Optimization of Inlet Temperature of Methanol Synthesis Reactor of LURGI Type

Chen, Lei; Jiang, Qing; Song, Zhao

doi:10.4028/www.scientific.net/amr.443-444.671

Cited by 2 publications

(5 citation statements)

References 15 publications

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“…The Campos model, similar to the Bussche model, also considers the source of carbon from CO 2 . The four kinetic models were simulated and the validity of the simulations was tested on an industrial Lurgi-type reactor, located at the Tuha Oilfield Company. , The results of simulations along with the industrial data are demonstrated in Figure , and for the sake of clarity, the percentage errors are provided in Table . It can be seen that the Bussche model compared to the Graaf model is in a better agreement with the industrial plant data.…”

Section: Simulation Of Reaction Subunitsmentioning

confidence: 99%

Gasoline Synthesis from Biomass-Derived Syngas Comparing Different Methanol and Dimethyl Ether Pathways by Process Simulation, Based on the Bioliq Process

E-Moghaddam,

Dahmen,

Santo

et al. 2024

Energy Fuels

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In the bioliq process, biomass is converted to gasoline over four steps including pyrolysis, synthesis gas (syngas) generation via gasification, gas cleaning, and gasoline synthesis via dimethyl ether (DME). This work aims to investigate the gasoline synthesis plant of the bioliq process and also alternative process routes for the conversion of biomass-derived syngas to gasoline via methanol (MeOH) and DME pathways by process simulation in Aspen Plus, using a syngas composition adapted from the bioliq plant and enhanced with makeup H 2 . The simulations were established using kinetic models for MeOH, DME, and water−gas shift (WGS) synthesis based on selected models from the literature and component yield models for MeOH/DME to gasoline (MTG/ DTG) reactions based on product characteristics from known gasoline synthesis plants. The selected process routes were compared regarding product mass and energetic efficiencies and H 2 and CO 2 balances. The results showed that an optimized bioliq process, i.e., biofuel synthesis via direct DME synthesis with a WGS unit for makeup H 2 supply, is efficient in terms of syngas conversion and gasoline productivity, although it has a drawback concerning CO 2 generation. For this process, the mass and chemical energy efficiencies of gasoline based on syngas were calculated to be approximately 15 and 65%, respectively. Comparatively, for the similar process via the MeOH pathway, these efficiencies were found to be 11 and 50%, respectively. The CO and H 2 conversion rates for gasoline synthesis via DME were found to be about 77 and 64%, respectively, whereas via MeOH, they were obtained as ca. 48 and 28%, respectively. Additionally, the optimized process was scaled up for production of 100,000 tons/year gasoline and evaluated based on mass and chemical energy and CO 2 and element (hydrogen, carbon, and oxygen) balances. Here, the mass and chemical energy efficiencies of gasoline based on biomass feed were calculated to be 13 and 35%, respectively.

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Section: Simulation Of Reaction Subunitsmentioning

confidence: 99%

Gasoline Synthesis from Biomass-Derived Syngas Comparing Different Methanol and Dimethyl Ether Pathways by Process Simulation, Based on the Bioliq Process

E-Moghaddam,

Dahmen,

Santo

et al. 2024

Energy Fuels

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“…Two routes of methanol synthesis can be found in public literature, i.e., (1) CO 2 shifts to CO through RWGS, and then CO convert into CH 3 OH; (2) CO 2 convert into CH 3 OH through an intermediate HCOO [ 3 ]. Undergo the experimental research of many years, Skrzypel et al [ 54 ] and Vanden Bussche and Froment [ 55 ] confirmed that CO 2 is the main source of methanol synthesis, and CO and CO 2 can mutual converts through the RWGS reaction [ 2 , 9 ]. Two reactions occurring in the reactor are as follows [ 9 , 36 , 44 ]:

where

is the enthalpy of reaction

.…”

Section: Reactor Model and System Descriptionmentioning

confidence: 99%

“…In this paper, the kinetic model established by Vanden Bussche and Froment [ 44 ] is selected and utilized, since this kinetic model is based on the ICI 51-2 Cu/ZnO/Al 2 O 3 catalyst, which is applied widely in chemical industries, such as the LURGI type methanol synthesis reactor [ 9 ]. Another reason is that the kinetic model proposed by Reference [ 44 ] has been checked by experiments of lab-scale [ 44 , 55 ] and commercial-scale [ 9 ], what is more, the kinetic model has a wider application range. The temperature varies between 180 and 280 °C, the pressures varies between 15 and 51 bar in the experiment of Vanden Bussche and Froment [ 44 ].…”

Section: Reactor Model and System Descriptionmentioning

confidence: 99%

“…The temperature varies between 180 and 280 °C, the pressures varies between 15 and 51 bar in the experiment of Vanden Bussche and Froment [ 44 ]. The pressure from industrial data of LURGI type methanol synthesis reactor is 66.7 bar [ 9 ].…”

Section: Reactor Model and System Descriptionmentioning

confidence: 99%

“…However, the methanol synthesis via CO 2 hydrogenation reaction still has some problems to be solved, e.g., high energy-consumption, low conversion rate and poor selectivity [ 5 ]. So far the studies for MSCH mainly include: (1) developing new catalysts and establishing the corresponding kinetic models [ 6 , 7 , 8 ]; (2) improving the MSCH reaction process by modeling and simulation [ 9 , 10 , 11 , 12 ]; (3) studying the thermodynamic performance of the MSCH reaction based on classical thermodynamic theory [ 5 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Entropy Generation Rate Minimization for Methanol Synthesis via a CO2 Hydrogenation Reactor

Chen

Xia

et al. 2019

Entropy

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The methanol synthesis via CO2 hydrogenation (MSCH) reaction is a useful CO2 utilization strategy, and this synthesis path has also been widely applied commercially for many years. In this work the performance of a MSCH reactor with the minimum entropy generation rate (EGR) as the objective function is optimized by using finite time thermodynamic and optimal control theory. The exterior wall temperature (EWR) is taken as the control variable, and the fixed methanol yield and conservation equations are taken as the constraints in the optimization problem. Compared with the reference reactor with a constant EWR, the total EGR of the optimal reactor decreases by 20.5%, and the EGR caused by the heat transfer decreases by 68.8%. In the optimal reactor, the total EGRs mainly distribute in the first 30% reactor length, and the EGRs caused by the chemical reaction accounts for more than 84% of the total EGRs. The selectivity of CH3OH can be enhanced by increasing the inlet molar flow rate of CO, and the CO2 conversion rate can be enhanced by removing H2O from the reaction system. The results obtained herein are in favor of optimal designs of practical tubular MSCH reactors.

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Optimization of Inlet Temperature of Methanol Synthesis Reactor of LURGI Type

Cited by 2 publications

References 15 publications

Gasoline Synthesis from Biomass-Derived Syngas Comparing Different Methanol and Dimethyl Ether Pathways by Process Simulation, Based on the Bioliq Process

Gasoline Synthesis from Biomass-Derived Syngas Comparing Different Methanol and Dimethyl Ether Pathways by Process Simulation, Based on the Bioliq Process

Entropy Generation Rate Minimization for Methanol Synthesis via a CO2 Hydrogenation Reactor

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