半導體廠空調系統節能效益分析-以十二吋DRAM廠為例

Abstract

二十世紀發生兩次石油危機，由於能源逐漸短缺，石油費用相對節節升高，面對國內幾十年來經濟持續的成長，國民所得增加，電器使用普及造成用電成長急速增加，尤以夏季冷氣用電造成電力系統尖峰負載，平均每年尖峰負載成長高達1,000MW 以上。此外，由於新能源開發不易與環保抗爭不斷，使得台電無法應付尖峰負載之需求，導致電力供需無法平衡，每年夏季時有限電發生，影響工業發展與民眾生活，此並非一個高度工業化國家應有的合理現象。 本研究運用統計方法，由空調主機收集各項數據，組成一個以耗電量及時間序列的多項式；經由複回歸分析、複判定係數、主成份分析、變異數分析、及共變數分析等方法，篩選出對耗電量影響較大的因子，推導出耗電量及各影響因子的多項式方程式。接著，由該方程式逐步依各因子影響力大小，配合空調主機可調整的項目，做實機數據驗證，做為空調系統節能的依據。

The 20th century have two times oil crises ,due to gradual shortage of the energy ,the oil price relative elevates successively ,face domestic for decades fears to economic continued of growth ,the national income increased and electrical using universal caused electricity growth rapid increase ,especially to summer air-conditioning electricity caused power system peak load ,average annual peak load growth up to 1,000MW above and new energy development is not easy to and environmental protest constantly ,makes power insufficient to meet tip peak load of demand ,lead power supply and demand cannot balance ,brownouts occur when each summer affecting industry development and people’s lives ,this is not a highly industrialized state . This study used statistical methods various data collected by air-conditioning main frame ,compose the time series and power consumption polynomials and use methods by multiple regression analysis(MRA) ,coefficient of multiple determination (CMD) ,principal component analysis (PCA) ,analysis of variance (ANOVA) ,analysis of covariance (ANCOVA) etc. screen out significant impact on power consumption factor .derived electricity consumption and the impact factor of the polynomial program .then gradually according to various factors influence the size from the party program ,combined with adjustable air-conditioning host projects ,solid data verification ,as a basis for energy saving in air-conditioning system .