Carbon dioxide utilization in methanol synthesis plant: process modeling

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.

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

2014 ◽  
Vol 67 (6) ◽  
pp. 907 ◽  
Author(s):  
Huamei Duan ◽  
Yunxia Yang ◽  
Ranjeet Singh ◽  
Ken Chiang ◽  
Steven Wang ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Methanol Synthesis ◽  
Mesoporous Carbon ◽  
Carbon Support ◽  
Weight Basis ◽  
Synthetic Methods ◽  
Turnover Frequency ◽  
Commercial Catalyst ◽  
Methanol Production ◽  
Zno Particles

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.

scholarly journals Process Configuration Studies of Methanol Production via Carbon Dioxide Hydrogenation: Process Simulation-Based Optimization Using Artificial Neural Networks

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6608
Author(s):  
Prapatsorn Borisut ◽  
Aroonsri Nuchitprasittichai
Keyword(s):  
Neural Network ◽  
Carbon Dioxide ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Artificial Neural Networks ◽  
Production Cost ◽  
Operating Conditions ◽  
Price Sensitivity ◽  
Methanol Production ◽  
Artificial Neural

Methanol production via carbon dioxide (CO2) hydrogenation is a green chemical process, which can reduce CO2 emission. The operating conditions for minimum methanol production cost of three configurations were investigated in this work. An artificial neural network with Latin hypercube sampling technique was applied to construct model-represented methanol production. Price sensitivity was performed to study the impacts of the raw materials price on methanol production cost. Price sensitivity results showed that the hydrogen price has a large impact on the methanol production cost. In mathematical modeling using feedforward artificial neural networks, four different numbers of nodes were used to train artificial neural networks. The artificial neural network with eight numbers of nodes showed the most suitable configuration, which yielded the lowest percent error between the actual and predicted methanol production cost. The optimization results showed that the recommended process design among the three studied configurations was the process of methanol production with two reactors in series. The minimum methanol production cost obtained from this configuration was $888.85 per ton produced methanol, which was the lowest methanol production cost among all configurations.

A New Integrated Ocean Thermal Energy Conversion-Based Trigeneration System for Sustainable Communities

2019 ◽  
Vol 142 (6) ◽  
Author(s):  
A. Hasan ◽  
I. Dincer
Keyword(s):  
Carbon Dioxide ◽  
Energy Conversion ◽  
Thermal Energy ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Methanol Production ◽  
Ocean Thermal Energy Conversion ◽  
Thermal Energy Conversion ◽  
Ocean Thermal Energy ◽  
Exchange Membrane

Abstract One of the main solutions to climate change is to harness energy from renewable and clean resources. A novel ocean thermal energy conversion (OTEC) system is proposed for the production of methanol; cooling and power is developed and energetically analyzed. In this proposed trigeneration system, a two-stage Rankine cycle that operates on the inherent temperature difference along the depth of the ocean is used for power production, along with an electrolytic cation exchange membrane (ECEM) reactor for carbon dioxide and hydrogen production to feed the methanol production system. The carbon dioxide is sourced from the deep cold seawater, where the concentrations are found to be the highest. The proposed system performance is modeled and simulated on the Aspen Plus, where the performance of the proposed system is assessed under various operating conditions. The results of this study shows that the maximum net power output of the cycle is found to be 51.5 GW, with a fixed rate of district cooling of 69.0 GW. The maximum methanol production rate was found to be 1.36 kg/s at the power input of 51.5 GW. The system is tested under three different operation cases, to fully assess its viability. It should be noted that in all three cases district cooling is included as a product of the system. Case 1: ECEM reactor operates at its current efficiency with fuel production, Case 2: ECEM reactor operates at proton exchange membrane (PEM) efficiency, and Case 3: Only power was produced with no fuel. The maximum overall energy efficiency of the cycle was found to be 8.0, 8.6, and 7.3% for Cases 1, 2, and 3, respectively.

