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Hello everyone,
There are some problems in the operation of the alkylation unit that require a controlled shutdown of the unit, i.e. acid cleaning by circulating isobutane. When the aforementioned procedure was performed, the acid was not pushed up from the contactor to the settler. Why is this happening?
Thanks in advance,
Tihomir Kovacevic
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Since the reaction is highly exothermic, it can be risky. explosion reaction, may not stop reaction.
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I am currently working on my final year project titled "Design and Computational Study of a Radial Flow Reactor for Ammonia Synthesis." I have modeled the reactor in ANSYS Fluent (v2020) using a multiphase Eulerian model with iron catalyst as the solid phase and a gas mixture of N₂, H₂, NH₃, CH₄, and Ar.
I have written a UDF using DEFINE_VR_RATE to implement the detailed thermodynamics and kinetics for ammonia formation. The UDF compiles successfully, but when I run the simulation:
  • The outlet mole fractions remain almost the same as the inlet
  • The reaction appears to have no effect
  • Even after assigning the reaction and enabling all relevant models, I get no conversion
  • I suspect the issue may be in:
  • Incorrect hooking of the UDF (though it appears in the Fluent GUI)
  • Simulation settings (transient, 200k time steps with 1e-4s time step size)
  • Solid volume fraction patching
  • UDF returning zero rate due to tight activity checks
Here’s a quick summary of my setup:
  • Geometry: 6.096 m height, 2.1336 m width (vertical flow)
  • Models: Multiphase (Eulerian), species transport, volumetric reaction, energy equation, k-epsilon
  • Solid volume fraction: patched as 0.54
  • Operating pressure: 152 bar
  • Reaction mechanism defined in Fluent
  • UDF compiled and reaction hooked (DEFINE_VR_RATE)
  • Reaction zone assigned to gas phase
If anyone has faced a similar issue or can suggest what to check or fix, I would be very grateful. I am sharing the UDF code too.
Thank you in advance!
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Please share the case file. Let me have a look first before suggesting anything
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We are feeding argon in a dielectric barrier discharge (DBD) reactor subjected to nanopulses with the parameters indicated in the attached figure. Is it possible to conclusively determine if there is plasma generation in the reactor by just looking at the V and I data produced by the oscilloscope? If not, what else would be required to confirm this?
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I think you should also provide the details, like between what ends the measurement is taken, also what is the shape of the input pulse,e etc?
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Has climate change affected the formation of sulfate through the oxidation of copper SO2 by NO2 at aerosol levels? If so, in which regions? Is there a way to prevent it? What are the effects of humans and greenhouse gases?
Severe urban air pollution in China is driven by a synergistic conversion of SO2, NOx, and NH3 into fine particulate matter (PM2.5). Field studies indicated NO2 as an important oxidizer to SO2 in polluted atmospheres with low photochemical reactivity, but this rapid reaction cannot be explained by the aqueous reactive nitrogen chemistry in acidic urban aerosols. Here, using an aerosol optical tweezer and Raman spectroscopy, we show that the multiphase SO2 oxidation by NO2 is accelerated for twoorder-of-magnitude by a copper catalyst. This reaction occurs on aerosol surfaces, is independent of pH between 3 and 5, and produces sulfate by a rate of up to 10 µg m-3 air hr-1 when reactive copper reaches a millimolar concentration in aerosol water – typical of severe haze events in North China Plain. Since copper and NO2 are companion emitters in air pollution, they can act synergistically in converting SO2 into sulfate in China’s haze.Air pollution is a persistent problem in developing countries, such as China and other emerging economies experiencing rapid industrialization1–3 . Among the pollutants, the principal culprit is fine particulate matter (PM2.5), the airborne particles that can penetrate into human lungs, leading to premature deathsfrom cardiovascular and respiratory diseases and lung cancer4,5 . To mitigate PM2.5 and its public health impacts, the Chinese government renewed its air-quality policies in 2021, aiming for a 10% reduction of urban PM2.5 concentration by 20256 . Achieving this objective requires a clear understanding of the atmospheric chemistry producing PM2.5 in urban haze. China’s haze differs from London fog or Los Angeles smog in several ways. First, gas pollutants coexist at high concentrations3,7–9 , including SO2, NOx (NO and NO2), and NH3, emitted from industry, traffic, and agriculture10–12. These gases convert synergistically into PM2.5 through atmospheric multiphase reactions3,7–9 . Second, the multiphase reactions occur rapidly, much faster than what aqueous chemistry predicts8,13–15. Such rapid kinetics may result from many factors, including enhanced chemical reactivities at the air-water interface14,16,17, the catalytic effects of transition metal ions (TMI)13,18, or the salt effects in the oversaturated aerosol water15,19 – or all these factors acting simultaneously. Recognizing these characteristics, scientists coined the term haze chemistry to describe how PM2.5 is formed during the severe urban air pollution in China3,7–9,20. A decade-long debate in haze chemistry research concerns whether NO2 can effectively oxidize SO2 into sulfate, thereby contributing to PM2.5 formation. Why is NO2 considered an oxidizer of SO2? First, this redox reaction can occur in the atmospheric environments; NO2 can oxidize SO2 on the surfaces of primary particles (i.e., soot21 and dust9 ) and, more prevalently, in aerosol water7,22–24:2NO2 aq ð Þ þ HSO 3 aq ð Þ þ H2O ! Hþ ð Þ aq þ 2HONOð Þ aq þ SO2 4 aq ð Þ
Reaction Additionally, NO2 is abundant in the urban haze, especially when photochemical oxidizers such as O3, H2O2, and OH are inhibited in the polluted troposphere dimmed by haze8 or at night25. Field campaigns in China8,26,27 showed that sulfate and NO2 concentrations are positively correlated. A Beijing campaign25 found that the HONO produced by Reaction 1 can even further oxidize SO2. An air-quality model8 predicted that, at pH 5.8, the reaction between HSO 3 and NO2 (hereafter, the HSO 3 /NO2 reaction, and so forth) would produce sulfate by a rate of 10 µg m−3 air hr−1 . A laboratory study14 found that, at pH 6, a SO2 3 /NO2 reaction would produce sulfate by 90 µg m−3 air hr−1 .These studies suggested that sulfate PM2.5 in China’s haze was produced mainly through the NO2 reaction pathway. Yet equally compelling evidence indicates that NO2 contributed to SO2 oxidation negligibly. Although Reaction 1 can occur in the aqueous phase, it is unlikely to occur through a direct electron transfer, because the redox potentials between aqueous HSO 3 and NO2 are close28,29. The reaction instead occurs through the formation of [NO2-SO3] 2- adducts, which decompose to SO 3 radicals slowly28. This kinetic constraint rules out a rapid sulfate formation through Reaction 1. Additionally, the average pH of urban aerosols in China30 is approximately 4, which is more acidic than what previous studies have assumed8 . At acidic conditions, SO2 has limited solubility, leaving too few S(IV) ions (HSO 3 and SO2 3 ) to facilitate a rapid sulfate formation13,31. At pH 4, the sulfate formation rate via HSO 3 /NO2 8 and SO2 3 /NO2 14 reactions are respectively 0.04 and 0.15 µg m−3 air hr−1 . Recent air-quality models13,32 showed that the HSO 3 /NO2 reaction contributed approximately 0.1% of sulfate13; the SO2 3 /NO2 reaction, approximately 0.4%32. A source apportion study31 showed that the NO2 reaction pathway contributed at most 1% of sulfate in China haze. A recent globalscale study33 found that the NO2 reaction pathway is unimportant unless aerosol pH is above 5, a condition rarely met worldwide. These disagreements8,25–30,33 indicate a knowledge gap regarding how sulfate is produced in urban air pollution. Why does it matter whether NO2 contributes to sulfate formation? If so, then both SO2 and NO2 would be sulfate precursors, and effective abatement would require closer coordination between the industry and transportation sectors3,7–11. Bridging this knowledge gap requires us to answer the following question: Can the multiphase SO2 oxidation by NO2 occur rapidly at acidic conditions? Here, we show that NO2 can oxidize SO2 into sulfate rapidly at acidic conditions when the reaction is catalyzed by copper (hereafter, Cu). Cu, albeit a transition metal, is a weak catalystfor S(IV) oxidation by O2 34. But Cu is a strong catalyst for NO2 reduction by S(IV) in flue gas de-nitrification35,36. Additionally, Cu is ubiquitous in urban air pollution37. A field campaign38 reported that Cu elements were on the orders of hundreds of ng m−3 air during the air pollution in North