Genetic Algorithm Optimization of a Small Scale Natural Gas Liquefaction Process
An optimization scheme based on COM server is suggested for communication between Genetic Algorithm (GA) toolbox of MATLAB and Aspen HYSYS. The structure and details of the proposed framework are discussed. The power of the developed scheme is illustrated by its application to the optimization of a recently developed natural gas liquefaction process in which Aspen HYSYS was used for minimization of the power consumption by optimizing the values of five operating variables. In this work, optimization by coupling between the GA in MATLAB and Aspen HYSYS model of the same process using the same five decision variables enabled improvements in power consumption by 3.3%, when 77% of the natural gas feed is liquefied. Also on inclusion of the flow rates of both nitrogen and carbon dioxide refrigerants as two additional decision variables, the power consumption decreased by 6.5% for a 78% liquefaction of the natural gas feed.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131713Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 963
 BP Energy Outlook 2035, 2014 Ed. BP’s Energy Outlook, 2014.
 W. Lim, K. Choi, I. Moon, Current Status and Perspectives of Liquefied Natural Gas (LNG) Plant Design, Ind. Eng. Chem. Res. 52 (2013) 3065–3088.
 S. Mokhatab, W. A. Poe, J. G. Speight, Handbook of Natural Gas Transmission and Processing, Gulf Professional Publishing, 2006.
 D. Wood, C. Nwaoha, B. F. Towler, Gas-to-liquids (GTL): A review of an industry offering several routes for monetizing natural gas, J. Nat. Gas Sci. Eng. 9 (2012) 196–208.
 K. Nazari, Z. Taheri, M. Mehrabi, R. Khodafarin, Natural Gas Hydrate Production and Transportation, Proceedings of the 7th International Conference on Gas Hydrates (ICGH 2011), Edinburgh, Scotland, UK, 2011.
 D. Sloan, C. Koh, A. K. Sum, Natural Gas Hydrates in Flow Assurance. Gulf Professional Publishing, 2010.
 X. Wang, M. Economides, Advanced Natural Gas Engineering, Gulf Publishing Company, 2009.
 A. J. Finn, Effective LNG Production Offshore, 81st Annual GPA Convention, Dallas, 2002.
 A. J. Finn, G. L. Johnson, T. R. Tomlinson, LNG Technology for Offshore and Mid-Scale Plants, 79th Annual GPA Convention, Atlanta, 2000.
 B. Austbø, T. Gundersen, Optimization of a single expander LNG process, Energy Procedia 64 (2015) 63–72.
 M. S. Khan, S. Lee, M. Getu, M. Lee, Knowledge inspired investigation of selected parameters on energy consumption in nitrogen single and dual expander processes of natural gas liquefaction, J. Nat. Gas Sci. Eng., 23(2015) 324–337.
 T. B. He, Y. L. Ju, A novel conceptual design of parallel nitrogen expansion liquefaction process for small-scale LNG (liquefied natural gas) plant in skid-mount packages, Energy 75 (2014) 349–359.
 M.S. Khan, S. Lee, M. Hasan, M. Lee, Process knowledge based opportunistic optimization of the N2–CO2 expander cycle for the economic development of stranded offshore fields, J. Nat. Gas Sci. Eng., 18 (2014) 263–273.
 Z. Yuan, M. Cui, Y. Xie, C. Li, Design and analysis of a small-scale natural gas liquefaction process adopting single nitrogen expansion with carbon dioxide pre-cooling, Appl. Therm. Eng. 64 (2014) 139–146.
 P. Hatcher, R. Khalilpour, A. Abbas, Optimisation of LNG mixed-refrigerant processes considering operation and design objectives, Comput. Chem. Eng., 41 (2012) 123–133.
 G. P. Rangaiah, Advances in Process Systems Engineering-Vol.2 Stochastic Global Techniques and Applications in Chemical Engineering, World Scientific, 2010.
 S. N. Sivanandam, S. N. Deepa, S. N., Introduction to Genetic Algorithms, Springer Science & Business Media, 2007.
 J. H. Hwang, M. I. Roh, K. Y. Lee, Determination of the optimal operating conditions of the dual mixed refrigerant cycle for the LNG FPSO topside liquefaction process, Comput. Chem. Eng., 49 (2013) 25–36.
 L. Cao, J. Liu, X. Xu, Robustness analysis of the mixed refrigerant composition employed in the single mixed refrigerant (SMR) liquefied natural gas (LNG) process, Appl. Therm. Eng. 93 (2016) 1155–1163.
 The Component Object Model (COM) (2015). Available from: https://msdn.microsoft.com/en-us/library/windows/desktop/ms694363(v=vs.85).aspx. Accessed 8.14.15.
 A. Alabdulkarem, A. Mortazavi, Y. Hwang, R. Radermacher, P. Rogers, Optimization of propane pre-cooled mixed refrigerant LNG plant, Appl. Therm. Eng., 31 (2011) 1091–1098.
 T. B. He, Y.L. Ju, Performance improvement of nitrogen expansion liquefaction process for small-scale LNG plant, Cryogenics, 61 (2014) 111–119.
 H. Ding, H. Sun, M. He, Optimisation of expansion liquefaction processes using mixed refrigerant N2–CH4, Appl. Therm. Eng., 93 (2016) 1053–1060.
 Create COM server - MATLAB actxserver (2015). Available from: http://www.mathworks.com/help/matlab/ref/actxserver.html. Accessed 8.14.15.