scholarly journals Dynamic optimization of methanol synthesis section in the dual type configuration to increase methanol production

2019 ◽  
Vol 74 ◽  
pp. 90
Author(s):  
Samane Masoudi ◽  
Mohammad Farsi ◽  
Mohammad Reza Rahimpour
Keyword(s):  
Dynamic Optimization ◽  
Methanol Synthesis ◽  
Catalyst Deactivation ◽  
Dynamic Condition ◽  
Production Capacity ◽  
Operating Conditions ◽  
Second Step ◽  
Methanol Production ◽  
Equilibrium Conversion ◽  
Plant Data

The main object of this research is dynamic modeling and optimization of the methanol synthesis section in the dual type configuration considering catalyst deactivation to improve methanol production capacity. In the methanol unit, deactivation of CuO/ZnO/Al2O3 catalyst by sintering and low equilibrium conversion of reactions limit the production capacity, and changing operating temperature is a practical solution to overcome the production decay. In the first step, the considered process is modeled based on the mass and energy balance equations at dynamic condition. To prove the accuracy of developed model, the simulation results are compared with the plant data at the same operating conditions. In the second step, a dynamic optimization problem is formulated, and the optimal trajectories of manipulated variables are determined considering methanol production rate as the objective function. Finally, the performance of optimized process is compared with the conventional system at the same design conditions. The results show that operating at the optimal conditions increases methanol production capacity about 6.45%.

Assessing the effect of light intensity and light wavelength spectra on the photoreduction of formic acid using a graphene oxide material

2020 ◽  
Vol 18 (8) ◽  
Author(s):  
Luis A. Ramos-Huerta ◽  
Lotte Laureys ◽  
Alexis G. Llanos ◽  
Patricio J. Valadés ◽  
Richard S. Ruiz ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Graphene Oxide ◽  
Light Intensity ◽  
Formic Acid ◽  
Reaction Rates ◽  
Operating Conditions ◽  
Initial Reaction ◽  
Oxide Material ◽  
Methanol Production ◽  
Effect Of Light

AbstractPhotocatalysis has been a topic of interest in recent years for both, oxidation and reduction reactions, and although there is a broad variety of research regarding photocatalytic materials and the reaction itself, studies on reactor design and related phenomena, radiation transfer and its direct impact on reaction extent specifically, are usually neglected. From this end, the present work focuses on the elucidation of the effect of light intensity and wavelength spectra in the visible light region during the photoreduction reaction of formic acid using graphene oxide as a promising catalyst. By using formic acid, one of the main intermediaries in the photoreduction of carbon dioxide, the possibility of methanol production is evaluated without the thermodynamic constraints presented by carbon dioxide. A graphene oxide material, synthetized through a modified Hummer’s method, is assessed for the reduction of formic acid evaluating four different light sources (red, green, blue and white). An analysis of energy balances in the reaction set-up allows the determination of both the energy absorbed by the GO photocatalyst and isoactinity conditions at studied radiative operating conditions. At an isoactinity environment, the adsorption rate of formic acid and production rate of methanol are then evaluated, relating them to the absorbed energy achieved at the wavelength spectra and light intensities evaluated; IR spectroscopy is utilized to follow formic acid concentration as well as methanol production. The largest initial reaction rate (ca. 57%) relates to the use of the red wavelength at its largest intensity. Reaction rates at larger times start to be apparent being affected by adsorption, reaction and radiation conditions. The maximum conversion, 14%, is attained by using the white wavelength spectra at its lowest intensity. Thus, higher intensities will not necessarily yield higher conversions, nor the highest reaction rates. This, in turn, poses the necessity of quick, reliable assessments for whichever catalyst used in this type of reactions that leads to the correct election of operating conditions that maximize the product yield. Independent evaluation for every wavelength within the visible spectra and assessing carbon dioxide photoreduction are future steps into the elucidation of solar fuel production feasibility.

scholarly journals Carbon dioxide utilization and circular economy: The world, Russia and the Arctic

