Mesoporous Carbon-supported Cu/ZnO for Methanol Synthesis from Carbon Dioxide

Catalysts based on Cu/CuO–ZnO supported on mesoporous carbon (FDU-15) were synthesised and tested for methanol production from CO2 and H2. The catalytic activity was strongly dependent on the method by which the Cu and Zn components were loaded onto the carbon support. Three synthetic methods were trialled and the materials produced were characterised by various techniques. The materials with better contact between the Cu/CuO and ZnO particles were catalytically more active towards methanol production (CZC-3 > CZC-2 > CZC-1). The methanol production rate for CZC-3 (7.3 mmol g–1 h–1) was higher, on a catalyst weight basis, than that of a commercial catalyst (5.6 mmol g–1 h–1). Also, CZC-3 had a higher turnover frequency (1.8 × 10–2 s–1) than the commercial catalyst (0.2 × 10–2 s–1). This work demonstrates that Cu/CuO and ZnO particles supported on mesoporous carbon, prepared by an appropriate method, are promising catalysts for methanol synthesis from carbon dioxide.

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Carbon dioxide utilization in methanol synthesis plant: process modeling

Chemical Product and Process Modeling ◽

10.1515/cppm-2020-0038 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Fereshteh Samimi ◽

Mehrzad Feilizadeh ◽

Seyedeh Bahareh Najibi ◽

Mohammad Arjmand ◽

Mohammad Reza Rahimpour

Keyword(s):

Carbon Dioxide ◽

Methanol Synthesis ◽

Operating Conditions ◽

Inert Gases ◽

Great Promise ◽

Reactor Performance ◽

Methanol Production ◽

Carbon Dioxide Utilization ◽

Recycle Ratio ◽

Plant Process

AbstractThe conversion of CO2 to methanol holds great promise, as it offers a pathway to reduce CO2 level in the atmosphere and also produce valuable components. In this study, a typical methanol synthesis plant for CO2 conversion was numerically modeled. Effect of fresh feed to plant parameters (i.e., pressure and CO2 concentration) as well as the influence of recycle ratio on the reactor performance was investigated. Hence, all essential equipment, including compressor, mixer, heat exchanger, reactor, and liquid–vapor separator were considered in the model. Then, at the best operating conditions, thermal behavior and components distribution along the length and radius of the reactor were predicted. Finally, the effect of inert gases was investigated in the methanol production process and the results were compared with the conventional route (CR), which uses natural gas for methanol synthesis. The results revealed that in the absence of inert gases and by employing a recycle stream in the process, CO2 hydrogenation leads to 13 ton/day production of methanol more than CR. While in the feedstock containing 20% inert gases, which is closer to the realistic case, methanol production rate is 45 ton/day lower than CR. These findings prospect a promising approach for the production of green methanol from carbon dioxide and hydrogen.

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Effect of impurity on thermally self-sustained double reactor coupling hydrogen production from glycerol reforming and methanol production from carbon dioxide and hydrogen

E3S Web of Conferences ◽

10.1051/e3sconf/202015501004 ◽

2020 ◽

Vol 155 ◽

pp. 01004

Author(s):

Sasinun Thirabunjongcharoen ◽

Pattaraporn Kim-Lohsoontorn

Keyword(s):

Carbon Dioxide ◽

Hydrogen Production ◽

Gas Phase ◽

Methanol Synthesis ◽

Exothermic Reaction ◽

Biodiesel Production ◽

Feed Stream ◽

Glycerol Conversion ◽

Methanol Production ◽

Glycerol Reforming

Thermally self-sustained double reactor (TSSDR) operating without external heat source consists of dual channels for endothermic and exothermic reactions. Hydrogen (H2) is produced from wasted glycerol by aqueous-phase glycerol reforming (APGR) at 200-250 ºC and 20-25 bar while carbon dioxide (CO2) is a by-product. Produced H2 and CO2 are used as raw materials for methanol synthesis (MS) at 200-250 ºC and 50-80 bar. Methanol synthesis and glycerol reforming occur at inner and outer channels of TSSDR, respectively. The TSSDR is fully packed with catalyst. Generated heat of exothermic reaction is sufficient for endothermic reaction. Main products of glycerol reforming in gas phase are H2 and CO2 while CO and CH4 are by-products. All products in gas phase are totally recycled as a feed stream for exothermic channel. CO and CH4 in feed reduce CO2 conversion and methanol yield in MS. The effect of impurities in glycerol feed stream also influences with hydrogen production in APGR. Especially, methanol, which is an impurity in glycerol feed obtained from biodiesel production, significantly reduces glycerol conversion in TSSDR.

