Simulation and optimization of Mixed Fluid Cascade process to produce Liquefied natural gas

Hamideh Mahmoodabadi

Abstract


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 Genetic Algorithms 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 genetic algorithms, decreased 13.29% energy consumption and too 11.7× 106 $ per year savings are obtained with genetic algorithm.

Keywords: Liquefied natural gas, optimization, compressor work, genetic algorithm.


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Nova Journal of Engineering and Applied Sciences ISSN: 2292-7921

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DOI Prefix: 10.20286