透過您的圖書館登入
IP:18.188.66.142
  • 學位論文

台灣高壓用電趨勢視覺化分析

Visualize the High Voltage Electricity Use Trend in Taiwan

指導教授 : 廖惠珠

摘要


台灣98%的能源皆由國外進口,發電成本相對其他國家偏高,若採用規模經濟的發電方式能有效降低成本。由於電力具有不可儲存性,發電廠必須維持一定水準的電力供需均衡,因此,研究台灣各地區的電力使用並以視覺化方式表達有助於發電廠評估產能及衡量適當的電價。 人口多寡、季節溫度、科技發展、工作日及環保政策等因素皆會影響電力需求,準確的衡量這些因素能有效地幫助相關產業決定電力產能及輸送,達到電力供需均衡。 本論文將2015年4月到2019年4月間,高壓電力及特高壓電力用戶數、契約容量及當月售電度數等數據藉由Tableau軟體進行視覺化,將各區域的用電指標以熱度圖的方式表達,並分析冬季(1月)和夏季(7月)各地區的用電數據。影響高壓和特高壓電力的用電量主要與科技發展、氣溫、工作日相關,高壓電力及特高壓電力的用戶主要集中於台灣各地區的工業區及科技園區,當氣溫較高時,用戶傾向於使用更多電力以冷卻設備廠房中的機器;在每年春節時工廠會進行休息,也間接導致用電量較少;隨著科技逐漸發展,工業區與科技園區的用電量也逐漸增加。藉由觀察歷史用電資料,可以預測未來每月份各區的高壓電力及特高壓電力的用電需求,幫助發電廠估計電力產能,也能提供相關數據以利未來規劃與節約能源相關的政策。

並列摘要


Around 98% Taiwan's energy resources are imported overseas. The cost of electricity generation is relatively higher than in most of the countries in the world. Due to the non-storability of electricity, electricity plants must maintain the equilibrium between supply and demand. Researching the electric usage in Taiwan and visualizing this information improve evaluating production capacity and measuring appropriate electricity prices. This paper visualizes the data of high-voltage and ultra-high voltage number of users, contract capacity, and electricity consumption between April 2015 to April 2019 through Tableau’s heat maps. Moreover, this paper analyzes the electricity consumption in winter (January) and summer (July). Factors that influence the electricity consumption of high-voltage and ultra-high voltage in Taiwan are mainly related to technological development, temperature, and working days. When the temperature is higher, users tend to consume more electricity to cool down the machines. During the Lunar New Year, the factories will interrupt the production process and indirectly lead to less electricity consumption. With the gradual development of technology, the electricity consumption of industrial areas and science-technology parks also increases. By observing the historical data of electricity consumption, it is possible to predict the electricity demand for high-voltage power and ultra-high voltage in each district in the future. Electricity plants can easily estimate electricity production yield and provide relevant data to facilitate future planning about energy-saving policies.

參考文獻


中文文獻
李政德、張俊銘、劉建邦、陳尚澤(2008)。社會網路之建置、分析與視覺化: 以台灣學術社群網路為例。《圖書與資訊學刊》67(Nov,08),72-87。
徐俊生、陳香君、蕭燦生、張仁治、張有燈(2020)。智慧大數據分析工具於醫院藥費管理互動式視覺化之應用。《臺灣臨床藥學雜誌》28(2),94-109。
黃韻勳(2018)。我國住宅部門電力消費關鍵影響因素分析。《臺灣能源期刊》5(4),351-365。
楊得聖(2018)。網路資料視覺化研究。1-79。

延伸閱讀