In this study, approaches developed by previous studies which to improve the characteristic equation method applied to absorption chiller were analyzed and an approach is proposed aiming to make a further contribution. A computational code was designed containing the chiller thermodynamic modelling and the characteristic equations obtained by each approach. The modelling results and the characteristic equations results were numerically compared and the COP and heat removed (${\dot{Q}}_E)$ deviations between them were calculated. The sequence of approaches aimed to reduce these deviations. The first approach computed the characteristic parameters and used them as constant values. The second approach used a linear adjustment between the minimum characteristic temperature difference (ΔΔt_minE) and the characteristic temperature difference. The third approach used the previous approach adjustment, and the following were inserted in the characteristic equations: linear adjustments between ΔΔt_minE; S_E and the lift temperature (∆t_lift), and between ΔΔt_minE; S_E and the thrust temperature (∆t_thrust). The ∆t_thrust adjustment obtained the lowest deviations. Using ΔΔt_minE obtained directly from the input data, a better linear adjustment was achieved between ΔΔt_minE and ∆t_thrust. The use of this adjustment was treated as a proposed approach and achieved even smaller deviations. Then, a case study of a commercial chiller was conducted with this approach. Most COP and ${\dot{Q}}_E$ deviations values obtained in this case study were lower than 5%. Deviations between the manufacturer's datasheet values and the characteristic equations results were lower than 10%. Therefore, it can be understood that this approach can contribute to the characteristic equation method.

在这项研究中，分析了以前的研究方法，以改进应用于吸收式制冷机的特征方程法，并提出了一种旨在做出进一步贡献的方法。设计了包含冷却器热力学模型和每种方法获得的特征方程的计算代码。对建模结果和特征方程结果进行了数值比较，并去除了COP和热量（${\dot{问}}_{Ë}）$计算它们之间的偏差。旨在减少这些偏差的方法序列。第一种方法计算特征参数并将其用作常数。第二种方法使用的最小特征温度差（ΔΔ之间的线性调整吨_矿）和特性的温度差。第三种方法中使用的先前方法的调整，并下面分别插入在特征方程：ΔΔ之间线性调整吨_矿; 小号_Ë和提升温度（Δt的_升力），和ΔΔ之间吨_矿; S _E和推力温度（Δt_推力）。Δt_推力调整获得了最小的偏差。使用ΔΔ吨_矿从输入数据直接获得，更好的线性调整是ΔΔ之间实现吨_矿并且Δt_推力。这种调整的使用被视为一种建议的方法，并且实现了更小的偏差。然后，使用这种方法对商用冷水机组进行了案例研究。大多数COP和${\dot{问}}_{Ë}$在本案例研究中获得的偏差值低于5％。制造商数据表值与特性方程式结果之间的偏差低于10％。因此，可以理解，该方法可以有助于特征方程法。