化学工程
化學工程
화학공정
CHEMICAL ENGINEERING
2014年
3期
75-78
,共4页
孙恒%丁贺%刘丰
孫恆%丁賀%劉豐
손항%정하%류봉
LNG%SMR%运行优化%冷剂组分
LNG%SMR%運行優化%冷劑組分
LNG%SMR%운행우화%랭제조분
LNG%SMR%operation optimization%MR composition
对于采用混合冷剂制冷的液化天然气(LNG)装置,当环境温度变化时通过装置运行的优化操作,可以有效起到节能的效果。文中将设备变工况运行的模拟计算与基于 HYSYS 软件的工艺计算相结合,建立了单混合制冷剂循环(SMR)天然气液化装置的运行优化模型。优化运算的目标函数为运行能耗最低,寻优变量包括冷剂的摩尔流量和组分,采用 Box 算法进行求解。针对典型算例进行了环境温度变化时 SMR 装置的运行优化研究。优化结果表明:当环境温度降低时,运行优化可以有效降低 SMR 装置的能耗,但仍高于设计优化的结果。给出了运行优化后的工艺参数和冷剂组分,并与设计优化的结果进行了比较,一般运行优化所得冷剂摩尔流量较大,但是冷剂组分更轻。
對于採用混閤冷劑製冷的液化天然氣(LNG)裝置,噹環境溫度變化時通過裝置運行的優化操作,可以有效起到節能的效果。文中將設備變工況運行的模擬計算與基于 HYSYS 軟件的工藝計算相結閤,建立瞭單混閤製冷劑循環(SMR)天然氣液化裝置的運行優化模型。優化運算的目標函數為運行能耗最低,尋優變量包括冷劑的摩爾流量和組分,採用 Box 算法進行求解。針對典型算例進行瞭環境溫度變化時 SMR 裝置的運行優化研究。優化結果錶明:噹環境溫度降低時,運行優化可以有效降低 SMR 裝置的能耗,但仍高于設計優化的結果。給齣瞭運行優化後的工藝參數和冷劑組分,併與設計優化的結果進行瞭比較,一般運行優化所得冷劑摩爾流量較大,但是冷劑組分更輕。
대우채용혼합랭제제랭적액화천연기(LNG)장치,당배경온도변화시통과장치운행적우화조작,가이유효기도절능적효과。문중장설비변공황운행적모의계산여기우 HYSYS 연건적공예계산상결합,건립료단혼합제랭제순배(SMR)천연기액화장치적운행우화모형。우화운산적목표함수위운행능모최저,심우변량포괄랭제적마이류량화조분,채용 Box 산법진행구해。침대전형산례진행료배경온도변화시 SMR 장치적운행우화연구。우화결과표명:당배경온도강저시,운행우화가이유효강저 SMR 장치적능모,단잉고우설계우화적결과。급출료운행우화후적공예삼수화랭제조분,병여설계우화적결과진행료비교,일반운행우화소득랭제마이류량교대,단시랭제조분경경。
The optimization operation of Single Mixed Refrigerant (SMR)plant can increase its energy consumption under changed ambient temperature.An operation optimization model of SMR plant was developed by combination of devices calculations using fitting method and process simulation using HYSYS software.The optimized variables are the molar flow and the composition of MR (Mixed Refrigerant)and the object function is to minimize the energy consumption.The Box method was used to solve the optimization problem.The operation optimization was carried out for a typical SMR process under variable ambient temperature.The results show that the operation optimization can reduce the energy consumption though the energy consumption for operation optimization is still higher than that for design optimization.The optimized process parameters and MR composition were given and compared with that for design optimization.The mole flow of MR is larger than that for design optimization while lighter MR should be utilized in operation optimization.