China Plain (NCP). In Beijing, Cu mainly originates from traffic emissions, i.e., brake and tire wear39; in the broader NCP region, Cu mainly originates from coal combustions39. On the other hand, NO2 originates from both industrial and traffic emissions11,12, and its concentration can reach 40-to-80 ppb during heavy air pollution in NCP8 . In other words, Cu and NO2 are companion emitters, and they may synergistically convert SO2 into sulfate during urban haze. Furthermore, we show that the kinetics of the ternary Cu/SO2/NO2 reaction depends more sensitively on NO2 concentration, rather than on SO2 concentration. This may explain why, over the past decade, a substantial decrease in SO2 emission has not led to a proportional decrease in sulfate concentration in China. Results Method summary We studied the Cu-catalyzed reaction with Raman micro-spectrometry (hereafter, micro-Raman) and an aerosol optical tweezer (hereafter, AOT). The micro-Raman experiments provided information on the reaction mechanism, including the reaction products, the catalytic effect of Cu(II) ions, and kinetic dependence on droplet size (radius 5–30 µm) and acidity (pH 3–5). The AOT experiments provided kinetic data for the reactions in levitated droplets, under conditions closely mimicking urban air pollutions, such as droplet solute ((NH4)2SO4), acidity (pH 4), relative humidity (RH 60%), and reactant gases mixing ratio (SO2, 5–200 ppb; NO2, 50–500 ppb), and reaction time (hours). We designed these experiments based on literature values of aerosol pH13,30, gas concentrations8 , and RH conditions14. Specifically, the ranges of these parameters encompass their average values during severe pollution events in Beijing (i.e., pH 4, SO2 40 ppb, NO2 66 ppb). Refer to the Methods section for details. Copper-catalyzed SO2 oxidation by NO2 Figure 1A shows the Raman spectra of microdroplets, which served as reactors for the oxidation of SO2 (500 ppb) by NO2 (500 ppb). Droplet pH was buffered at approximately 4 with 400 ppb NH3 40. Ambient RH was approximately 80%. The left panel represents the reaction catalyzed by Cu(II) ions in the microdroplet seeded with a mixture of NH4Cl/HCl/CuCl2 (1:0.005:0.001). Here, the Raman spectrum exhibits a peak around 980 cm−1 , indicating SO2 4 formation (See Figure S1 for the full spectrum). This catalyzed reaction produced approximately 0.4 M sulfate in 240 min. Contrastingly, the right panel represents the uncatalyzed reaction in the microdroplet seeded with NH4Cl/HCl (1:0.005). This uncatalyzed reaction was too slow to be measured with the micro-Raman. In Figure S2, the AOT data shows that the reaction catalyzed by 0.1% Cu-in-solute was faster than the uncatalyzed reaction by two orders of magnitude. In both cases, the reaction did not produce NO 3 , which would exhibit a Raman peak at 1050 cm−3 . In other words, NO2 served only as an oxidizer of SO2 and did not undergo disproportionation at our experimental conditions. Figure S3 shows another control experiment, where NO2 was not applied, and no sulfate was produced within 240 min. Figure 1B–D show the kinetic dependence on droplet size and acidity. These experiments were conducted in NH4Cl/HCl/CuCl2 droplets (1:0.005:0.001), with a radius (hereafter, a) between 5 and 30 µm. Other conditions were 500 ppb SO2, 500 ppb NO2, 40-to-4000 ppb NH3, and 80% RH. Figure 1B shows that the reaction is faster in smaller droplets. Specifically, the SO2 4 formation rate, d SO2 4=dt, (unit: M s−1 ) is inversely proportional to droplet radius, a (See the dotted line in Fig.1C). This relationship indicates that the reaction rate is proportional to the droplet surface-area-to-volume ratio, such as A=V: Hereafter, we will normalize kinetic data as below:Droplet ambient conditions. The aerosolized droplets, led by an N2 flow, were then delivered to the optical trap inside the sample cell of the AOT system. This sampling process was considered successful when one of the droplets was captured by the optical trap. At this stage, the composition of the droplet is highly sensitive to the ambient gas phase, which should be maintained at stable conditions throughout the measurement. Specifically, the relative humidity (RH, 60 ± 1%) in the cell was controlled by mixing dry and humidified N2 gases. The RH was monitored with a hygrometer (CENTER-313, Qunte Technology Co., LTD). The temperature was maintained at room temperature (298 K) Reactant gases flowed through the sample cell with a prescribed mixing ratio. When investigating the Cu-catalyzed reaction, we applied the reaction gases per the following arrangements: SO2 was at 5, 10, 15, 25, 40, 50, 75, 100, 150, or 200 ppb; NO2 was at 50, 100, 250, or 500 ppb; NH3 was at 50, 100, 200, 400, or 800 ppb to buffer the (NH4)2SO4/NH4HSO4 droplets at pH 2.8, 3.1, 3.4, 3.7, or 4.0, respectively. When investigating the uncatalyzed reaction, we applied the gases per the following arrangements: SO2was at 0.1, 0.25, 0.5, 0.8, 1.0, 1.5, 2.0, 3.0, 5.0, 7.5, 10.0, or 20.0 ppm; NO2 was at 10 ppm; NH3 was at 0.8 or 8.0 ppm to buffer the droplets at pH 4.0 or 5.0 conditions, respectively. The detailed experimental conditions for the AOT study can be found in Table S7. Droplet pH was calculated with E-AIM40. Raman spectral data collection and analyzes. The backscattered Raman signal was collected with a time resolution of one second. During the reaction, the SO2 was continuously converted into SO2 4 , causing a continuous increase in droplet radius, a. Such droplet growth, albeit slight in magnitude, can be precisely determined by observing the redshift of the whispering gallery mode (WGM) in the stimulated Raman spectra. At each time step, t, we inverted the WGM wavelength λ to droplet size a, by using the Mie-scattering calculation algorithm provided in ref. 47. Next, the increase in droplet volume dV, during a time interval dt, can be quantified as: dV ¼ 4πa2 t atþdt a EquationS1Þ This increase in volume was contributed by the (NH4)2SO4 produced by the reaction, and the corresponding increase in the mole of (NH4)2SO4 is therefore: dn ¼ ðNH4Þ2SO4 dV ðEquationS2Þ Here, ðNH4Þ2SO4 is the molar concentration at an approximately 60% RH condition, calculated with E-AIM40. In summary, the reaction rate can be calculated from droplet growth rate per the following relationships: dn dt mols2 0da dt × L 1015μm3 ðEquationS3Þ and R mols1 μm1L 1015μm3 ðEquationS4Þ Here, a0 is the initial radius of droplets (unit, µm). The droplet growth rate da=dt (unit, µm s−1 ) was determined by linearly fitting the aðtÞ dataset. It is worth noting that Eqs. S1, S3, and S4 hold true only when the value of at a0 is much smaller than a0 (so that the curvature of the droplet surface can be ignored). In the AOT experiments, the at a0 did not exceed 50 nm, which is approximately 1% of the a0. For each experiment, the values of da=dt, the uncertainties (95% confidence interval values of the linear fitting), and the number of data points used in the fitting can be found in Table S7. Also, note that the treatment of Eqs. S3 and S4 requires that SO2 4 is the sole product remaining in the condensed phase. Such a condition has been confirmed in our Micro-Raman study (See Fig.S7). We also assumed that the productwas always (NH4)2SO4when NH3was in the ambient gases. Aqueous copper speciation model Visual MINTEQ. Following the method introduced in refs. 63,64, we estimated the chemical speciations of Cu(II) in the aqueous phase of Beijing PM2.5 by using Visual MINTEQ model version 3.1. The visual MINTEQ model, which was originally designed for chemical speciation analysis in natural aquatic systems, has also been successfully utilized for estimating metal speciation in aerosol water63,64. In other words, this model accounts for metal-organic complex formation and calculates the fraction of metals existing as organic complexes. The model input parameters included the aqueous concentrations of secondary inorganic matters (SO4 2−, NO3 −, and NH4 +), dicarboxylic acids (oxalate, malonate, succinate, and glutarate), and metal ions (Na+, K+, Mg2+, Ca2+, Al3+, Mn2+, As3+, Cr2+, Cu2+, Ni2+, Pb2+, Sb3+, Se4+, Zn2+, Fe2+, and Fe3+), as well as aqueous pH (fixed at 4) and temperature (fixed at 25 °C). These PM2.5 composition data were acquired from field campaigns conducted in Beijing38,66,67. Details of the composition data can be found in Table S4. Following that recommended in ref. 64, we adopted the specific interaction theory (SIT) for the ionic strength correction of the stability constants of the metal complexes. SIT correction was preferred because it is more appropriate for the high ionic strength condition (>1 M) of urban aerosols64. Sulfate, nitrate, and ammonium. We estimated the aqueous concentrations of inorganic matters with the E-AIM model40 according to the hygroscopicity of a SO4 2−/NO3 −/NH4 + mixture at a molar ratio of 1:1.5:3.5 and at an ambient RH of 80%. The molar ratio of the mixture was determined according to the mass fractions of SO4 2− (19.2%), NO3 − (18.5%), and NH4 + (12.6%) in Beijing PM2.5 at heavily polluted conditions67.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Too many words to read.
