补气增焓型涡旋式压缩机半经验模型建立与实验验证

岳宝; 王龙炎; 曹昊敏; 吴志刚; 翁晓敏; 丁国良

doi:10.12465/j.issn.0253-4339.2025.06.082

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补气增焓型涡旋式压缩机半经验模型建立与实验验证

更新时间：2025-12-03

- 补气增焓型涡旋式压缩机半经验模型建立与实验验证
- Semi-Empirical Model and Experimental Verification of Scroll Compressor with Vapor Injection
- 制冷学报 2025年46卷第6期页码：82-89
- 作者机构：
  
  1.广东美的暖通设备有限公司　佛山　 528311
  2.上海交通大学机械与动力工程学院　上海　 200240
- 作者简介：
  
  丁国良，男，教授，博士生导师，上海交通大学机械与动力工程学院，制冷与低温工程研究所，（021）34206378，E-mail：glding@sjtu.edu.cn。研究方向：制冷空调装置的仿真、优化与新工质应用。
- 基金信息：
- DOI：10.12465/j.issn.0253-4339.2025.06.082
  中图分类号： TB61⁺1;TB652
- 收稿：2024-09-06，
  
  修回：2024-09-25，
  
  录用：2024-09-26，
  
  纸质出版：2025-12-16
- 稿件说明：
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岳宝, 王龙炎, 曹昊敏, 等. 补气增焓型涡旋式压缩机半经验模型建立与实验验证[J]. 制冷学报, 2025,46(6):82-89.

Yue Bao, Wang Longyan, Cao Haomin, et al. Semi-Empirical Model and Experimental Verification of Scroll Compressor with Vapor Injection[J]. Journal of Refrigeration, 2025, 46(6): 82-89.
岳宝, 王龙炎, 曹昊敏, 等. 补气增焓型涡旋式压缩机半经验模型建立与实验验证[J]. 制冷学报, 2025,46(6):82-89. DOI： 10.12465/j.issn.0253-4339.2025.06.082.

Yue Bao, Wang Longyan, Cao Haomin, et al. Semi-Empirical Model and Experimental Verification of Scroll Compressor with Vapor Injection[J]. Journal of Refrigeration, 2025, 46(6): 82-89. DOI： 10.12465/j.issn.0253-4339.2025.06.082.

摘要

为了对补气增焓系统进行仿真和优化，需要开发计算快速、精度高、外推性好且数据需求量小的补气增焓型涡旋式压缩机模型，现有的模型均无法同时满足以上要求。基于物理机理建立了补气增焓型涡旋式压缩机的显式计算半经验模型，对压缩机的流量、功率和排气温度进行预测。吸气流量模型通过使用比热比对压比进行修正并与频率的二次函数项相乘得到；补气流量模型基于等容混合过程假设并通过扩充系数得到；排气流量等于吸气和补气流量之和；功率模型基于等熵压缩假设并使用高低压修正得到；排气温度模型基于漏热因子实现了对排气温度的显式计算。基于实验测试数据对模型进行验证，结果表明，模型具有毫秒级的计算速度，且能够准确预测压缩机的性能参数，对吸、排气流量预测的平均误差均在2%以内，对补气流量、功率和排气温度预测的平均误差分别在5%、3%和3 ℃以内；将模型应用在拟合工况范围外仍能得到合理的结果；模型拟合需要的数据量相比于已有的模型减少50%以上。

Abstract

To simulate and optimize an enhanced vapor-injection system

it is necessary to develop a vapor-injection scroll compressor model with fast calculation speed

high accuracy

good extrapolation accuracy

and few parameters for computation. However

existing models cannot meet these demands simultaneously. In this study

a physics-based explicit form semi-empirical model of a scroll compressor with vapor injection was developed to predict its mass flow rate

input power

and discharge temperature. In this model

the suction mass flow rate was derived by correcting the pressure ratio using the specific heat ratio and multiplying it by the quadratic function of frequency. The injection mass flow rate was based on the assumption of an isochoric mixing process and obtained by expanding the coefficients. The discharge flow rate was the sum of the suction and injection mass flow rates. The input power was based on the assumption of isentropic compression and corrected by pressure

and the discharge temperature model was based on the heat leakage factor. The model was validated based on experimental data

and the results showed that the model had a calculation speed of milliseconds

and was able to accurately predict the performance of the compressor

with the average deviations of the suction mass flow rate and discharge mass flow rate both within 2%

and the average deviations of the injection mass flow rate

input power

and discharge temperature within 5%

and 3 ℃

respectively. The model can provide reasonable results outside the range of fitted conditions

and the amount of data required for model fitting has been reduced by more than 50% compared to that of existing models.

关键词

Keywords

references

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