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Pattern of Electricity Consumption in Summer
with respect to Microclimate in Taipei city
Summer electricity consumption,cooling load,energy management,urban microclimate,cumulation effect,urban morphology,
|Publication Year :||2020|
透過基於Ordinary Least Square Estimation的簡單線性回歸，以溫度為變數，變電所電力資料為應變數之線性關係，產生斜率，截距以及相關係數。得出區域內，日間電力負載變化與氣溫變化均呈高度正相關。進一步分別以酷熱指數Heat Index與熱負荷Heat Stress概念轉化氣溫，修正回歸模型後，各變電站周邊之相關係數均以不同幅度提升，再與前者比較得出濕度效應與熱累積效應之影響。同時得出區域間電力消費中隨氣溫變化之占比，作為冷氣節能討論依據。
In the issue of climate change and urban development, in order to confirm living quality, the demand for electricity and air-conditioning in the city will be greatly increased, which will lead to energy management problems. Among them, power consumption of air-conditioning (AC) is highly correlated with weather changes. Once relationship between air-conditioning power consumption and weather changes in small-scale areas is analyzed, it will help improve energy efficiency and implement energy conservation as well as carbon reduction.
The urban area of Taipei contains different type of buildings community, and mountains and rivers. Even if the area is not wide, different microclimates including urban heat island are shaped. This study focuses on the relationship between electricity consumption (EC) and microclimate (weather) during the summer working day in the center of Taipei City, through the electric load data of 30 substations in the metropolitan area, the weather station of the Central Meteorological Bureau and Taipei Elementary school Meteorological Station, and the building morphology data.
Assuming the linear relationship between weather parameter as a variable and substation power data as dependent variable through simple linear regression based on Ordinary Least Square Estimation, slope, intercept and correlation coefficient are produced. It is concluded that the daytime power load changes and temperature changes are highly positively correlated. Further, the temperature was transformed with the concepts of the Heat Index (HI) and Heat Stress respectively. After the regression model was modified, the correlation coefficients of each pairing group were increased by different levels, and the effects of humidity and heat accumulation were obtained by comparing with the former. At the same time, the proportion of power consumption that varies with temperature in the inter-regional electricity consumption is obtained, which is used as the basis for the discussion of air-conditioning energy conservation.
Finally, it is concluded that 1. within the study area, the sensitivity of changes in electricity consumption to weather changes could vary place from place. 2. Considering humidity effect and cumulation effect could result a more linear relationship. 3. Above results are discussed on the basis of literature theory and the relationship between urban morphology that shape the microclimate differences of the cities, and the results shows significance with building height (BH). Positive relationship is found between BH and the slope while negative relationship is found between ACEC contribution. The different power consumption characteristics by weather parameter of the region could be then organized and be a base of an open platform for various stakeholders in energy management issues.
|Appears in Collections:||氣候變遷與永續發展國際學位學程(含碩士班、博士班)|
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