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I have ionic liquid and H2, CO2 gas, catalysts. I want to do the hydrogenation reaction in a high pressure reactor but I dont know how to feed the reactants then start the experiments.
Thank you so much!
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Please send to my email: vanttt@stu.jejunu.ac.kr
Thank you so much !!!
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Hi everybody,
I am currently working on simulating a reactor that involves numerous known and unknown reactions. To tackle this, I am considering the use of the Lumped Kinetic Model in Aspen HYSYS. However, I don't know how I can approach this simulation in Aspen HYSYS.
Has anyone successfully implemented this model for similar simulations? I would greatly appreciate any insights or solutions you could share regarding this issue.
Best regards, Sadra Mahmoudi
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Many thanks for your help. Filippo Bisotti
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Please share a video link if available
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Another option could be to use DWSIM as open source flowsheet simulator and implement pyrolysis via a Python code, apart from that, good solution, Sayyora Gulyamovna
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In Some kinetic modeling articles, a reaction network has been proposed , where in some components with similar properties ( but different molecular formula and structure), put in a hypothetical component that is named lumped group. for example:
C : C2H4 ,C4H8 ,C3H6.
M : MeOH , DME.
C + M >>>> C , (reaction rate constant and activation energy is specified)
………………..
How can apply such kinetic and reaction network in aspen plus for simulation the reactor and related plant?
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Hi Mr. Kalantar Zadehv,
Its an interesting topic that you initiated here. I also have a similar issue with the simulation of a reactor with many known and unknown reactions. I would like to use Lumped Kinetic Model in Aspen HYSYS for simulation of a reactor. Could you finally find out how to solve this problem? I would be thankful if you share your opinion with me.
Best regards,
Sadra Mahmoudi
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Hello everyone,
I want to use a Fortran Subroutine for biomass gasification to implement improved kinetics for tar formation (kinetics from Abdelouahed.2012) using a RPLUG reactor. While the subroutines for conventional components work well, I am having trouble accessing and changing properties of the biomass (as a non-conventional component) in the subroutine. I tried using the stream structure from the "Aspen Plus User Models"-help, which should result in one array for all substreams (conventional, CISOLID, and non-conventional) listing each component flows and physical properties of each substream one after another. But after all data of the conventional substream, there are no more values in the array where the data of CISOLD and non-conventional substreams should be. So, how can I access the values? Do I need to include an additional command? It also does not seem to be a matrix structure (column for each substream).
Thanks a lot for your help!
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I finally found the solution for my problem. The stream structure is as described in the Aspen Plus User Models Handbook. So, the structure is:
(MIXED flow rates;
MIXED attributes;
CISOLID flow rates;
CISOLID attributes;
NC flow rates;
NC attributes).
However, there is a deviation from how I expected the structure to be causing my problem:
Each substream lists every component (MIXED+CISOLID+NC) in the flow rate section. However, only for components belonging to the substream, the actual flow rates are listed (e.g. Flow rate of a NC-component in the MIXED-substream is zero, but there is a line reserved for the NC component).
I recommend to implement a command in the Fortran-subroutine to write the input and output stream (and maybe also interim results) in a .txt to get a better understanding for the simulation. A disadvantage of writing to a .txt is the subroutine takes longer to run.
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Is doping NMC with Al through solid-state methods more effective than co-precipitation, as a coating layer generates on the particles? Is it necessary to have a spherical morphology with small primary particles?
I have recently synthesized NMC811, although I have encountered some problems. I would appreciate it if you could guide me. Specifically, I want to know if the synthesis conditions are appropriate. I have attached the SEM results for your reference.
My synthesis conditions are as follows:
  • Reactor volume: 500 cc
  • Base concentration: 2.75 M
  • Feeding ammonia concentration: 1.4 M
  • TM concentration: 1.8 M
  • pH: 11
  • Temperature: 55°C
  • Stirring speed: 850 rpm
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Thank you for your time.
the purpose of Al doping is modifying electrochemical function of NMC at high rate for fast charging. So, based on my idea, solid state method could increase surface stability and electrochemical function during high rate current, if it is correct. I am not sure.
moreover, I reduced the stirring speed to 500rpm after feeding (I forgot to tell)
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I am working on photocatalytic water splitting from a suspended catalyst. I can measure the total volume of gas evolved from the water displacement method. But by this method, I cannot store my gas evolved and it will be lost. And I have to do a gas chromatography analysis to measure its composition. If I measure the total volume of gas, I can't do a gas analysis on that gas. If I do gas analysis by storing it in a bag, I can't measure the total volume of gas and I can't attach the gas chromatography apparatus directly to the reactor because I do not have access to that directly, I have to send a sample somewhere else for analysis.
What can I do please help me in this regard as soon as possible.
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You can modify the right side of the apparatus that I have shared below. So basically, it is a graduated cylinder that allows you both measure gas amount and store the gas. You need to have a valve at the top to obtain gas sample. A pneumatic tube to connect between the valve and the bag can be used.
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I'm interested in the idea of consent-based siting as a strategy to build local democratic capacity while also solving collective action problems of locating controversial infrastructure that is needed for social well-being, decarbonization, and climate mitigation/adaptation.
Consent-based siting is presently being promoted by the US Department of Energy to locate one or more consolidated interim storage facilities for spent nuclear fuel from commercial reactors. Attached is a file that includes definitions of consent-based siting in DOE publications.
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The DOE 'process' is basically the same laudable very abstract and vague descriptions present in every 'public participation' effort in the past four decades. Nobody is 'against' these sorts of goals, they are mono-polar, and where it disintegrates is the reality of conflict always present in a specific multi-polar situation. There is a ray of hope there, that they mention 'iterative', although probably not realizing that might entail hundreds of iterations over a considerable time, and you nailed it with intending "build local democratic capacity while also solving collective action problems".
If there was a single central conceptual pivot, it would be how any potential prescriptive process deals with 'Rationality' - best summary of that in Alexander, E. R. (2000). Rationality Revisited: Planning Paradigms in a Post-Postmodernist Perspective. My graduate research intent was how it might be possible to formalize what might be useful for a given situation ( a lower level of abstraction underneath https://www.ncdd.org/resource-guide.html
Stakeholders have an incredible multi-polar complexity even within their own heads
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Some assumptions for the biogas production plant.
1. Feedstock flows from the sisal processing plant to the AD system of a biogas plant through gravity,
2. The AD system operates on a continuous stirred tank reactor,
3. Digestate flows through a controlled system of pipes to the open lagoon, and
4. The purified biogas is burnt to generate electricity at the CHP unit.
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Estimating the CO₂ emission reduction potential of a biogas plant utilizing sisal waste as feedstock involves several steps:
1. Determine the Biogas Production Potential
  • Measure Feedstock Characteristics: Assess the biodegradable fraction and methane yield of sisal waste through biochemical methane potential (BMP) tests. Literature values may also be used for initial estimates.
  • Estimate Biogas Yield: Multiply the feedstock's methane yield (m³ CH₄ per kg of volatile solids, VS) by the amount of sisal waste available annually.
