Shuhang Chen , Shuai Zhang , Dafei Wang , Peng Zhang , Jiuce Sun , Zhengrong Ouyang , Zhihua Gan
{"title":"Dynamic simulation of warm compressor station for SHINE test facility cryoplant","authors":"Shuhang Chen , Shuai Zhang , Dafei Wang , Peng Zhang , Jiuce Sun , Zhengrong Ouyang , Zhihua Gan","doi":"10.1016/j.cryogenics.2024.103839","DOIUrl":null,"url":null,"abstract":"<div><p>To fulfill the cooling capacity needs of cryomodule test facility for the Shanghai high repetition rate x-ray free electron laser (XFEL) and extreme light facility (SHINE), a 1 kW@2 K helium cryoplant has been implemented. The helium cryoplant comprises a warm compressor station and a cold box, where the former ensures a consistent supply of high-pressure helium to the latter. Normally, a proportional integral (PI) controller is employed to regulate both high-pressure and low-pressure levels in the compressor station, thereby ensuring stable operation of the cold box. However, under certain circumstances such as cold box turbine shutdown, both high-pressure and low-pressure can experience significant fluctuations, thereby posing a risk of severe safety accidents. Hence, it is imperative to conduct tests on pressure fluctuations in the aforementioned conditions. Due to the risks associated with conducting failure condition experiments, a dynamic simulation model of the warm compressor station was developed using EcosimPro software to perform failure testing. The simulation results of the compressor start process are compared with experimental data to validate the accuracy of the dynamic model. Subsequently, simulations of the valve fail open, turbine shutdown, and heat load shock conditions are conducted. Fuzzy PI (FPI) control is introduced to cope with fault conditions. The simulation results have verified the effectiveness of FPI control over conventional PI control, which can reduce maximum high pressure (HP) and recovery time under fault conditions.</p></div>","PeriodicalId":10812,"journal":{"name":"Cryogenics","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cryogenics","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0011227524000596","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
To fulfill the cooling capacity needs of cryomodule test facility for the Shanghai high repetition rate x-ray free electron laser (XFEL) and extreme light facility (SHINE), a 1 kW@2 K helium cryoplant has been implemented. The helium cryoplant comprises a warm compressor station and a cold box, where the former ensures a consistent supply of high-pressure helium to the latter. Normally, a proportional integral (PI) controller is employed to regulate both high-pressure and low-pressure levels in the compressor station, thereby ensuring stable operation of the cold box. However, under certain circumstances such as cold box turbine shutdown, both high-pressure and low-pressure can experience significant fluctuations, thereby posing a risk of severe safety accidents. Hence, it is imperative to conduct tests on pressure fluctuations in the aforementioned conditions. Due to the risks associated with conducting failure condition experiments, a dynamic simulation model of the warm compressor station was developed using EcosimPro software to perform failure testing. The simulation results of the compressor start process are compared with experimental data to validate the accuracy of the dynamic model. Subsequently, simulations of the valve fail open, turbine shutdown, and heat load shock conditions are conducted. Fuzzy PI (FPI) control is introduced to cope with fault conditions. The simulation results have verified the effectiveness of FPI control over conventional PI control, which can reduce maximum high pressure (HP) and recovery time under fault conditions.
为满足上海高重复率 X 射线自由电子激光器(XFEL)和极光设施(SHINE)低温模块测试设施的冷却能力需求,已安装了一台 1 kW@2 K 的氦冷冻机。氦低温装置由一个热压缩机站和一个冷箱组成,前者确保向后者持续供应高压氦气。通常情况下,采用比例积分(PI)控制器来调节压缩机站的高压和低压水平,从而确保冷箱的稳定运行。然而,在某些情况下,如冷箱涡轮机停机,高压和低压都会出现大幅波动,从而带来严重的安全事故风险。因此,必须对上述条件下的压力波动进行测试。由于进行失效条件实验存在风险,因此使用 EcosimPro 软件开发了暖压缩机站的动态模拟模型,以进行失效测试。压缩机启动过程的模拟结果与实验数据进行了比较,以验证动态模型的准确性。随后,对阀门故障打开、涡轮机关闭和热负荷冲击条件进行了模拟。为应对故障条件,引入了模糊 PI(FPI)控制。仿真结果验证了 FPI 控制比传统 PI 控制更有效,可以降低故障条件下的最大高压(HP)并缩短恢复时间。
期刊介绍:
Cryogenics is the world''s leading journal focusing on all aspects of cryoengineering and cryogenics. Papers published in Cryogenics cover a wide variety of subjects in low temperature engineering and research. Among the areas covered are:
- Applications of superconductivity: magnets, electronics, devices
- Superconductors and their properties
- Properties of materials: metals, alloys, composites, polymers, insulations
- New applications of cryogenic technology to processes, devices, machinery
- Refrigeration and liquefaction technology
- Thermodynamics
- Fluid properties and fluid mechanics
- Heat transfer
- Thermometry and measurement science
- Cryogenics in medicine
- Cryoelectronics