多参数协同的集中空调冷却塔优化序列控制策略研究
Optimal sequential control strategy of central air conditioningcooling towers with multi-parameter collaboration
摘要：
变频控制是集中空调冷却塔常用的节能控制策略,但在低负荷时经常出现少台高频运行问题,能源浪费大。本文提出了一种多参数协同的冷却塔优化序列控制策略,通过序列控制参数来平衡冷却塔风机启停频次与能耗,并探究了不同负荷条件下序列控制参数与风机启停频次及能耗之间的规律特征,为序列控制参数的设置提供依据。以实际集中空调冷却水系统为对象建立测试平台,对优化序列控制策略的控制性能进行了验证。结果表明,相较于常规控制策略,在达到相同冷却效果的情况下,采用优化序列控制策略时,中负荷(设计负荷的37%～69%)条件下冷却塔能耗降低8.63%,低负荷(设计负荷的23%～40%)条件下冷却塔能耗降低52.61%。本研究为冷却塔的高性能运行提供了有效的控制方法。
Abstract：
Variable frequency control is a commonly used energy-saving control strategy for central air conditioning cooling towers. When the load is light, there are often few fans operating at high frequency, resulting in a large waste of energy consumption. This study proposes an optimal sequential control strategy with multi-parameter collaboration for cooling towers, which balances the fan on/off frequency and energy consumption by the sequential control parameter. Further, the regular characteristics between the sequential control parameter and both the fan on/off frequency and energy consumption under different load conditions are studied to provide a basis for setting the sequential control parameter. A test platform is established based on a real central air conditioning cooling water system to validate the control performance of the optimal sequential control strategy. The results show that, compared with the conventional control strategy, the optimal sequential control strategy achieves 8.63% energy consumption reduction under medium load conditions (37%-69% of the design cooling load) when the same cooling performance is obtained. And it is 52.61% energy consumption reduction under light load conditions (23%-40% of the design cooling load). This study provides an effective control method for the high-performance operation of cooling towers.
Keywords:central air conditioning; cooling tower; optimal sequential control; multi-parameter collaboration; on/off frequency; energy-saving control