Nonlinear Operability of a Membrane Reactor for Direct Methane Aromatization

Process operability emerged in the last decades as a powerful tool for the design and control of chemical processes. Recent efforts in operability have been focused on the calculation of the desired input set for process design and intensification of natural gas utilization applications described by nonlinear models. However, there is still a gap in terms of problem dimensionality that nonlinear operability methods can handle. To fill this gap, in this article, the incorporation of bilevel and parallel programing approaches into classical process operability concepts is discussed. Results on the implementation of the proposed method show a reduction in computational time up to two orders of magnitude, when compared to the original results without parallelization. These results could be extrapolated for use in a supercomputer as presented in the computational time analysis performed. In terms of intensification, the proposed approach can produce a natural gas combined cycle plant modular design with a dramatic reduction in size, from the original 400 to 0.11 MW, while still keeping the high net plant efficiency. This approach thus provides a computationally efficient framework for process intensification of high-dimensional nonlinear energy systems toward modularity. The proposed approach also enables the verification of a modular design and conditions that can be obtained according to economic and physical constraints associated with a specific natural gas well production.

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“… Schematic of DMA‐MR with a cocurrent configuration (adapted from Ref. ). [Color figure can be viewed at http://wileyonlinelibrary.com]…”

Section: Process Operability Backgroundmentioning

confidence: 99%

Bilevel and parallel programing‐based operability approaches for process intensification and modularity

Carrasco

Lima

2018

AIChE Journal

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“…Additionally, for the shell side, a flow rate of sweep gas (

normalH normale

) of 10 [cm 3 /min], a total pressure of 1 [atm], and a diameter of 3 [cm] are assumed. Isothermal reactor operation at a temperature of 900°C due to the presence of a furnace is also considered . Also, the reaction rate constant units from the original source have been converted to a reactor volume basis by using the catalyst bed density in the packed bed reactor.…”

Section: Process Operability Backgroundmentioning

confidence: 99%

Novel operability‐based approach for process design and intensification: Application to a membrane reactor for direct methane aromatization

Carrasco

Lima

2016

AIChE Journal

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This article introduces a novel operability‐based approach for process design and intensification of energy systems described by nonlinear models. This approach is applied to a membrane reactor (MR) for the direct methane aromatization (DMA) conversion to benzene and hydrogen. The proposed method broadens the scope of the traditional path of the operability approaches for design and control, mainly oriented to obtain the achievable output set (AOS) from the available input set, and compare the computed AOS to a desired output set. In particular, an optimization algorithm based on nonlinear programming tools is formulated for the calculation of the desired input set that is feasible considering process constraints and intensification targets. Results on the application of the operability method as a tool for process intensification show reduction of the DMA‐MR footprint (≈77% reactor volume and 80% membrane area reduction) for an equivalent level of performance, when compared to the base case. This case study indicates that the novel approach can be a powerful tool for process intensification of membrane reactors and other complex chemical processes. © 2016 American Institute of Chemical Engineers AIChE J, 63: 975–983, 2017

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“…Other methods used for safety analysis or improved safety include: (a) sneak analysis to identify hazards by detecting paths through which unwanted material or energy is transferred between the process components, (b) hierarchical task analysis, which is a systematic qualitative technique of analyzing hazards associated with human errors, (c) hazardous human‐error analysis to identify hazards arising from human‐machinery interactions, (d) failure mode and effects analysis to identify hazards and predict their consequences, (e) alarm standards design, (f) Bayesian networks, (g) detection, isolation, and compensation of actuator faults, (h) shortcut risk assessment, and (i) human reliability analysis . Also, several analytical tools have been developed and used for operability analysis . Singular‐value decomposition has been applied for operability analysis to quantify controllability …”

Section: Introductionmentioning

confidence: 99%

Model‐predictive safety system for proactive detection of operation hazards

Ahooyi¹,

Soroush²,

Arbogast

et al. 2016

AIChE Journal

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A method of designing model-predictive safety systems that can detect operation hazards proactively is presented. Such a proactive safety system has two major components: a set of operability constraints and a robust state estimator. The safety system triggers alarm(s) in real time when the process is unable to satisfy an operability constraint over a receding time-horizon into the future. In other words, the system uses a process model to project the process operability status and to generate alarm signals indicating the presence of a present or future operation hazard. Unlike typical existing safety systems, it systematically accounts for nonlinearities and interactions among process variables to generate alarm signals; it provides alarm signals tied to unmeasurable, but detectable, state variables; and it generates alarm signals before an actual operation hazard occurs. The application and performance of the method are shown using a polymerization reactor example.

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Nonlinear Operability of a Membrane Reactor for Direct Methane Aromatization

Cited by 13 publications

References 8 publications

Bilevel and parallel programing‐based operability approaches for process intensification and modularity

Bilevel and parallel programing‐based operability approaches for process intensification and modularity

Novel operability‐based approach for process design and intensification: Application to a membrane reactor for direct methane aromatization

Model‐predictive safety system for proactive detection of operation hazards

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