電資料，計算該地區之粗用電密度，比較微氣候溫度與用電量之間的關係。
研究結果顯示，研究(一)各地區迴歸方程式之R2 皆在0.60至0.86，除了撫遠地區與萬華區都屬於靠近河畔，溫度與粗用電密度變異梢大(R2=0.68，0.613)，四平屬於市中心區段溫度與用電密度便一直最大(R²=0.60832)，其於皆大於0.7以上。顯見二者的關聯性相當密切。意即，台北市中心地區溫度每增加一度，則粗用電密度增加約0.01~0.03 kWh/m2。
研究(二)四個主題迴歸方程式之R2 皆在0.6513至0.8172，商業區兩種溫度與用電密度變異梢大(R2=0.6513，0.7285)，住宅區兩種在迴歸方程式中R2都達到0.74和0.8172上，從迴歸方程式中能看出商業區比住宅區與溫度關聯性低，尤其是在一樓用電區域。
With the trend of global warming being more and more significant, the impact on the urban environmental system has become even more severe. The rising of air temperature in the densely populated urban areas lead to increasing power consumption. In Taiwan, over 40% of power consumption is used for air conditioning in the summer to lower the high temperature in the urban environment. The hot environment in cities is mainly influenced by factors such as climate factors, urban thermal environment, and the heat sources generated by region. The man-made urban environment changes the micro-climate temperature, and it also affects the power consumption of the region. This study’s primary objective is to discuss the differences in the relationship between the micro-climate temperature in the hot urban environment and the power consumption of the region. The study focuses on the city center of Taipei City. Using the annual temperature data provided by elementary school meteorological stations and the Taipei power substation data provided by Taiwan Power Company (Taipower), a crude power consumption density is calculated for the region to compare to relationship between micro-climate temperature and amount of power consumption. The outcomes of the study are listed below:
The R2 of the Regression equation of each region are between 0.60 to 0.86, except for Wanhua District and Fuyuan region, which are located near the river. The temperature and crude power consumption density variation is slightly large (R2=0.68, 0.613). Siping belongs to the city center district and the temperature and power consumption density is always the highest (R²=0.60832), while other regions are above 0.7. Therefore, there is a very tight correlation between the two.The implication is that for every rise of 1 degree in temperature in the center of Taipei city, the crude power consumption density rises by approximately 0.01~0.03 kWh/m2/yr.
The regression equation R2 for the four themes are between 0.6513 to 0.8172. The temperature and power consumption density variation is larger in commercial districts (R2=0.6513, 0.7285), while the R2 of the five times regression equation reaches beyond 0.74 and 0.8172 in residential areas. From the regression equation, one can see that the correlation between temperature and power consumption density is lower for commercial districts than residential areas, especially for power consumption on the first floor.
