非设计工况下活塞式压缩机热力性能预测算法探究

doi:10.3901/JME.2025.14.297

摘要/Abstract

摘要： 氢气压缩机是加氢站的核心动力设备。为提高加压效率并确保安全可靠性，需要高效准确地预测监控压缩机在变工况下的热力性能。现有预测算法存在着在非设计工况下迭代收敛稳定性差的问题。分析热力性能预测迭代计算发散的原因，提出一种活塞式压缩机的性能预测算法。开发基于Python的压缩机热动力计算程序，搭建多级压缩数值计算模型并开展试验，验证提出算法的可行性。结果表明，现有算法迭代发散的两点原因：计算过程中未统一协调并限制各级压比和现有进气量计算公式不适用于“被动进气”工况下的计算。本研究针对迭代发散原因，提出压比统一调整算法，给出压比调整的区间限制。改进原有进气量计算公式，可同时适用于“主动进气”和“被动进气”工况下的性能预测计算。提出算法在非设计工况下的稳定性优于现有算法。这可为活塞式压缩机热力性能预测计算及其选型设计提供理论依据。

关键词: 活塞式压缩机, 性能预测, 热力计算, 非设计工况

Abstract: Hydrogen compressors are the core power equipment of hydrogen refueling stations. To improve pressurization efficiency and ensure safety and reliability, it is necessary to efficiently and accurately predict and monitor the thermal performance of compressors under variable operating conditions. Previous algorithms have the drawback of poor iterative convergence stability in non-design working conditions. The reasons for iteration divergence of thermal performance prediction calculation are analyzed, and a prediction algorithm for piston compressors is proposed. A python-based thermodynamic calculation program is developed. A multi-stage compression numerical calculation model is established and related experiments are conducted, verifying the feasibility of the proposed algorithm. The results indicate that two reasons for iteration divergence of previous algorithms are that there is no unified coordination and restriction for pressure ratios of all stages during the calculation process, and the previous formulas of intake volume calculation are not suitable for the recalculation in the case when a certain stage is in a passive intake condition. A unified pressure ratio adjustment algorithm is proposed to address iterative divergence, and range limitation for pressure ratio adjustment is provided. The original intake calculation formula is improved, which can be applied to performance prediction calculations under both active and passive intake conditions. The proposed algorithm has better stability than previous algorithms in the case of non-design working conditions. It can provide a theoretical basis for predicting and calculating the thermal performance of piston compressors, as well as for their selection and design.

Key words: reciprocating piston compressors, performance prediction, thermal calculation, non-design working conditions

中图分类号:

TG156

康祥, 李鹏飞, 白雪儿, 李云. 非设计工况下活塞式压缩机热力性能预测算法探究[J]. 机械工程学报, 2025, 61(14): 297-305.

KANG Xiang, LI Pengfei, BAI Xueer, LI Yun. Research on Thermal Performance Prediction Algorithm for Piston Compressors under Non-design Working Conditions[J]. Journal of Mechanical Engineering, 2025, 61(14): 297-305.

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