作　　者： ; ;

机构地区： 广东海洋大学

出　　处： 《暖通空调》 2013年第6期116-119,共4页

摘　　要： 采用响应面分析法建立了集中空调水系统总能效与冷负荷率、室外干球温度、冷却塔风机风量、冷水流量和冷却水流量的五元二次经验模型,得到了当负荷率和干球温度动态变化时,使制冷系统总能效最高的风机风量、冷水流量和冷却水流量,从而得到了冷却塔风机、冷却水泵、冷水泵和制冷主机的功率调节方案。结果表明,协同变流量控制能有效提高空调系统的总能效。 Sets up a quinary quadratic regression model between total energy efficiency ratio and cooling load ratio, outdoor dry bulb temperature, air volume of cooling tower fan, cooling water flow rate, chilled water flow rate of central air conditioning water system by using the response surface methodology, obtains the corresponding air volume of the fan, chilled water flow rate and cooling water flow rate to the highest total energy efficiency ratio of the cooling system while load rate and dry bulb temperature changing, then obtains the power adjustment programs of cooling tower fans, cooling water pumps, chilled water pumps and chillers. The results show that cooperative variable flow control can effectively improve the total energy efficiency of the air conditioning system.

关 键 词： 集中空调 水系统 协同变流量控制 制冷设备运行控制

领　　域： [建筑科学]