Journal article

Discrete-Continuous Genetic Algorithm for Designing a Mixed Refrigerant Cryogenic Process

A Ebrahimi, J Tamnanloo, SH Mousavi, E Soroodan Miandoab, E Hosseini, H Ghasemi, S Mozaffari

Industrial & Engineering Chemistry Research | American Chemical Society (ACS) | Published : 2021

Abstract

Over the last few decades, the optimal design and operation of energy-intensive industries such as cryogenic process has gained considerable attention. Because of their high energy efficiency, compact design, and energy-efficient heat transfer, mixed refrigerant (MR) systems are used in several industrial applications. The optimal refrigerant composition - which is difficult to obtain - is crucial to the efficiency of MR systems. In this research, we explore the MR cryogenic process optimization using 17 different components in the refrigerant stream with normal boiling points ranging from -268.9 to 36 °C to achieve the lowest specific energy consumption. Here, we developed a discrete-contin..

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