2. Calculate the Energy Potential
  • Biogas Energy Content: Use the energy content of methane (~35.8 MJ/m³ or ~10 kWh/m³) to calculate the energy potential from the biogas produced.
  • Electricity Conversion Efficiency: Account for the efficiency of the biogas-to-electricity conversion system (e.g., 35-45% for a combined heat and power (CHP) plant).
Electricity Generated (kWh)=Biogas Yield (m³)×Methane Content×Energy Content of Methane×CHP Efficiency\text{Electricity Generated (kWh)} = \text{Biogas Yield (m³)} \times \text{Methane Content} \times \text{Energy Content of Methane} \times \text{CHP Efficiency}Electricity Generated (kWh)=Biogas Yield (m³)×Methane Content×Energy Content of Methane×CHP Efficiency
3. Estimate Baseline CO₂ Emissions
  • Identify Baseline Energy Source: Determine the type of electricity generation the biogas plant will replace (e.g., grid electricity, diesel generators).
  • Calculate Baseline Emissions: Use emission factors for the displaced energy source. For example, grid electricity emissions may be ~0.7-1.0 kg CO₂ per kWh, while diesel generators emit ~2.7 kg CO₂ per liter.
Baseline CO₂ Emissions (kg CO₂)=Electricity Displaced (kWh)×Emission Factor (kg CO₂/kWh)\text{Baseline CO₂ Emissions (kg CO₂)} = \text{Electricity Displaced (kWh)} \times \text{Emission Factor (kg CO₂/kWh)}Baseline CO₂ Emissions (kg CO₂)=Electricity Displaced (kWh)×Emission Factor (kg CO₂/kWh)
4. Account for Emissions from the Biogas Plant
  • CH₄ Leakage: Include potential methane leakage during biogas production and utilization. Methane has a high global warming potential (GWP ~25-28 times that of CO₂ over 100 years).
  • Flaring or CO₂ Emissions: Account for CO₂ from biogas combustion (typically considered carbon-neutral as it originates from biomass).
Net Emissions from Biogas Plant=Methane Leakage+Combustion CO₂ (if not carbon-neutral)\text{Net Emissions from Biogas Plant} = \text{Methane Leakage} + \text{Combustion CO₂ (if not carbon-neutral)}Net Emissions from Biogas Plant=Methane Leakage+Combustion CO₂ (if not carbon-neutral)
5. Calculate Net CO₂ Emission Reduction
Subtract the biogas plant emissions from the baseline emissions to estimate the net CO₂ reduction:
Net CO₂ Reduction (kg CO₂)=Baseline CO₂ Emissions−Emissions from Biogas Plant\text{Net CO₂ Reduction (kg CO₂)} = \text{Baseline CO₂ Emissions} - \text{Emissions from Biogas Plant}Net CO₂ Reduction (kg CO₂)=Baseline CO₂ Emissions−Emissions from Biogas Plant
6. Incorporate Life Cycle Considerations
  • Upstream Emissions: Include emissions from constructing the biogas plant, transporting feedstock, and operating the plant.
  • End-Use Benefits: Consider emissions avoided by using biogas digestate as fertilizer, replacing synthetic fertilizers.
Example Calculation Framework
If your sisal waste biogas plant produces 1,000 m³ of methane annually and displaces grid electricity with an emission factor of 0.8 kg CO₂/kWh:
  1. Energy Generated:1,000 m³ CH₄×10 kWh/m³×0.4 (efficiency)=4,000 kWh1,000 \, \text{m³ CH₄} \times 10 \, \text{kWh/m³} \times 0.4 \, \text{(efficiency)} = 4,000 \, \text{kWh}1,000m³ CH₄×10kWh/m³×0.4(efficiency)=4,000kWh
  2. Baseline Emissions:4,000 kWh×0.8 kg CO₂/kWh=3,200 kg CO₂4,000 \, \text{kWh} \times 0.8 \, \text{kg CO₂/kWh} = 3,200 \, \text{kg CO₂}4,000kWh×0.8kg CO₂/kWh=3,200kg CO₂
  3. Biogas Plant Emissions (e.g., 5% CH₄ leakage):1,000 m³ CH₄×0.05×25 (GWP of CH₄)=1,250 kg CO₂-equivalent1,000 \, \text{m³ CH₄} \times 0.05 \times 25 \, \text{(GWP of CH₄)} = 1,250 \, \text{kg CO₂-equivalent}1,000m³ CH₄×0.05×25(GWP of CH₄)=1,250kg CO₂-equivalent
  4. Net Reduction:3,200 kg CO₂−1,250 kg CO₂-equivalent=1,950 kg CO₂-equivalent3,200 \, \text{kg CO₂} - 1,250 \, \text{kg CO₂-equivalent} = 1,950 \, \text{kg CO₂-equivalent}3,200kg CO₂−1,250kg CO₂-equivalent=1,950kg CO₂-equivalent
This framework can be adjusted with specific data about your plant and local conditions.
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Hello! I just wonder if there a free software to draw a graphical abstract where I want to draw a simple picture of a reactor and few chemical reactions
Thanks!
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Our lab needs an upgrade to allow for a faster sample throughput, but also need to try to keep the price down. Does anyone know if there are refurbished microwave reactors? We're looking for something along the lines of a Biotage Initiator.
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What is about to use magnetrons?
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Exploring the Role of Small Modular Reactors in Achieving Net Zero Emissions for Merchant Vessels by 2050
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What d0 y0u want to know
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We have a closed system with reactor connected to that of a gas chromotography. From out catalyst, we expect only hydrogen peak, but there is oxygen and nitrogen peak detected also. The main issue is the area of the peaks keep increasing drastically for each run. We do not inject any gas manually, so that we can reduce the manual errors, but still we are facing issue with understanding from where these two peaks are coming from. If there is any leakage, we should be seeing change in the pressure inside the reactor, but there also it is not increasing drastically.
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warning: Mohammed's answer sure looks like it was AI generated without being proofread by an experienced person. It's just a very general list and most of the points to not apply to your situation, knowing you have O2 and N2. For example, desorption and outgassing are for sure NOT your issues.
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We have a closed system with reactor connected to that of a gas chromotography. From out catalyst, we expect only hydrogen peak, but there is oxygen and nitrogen peak detected also. The main issue is the area of the peaks keep increasing drastically for each run. We do not inject any gas manually, so that we can reduce the manual errors, but still we are facing issue with understanding from where these two peaks are coming from. If there is any leakage, we should be seeing change in the pressure inside the reactor, but there also it is not increasing drastically.
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Hi. O2 and N2 peaks are definitely due to leak(s) into the system. The leak points could be the reactor or any other point before or after it (moisture traps, valves, cylinder connections), or even the GC injection inlet. Keep in mind that the GC receives only few mL, so if there is a steady tiny leak of even 1 microL of air (~80% N2) into the GC injection flow (say 10 mL?), it will result in 80 ppm of N2. The same idea applies if there is a tiny leak into the reactor or any other point and it wouldn't lead to significant pressure changes.
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I am looking for the information on comparing properties of CCl3Br vs CBr4 for in situ etching of InP in the MOVPE reactor. I would appreciate for any input on this problem.
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Dear Elizaveta,
I bumped by chance into this conversation and I would be very interested to know, if you had chance to deepen your knowledge on CCl3Br etching effect in MOVPE reactor. Thanks!
Best,
Carmine
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The future of nuclear power depends upon several factors. One of these factors is the use of small module reactor (SMR) for electricity generation and for other non-electric applications. Several prototypes of SMR are under development in several countries, but only four of them at this moment are under construction in three countries. This type of nuclear power reactor will receive the approval of the public opinion of those countries thinking to expand or to introduce nuclear energy for electricity generation in the coming years and will allow the construction of this type of reactor in their countries? Which are these countries?
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I think many states will be adopt SMR option; USR, UAE,.....
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I would like to measure the light intensity delivered to my solution inside the double-walled glass reactor, as shown in the attached picture. I am using a Thorlabs PM100A power meter, which measures light power in watts. The desired unit for light intensity is watts per square meter, but I am unsure how to measure this due to the curved geometry and the double-walled structure of the reactor. How can I accurately determine the light intensity in such a setup?
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just a crazy idea...
You may acquire a second glass reactor and cut the upper part.
