A biomass gasification model was developed using Aspen Plus based on the Gibbs free energy minimization method. This model aims to predict and analyze the biomass gasification process using the blocks of the RGibbs reactor and the RYield reactor. The model was modified by the incomplete equilibrium of the RGibbs reactor to match the real processes that take place in a rice husk gasifier.

The model was verified and validated, and the effects of gasification temperature, gasification pressure, and equivalence ratio ER on the gas component composition, gas yield, and gasification efficiency were studied on the basis of the Aspen Plus simulation. An increasing gasification temperature was shown to be conducive to the concentrations of H2 and CO, and gas yield and gasification efficiency reached peaks of 2.

fluidized bed reactor in aspen plus

Pressurized conditions were conducive to the formation of CH4 and rapidly increased the calorific value of syngas as the gasification pressure increased from 0. In addition, the optimal ER for gasification is approximately 0.

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Currently, the depletion of fossil energy and the environmental problems, brought about by the high usage of fossil fuels during industrial development, has motivated a search for an ideal clean and renewable energy technology. As the fourth largest energy source in the world, behind only coal, oil, and natural gas, biomass is able to concentrate solar energy in a cheap and efficient way, to reduce greenhouse gases and other harmful gas emissions, and to easily be converted to conventional fuels.

Biomass gasification is a thermochemical process that can effectively convert biomass to chemical energy in the form of gas fuel. Rice husks are the largest part of the by-products left during rice processing. The annual output of rice husk in China reached about 32 million tons inwhich is the most in the world.

In the present work rice husk was selected as the raw material for the reasons that this material has a giant reserve and is available at low price. Furthermore, because of advantages such as lower investment costs, simple operation, and easy implementation in an auto-thermal conversion system, our developed model chooses air as a gasifying agent.

How To Simulate A Fluidised Bed Reactor On Hysys

The complexity and the variability of the gasification process results in a complex structure of the gasification device in the experiments. Meanwhile, the process is limited by the field test conditions and the gasification devices, through which it is difficult to entirely grasp the gasification characteristics.

However, the analysis and the prediction of the simulation method can effectively compensate for the inherent limitation in the experimental system. In recent years, the simulation of biomass gasification has been presented using Aspen Plus in various reactors and by obtaining a series of research findings. Mathieu and Dubuisson simulated sawdust gasification process with air using Aspen Plus in a fluidized bed reactor and analyzed the influence of air temperature, air oxygen content, and operating pressure on gasification.

Nikoo and Mahinpey constructed a biomass gasification model with Aspen Plus in a fluidized bed and discussed the effects of gasification temperature, equivalence ratio, partial average size, ER, and stream-to-biomass ratio on gasification results. However, because of the neglect of incomplete carbon conversion, there are some deviations between simulated and experimental results. The overall trend in the experimental and predicted results, however, was identical, demonstrating that the Aspen Plus software can be used for simulation of biomass gasification.

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Aspen Plus software can thus be applied to the simulation of agricultural waste gasification. In previous simulations, the Gibbs free energy reactor module often has been used to simulate biomass gasification. Considering thermodynamic equilibrium and ignoring the kinetic factors resulted in a greater deviation in the actual gas-solid two-phase diffusion from assuming ideal conditions in simulations.

By comparing the simulation and experimental results, we are able to verify the accuracy and reliability of gasification.

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The presented simulation model is credibly used to analyze the effects of gasification temperature, pressure, and equivalence ratio on the process.

After entering the high temperature fluidised bed gasifier, biomass firstly produces gas, char, and tar during pyrolysis. Then, in the dense-phase zone, char is subjected to a redox reaction, and tar undergos a second pyrolysis reaction. Finally, gas produced by gasification experiences a reforming reaction in the dilute-phase zone.These metrics are regularly updated to reflect usage leading up to the last few days.

Simulation of Coal Gasification Process using ASPEN PLUS

Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts. The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric. Find more information on the Altmetric Attention Score and how the score is calculated. Because there are physical and chemical phenomena interacting in the fluidized bed membrane reformer, two submodels seem necessary in the model.

These submodels are the hydrodynamic and reaction submodels. The hydrodynamic submodel is based on the dynamic two-phase model, and the reaction submodel is derived from the literature. The reformer is divided into two regions: a dense bed and freeboard. The dense bed is divided into several sections. At each section, the flow of the gas is considered as the plug flow through the membrane and bubble phases and perfectly mixed through the emulsion phase. The sets of the experimental data were used from the literature to validate the model.

