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Optimization of membrane process architecture

Abstract : Membrane separation is a well-known technology in gas purification, which is applicable in different aspects of the industry. Over the last decades, depending on the required separation performances, it became a viable alternative to several gas separation technologies (adsorption, cryogenics, gas /liquid contactors). To exploit at best this technology, nevertheless, tools to find cost-effective designs and operating conditions are necessary. While experimental optimization approaches applied to different case studies have been investigated extensively, a more generic optimization approach and its validation along different case studies are still missing. The work of this thesis starts with this key observation and tries to fill this gap. The membrane process synthesis is modelled as a nonlinear and non-convex mathematical optimization problem based on a superstructure paradigm covering a wide range of possible units (membrane modules, compressors, and vacuum pumps) and connections as exhaustive as possible. Realistic and detailed cost functions are used as the objective in the optimization. A continues global optimization strategy, that can be considered as the composition of two algorithms: Multistart and Monotonic Basin Hopping (MBH); is presented to solve the aforementioned optimization problem. The efficiency of this overall optimization approach is, first, validated by comparing its solution with the ones presented in the literature. Then, the proposed method is applied to the optimization of several important gas separation cases (CO2 recovery from blast furnace gas, O2/N2 air separation, and biogas and natural gas purification) by increasing the membrane system degree of freedom step by step. Detailed analysis of the results is discussed in terms of process architecture and cost distribution (CAPEX, OPEX).
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https://hal.univ-lorraine.fr/tel-02556033
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  • HAL Id : tel-02556033, version 1

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Marjan Bozorg. Optimization of membrane process architecture. Chemical and Process Engineering. Université de Lorraine; Università degli studi di Roma "Tor Vergata" (1972-..), 2019. English. ⟨NNT : 2019LORR0252⟩. ⟨tel-02556033⟩

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