制冷剂是蒸汽压缩系统的生命血液，广泛应用于供暖、通风、空调和制冷（HVAC&R）应用。暖通空调和制冷行业目前正在从具有高全球变暖潜能（GWP）的主流制冷剂过渡到GWP较低的替代制冷剂。在此过渡期间，考虑替代制冷剂的生命周期气候性能非常重要，因为它们的性能将不同于GWP较高的制冷剂。这需要评估新制冷剂的系统性能。不幸的是，如果没有实验验证，很难预测新替代制冷剂的实际性能。这方面的主要挑战之一是，由于工作参数、几何形状、边界条件和流体性质之间的复杂相互作用，以高保真度对压缩机性能进行建模。 高保真压缩机模型的计算成本很高，需要大量的预处理来评估替代制冷剂的性能。本文提出了一种新的方法来模拟使用替代制冷剂时的压缩机性能。新的建模概念依赖于使用现有的压缩机性能来创建一个近似模型，该模型捕获了压缩机性能对关键操作参数和流体特性的依赖性。该模型可以使用多种近似技术建立。本文主要研究基于克里格法的技术来开发高保真度的近似涡旋压缩机模型。基准和至少一种替代制冷剂性能数据用于建立模型。通过将模型结果与使用其他制冷剂的压缩机性能数据进行比较，评估了模型的准确性。初步结果表明，该近似模型可以在正负5%的范围内预测压缩机的质量流量和功率。 引用:ASHRAE论文CD:2014 ASHRAE冬季会议，纽约

Refrigerants are the life-blood of vapor compression systems that are widely used in Heating, Ventilation, Air-Conditioning, and Refrigeration (HVAC&R) applications. The HVAC&R community is currently transitioning from mainstream refrigerants that have high Global Warming Potential (GWP) to alternative lower-GWP refrigerants. During this transition, it is important to account for the life cycle climate performance of alternative refrigerants since their performance will be different than that of higher-GWP refrigerants. This requires the evaluation of the system performance with the new refrigerants. Unfortunately, it is extremely difficult to predict the realistic performance of new alternative refrigerants without experimental validation. One of the main challenges in this regard is modeling the compressor performance with high fidelity due to the complex interaction of operating parameters, geometry, boundary conditions, and fluid properties. High fidelity compressor models are computationally expensive and require significant pre-processing to evaluate the performance of alternative refrigerants.This paper presents a new approach to modeling compressor performance when alternative refrigerants are used. The new modeling concept relies on using existing compressor performance to create an approximate model that captures the dependence of compressor performance on key operating parameters and fluid properties. The model can be built using a myriad of approximation techniques. This paper focuses on Kriging-based techniques to develop higher fidelity approximate scroll compressor models. Baseline and at least one alternative refrigerant performance data are used to build the model. The model accuracy was evaluated by comparing the model results with compressor performance data using other refrigerants. Preliminary results show that the approximate model can predict the compressor mass flow rate and power within plus or minus 5%.