基于响应面法的表冷器风机集放热系统参数优化

Parameters Optimization of Greenhouse Air-cooled Condenser Heat Collection and Release System by Response Surface Method

为发挥表冷器风机集放热系统的最佳性能,以提高热流量和性能系数(COP)为优化目标,选取空气循环水的温度差(水气温差)、水流速和风速3个关键影响因素,分别进行了单因素和三因素三水平响应面优化试验。结果表明:在水流速和风速不变的条件下,热流量和性能系数随水气温差的增大而线性增大;在水气温差不变的条件下,热流量随水流速或风速的增大而增大,性能系数呈先增大后减小的趋势。由响应面法得出各影响因素对热流量影响由大到小依次为水流速、风速、水气温差,对性能系数影响由大到小依次为风速、水流速、水气温差;系统的优化调控参数为:风速1.91 m/s、水流速1.23 m/s、水气温差5.8℃,此时热流量为5.88 kW,性能系数为4.9。说明响应面法用于优化表冷器风机集放热系统调控参数可行。本研究为此类集放热系统高效、节能运行提供了一种参数调控优化方法。

To maximize the performance of the air-cooled condenser heat collection and release system,with the goal of improving heat transfer rate and COP,three key influencing factors,i.e.,the air and circulating water temperature difference(air and water temperature difference),water flow velocity and air velocity were selected as independent variables,and the best control parameters were obtained through the three-factor three-level response surface method(RSM).The results showed that under the condition of constant water flow velocity and air velocity,heat transfer rate and COP were increased linearly with the increase of air and water temperature difference.Under the condition that the air and water temperature difference was constant,the heat transfer rate was increased with the increase of the water flow velocity or air velocity,but the COP tended to increase first and then decrease.Further,the RSM was used to draw the significance order of the three factors on heat transfer rate as descending order was as follows:water flow velocity,air velocity,and air and water temperature difference,the significance order of the three factors on COP as descending order was as follows:air velocity,water flow velocity,and air and water temperature difference.The optimal control parameters of the system were:air velocity of 1.91 m/s,water flow velocity of 1.23 m/s,and air and water temperature difference of 5.8℃,under this operating condition,the heat transfer rate was 5.88 kW,and the COP was 4.9.Therefore,it was feasible to use the RSM to optimize the parameters of the greenhouse heat collection and release system.This study provided an optimization method of the operating parameters for the efficient and energy-saving operation of this type of heat collection and release system.The full play of the performance of the air-cooled condenser heat collection and release system provided data support.