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Effect of starting salt on catalytic behaviour of Cu-ZrO2 catalysts in methanol synthesis from carbon dioxide

Catalysis Letters ◽

10.1007/bf00763938 ◽

1993 ◽

Vol 17 (1-2) ◽

pp. 157-165 ◽

Cited By ~ 31

Author(s):

Yuriko Nitta ◽

Tomohiro Fujimatsu ◽

Yasuaki Okamoto ◽

Toshinobu Imanaka

Keyword(s):

Carbon Dioxide ◽

Methanol Synthesis ◽

Catalytic Behaviour

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A Feasibility Study for Synthesis Gas Production by Considering Carbon Dioxide Capturing in an Industrial-Scale Methanol Synthesis Plant

Arabian Journal for Science and Engineering ◽

10.1007/s13369-015-1598-9 ◽

2015 ◽

Vol 40 (5) ◽

pp. 1255-1268 ◽

Cited By ~ 1

Author(s):

Mohsen Abbasi ◽

Mehdi Farniaei ◽

Mohammad Reza Rahimpour ◽

Alireza Shariati

Keyword(s):

Carbon Dioxide ◽

Feasibility Study ◽

Synthesis Gas ◽

Methanol Synthesis ◽

Gas Production ◽

Industrial Scale

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Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

Energies ◽

10.3390/en14133965 ◽

2021 ◽

Vol 14 (13) ◽

pp. 3965

Author(s):

Daniel Chuquin-Vasco ◽

Francis Parra ◽

Nelson Chuquin-Vasco ◽

Juan Chuquin-Vasco ◽

Vanesa Lo-Iacono-Ferreira

Keyword(s):

Carbon Dioxide ◽

Simulation Software ◽

P Value ◽

Methanol Production ◽

Marquardt Algorithm ◽

Carbon Dioxide Hydrogenation ◽

Global Regression ◽

Hidden Layer ◽

Global Mean ◽

Reactor Pressure

The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in the open-source simulation software “DWSIM”, from the validation of a process described in the literature. The sample consists of 133 data pairs with four inputs: reactor pressure and temperature, mass flow of carbon dioxide and hydrogen, and one output: flow of methanol. The ANN was designed using 12 neurons in the hidden layer and it was trained with the Levenberg–Marquardt algorithm. In the training, validation and testing phase, a global mean square (RMSE) value of 0.0085 and a global regression coefficient R of 0.9442 were obtained. The network was validated through an analysis of variance (ANOVA), where the p-value for all cases was greater than 0.05, which indicates that there are no significant differences between the observations and those predicted by the ANN. Therefore, the designed ANN can be used to predict the methanol flow at the exit of a dehydrogenation plant and later for the optimization of the system.

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Levulinic acid hydrogenation to γ-valerolactone over single Ru atoms on a TiO2@nitrogen doped carbon support

Green Chemistry ◽

10.1039/d0gc04108d ◽

2021 ◽

Author(s):

Kaili Zhang ◽

Qinglei Meng ◽

Haihong Wu ◽

Tongying Yuan ◽

Shitao Han ◽

...

Keyword(s):

Porous Carbon ◽

Levulinic Acid ◽

Room Temperature ◽

Carbon Support ◽

Complete Conversion ◽

Turnover Frequency ◽

Nitrogen Doped ◽

Nitrogen Doped Carbon

TiO2@nitrogen doped porous carbon dispersed single Ru atom catalyst (Ru/TiO2@CN) efficiently transforms levulinic acid into γ-valerolactone at room temperature in water with a turnover frequency of 278 molGVL molRu−1 h−1 at complete conversion.

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Chemical Recovery Processes of CO2

Ecology and Industry of Russia ◽

10.18412/1816-0395-2021-12-30-37 ◽

2021 ◽

Vol 25 (12) ◽

pp. 30-37

Author(s):

L.G. Pinaeva ◽

A.S. Noskov

Keyword(s):

Carbon Dioxide ◽

Synthesis Gas ◽

Methanol Synthesis ◽

Dimethyl Carbonate ◽

Chemical Recovery ◽

Target Product ◽

Stable Carbon ◽

Carbon Dioxide Conversion ◽

Recovery Processes ◽

Motor Fuels

Existing (production of urea, dimethyl carbonate, polypropylene carbonate) and promising (production of methanol, synthesis gas, monomers dedicated to synthesis of polyurethanes and polycarbonate) chemical technologies which any, time soon, may become CO2 based economy for producing motor fuels and basic chemicals have been overviewed. Based on estimates of CO2 removals in these processes, it has been concluded that there is a potential for developing technologies to produce methanol from CO2 to a competitive cost of the target product. It is expected that interest in this process will decrease if stable carbon dioxide conversion catalysts for methane are introduced into the market.

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