基于性能曲面特性的干湿球温度允差等级划分

在试验结果的基础上，分析制冷量和能效比随干湿球温度的变化特性。用赤池信息量准则（Akaike information criterion，AIC）选取制冷量和能效比最优拟合三维曲面方程，求解制冷量和能效比随干湿球温度变化的梯度极值区间，以两者梯度极值区间内干湿球温度允差范围的并集为A级、现行干湿球温度允差为C级，以各级最大（最小）能效比变化率相等原则，对允差进行三级非线性划分。实例表明随着允差等级的升高，能效比最大变化率由5.19%缩减至1.04%，分级允差能够更加准确地判别房间空调器的能效等级，并给国家标准的修订提供参考。

Grading of dry-bulb and wet-bulb temperature allowances based on characteristics of performance curves

Based on performance test results, characteristics of cooling capacity (CC) and energy efficiency ratio (EER) change with indoor dry-bulb and wet-bulb temperatures (D&WBT) are examined. By applying corrected Akaike information criterion, best fit 3D surface equations of CC and EER are determined to obtain their variation gradients and corresponding intervals of gradient extrema. Based on the classification principle of keeping the maximum (minimum) EER variation rates between neighboring classes equal, D&WBT allowances in national standard are classified into three classes by using nonlinear classification, with the corresponding range of D&WBT in the union set of the intervals of gradient extrema of CC and EER as Class A, and the current D&WBT allowances set in the national standard as Class C. As an illustration of this new method, indoor D&WBT allowances under the cooling working condition are classified into Class A, B and C. The results show that the EER variation rate in Class A is as low as 1.04%, while that in Class C is 5.19%. It can be concluded that classified D&WBT allowances are more effective in evaluating the performance of a unit and valuable as a reference for revision of the national standard.