因應臺灣推動淨零排放的背景，既有建築通常透過設備更新來提升能效。本研究以一座使用逾14年、可容納330人之大學講堂為對象，將前期現場調查與實測資訊導入能耗模擬與CFD，從能源效率、熱舒適性以及換氣效益等層面進行分析與決策，對空間的後續營運提出空調設備改善策略及使用建議。
現場調查發現講堂實際使用期間通常僅有50 ~ 200人。而實測結果顯示，既有40RT冰水主機多數時間僅使用較低負載率（40%~50%）運轉，且有頻繁卸載停機與重新啟動的短循環現象，使系統能源效率不佳。此外，過去管理上慣用的空調溫度設定容易使室內普遍偏冷，空調箱換氣量設定也沒有依據實際人數進行調整。
能耗模擬結果證實在滿足所需換氣量之前提下，降低風機頻率具有顯著節能效果，本研究亦根據節能與實務彈性的原則制定出適用各人數範圍的風機設定建議參數。在冰水系統方面，將總容量下調至30RT，相較於選用COP更高的40RT冰水主機更能提升低負荷情境下的系統能效。接著運用TOPSIS方法比較12組冰水主機配置策略在各人數情境的耗電量，結果以「Sequential Load（20RT-10RT）」方案之綜合評分最高（0.992），在占90%時間的100~200人情境下耗電量最低。最後，透過CFD模擬發現座位區存在「前排偏暖、後排偏涼」的熱感受差異，後排容易有局部冷擊的情形。建議在室內常態少於200人時，應將空調設定為24℃，並引導使用者優先由前排入座以獲得較佳的熱舒適性。在換氣方面，CFD模擬出的二氧化碳濃度在座位區大致呈均勻分布，在室內坐滿330人的情境中穩態濃度約為1350 ~ 1450 ppm，其數值與QICO2或EnergyPlus模擬的室內平均值相近，可作為在基本換氣條件下室內二氧化碳濃度的預測值。本研究以講堂營運之現場資訊為基礎，提出具節能效益和經濟性的空調系統更新策略以及符合使用者熱舒適和基本換氣的空調使用管理方式，作為既有講堂後續營運的全面性解決方案。

This study investigates the energy efficiency improvement and operational management of an existing HVAC system in a large university lecture hall with a seating capacity of 330 people. The research aimed to identify inefficiencies in the aging air-conditioning system, evaluate indoor thermal comfort and ventilation performance, and propose optimized retrofit strategies for energy saving and occupant comfort.
Actual usage patterns, indoor environmental data, and HVAC operational data were collected through field experiments and integrated into energy and CFD simulations. In addition, the TOPSIS decision-making method was applied to compare different chiller configurations and control strategies. Simulation results indicated that reducing system capacity to 30RT and reducing fan frequency could significantly improve energy efficiency. Among the evaluated strategies, the Sequential Load (20RT–10RT) configuration achieved the best overall performance. The preferred indoor setpoint temperature and prediction of CO2 concentration were also discussed with CFD results. The study concludes that HVAC operation should be optimized according to actual occupancy patterns, and the operational management is suggested.

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