依過去文獻多以工程模擬方式進行用電情形分析,並未以實證分析進行研究及驗證。本研究即嘗試以台灣地區91至93年3年間25縣市政府所填報能源資料為分析樣本,利用計量經濟學軟體,在產出項為單位樓地板面積總用電度數,投入項為單位樓地板面積人員總數及大氣平均氣溫設定下,來探討影響用電的因素分析。此外,並利用資料包絡分析法,在投入項為總用電度數、照明設備及空調設備,及產出項為建築物樓地板面積、辦公室人員總數、各縣市大氣平均氣溫設定下,探討那些政府機關具有真正效率。 由研究結果得知,單位樓地板面積總用電度數與單位樓地板面積人員總數及大氣平均氣溫呈線性迴歸方程式為kWh/m2 = -144.2 + 723.4 P/m2 + 7.2 T;在整體效率值達0.9~1.0之家數共14家,佔27.4%,而效率值小於0.5之家數共6家,佔11.8%;技術效率值達0.9~1.0之家數共35家,佔68.6%,而效率值小於0.5之家數共1家,佔2.0%;規模效率效率值達0.9~1.0之家數共29家,佔56.9%,而效率值小於0.5之家數共2家,佔3.9%。
Most of the exist power consumption analysis is used engineering simulation method, not much practical case analysis to be researched and proved for past years. In this research I try to research and analysis the effective factors of 25 local government building energy consumption by year 2002-2004. I study the effective factor power consumption by econometrics software. Beside, I use the Data Envelopment Analysis to research which is real energy efficiency – total power consumption、lighting number、air conditioners number as inputs, building area、office number、average outdoor air temperature as outputs. As a result from the research, density of power consumption per M2、density of people per M2 and average outdoor air temperature present Line Regression equation as kWh/m2 = -144.2 + 723.4 P/m2 + 7.2 T. The Aggregate Efficiency of 14 units are up to 0.9 ~ 1.0 around 27.4%, the Aggregate efficiency of 6 units are less than 0.5 around 11.8% which have to improve by energy audit. The Technical Efficiency of 35 units are up to 0.9 ~ 1.0 around 68.6%, the Technical Efficiency of 1 units are less than 0.5 around 2.0% which have to improve by energy audit. The Scale Efficiency of 29 units are up to 0.9~1.0 around 56.9%, the Sale Efficiency of 2 units are less than 0.5 around 3.9% which have to improve by energy audit.