计算机应用与软件2018，Vol.35Issue(3)：38-42,60,6.DOI:10.3969/j.issn.1000-386x.2018.03.007
大型天然气压缩机组节能优化软件设计
DESIGN OF ENERGY SAVING OPTIMIZATION SOFTWARE FOR LARGE NATURAL GAS COMPRESSOR
摘要
Abstract
As the key equipment in the conveying process, the natural gas compressor efficiency and power consumption are directly related to the maintenance costs,and its optimization difficulty is how to accurately predict the inlet pressure and shaft power.In order to solve the above problems,we used C language to compile the software and put forward a method to predict the inlet pressure and shaft power based on BP neural network.In Lab Windows/CVI, we developed the energy saving optimization software of natural gas compressor.The method predicted the compressor inlet pressure and shaft power by testing intake air temperature, output flow rate and output pressure, adjusted compressor operating conditions according to intake air pressure and adjusted compressor operating combinations according to shaft power to achieve energy saving of compressor units.We used the software development results of pressurized station large natural gas compressors for optimal operation of the test.The results showed that the software can be used to predict the inlet pressure,and the calculated error was less than 2.75%.By predicting the shaft power and adjusting the operating combination,it saved about 10%of the energy.The above results showed that the software could effectively improve the operating efficiency of compressors and reduced the operation and maintenance costs of booster stations.关键词
天然气压缩机/神经网络/节能优化/数值预测Key words
Natural gas compressor/Neural network/Energy saving optimization/Numerical prediction分类
信息技术与安全科学引用本文复制引用
刘航铭,周元华,易先中,徐梦卓,刘欢..大型天然气压缩机组节能优化软件设计[J].计算机应用与软件,2018,35(3):38-42,60,6.基金项目
国家科技重大专项(2016ZX05022006-004) （2016ZX05022006-004）
国家高技术船舶科研计划项目(工信部联装[2014]506号) （工信部联装[2014]506号）
湖北省技术创新专项(2016ACA181) （2016ACA181）
长江大学地热资源开发研究所开放课题(GeoTH2014-04) （GeoTH2014-04）
长江大学青年基金项目(2015CQN46). （2015CQN46）