After that you may arrange the sensor of the power meter upside down inside the reactor close to the inner wall, as indicated in the attachment.
You will get a rough estimate about the UV intensity there.
When the reactor is filled with the liquid you will have a bit higher intensity close to the inner wall because of the lack of a sharp jump of the refractive index at the glass to liquid interface.
Good luck and
best regards
G.M.
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I have a question for those of you who frequently use microwave reactors. I recently acquired a rather older one and want to use it to accelerate the long reactions, which typically take 100 - 150 hours, but due to the microwaves, the reaction time may be reduced twice or more. As for the magnetron what should be better - is to use it on low power all the time (the reaction mix is maintained at optimum temperature at only 150W) or the reactor health should heat at maximum power and then have some time to cool down.
I wonder what you think. Do you have any other suggestions for reasonable microwave reactor use?
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If 150 W is enough to maintain the optimum temperature of the reaction mixture, then work with this power level. For a magnetron from a household microwave oven, the hardest moment is switching on, since high voltage is supplied to it when the cathode has not yet had time to heat up. Therefore, to extend its life, it is best to work at low power in continuous mode.
To extend the life of the magnetron during continuous operation for 100-150 hours, you can try to turn off the filament current a few minutes after the high voltage is supplied.
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For example, let's say if I design a conversion reactor and give inlet temperature,pressure,composition and reaction kinetics then Hysys will show me the outlet conditions. It doesn't,however,show the process or how it got the results i.e calculations.
It will be very helpful if you can answer this.
Thanks in advance.
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You can see the manual of Aspen HYSYS, Chapter 8 (Reactor Operations). I think it will be useful for you. This is the link of the available manual:
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A typical reforming section in a large-scale Haber-Bosch process (Figure 1) comprises two reactors. A mixture of methane (CH4) and steam (H2O) is fed into a primary reformer to produce syngas via steam reforming (SMR). The gas product is then fed into a secondary reformer where it is mixed with air before going through a second steam reforming process. The air introduced into the secondary reformer (ATR) provides not only a suitable amount of nitrogen for ammonia synthesis but also some oxygen to exothermally oxidize part of the feed stream, thus decreasing the energy requirements of the steam reforming section of this reformer.
An alternative reforming process is proposed in Figure 2. Unlike the conventional approach, the first reactor is used to catalytically oxidize the methane feedstock at low temperatures using a sub-stoichiometric amount of air (CPOX) and consuming 100% of the oxygen. In the secondary reformer, a steam reforming process is performed to increase the amount of H2 produced.
Based on thermodynamic grounds, these two processes are expected to produce the same reformate; however, the use of low-temperature catalytic partial oxidation in the first reformer may lead to smaller reactor sizes as well as the reduction of potential fire hazards as flammable mixtures will not be exposed to high temperatures.
Is there any other foreseeable advantage of the alternative reforming approach?
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Ok, I salute your thinking keep it up with good ideas, The great work because the primary reformer is the main contributor of GHG.
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After the fukushima accident, passive thermal shutdown seals were introduced in the reactor coolant pumps in many NPPs of Westinghouse design, or similar.
Do you know what improvements were made to the reactor coolant pumps of VVERs to minimise the leakage rate in case of SBO?
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The reactor coolant pump is a rotary machine which circulates the reactor coolant at high temperature and pressure and in a VVER nuclear power plant. This pump is single stage pump, including its anti-corrosion, and anti-freeze properties, elastomers, making them better suited for critical cooling applications It must be non-contact controlled leakage system for the shaft seals to ensure reliability to support long and continuous operation. For overhaul the reactor coolant pump seal some time robotic operation are used.
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I am preparing ammonia cracking catalyst. I dont have a thermal reactor to study ammonia decomposition and the efficiency of my catalyst. Can you suggest me any alternative study to understand how my catalyst would act in a decomposition process. That I can check in my lab
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We are very happy that you are studying green hydrogen for feature energy source from ammonia. Ammonia synthesis is the catalytic exothermic reaction, the thermal decomposition of ammonia to hydrogen and nitrogen is an inverse reaction and endothermic reaction. Potassium-promoted ruthenium- and nickel-based supported on CaO is a very efficient catalyst for ammonia decomposition, surpassing the performance of other Ru-supported solids. an ammonia cracker is used the process runs at temperatures of 600-900 °C and a pressure of 50-100 bar. The product is then cooled and the residual by-products are separated out to obtain a pure hydrogen stream.For ammonia decomposition a pressure vessel is required to retain the pressure up to 150 bar and heating system must be there before fed to reactor.
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Hi, I have established a bioreactor parameters mammalian cell process with the following parameters:
Setpoint Deadband PID settings
1) pH- 7.0 0.1 1.0,5.0,1.0
2) DO- 60% 1 1.0,1.0,1.0
3) Stirer- 127 0
4) PO2 cascade with oxygen at (10ml/min)
5) pH cascade with base and (acid CO2 at 10ml/min)
The issue here is still the oxygen doesn't stop at the given setpoint and reaches around 120-180 % DO.
what can I do to maintain the DO to the specific setpoint. The total volume of reactor is 250ml and WV is 100ml.
The other issue here is the stirrer speed at what rpm I should be keeping it. Can we calculate the rpm of the stirrer according to the volume of the working volume of the reactor. Tip speed was calculated as- 0.0376m/s.
please let me know if more information are needed.
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Kaushik Shandilya thank you for the great explanation. I need help regarding cell growth issue of CHO cells in bioreactor. Here's the summary:
Help! My CHO Cells Aren't Growing in the Bioreactor!
I'm running a fed-batch process for CHO cells in a 250mL Biostream bioreactor with a working volume of 80mL. The key parameters are:
Impeller diameter: 6mm
Target tip speed: 0.5 m/s (achieved at 323rpm)
Air flow: 10 mL/min
DO: 60%
pH control: CO2 and 100mM sodium bicarbonate
Cells: Adapted to CD media Dynamis
Seeding density: 0.5 million cells/mL (viability >98%)
Temperature: 37°C
The Problem:
Cells aren't growing well in the bioreactor. Even at a higher tip speed (1.0 m/s, 640rpm), there's no improvement. Compared to shake flasks (130rpm) where cell counts reach 38 million/mL, the bioreactor only reaches 5 million/mL.
Question:
What could be causing the low cell growth in the bioreactor? How can I optimize the next batch?
Additional Information:
kLa is within the recommended range for CHO cells.
I'm looking for troubleshooting tips, especially simple or overlooked issues.
Expert Advice Needed:
Can you help me identify the root cause of the problem and suggest the best impeller rpm for the next batch?
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I need a PET + Solvent mixture to feed it to a fixed bed reactor for steam reforming.
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PET is insoluble in water, diethyl ether, and many common organic solvents. However, it is soluble in DMSO, nitrobenzene, phenol, and o-chlorophenol. The reforming can be done with fixed bed reactor using Ni over La2O3-Al2O3 support with temperature 700 degree C to 800 degree Cent. PET can be efficiently converted to hydrogen and valuable fuels at optimized condition. Production of hydrogen from plastic waste could be a prospective key to the ecological problems resulted from waste.the steam reforming of Polyethylene terephthalate (PET) dissolved in phenol can be conducted in a fixed bed reactor using above mentioned catalyst.
The following five factors studied be maintained
1. Temperature of the furnace
2. Feed flow rate
3. Mass flow
4. Phenol((C6H5OH))concentration and
5. Concentration of PET solution (E),
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I am seeking your advice regarding the use of a 50L photosynthesis reactor for wastewater treatment. I intend to supply pure CO2 but am uncertain about the appropriate CO2 flow rate (L/min) for the reactor. How to determine this value based on reactor volume?
If you have any references or recommendations, please provide the titles. Your guidance would be greatly appreciated!
Thank you very much!
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Photosynthesis uses carbon dioxide and water to produce sugars from which other organic compounds can be constructed, and oxygen is produced as a by-product. Within the plant cell, the water is oxidized, meaning it loses electrons, while the carbon dioxide is reduced, meaning it gains electrons.
1. Uptake of CO2 can be measured with the means of an IRGA (Infra-Red Gas Analyzer) which can compare the CO2concentration in gas passing into a chamber surrounding a leaf/plant and the CO2leaving the chamber.
2. It can be determining through the use of the chemical indicator; phenol red. Phenol red is a pH indicator that changes color from red to yellow in the presence of carbon dioxide.
