大型中央空調系統於進行商業運轉時，所有之冰水主機系統運轉參數，包含冰水主機供應溫度、回水溫度、冰水流量與主機耗電量等為決定主機系統運轉能源效率之主要因素。在經由BEMS進行即時線上之數據分析，作為積算主機性能及進行空調系統節能策略導入之主要參考依據。
然而，目前我國運轉中之大型中央空調系統，尚缺乏於本土濕熱型氣候條件下，經由主機負載率之變動而調變供應冰水溫度之運轉迴歸分析式；因此，無法對於主機群之運轉發揮良好之系統診斷功能，只能依據操作者之工程經驗而進行手動調整。此為目前許多大型中央空調系統進行TAB性能調適工程時，普遍遭遇之困難所在，亟待解決。若能進一步建立運用BEMS進行專家智慧診斷之相關技術，並廣為應用，可發揮極大之建築節能效益。
本研究將採取理論分析與全尺度實驗印證之方式進行，於建築研究所歷年BeeUp研究中，選取實際進行商業運轉中之大型中央空調系統，經由BEMS進行即時線上之數據分析，建立大型冰水主機之供應冰水溫度、回水溫度、冰水流量與主機耗電量等以作為積算冰水主機COP之主要迴歸分析式。同時，經由歸納各種不同空調主機之運轉模式，建立進行專家智慧診斷系統之主要運算引擎，依空調系統主機側建立不同之節能策略，包含:主機台數控制策略之擬定、主機群運轉先發策略之建立及運轉策略最佳化分析，並研究我國運轉中之大型中央空調系統，在本土濕熱型氣候條件下，經由主機負載率之變動而調變供應冰水溫度之運轉迴歸分析式；藉此，完成對於主機群之運轉發揮良好之系統診斷功能。
透過上述方式，針對展覽類建築物及南部某工廠進行全尺度實驗印證，已獲得之成效為展覽類由原先分量式儲冰系統到目前分量式設計全量運轉，建立10小時空調及24小時空調不同型態之空調系統耗能門檻值。南部某工廠改善前耗電量 8796kW，改善後為8470kW，改善比例值達3%。展覽類改善比例值為7%，改善前耗電量為3037kW，改善後耗電量為2799KW，並發展出大型中央空調儲冰式系統之智慧型運轉策略；打破傳統式融冰泵之運轉模式，且整體儲冰系統可於夜間儲能極大化之後，而獲得分量設計與全量運轉之最佳運轉策略。

When central HVAC systems are under commercial operation, all operational parameters, including chilled water supply temperature, return water temperature, chilled water flow rate, and power consumption as the key factors in affecting system energy efficiency.However, in Taiwan there is still lacking of the regression equations of chillers under local weather conditions, and has to rely on manual operation based on experiences. This is also the major short-comings in implementing TAB, and is the best way to renovate the green buildings to make them more intelligent.
In this study, theoretical analysis and experimental investigation will be applied simultaneously. In selecting cases from the BeeUp program, actual operational data including COP can be fitted into experimental model to facilitate TAB engineering via BEMS system, in achieving system efficiency.
Through the execution of this project, it is identified that the exhibition buildings with 10 hours cooling load, can achieve 7% energy savings. The good result obtained in this project , including the thermal energy storage HVAC system and the heat pump system can be widely adapted to obtain significant energy conservation effect.

目錄 ..I
圖目錄....III
表目錄.. VI
摘 要........VII
ABSTRACT... IX
第一章緒論............................ 1
1-1研究背景與目的.......................... 1
1-2文獻回顧.................... 3
1-3研究方法及流程............. 5
第二章BEMS專家智慧診斷系統及儲冷系統介紹.......... 7
2-1 BEMS系統介紹....................... 7
2-2 建築耗能專家系統省能策略之擬定.................11
2-3 儲冷系統介紹................................... 20
2-4儲冷系統分類............................................. 23
2-5儲冷系統特性分析....................................... 30
第三章 建築物空調系統智慧型運轉實驗分析............... 34
3-1科學工藝博物館建築物簡介......................... 34
3-2南部某工廠建築物簡介......................... 40
3-3改善方法擬定................................. 42
第四章空調系統導入改善後之成果及效益分析........ 60
4-1 展覽類建築智慧型策略導入結果分析....... 60
4-2南部某工廠運轉策略調整之驗證.. 74
第五章 結論........................................... 77
參考文獻............................... 79

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