在中、大型空調系統中,空調主機常採配置複數機組方式,作為改善運轉效率及耗能的配置方案,空調主機在部分負載率(Part Load Ratio, PLR)條件下,其PLR性能(η)將與滿載時的空調主機性能係數(Coefficient Of Performance,COP) 值有所不同。本研究將空調主機之部分負載時,依其各百分比COP值的不同來加以分區,其目的主要是作為多台空調主機,在因應建物的空調負載變化時,各台主機均能在高效率區運作。本研究選用台北市一棟公有辦公類型建物為模擬案例,利用eQUEST電腦模擬軟體,加以分析其全年空調負荷之月均值,透過不同空調主機容量及台數配置模型,並在主機啟停策略則採用運轉百分比控制及平均運轉百分比控制兩種方式,分析案例在全年各月空調平均負載及各主機運轉百分下空調主機COP月均值、COP年均值及分區位置,同時分析各模型主機之全年耗能情形,以作為類似建物於日後選用主機容量及台數的參考。 研究發現在各月COP均值分區上,最佳配置其COP月均值位於最高效率(A區)有8個月、B區有3個月及C區為1個月,最佳COP年均值為5.66落於A區,主機全年耗能為504,136.1kWh;而表現最差的配置方案之COP月均值無任何落點於最高效率(A區),B區為10個月,C區為2個月,年COP均值落在B區。故在COP 年均值及全年主機耗能值(Pave)表現上,兩者差異值分別為22.7%及20.7%。故此研究成果可作為類似建物於既有空調系統更新或新建案規劃設計空調系統時的參考依據。
For larger air-conditioning systems, combinations chiller units are often used to improve the operating efficiency. As the COP of a water chiller at part load is significantly different from that at full load, effects of partial load control on the energy performance are investigated by COP zoning at part load. This research uses a typical building case in Taipei. The computer program eQUEST is used to obtain the monthly average air-conditioning load for the building case. Average and percentage distribution chiller loads strategies are used for the combination of chiller load. The average COP of the chillers at each range of partial load is used for multiple chillers system control. It has been found that using the average COP zoning analysis; the best control would allow the chillers to operate eight months in zone A, three months in zone B and one month in zone C. The average annual COP is 5.66, and the annual energy consumption is 504,136.1kWh. However for the worst control none of the monthly falls in zone A, but ten months fall in zone B and two months fall in zone C. The average annual COP falls in zone B. In comparison, the difference between the best and the worst cases are 22.7% and 20.7% respectively for the annual COP and annual chiller power.