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基于预估校正思想的离心压缩机性能换算 被引量:6

Performance conversion of centrifugal compressors based on predictor corrector method
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摘要 离心压缩机作为一种重要的动力旋转设备,广泛应用于天然气输送和石油化工等行业.由于现场实际工况与设计工况往往存在偏差,导致原有的设计曲线难以准确预测压缩机的实际性能.依据相似原理,结合现场实际情况对压缩机性能曲线进行换算是压缩机工程应用的一项重要工作.本文首先通过分析目前常用的3类相似换算方法的特点,发现压比是影响换算准确性的一个关键参数,减小该参数的误差可有效提高换算精度.在此基础上,提出一种基于预估校正思想的离心压缩机性能换算方法,该方法采用第二类相似换算方法对关键性参数压比进行预估,采用第一类相似换算方法对压比参数进行校正,从而大大提高相似换算结果的准确性.与川气东送长距离天然气输送管线某压气站现场数据对比,发现基于预估校正思想的换算方法所得的离心压缩机出口压力与实测数据误差仅为2%左右,出口温度的误差约2℃,性能换算精度较高. A centrifugal compressor is an important rotating tool that is widely used in the natural gas transportation industry. In engineering practice, working conditions typically deviate from design conditions. For example, inlet pressure and temperature levels are fixed in design conditions, whereas these two parameters are unstable under actual working conditions. Moreover, the physical properties of actual gas are often different from those of designed gas. As a result, it is difficult for a design performance curve to accurately predict the actual performance of a com- pressor. Therefore, it is necessary to study compressor performance conversions based on similarity criteria. At present, three primary methods are used for the conversion of compressor performance, i.e., the complete similarity conversion method, the first similarity conversion method and the second similarity conversion method. The com- plete similarity method adheres to very strict requirements, and it is difficult to completely meet such requirements in practical engineering settings. The first similarity conversion method is based on an assumption of polytrophic processes, and it is suitable to apply to gases with different adiabatic index values. For this method, temperature conversion results are accurate, but pressure conversion results are less accurate. The second similarity conversion method is based on an assumption of isometric processes. In contrast to the first similarity conversion method, the pressure conversion results of this method are accurate, but the temperature conversion results are less accurate. This is attributed to different means of determining the pressure ratio according to similarity conversion methods. If calculations of pressure ratios could apply the advantages and overcome the disadvantages of the first and second similarity conversion methods, the accuracy of performance conversion methods could be effectively improved. Based on the above, a new similarity conversion method for centrifugal compressors based on the predic- tor-corrector method is proposed. According to the proposed method, the second similarity conversion method is first used to predict the pressure ratio, and the first similarity conversion method is subsequently used to correct the pressure ratio. Thus, the pressure ratio can be corrected to ensure that both pressure and temperature conversion results are accurate. Finally, the first and second similarity conversion methods and the proposed method are used to convert the performance curve of a compressor used in the natural gas transmission pipeline running from Sichuan to eastern China. Compared with the field test data, the conversion errors of these three methods are as follows: for the first similarity conversion method, the relative of the outlet pressure is about 6% and the error of the outlet temperature is about 4-7℃; for the second similarity conversion method, the relative of the outlet pressure is about 4% and the error of the outlet temperature is about 2℃; for the proposed method, the relative of the outlet pressure is about 2% and the error of the outlet temperature is about 2℃. The results show that the method proposed in this paper is significantly more accurate than the other two common methods. Therefore, the use of this new method for compressor performance conversion in actual engineering settings is recommended.
出处 《科学通报》 EI CAS CSCD 北大核心 2018年第5期571-578,共8页 Chinese Science Bulletin
基金 北京市高水平创新团队建设计划(IDHT20170507) 长城学者培养计划(CIT&TCD20180313)资助
关键词 离心压缩机 性能曲线 性能换算 预估校正 centrifugal compressors, performance curve, similar principle, predictor corrector
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