2021 ◽  
Vol 24 (4-2021) ◽  
pp. 42-55
Author(s):  
Ekaterina A. Kuznetsova ◽  
◽  
Alina A. Cherepovitsyna ◽  
Keyword(s):  
Carbon Dioxide ◽  
Circular Economy ◽  
Carbon Capture ◽  
The Arctic ◽  
Emission Mitigation ◽  
Methanol Production ◽  
Carbon Dioxide Utilization ◽  
Industrial Complexes ◽  
Greenhouse Emission ◽  
Sustainability Challenges

Sustainable development of regions, territories, and industrial complexes is becoming increasingly important in the context of global environmental challenges. The practical realization of the sustainability challenges depends more on the implementation of specific technologies, including greenhouse emission mitigation technologies. Today, the development and scaling out of CC(U)S (carbon capture, utilization and storage) technologies seems to be one of the most realistic ways to reduce CO2 emissions. The role of CO2 is changing in the context of circular economy principles, it is no longer considered as industrial waste, but as a valuable resource. The aim of this paper is to analyze and assess the prospects for carbon dioxide utilization, as well as the cost-effectiveness of CC(U)S initiatives (using the example of a CO2-based methanol production project in Iceland) in order to explore the prerequisites and opportunities for the development of such projects in the Arctic. In order to assess the spread of technology worldwide, an analysis of foreign experience in implementing such initiatives is presented, as well as the main promising ways of carbon dioxide utilization and their key features are identified. The economic efficiency of the CO2-based methanol production project (by the example of a commercial project in Iceland) is substantiated. A general vision of the prerequisites and opportunities for the implementation of CC(U)S initiatives in the Arctic regions is presented.

scholarly journals Methanol Production from Pyrolysis Oil Gasification—Model Development and Impacts of Operating Conditions

2020 ◽  
Vol 10 (20) ◽  
pp. 7371
Author(s):  
Zhihai Zhang ◽  
Benoit Delcroix ◽  
Olivier Rezazgui ◽  
Patrice Mangin
Keyword(s):  
Methanol Synthesis ◽  
Process Model ◽  
High Pressures ◽  
Model Development ◽  
Operating Conditions ◽  
Production Yield ◽  
Operating Pressure ◽  
Pyrolysis Oil ◽  
Methanol Production ◽  
Operational Risks

A novel process model simulating methanol production through pyrolysis oil gasification was developed, validated, then used to predict the effect of operating conditions on methanol production yield. The model comprised gasification, syngas post-treatment, and methanol synthesis units. The model was validated using experimental data from the literature, and the results obtained by the model were consistent with reference data. The simulation results revealed that gasification temperature has a significant impact on syngas composition. Indeed, rising temperature from 400 °C to 600 °C leads to higher syngas stoichiometric number (SN) value. Conversely, SN value decreases when the gasifier temperature is above 1000 °C. Moisture content in pyrolysis oil also affects both syngas composition and SN value; an increase in the first (from 10 to 30%) leads to an increase in SN value. The Rectisol unit deeply influences the syngas SN value and methanol yield, the best results being obtained with operating conditions of −20 °C and 40 bar. Increasing the operating temperature of the methanol synthesis unit from 150 °C to 250 °C leads to an increase in the yield of methanol production; the yield decreases beyond 250 °C. Although high pressures favor the methanol production yield, the operating pressure in the synthesis unit is limited at 50 bar for practical considerations (e.g., equipment price, equipment requirements, or operational risks).

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

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.

Alternative carbon dioxide utilization in dimethyl carbonate synthesis and comparison with current technologies

2021 ◽  
Vol 45 ◽  
pp. 101436
Author(s):  
J.D. Medrano-García ◽  
J. Javaloyes-Antón ◽  
D. Vázquez ◽  
R. Ruiz-Femenia ◽  
J.A. Caballero
Keyword(s):  
Carbon Dioxide ◽  
Dimethyl Carbonate ◽  
Carbon Dioxide Utilization
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