Close agreement was observed between the model predictions and experimental data. View Author Information. Fax: Cite this: Energy Fuels216 Article Views Altmetric. Citations Cited By. This article is cited by 30 publications. DOI: Theodoros Papalas, Andy N. Antzaras, Angeliki A. Intensified steam methane reforming coupled with Ca-Ni looping in a dual fluidized bed reactor system: A conceptual design. Chemical Engineering Journal, Quantification of economic uncertainty for synthetic natural gas production in a H2O permeable membrane reactor as simultaneous power-to-gas and CO2 utilization technologies.

Energy, Solids process modeling in Aspen Plus supports rigorous descriptions of solids processing steps. With conceptual solids models, modeling solids processing equipment is more accessible to everyone.

Breakthrough solids modeling capabilities were introduced with V8. With V8. Conceptual models, the fluidized bed reactor model, and the spray dryer model were introduced in V8. A new contact dryer model and enhanced indirect drying in the convective dryer model were introduced in V8.

The fluidized bed in the V8. Get a better understanding of re-circulation rates and particle size distributions throughout the production process. Minimize loss of fines, recycle rates, and improve yields and selectivity.

Use rigorous and conceptual methods to model contact dyers, fluidized bed dryers, belt dryers, flash dryers, and more. See additional resources for tutorials.

Reduce capital and utility costs with high-fidelity models.

fluidized bed reactor in aspen plus

Simulate wet and dry grinding and milling with a widearray of crushers and mills. Lower emissions of fine particles and reducerecycle streams through the use of detailed solid-gas, solid-liquid, and solids classification models.

fluidized bed reactor in aspen plus

Use the spray dryer model in V8. Improve energy efficiency and performance. Use the granulation model to describe fluidized bed spray and high shear granulation and agglomeration. Manage coating and product purity effectively. Detailed, real world examples consisting of a step-by-step guide and corresponding example files help get users up to speed in minutes.

Tuesday, April 21, Thursday, April 23, Tuesday, April 28, Technology That Loves Complexity. Contact Us. Address the needs of both process engineering and particle science. Say goodbye to the learning curve. Achieve higher throughputs. Reduce energy costs. Avoid overdesign. Improve product quality. Model solids wherever they are used in processes. Take advantage of demos. Upcoming Events.November 27, Modeling reactors and their corresponding reactions is difficult by nature but can be rewarding if done correctly.

After defining process components, the user can choose a reaction type as listed in the HYSYS reaction section below. Unlike other simulation programs, HYSYS attempts to calculate all variables at all times which can be helpful or frustrating at times.

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The user can utilize the "hold" function in order to cease this process. Because simulation requires reaction characteristics, parameters, and other information, it is important to conduct background research appropriate to the reaction of interest before beginning the actual simulation. If theoretical or empirical data do not exist for the reaction, it may be difficult or impossible to conduct a computer simulation see Additional Options section below.

It follows that an increasing number of reaction byproducts requires an increasing amount of reaction data. Users should not be concerned if they cannot quantitatively specify or simulate all reaction by-products or outputs; in the end, a simulation as a process approximation and is inherently unable to model the process completely.

Of course, the phase of the reaction must be known; unfortunately, however, HYSYS does not support solid phase modeling and thus a different approach must be chosen AspenTech. When dealing with chemical reactions, knowing details about the reaction is key. The products and reactants should be known and any identifying properties known. Examples of the properties being referred to are the phase of the reaction, the interactions between molecules, and the effects of the reaction occurring.

In addition, any potential side reactions that can occur should be noted and the conditions under which they are more likely to occur should be identified.

HYSYS is able to simulate solids, liquids, and gases. When working exclusively with gases and liquids, there is little information required other than operating parameters. Using the fluid package specified and equilibrium data, HYSYS will determine the vapor and liquid fractions.

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When modelling solids, additional information is required. Because solids are more heterogeneous than liquids and gases, information such as the size of the particles used, chemical composition, and moisture content must be input into a simulation AspenTech.

There are numerous fluid packages to choose from in HYSYS, however most simulations can be accomplished with one of five fluid packages. If the system is entirely gases or non polar liquids, then Peng-Robinson will work well. If it contains electrolytes in the reaction, NRTL electrolyte will be effective at simulating the reaction. If the reaction contains polymers, the SAFT fluid package is able to account for the properties in the reaction Washington State University.

Before entering the simulation environment, certain steps must be taken to ensure that HYSYS is able to create a model that will be useful. A component list must be created, the reactions occurring, including unwanted reactions, should be noted, and the fluid package must be specified, and the type reaction to be simulated must be selected.Recommend Documents.

