依據非生產性質查核年報顯示,民國109年大專院校大用戶占國內整體非生產性質大用戶電力使用量約11.54%,若能有效估計大專院校之能源使用效率並促使用戶進行改善,可降低能源成本及提升大專院校用戶整體能源使用效率。本研究利用建築特徵因子、氣候因子、其他因子(例如學生人數)等變數,以複迴歸模型建立大專院校之能源效率指標評估模型;研究結果顯示,若用戶皆朝估計電能EUI值進行改善,總體節電空間約97.27百萬度。若依照用戶EUI實際值與EUI估計值差異大小給予不同節電目標,以109年為例,EUI實際值超過估計值20%的用戶約12所,若給予3%的節電目標,約可節約1.59百萬度,若實際EUI值超過合理EUI值10%至20%的12家用戶2%節電目標,則有0.46百萬度之節電量,實際EUI值超過合理EUI值0至10%的32家用戶則給予1%節電目標,有0.21百萬度的節電量,以上三種情境下,共可節約2.26百萬度。
According to the Energy Audit Annual Report for Non-Productive Industries 2021, universities were the major energy consumer among industries with contract capacity over 800 kW, consumed approximately 11.54% of the electricity use within the whole industry in 2020. To improve energy management for buildings owners, it is important to estimate the energy efficiency. This study applied multiple regression model to estimate the energy use intensity (EUI) of universities by considering factors of building characteristics, weather characteristics, and other characteristics (ex. students). Under the aggressive goal that all universities have achieved the energy saving target, there has potential to save 97.27 million kWh of electricity. According to the the difference between their estimated EUI and actual EUI, they adopted saving targets for universities. For example, universities with its' actual EUI exceeding the estimated value by 20% will be addressed with a 3% energy saving target, while universities with actual value 10% to 20% more than the estimated EUI value will be addressed with a 2% energy saving target, while universities with actual value 0 to 10% more than the estimated EUI value will be addressed with a 1% energy saving target. Under this condition, 2.26 million kWh could be saved.