基于Python的大型LNG全容储罐预冷仿真 分析系统开发
Development of pre-cooling simulation analysis system for large scale full containment LNG storage tank based on Python
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- 引用格式:
-
张宝和,田广胜,冯建周,黄志新,张昊,高欣宇.基于Python的大型LNG全容储罐预冷仿真 分析系统开发[J].天然气与石油,2022,40(2):21-26.doi:10.3969/j.issn.1006-5539.2022.02.004
ZHANG Baohe, TIAN Guangsheng, FENG Jianzhou, HUANG Zhixin, ZHANG Hao, GAO Xinyu.Development of pre-cooling simulation analysis system for large scale full containment LNG storage tank based on Python[J].Natural Gas and Oil,2022,40(2):21-26.doi:10.3969/j.issn.1006-5539.2022.02.004
- DOI:
- 10.3969/j.issn.1006-5539.2022.02.004
- 作者:
- 张宝和1 田广胜2 冯建周1 黄志新2 张昊1 高欣宇1
ZHANG Baohe1, TIAN Guangsheng2, FENG Jianzhou1, HUANG Zhixin2, ZHANG Hao1, GAO Xinyu1
- 作者单位:
- 1. 海洋石油工程股份有限公司, 天津 300461; 2. 安世亚太科技股份有限公司, 北京 100025
1. Offshore Oil Engineering Co., Ltd., Tianjin, 300461, China; 2. PERA Global, Beijing, 100025, China
- 关键词:
- LNG储罐;预冷;CFD模拟;二次开发
LNG tank; Pre-cooling; CFD simulation; Secondary development
- 摘要:
- 为了减少LNG全容储罐预冷模拟试验研究的成本,通过仿真软件对LNG全容储罐预冷过程进行模拟分析。基于Python语言开发出大型LNG全容储罐预冷仿真分析系统,将预冷相关的技术、行业经验与仿真流程封装成模板,使用者仅需输入相应参数,程序模板自动执行仿真计算,即可得到预冷过程的仿真结果,降低了仿真使用门槛,缩短了预冷效果的分析校核时间和周期,提升了预冷效率和预冷可靠性。预冷仿真可以得到各监控点的温度数据。通过实际预冷过程将监测温降曲线与模拟结果进行对比,确认相对误差为5%,预冷仿真分析系统设置和计算的CFD模拟结果可靠。
In order to reduce the cost of pre-cooling simulation test research, simulation analysis on the tank pre-cooling process is carried out using simulation software. In this paper, the pre-cooling simulation analysis system for large scale full containment LNG storage tank is developed based on Python language. The developed pre-cooling simulation analysis system can incorporate the related technologies, engineering experience and simulation process into a template. Upon the input of corresponding parameters by users, program template will automatically performs the simulation calculation to get the simulation results of pre-cooling. This approach lowers the simulation threshold, shortens the analysis and verification time frame and cycle time of the pre-cooling effect, and improves pre-cooling efficiency and reliability. At the same time, the pre-cooling simulation can obtain the real time temperature data of each monitoring point as well. By comparing the actual pre-cooling process monitoring temperature drop curve with the simulation results, it is confirmed that the relative error is 5%, and the pre-cooling simulation analysis system settings and calculated CFD simulation results are reliable.