Aspen Plus simulation of steam-gasification of Mar 24, - Aspen Plus simulation of steam-gasification of different crude oils: A detailed comparison. Simulation of Coal Gasification process for CO Application of aspen plus for municipal solid waste plasma gasification Engineering Department, National Institute of Technology Aspen Plus was used for the simulation of the. Oxygen onolyzer.

Ash extroctor. U A s h hopper gos meter.

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Bog filter Stearns-Roger Corporation, P. Simulations of Holland, C. Fundamentals of Multicomponent Distillation. Furthermore, the model of pyrolysis was created using Aspen Plus software.

Aspects of pyrolysis Aspen Plus versionAspen Technology, Inc. Using Mathematica software for coal gasification simulations Sep 2, - Productioin and hosting by Elsevier B. Institute in Underground coal gasification Feb 21, - Underground coal gasification UCG : A new trend of supply-side economics of Introduction to Aspen Plus. Simulation of Steam Gasification of Coal with Coal gasification is the chemical processing of fossil fuels Novel Coal Gasification Process: Improvement ofProcess simulation is extremely beneficial to engineers, allowing them to further understand processes, identify process advantages and limitations, and provide quantitative process outputs and properties.

Modeling reactors and their corresponding reactions is difficult by nature but can be rewarding if done correctly. The HYSYS program allows the user to define reactions primarily based on desired model outputs and available information. After defining process components, the user can choose a reaction type as listed in the section below.

Unlike other simulation programs, HYSYS attempts to calculate all variables at all times which can be helpful or frustrating at times. The user can utilize the "hold" function in order to cease this process.

Because simulation requires reaction characteristics, parameters, and other information, it is important to conduct background research appropriate to the reaction of interest before beginning the actual simulation.

If theoretical or empirical data do not exist for the reaction, it may be difficult or impossible to conduct a computer simulation see Additional Options. It follows that an increasing number of reaction byproducts requires an increasing amount of reaction data. Users should not be concerned if they cannot quantitatively specify or simulate all reaction by-products or outputs; in the end, a simulation as a process approximation and is inherently unable to model the process completely.

Advanced simulation of biomass gasification in a fluidized bed reactor using ASPEN PLUS

Of course, the phase of the reaction must be known; unfortunately, however, HYSYS does not support solid phase modeling and thus a different approach must be chosen AspenTech. The fluidized bed reactor is a reactor in which the fluid from the bottom of the reactor keeps the solid catalysts suspended inside the reactor. This reactor has an advantage over traditional packed bed reactor because it has a better heat and mass transfer.

In industry, the fluidized bed reactor is most prominently used to produce products which cannot be efficiently manufactured using more commonly using more commonly used reactors Towler, A fluidized bed reactor is used to produce a variety of products. In fuel industry, a fluidized bed reactor is used to produce gasolines, propane, butane, and propylene Washington University, While these are some of the common uses of fluidized bed reactor, good mixing and energy efficient nature of the reactor allows a fluidized bed to be used in producing a less conventional fluidized bed reactor product such as photovoltaic cells.

REC Silicon uses fluidized bed to produce purified silicon for photovaltaic cells as shown in the picture Computational Particle Fluid Dynamics, Unlike the traditional method of covering seed rods with a superheated silicon gas, the method used by REC Silicon lets the seed granules to float inside a fluidized bed reactor.

Then, silane gas enters from the bottom and when it comes in contact with the seed granule, the gas breaks down and covers it with silicon.

Once enough silicon layer is sufficiently deposited, the larger and heavier granules exit the fluidized bed reactor. In order to manually design a fluidized bed reactor which would yield a useful information, myriads of parameters such as porosity at minimum fluidization, minimum fluidization velocity, bubble size, minimum fluidization velocity, velocity of bubble rise, fraction of the total bed occupied by bubbles, fraction of the bed consisting of wakes, volume of the catalyst in the bubbles, clouds and emulsion, mass transfer coefficient between bubble and cloud and additional information must be obtained experimentally Brown, For most purposes, such manual calculation is not only tedious but also has a great chance of yielding an incorrect result.

Furthermore, it does not have advanced reactors such as the fluidized bed reactor. Aspen Plus allows the users to handle solids and model a fulidized bed reactor AspenTech, While Aspen Plus allows the simulation to yield as realistic result as possible, the general heuristic is that the catalyst particle sizes should be generally less than a micro-meter Towler, Also, the fluid of the reactants entering the reactor from the bottom should be above the minimum fluidization velocity of the particle, which is the minimum linear velocity of the reactant to keep the solid particles in the air Brown, Furthermore, the simulation may not correctly reflect what really happens in the reactor.