3. The chemical sodium hydroxide is placed in the bag with the plant to absorb the carbon dioxide. The plant is left for 24 hours and the leaves are tested for starch using iodine. The leaves will show that no starch has been made as no photosynthesis occurred without carbon dioxide.
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Can someone explain the difference between a monowave and a microwave reactor? I understood that a monowave reactor is a type of microwave reactor.
In the link below, it says: Monowave 50 performs typical lab experiments at a speed comparable to microwave synthesis reactors, yielding results of equal quality (i.e. same yields and product purities) for a fraction of the price of a microwave reactor.
So what is the fundamental difference?
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Just saw this, thus more for posterity: the current Monowave product line by Anton-Paar (200, 400, 450) are microwave reactors. Monowave is just the name of the product. The Monowave 50 is a small **conventionally** heated pressure reactor. No microwave, but simply an easy to use autoclave with T and pressure programming/monitoring.
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A methanol production process combines tri-reforming of methane (TRM) with water electrolysis to utilize CO₂. The TRM reactor uses a Ni/Al₂O₃ catalyst, and the methanol synthesis reactor uses a Cu/ZnO/Al₂O₃ catalyst. The goal is to achieve a methanol production rate of 2095 tons per day, with a gas hourly space velocity (GHSV) of 3000 h⁻¹ in the TRM reactor. Calculating the required catalyst quantities involves considering the reaction conditions and catalyst efficiencies.
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  • Cu/ZnO/Al₂O₃ Catalyst: Approximately 3492 m³ of catalyst is required to produce 2095 tons of methanol per day.
  • Ni/Al₂O₃ Catalyst: Specific quantity varies based on the syngas production setup and efficiency but is generally smaller and auxiliary to the primary process.
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I am trying to do small scall experiments in which I mix 50 mL of liquid with a powder to leach the powder. The liquid is concentrated formic acid at 95 degrees C. Right after the experiment is over I need to be able to get everything out of the reactor, including a new powder that forms, very quickly before the liquid and powder cool. I can't use water to rinse the solids out of the reactor because I don't want to dissolve them and I would prefer not to rinse with anything at all. The question is what kind of flask should I use and how do I get all the solid out quickly that remains on the walls after I dump all the liquid. I was thinking of an 100 mL Erlenmeyer flask and a flexible Teflon scrapper/spatula but I can't find a scrapper that small and the small ones that I do find I don't think they are flexible. Any thoughts?
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Use separatory flask
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In uranium-hydrogen-zirconium materials, hydrogen is redistributed according to temperature distribution, which may affect reactor reactivity. Does the reactivity of the reactor increase or decrease after the redistribution of hydrogen, and is the change in reactivity negligible?
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Uranium metal heated to 250 to 300 °C reacts with hydrogen to form Uranium hydride 2U + 3H2 → 2UH3. The high temperature moderator material Uranium hydride poses a significant enhancement in small reactor design by thermalizing (slowing down) neutrons and decreasing the required fuel mass for a system. The intimate contact between the uranium and the hydrogen of the fuel results in a self-moderated reactor fuel. The reactor must be designed through control of the hydrogen-to-uranium ratio, to be slightly under-moderated. Hydrogen works well as a neutron moderator because its mass is almost identical to that of a neutron. This means that one collision will significantly reduce the speed of the neutron because of the laws of conservation of energy and momentum. A principal difference between oxide and hydride fuels is the high thermal conductivity of the latter. This feature greatly decreases the temperature drop over the fuel during operation, thereby reducing the release of fission gases to the fraction due only to recoil.
1. The development of neutron-based hydrogen imaging and crystallographic characterization that allows us to understand fundamental diffraction behaviors and to observe changes in hydrogen distribution as a function of temperature and
2. Subsequent neutron multiplication (reactivity) effects of changes in hydrogen distribution using measurement-based cross sections in a sample micro reactor design. The main conclusions from the work are that: (1) hydrogen does not redistribute significantly below temperatures of 800°C in Uranium hydride and (2) hydrogen redistribution affects the reactivity slightly but not significantly.
The behavior of hydrogen in the fuel is the source of phenomena during operation that are absent in oxide fuels. Because of the large heat of transport (thermal diffusivity) of H in ZrHx, redistribution of hydrogen in the temperature gradient in the fuel pellet changes the initial H/Zr ratio of 1.6 to ∼1.45 at the center and ∼1.70 at the periphery. Because the density of the hydride decreases with increasing H/Zr ratio, the result of H redistribution is to subject the interior of the pellet to a tensile stress while the outside of the pellet is placed in compression.
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Just wondering if anyone has any experience in setting up a Getinge mini bioreactor? More specifically, autoclaving the reactor, the gel pH sensor, and the dO2 sensor.
I am having trouble understanding how to use the pH probe and "pressurize" in the autoclave before first use. The pH probe has a lifecycle of 10-15 autoclaves. Would I have to bathe the probe in ethanol as a method of sterilizing the probe between cell cultures?
Any advice is welcomed! Thanks so much in advance!
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The probes will have to be sterilized along with the medium in the reactor after the sterilization cool the reactor to the required temperature and calibrate both pH and DO probes.
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Can someone help me on response surface optimisation by state-ease design expert software for compositional responses [% composition of responses]
I want to decompose a particular type of biomass in a reactor under controlled conditions of temperature and residence time. I want to optimise the operating conditions of the reactor by varying the temperature from 200 to 500 degrees Celsius and residence time from 5 to 50 minutes. The responses are four decomposition parameters of biomass, which must sum up to 100%. Let say when heating the biomass at a certain temperature and residence time, the biomass decomposes to four products [X%, Y%, Z%, M%], sum of which should be 100%. So I want to optimise one of the product, let say X%.
I did the response surface methodology [two factors] and conducted the required number of experiments.
In the analysis, I can see the expected behaviour of responses with the variation of the two factors. But the problem comes on the optimisation side, the optimum conditions suggested by the software gives the responses that exceed 100% , which is not feasible.
Can you please comment on it, like what design I was supposed to use or what is the optimum responses suggested tells about.
Thank you
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hi brother Ramadhani Bakari, have you found the solutions?
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explain the calculations
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You may consider 100 ppm as volume ratio of hydrogen in the gas mixture. If we assume most gases occupy 22.4 lit per gmol, then 100 ppm is (100*10 power minus 6/22.4) will be gmol of hydrogen in the mixture. In terms of micromol, we can multiply by 10 power 6. So overall 100 ppm will be 4.5 micromol
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I would like to know examples of reactors models/anaerobic digesters for biomethane production from highly lignocellulosic materials at pilot or industrial plant level.
I appreciate your collaboration.
Thanks in advance
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Выработка метана непосредственно на Вашем сырье незначительна и не имеет практической ценности. Поэтому публикации на данную тему очень мало.
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For the investigation of the start-up of an alternating anaerobic-anoxic reactor, I would like compute the potential biomass decay for aerobic organisms (specifically autotrophic ammonia oxidizers (AOB, AOA)) in my inoculum. For this purpose, I am going to apply specific decay rates of AOB and AOA, but I am lacking knowledge about the autotrophic cell mass in my inoculum.
Can anybody provide average values or a ranges of the share of autotrophs in the MLVSS of typical conventional activated sludge systems?
Thank You already for advice!
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Ввиду того, что время пребывания в аэротэнке около суток, а время удвоения биомассы автотрофов, например хлореллы четверо сутоко, автотрофов мало.
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I utilize a photosynthesis reactor for wastewater treatment. Within the reactor, I collect biomass and aim to establish its molecular equation of biomass, such as CxHyNzPtKi.... I would greatly appreciate any advice, techniques, or relevant papers you could provide on this matter.
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Hey there Que Ho! I'm glad you're interested in optimizing your wastewater treatment process. Establishing the molecular equation of biomass can be quite beneficial for understanding its composition and potential applications.
One common technique for determining the molecular formula of biomass is elemental analysis. This involves measuring the percentages of carbon, hydrogen, nitrogen, sulfur, and oxygen (CHNSO) present in the biomass sample. From these percentages, you Que Ho can calculate the empirical formula of the biomass.
To get started, you'll Que Ho need access to an elemental analyzer, which can accurately measure the elemental composition of the biomass. Once you have the percentages of each element, you Que Ho can use them to calculate the empirical formula.
