(2009). Optimization of Integrated Low-Temperature Gas Separation Processes Using SA Method and Different Refrigerants. Iranian Journal of Chemical Engineering(IJChE), 6(4), 27-33.
. "Optimization of Integrated Low-Temperature Gas Separation Processes Using SA Method and Different Refrigerants". Iranian Journal of Chemical Engineering(IJChE), 6, 4, 2009, 27-33.
(2009). 'Optimization of Integrated Low-Temperature Gas Separation Processes Using SA Method and Different Refrigerants', Iranian Journal of Chemical Engineering(IJChE), 6(4), pp. 27-33.
Optimization of Integrated Low-Temperature Gas Separation Processes Using SA Method and Different Refrigerants. Iranian Journal of Chemical Engineering(IJChE), 2009; 6(4): 27-33.
Optimization of Integrated Low-Temperature Gas Separation Processes Using SA Method and Different Refrigerants
In low-temperature processes, heat rejected from separation columns is removed byrefrigeration systems to heat sinks (reboilers & pre-heaters), process streams, otherrefrigeration streams, or external utilities. The need for efficient utilization andrecovery of energy in sub-ambient gas separation processes is still challenging.Performance and reliability of Simulated Annealing (SA) for simultaneous design andoptimization of such systems has been investigated previously. In this work, the effect ofdifferent refrigerants satisfying a set of process cooling duties at different temperaturesis addressed. Cost reduction can be realized by encompassing both effective screeningof heat-integrated separation columns and selecting the best refrigerants. A 29.7% costsavings has been shown through a case study. Afterwards, a comprehensivethermodynamic analysis has been carried out on achieved solutions to verify theaccuracy of existing shortcut models and robustness of optimized structure. It has beenshown that exergy analysis using two different approaches (i.e. stream wise and unitoperation wise) are the same, which indicate the accuracy of the used models.Moreover, we have indicated that both utility costs and exergy losses can be consideredas an objective function when optimizing the designs.
Top