For example, Aspen Plus requires an entering and exiting streams of solid particles in the simulation AspenTech, However, in a real fluidized bed reactor, a fixed amount of catalyst is put into the reactor and kept from leaving the reactor by controlling the fluidization velocity.

The catalysts are switched when their life cycle is done and this switching of catalyst could be modeled as a continuous flow of solid particles.

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However, it is important to note that what is on the flow sheet of the simulation may not be a correct representation of the real system. When dealing with chemical reactions, knowing details about the reaction is key. The products and reactants should be known and any identifying properties known. Examples of the properties being referred to are the phase of the reaction, the interactions between molecules, and the effects of the reaction occurring.

In addition, any potential side reactions that can occur should be noted and the conditions under which they are more likely to occur should be identified. HYSYS is able to simulate solids, liquids, and gases. When working exclusively with gases and liquids, there is little information required other than operating parameters. Using the fluid package specified and equilibrium data, HYSYS will determine the vapor and liquid fractions.Best dog drying machine for canines and different creatures.

In contrast to plastic dryers, they won't liquefy or split. Post a Comment. November 29, This reactor has an advantage over traditional packed bed reactor because it has a better heat and mass transfer.

fluidized bed reactor in aspen plus

In industry, the fluidized bed reactor is most prominently used to produce products which cannot be efficiently manufactured using more commonly using more commonly used reactors Towler, A fluidized bed reactor is used to produce a variety of products. In the fuel industry, a fluidized bed reactor is used to produce gasoline, propane, butane, and propylene Washington University, While these are some of the common uses of fluidized bed reactor, good mixing, and energy efficient nature of the reactor allows a fluidized bed to be used in producing a less conventional fluidized bed reactor product such as photovoltaic cells.

REC Silicon uses a fluidized bed to produce purified silicon for photovoltaic cells as shown in the picture Computational Particle Fluid Dynamics, Unlike the traditional method of covering seed rods with a superheated silicon gas, the method used by REC Silicon lets the seed granules to float inside a fluidized bed reactor. Then, silane gas enters from the bottom and when it comes in contact with the seed granule, the gas breaks down and covers it with silicon.

Once enough silicon layer is sufficiently deposited, the larger and heavier granules exit the fluidized bed reactor.

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In order to manually design a fluidized bed reactor which would yield a useful information, myriads of parameters such as porosity at minimum fluidization, minimum fluidization velocity, bubble size, minimum fluidization velocity, velocity of bubble rise, fraction of the total bed occupied by bubbles, fraction of the bed consisting of wakes, volume of the catalyst in the bubbles, clouds and emulsion, mass transfer coefficient between bubble and cloud and additional information must be obtained experimentally Brown, For most purposes, such manual calculation is not only tedious but also has a great chance of yielding an incorrect result.

Furthermore, it does not have advanced reactors such as the fluidized bed reactor. Aspen Plus allows the users to handle solids and model a fluidized bed reactor AspenTech, While Aspen Plus allows the simulation to yield as realistic result as possible, the general heuristic is that the catalyst particle sizes should be generally less than a micrometer Towler, Also, the fluid of the reactants entering the reactor from the bottom should be above the minimum fluidization velocity of the particle, which is the minimum linear velocity of the reactant to keep the solid particles in the air Brown, Furthermore, the simulation may not correctly reflect what really happens in the reactor.

For example, Aspen Plus requires an entering and exiting streams of solid particles in the simulation AspenTech, However, in a real fluidized bed reactor, a fixed amount of catalyst is put into the reactor and kept from leaving the reactor by controlling the fluidization velocity. The catalysts are switched when their life cycle is done and this switching of catalyst could be modeled as a continuous flow of solid particles. However, it is important to note that what is on the flow sheet of the simulation may not be a correct representation of the real system.

Fluidized bed reactor simulations require a lot of equations and parameters. However, the following design equations are the core equations. In the equations, Kb, Ke, and Kc are the rate constants in bubble, emulsion, and cloud phases respectively. Similarly, Kbc, Kce are mass transfer coefficients between bubble and cloud and cloud and emulsion. Lastly, the three concentrations are the concentration of the species A in three phases. In a fluidized bed simulation, more equations are used to calculate a more detailed result, but these are the most basic and important equations when designing a fluidized bed reactor University of Michigan, In terms of its setup, the fluidized bed reactor simulation in Aspen Plus is similar to those of the other types of reactors in Aspen HYSYS, but different in a sense that information about solid needs to be specified.

As the initial step, the units and the components which exist in the system should be set and the property method which is similar to the fluid packages of Aspen HYSYS must be selected to closely model the solids in the actual system. Once all the specification is made, then the input and output streams of the reactants and products must be connected to the bottom and top of the reactor respectively.