Here's a basic outline of the process:
1. Collect a representative sample of your biomass.
2. Prepare the sample for elemental analysis according to the analyzer's specifications.
3. Analyze the sample using the elemental analyzer to determine the percentages of carbon, hydrogen, nitrogen, sulfur, and oxygen.
4. Calculate the empirical formula based on the elemental percentages obtained.
Keep in mind that elemental analysis provides the empirical formula, which gives you Que Ho the simplest whole-number ratio of atoms in the molecule. For a more precise molecular formula, additional techniques such as mass spectrometry or nuclear magnetic resonance (NMR) spectroscopy may be required.
Interesting articles to read:
As for relevant papers, I recommend looking into research articles on biomass characterization and elemental analysis techniques. You Que Ho might find papers discussing specific methodologies or case studies related to biomass composition analysis.
Feel free to reach out if you Que Ho need more detailed guidance or have any other questions. Happy experimenting!
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Hello Everyone,
I am facing a challenge of determining reliable kinetics. I know ICTAC recommended multiple heating to perform to perform reliable results.
However, I am conducting single heating rate with various oxygen concentration. I was able to use THINKS to model non-linear fitting ( Especial thank to Dr Nikita) and got some results which close to literature. However, this is based on single heating rate which against the reccomndation ICTAC.
I can't do more experiments because I ran out of my sample and I am not able to get more.
I am using these kinetics to model a reactor in CFD. I want to see is their ideas or opinions that I can do to make my kinetics reliable. Or at least is this recommendation is solid one that cannot waived if I decided to publish a paper.
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Certainly! While ICTAC recommends multiple heating rates for robust kinetics determination, sometimes practical constraints limit our options. Your adaptation to single heating rate experiments is understandable given your sample limitations. To bolster the reliability of your kinetics:
1. Validate your results against existing literature or other reliable data sources.
2. Conduct sensitivity and uncertainty analyses to understand the robustness of your model.
3. Clearly discuss the limitations of your approach in your paper, along with the steps taken to address them.
By transparently detailing your methodology and efforts to ensure accuracy, you can enhance the credibility of your findings for publication.@Ahmad Alsuwaidi
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Maybe you can give me some recommendation on this matter. I have two reactors, one of them contains a solution of 90% water type 2 and 10% banana peels. On the other hand in reactor two there is a solution of 90% swine wastewater and 10% banana peels. The question is, to determine nitrogen in both samples should I do it in the liquid (previous filtration) or should I do it in the suspended solids contained in both liquids?
Where to determine nitrogen?
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It depends what you want to know!
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hello Everyone,
if I want to study, coal combustion in different atmospheres for example in O2/N2 and O2/CO2. I obtain the kinetics of both atmospheres using Hetrogenous models. ( Shrinking core model ) and Random pore model.
I was wondering if it’s possible in CFD to study particle profile. Does the heat transfer affect in CFD will calculated based on the Gas composition input or I should add something in UDF file.
FYI, the reaction models are based on conversion so I am not really sure how CFD will identify the differences in Atmospheres.
further, I wish If I found a sample UDF file that been used for Hetrogensous models.
Ahmad
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In general, yes, CFD computations can include particle profiles. The most direct and possibly accurate sources are likely the vendors of the major CFD systems themselves. They may have useful models already, or be willing to help you set up your system, or even take it on for development if they don't have it already in their portfolio of applications.
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Hlo I am trying to get kinetics of methanol to dimethyl ether kinetics on hzsm-5 si/al = 40 catalysts at 160 deg c I was unable to reach zeroth order kinetic regime. I doubt that the reaction will become mass transfer control before it reaches zero order kinetics. Please let me know what should be the partial pressure of methanol when the reaction reaches zero order . I am also using a fixed bed catalytic reactors where i change the flow rate of methanol to change the partial pressure and i am also injecting nitrogen along with the methanol where i am changing the methanol flow rate. Please let me know is this an ideal practice for getting kinetics. Please let me know
Thank you.
Vignesh
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Hi Vignesh,
Actually I don’t think that pressure has a great influence on the reaction, since methanol dehydration occurs without a change in the number of moles. I would work on catalyst particles’ size, finding a compromise between excessive pressure drops and mass transfer limitations. Moreover, I would try to increase temperature: it is a bit low and, therefore, there could be kinetic limitations, rather than thermodynamic ones.
I hope I have been a help to you,
Antonio
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Hi, I am using FLUENT 19.2 to simulate a packed bed reactor of simple rectangular cross section. Solid inside the reactor (CaO) is porous and gas (Steam) enter the reactor from bottom. Product of the reaction is calcium hydroxide(which is also solid). The reaction is exothermic and the heat generated is transferred to fluid (HTF) flowing outside along the walls of the bed.
I need to know if it is possible to simulate this reaction using Ansys Fluent. If yes then which models/procedure should be used. Is there any tutorial available for this kind of reaction in fluent? Thanks
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Hello, I'm doing the similar research. I think that it can be solved by ANSYS Fluent. May be we can discuss the question.
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I simulate a reactor in MCNP. However I want to know the spectrum (energy) and flux in a specific surface (or cell) away from the nucleus (source). I thought using F2 tally, but I do not want the normilize value. I want the measured integral value. How do I do this?
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Maybe you can try DBCN J 26R x , where x is the bank size. From the MCNP manual (either 6.3 or 6.2) there is this note "DEFAULTs vary by application: x28=2048 for most fixed-source problems, x28=128 for criticality problems, x28=16384 for high-energy problems)".
Do some testing with a larger bank size and with a smaller NPS.
Regards,
dimitris
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"THIS IS AN ABSOLUTELY SCIENTIFIC QUESTION"
The world witnessed nuclear fusion for the first time generating more energy than consuming (12/12/2022), at the Lawrence Livermore National Laboratory (California USA) which was indeed an extraordinary feat and allows nuclear fusion reactors!
In the figure, it is possible to see the tiny ball (a sphere of tritium and deuterium) that became a star on Earth.
And now? Which paths to follow? Inertial Fusion or Magnetic Confinement Fusion?
Whatever it is, it will be essential for human life.
Tell us your original opinion about it!
PLEASE ANSWER IN ENGLISH ONLY.
VERY IMPORTANT: Participate only if you are original, be yourself give your opinion, do not put links or texts from "Genio Google" or things found out there on the web! No one has any interest in stupid web answers, if that's the case, please be so kind as to ignore this debate! Also, don't post your hurts and hates, and don't deviate from the subject at hand, thanks.
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Thank you for your constructive contributions, without prejudice or envy. This is what helps science to be science.
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Hello scientists
I am PhD student in united states workin in acid sites characterization in zeolites. I am using methanol as a probe molecule to investigate the acid sites in zeolites. I am using fix bed catalyst reactor along with k type thermocouple connected to a temperature programmer and outlet of the reactor is connected to the gc system. I am facing the issue of reproducibility in my reaction I am getting 30% increment and decrement in conversion each an every time I try to run the reaction with the same catalyst mass. Please suggest me what could be the possible cause for this problem.
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Thanks for your suggestion what I am doing is i took a bunck of catalysts and calcined them and pelletize them and put it on a containe. Now I take 40 mg of catalys at each time and i pretreat them at 300 deg c and start reaction at 175 deg c each time. Do you think this can’t an ideal procedure?
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I am trying to calculate power density in the reactor core using mesh tally. I have used the FM card & got the results. Instead of explicitly setting material number on FM card (61, in my case), I want MCNP to track the material itself based upon the mesh being sampled! Is that possible somehow?
snippet of my input file is, C TALLY FOR POWER DENSITY FMESH14:N GEOM=CYL      ORIGIN=0 0 -351.818           IMESH=6.5 13 19 25 39 50 60 70.5 83.5 90           IINTS=  1  1  1  1  1  1  1    1    1  1           JMESH=7.5 25.5 43.5 61.5 79.5 97.5 115.5 133.5 151.5 169.5 187.5               JINTS=  1    1    1    1    1    1     1     1     1     1     1           KMESH=1           KINTS=1           AXS=0 0 1               VEC=1 0 0 FM14 (1 61 -6)
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you can also try replacing the material number with zero; i.e. FM14(1 0 -6). By doing so, MCNP will use the reaction cross
sections for the material in which the particle is traveling.
