شبيه سازي و بهينه سازي فرآيند چرخه مبرد آميخته ي چند جريانه پياپي جهت توليد گاز طبيعي مايع

Simulation and Optimization of Mixed Fluid Cascade Process to Produce Liquefied Natural Gas

ﻣﺼﺮف ﺟﻬﺎﻧﯽ اﻧﺮژي روز ﺑﻪ روز در ﺣﺎل اﻓﺰاﯾﺶ ﻣﯽﺑﺎﺷﺪ. ﮔﺎز ﻃﺒﯿﻌﯽ و ﻣﺨﺼﻮﺻﺎ ﮔﺎز ﻃﺒﯿﻌﯽ ﻣﺎﯾﻊ دراﯾﻦ اﻓﺰاﯾﺶ ﻣﺼـﺮف، ﻧﻘـﺶ ﻗﺎﺑﻞ ﺗﻮﺟﻬﯽ داﺷﺘﻪ اﺳﺖ. ﮔﺎز ﻃﺒﯿﻌﯽ ﻣﺎﯾﻊ ﺑﺎ ﺳﺮد ﮐﺮدن ﮔﺎز ﻃﺒﯿﻌﯽ ﺑﺪﺳﺖ ﻣﯽآﯾﺪ. ﮔﺎز ﻃﺒﯿﻌﯽ ﻣﺎﯾﻊ ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اﯾـﻦ ﮐـﻪ ﺣﺠـﻢ ﻧﺴﺒﺖ ﺑﻪ ﺣﺠﻢ ﮔﺎز ﻃﺒﯿﻌﯽ ﮐﻤﺘﺮ ﻣﯽﺑﺎﺷﺪ، ﻣﻮﺟﺐ ﮐﺎﻫﺶ اﺳﺎﺳﯽ در ﻫﺰﯾﻨﻪﻫﺎي ﺣﻤﻞ و ﻧﻘـﻞ ﻣـﯽ ﮔـﺮدد. ﺑـﺎ ﺗﻮﺟـﻪ ﺑـﻪ اﯾـﻦ ﮐـ ﮐﻤﭙﺮﺳﻮر ﯾﮑﯽ از ﻣﻬﻢﺗﺮﯾﻦ ﺗﺠﻬﯿﺰات ﻣﻮرد اﺳﺘﻔﺎده در ﻓﺮآﯾﻨﺪ ﺳﺮدﺳﺎزي ﮔﺎز ﻃﺒﯿﻌﯽ ﻣﯽﺑﺎﺷﺪ. اﻫﺪاف ﮐﻠﯽ اﯾﻦ ﻣﻘﺎﻟﻪ، اﺑﺘﺪا شبيه ﺳﺎزي ﻓﺮآﯾﻨﺪ ﻣﺎﯾﻊ ﺳﺎزي ﮔﺎز ﻃﺒﯿﻌﯽ ﺑﻪ روش ﭼﺮﺧﻪ ﻣﺒﺮد آﻣﯿﺨﺘﻪي ﭼﻨﺪ ﺟﺮﯾﺎﻧﻪ ﭘﯿﺎﭘﯽ و ﺳﭙﺲ ﺑﻬﯿﻨﻪﺳﺎزي ﮐﺎر ﮐﻤﭙﺮﺳـﻮر ﻣـﯽ ﺑﺎﺷﺪ. ﺷﺒﯿﻪ ﺳﺎزي ﻓﺮآﯾﻨﺪ ﺑﻪ ﮐﻤﮏ ﻧﺮم اﻓﺰار آﺳﭙﻦ ﻫﯿﺰس1 و ﺑﻬﯿﻨﻪﺳﺎزي ﺑﺎ اﺗﺼﺎل ﻧﺮم اﻓﺰار ﻣﺘﻠﺐ2 ﺑﻪ آﺳﭙﻦ ﻫﯿﺰس ﺻـﻮرت ﻣـﯽ ﮔﯿﺮد. اﺑﺘﺪا ﺗﺎﺑﻊ ﻫﺪف و ﺳﭙﺲ ﻗﯿﻮد و ﻣﺤﺪودﯾﺖﻫﺎ را ﻣﺸﺨﺺ ﻣﯽﻧﻤﺎﯾﯿﻢ. ﻗﯿﻮد ﺑﻪ ﮐﻤﮏ درﺟﻪ آزادي ﺗﻌﺮﯾﻒ ﻣﯽﺷﻮد ﮐﻪ در اﯾـﻦ ﺗﺤﻘﯿﻖ ﺑﺎ 11 درﺟﻪ آزادي، ﺳﺮوﮐﺎر دارﯾﻢ؛ و ﻫﻤﭽﻨﯿﻦ ﮐﺎر ﮐﻤﭙﺮﺳﻮر ﺗﺎﺑﻊ ﻫﺪف ﻣﺎ ﻣﯽﺑﺎﺷﺪ. ﻧﺘـﺎﯾﺞ ﻧﺸـﺎن داد ﮐـﻪ ﺑﻬﯿﻨـﻪ ﺳـﺎزي، ﺟﺐ ﮐﺎﻫﺶ 10/62 درﺻﺪي در ﻣﺼﺮف ﺳﺎﻟﯿﺎﻧﻪ اﻧﺮژي ﻣﯽ ﺷﻮد. ﻫﻤﭽﻨﯿﻦ ﺳﺒﺐ ﺷﺪ ﻫﺰﯾﻨﻪ ﻣﺼـﺮف اﻧـﺮژي ﺳـﺎﻟﯿﺎﻧﻪ،1 مليون دلار كاهش يابد

As the worldwide energy consumption continues to grow, natural gas and Especially LNG are expected to keep contributing significantly with this growth. Liquefied natural gas by cooling the natural gas is obtained. Due to the volume of liquefied natural gas is less than the volume of natural gas, leading to a substantial reduction in the cost of transport. The compressor is one of the most important equipment used in the liquefaction process. The overall objective of this thesis is to simulation an LNG liquefaction process, then describes optimized work compressor. The mixed fluid cascade (MFC) processes are used for this purpose. Optimization of the process was attempted using MATLAB by interfacing the Aspen Hysys with MATLAB software's. We must determine the objective function and constraints for optimization. The constraints are defined using the degrees of freedom, in this project we are working with 11 degrees of freedom and Compressor work, we consider the objective function. Optimization of both obtains good result. Optimization with MATLAB, decreased 10.67% energy consumption and too1× 106 $ per year savings are obtained with MATLAB.