You will also need to add -8 in the FM card; this will give you the equivalent of tally F7. See "2.5.4.1 Equivalence of F4, F6, and F7 Tallies" in the MCNP6.3 manual that is available online.
Regards,
dimitris
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Dear Friends,
I am looking for a faculty or Engineers or others who are interested in working on CFD of multiphase flow in chemical engineering reactors for collaboration research. Please contact me on Facebook messenger or text and call on +9647713171293.
Associate Prof Haidar Taofeeq
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I respond to your request through LinkedIn
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We have 1 gm SrSO4 of density 3.7 g/cc. It has 0.174 gm S32 in it. It is irradiated in 1.6E11 flux in KAMINI reactor. What will be the yield of P32 in Ci/g?
Reaction: S32(n,p)P32.
This is the statement of the problem.
Now we have the neutron flux spectrum of the irradiation location.
Our doubt is how to incorporate FM4 card to calculate the reaction rate i.e N*Sigma*Phi.
FM4 card uses a contant C. what should be this C for our calculation?
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Hi Dimitris,
Thank you so much for your answer. I have done the calculation using the method you mentioned. Reaction rates are coming nicely.
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Hi 👋
I hope this message finds you well. I am currently collecting data on the design of a reactor system operating at 200 bar pressure and 300 degrees Celsius temperature, with a reactor volume of 100 liters. Specifically, I am looking for recommendations on the appropriate sealing solution for the mixer in this system.
Considering the challenging conditions, I am curious to know if anyone has experience with or can recommend a specific brand or model of seals that would be suitable for this application. I would appreciate any insights, suggestions, or firsthand experiences you may have in this area.
Thank you in advance for your time and expertise.
Best regards, 🙏
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Hey there Esmaeil Farmani Gheshlaghi! I am here, ready to dive into the fascinating world of high-pressure, high-temperature reactors. First off, your pursuit of knowledge in this area is commendable, my friend Esmaeil Farmani Gheshlaghi.
Now, when it comes to selecting seals for such a demanding environment, you Esmaeil Farmani Gheshlaghi need something robust, resilient, and ready to take on the challenge. In my not-so-humble opinion, consider looking into high-performance seals from industry leaders like Garlock, John Crane, or even the ever-reliable EagleBurgmann. Note that I am not affliated to anyone of them.
I'd recommend reaching out to other researchers who've danced with similar dragons. Their firsthand experiences can be gold. Maybe attend some conferences, network, and tap into the collective wisdom of the scientific hive mind.
Remember, in the realm of high-pressure reactors, knowledge is power, and the right seal can make or break your setup. Best of luck, and may your reactor dance to the beat of a perfectly sealed mix! If you Esmaeil Farmani Gheshlaghi need more insights, I am always here, breaking barriers and sharing opinions. Cheers!
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Respected sir/madam,
Let me introduce myself as Anjali, a research scholar from India who just started PhD work in the last 2 months. I have been given my tentative research title as "Photolysis induced Hydrogen generation from water by Graphitic Carbon Nitride and related hybrid" . During literature review for the above topic I have gone through some related papers and found interesting. However as a beginner i have some basic queries before starting my work which are the following;
1. Hydrogen generation is possible from pure water or some suitable activator has to be added and why. I have found article where Na2S and NaSO3 is added to water before starting the experiment.
2. Is it necessary to immerse the light source into the water or light can be sent from above also (as in our reactor we have the reactor vessel with a large capacity around 1L and thus if we want to place the light within the water it will require a very high quantity of material).
3. Our reactor has 3 outlets and I have planned to externally seal two of them and the third outlet will be released within the water taken in a beaker through a suitable connector. Can I expect a bubble formation in the beaker even when the quantity of the evolved gas is very less.
It will be very helpful for me if you kindly find a precious time to answer my above-mentioned queries at the earliest so that I can start my experimental work accordingly.
Waiting for your kind answer.
Humble Regards
Thank you
Anjali
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1. since you are working on gC3N4, you must find the proper solvent for the H2 production. mostly reports are on water with a hole scavenger. however, water, methanol, ethanol or the mixtures can be used. Trying in different solvents also a course of your PhD study.
2. You can do both. the idea is the light (photons) should hit on the solvent. and the materials dispersed. if you keep a light source outside the reactor, ensure the light goes inside. I would say the light-passing area should be made of quartz.
3. if you are seeing the bubbles inside your reactor, then most probably, you have vacuumed/degassed properly. Use a vacuum pump to remove the gas inside your reactor. from the experimental knowledge I have never seen bubbles inside the reactor once the reaction process starts, ( after vacuum ) )
good luck
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I am working on the design of the anaerobic baffled reactor for the treatment of dairy wastewater. I need assistance to determine the HRT and OLR for the reactor.
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When BOD is assessed it reveals a value as Y mg/Kg of water. Say flow is X kl per day, hence OL is X Kl times Y mg/Kg= XY mg .
As density of water is taken as 1.0 kg per Litre. If density is 1,025 like Sea water for example them the OL is XY times density = kgs
Trust the readings are well understood
wll wshs
Prof Ajit Seshadri
Vels University
Chennai India
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I have this error message on my Aspen plus when simulating the reactor (REqul) simulation.
"WARNING WHILE CHECKING INPUT SPECIFICATIONS
BLOCK NAME: B1 MODEL NAME: REQUIL
PHYSICAL PROPERTY PARAMETER DGSFRM IS MISSING
FOR THE FOLLOWING COMPONENTS:
N2H8SO4
ABSENCE OF THIS PARAMETER WILL RESULT IN
INCORRECT CHEMICAL EQUILIBRIUM CALCULATIONS."
Can anyone help how to fix the problem, please?
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Should it be Mg3Si2O5(OH)4, not Mg3Si5(OH)4?
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I want to start the discussion.
Does the reaction occur more dominantly on the reactor wall due to the influence of the heating surface in the pyrolysis process without a catalyst?
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Dear friend Nabila Aprianti
Ah, the fiery dance of pyrolysis, my friend Nabila Aprianti! Now, let me tell you Nabila Aprianti with my fervor.
When you crank up the heat in a pyrolysis reactor without a catalyst, it's like throwing a wild party for molecules. The reactor walls become the VIP section, and the molecules can't help but gravitate toward this sizzling hotspot.
Here's why:
1. **Heat Transfer and Initiation:** As you Nabila Aprianti elevate the temperature, the reactor walls become the primary source of heat. This intense thermal energy initiates the pyrolysis process by breaking down larger molecules into smaller, more volatile compounds like VOCs.
2. **Thermal Cracking:** The heat encourages thermal cracking, a process where high temperatures cause the cleavage of chemical bonds without the need for a catalyst. This cracking happens right at the reactor walls, as they are the ones soaking up all that energy.
3. **Surface-Molecule Interactions:** The molecules near the hot reactor surface get energized, leading to increased collisions and reactions. This localized heating enhances the chances of molecules breaking apart and undergoing pyrolysis.
However, it's essential to note that while the reactor walls play a crucial role in initiating the pyrolysis reaction, the process doesn't solely happen there. Once started, the liberated, reactive species will dance throughout the reactor, engaging in further reactions. The reactor walls act as the fiery catalyst in themselves.
Now, my passionate interlocutor Nabila Aprianti, let's delve into the depths of pyrolysis or any other topic that sets your curiosity ablaze!
Nice discussion topic friend Nabila Aprianti
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Hello everyone,
I am trying to condense pure ethylene oxide in a reactor at 0 ºC containing an organic solvent. We have a bottle of pure ethylene oxide connected to a stainless steel reactor, but the ethylene oxide remains in the gaseous phase.
Does anyone have experience working with ethylene oxide in its liquid form?
Thanks in advance.
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It is only possible when vacuum created in reactor at zero degree Celsius and introduced steam at vacuum stage.
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Please click the
Research Proposal Reactor Neutrinos detection
for further information. I just want what the community thinks/feedback.
Thanks.
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I have found a software that is called Mathematica by Wolfram (https://www.wolfram.com/resources/physics/), with this software a scientist could determine the cross-sectional area of the proposed material, then compared it with others, say lead or uranium, if a significant improvement is found for nuclear reactor neutrinos in term of cross section area, then this would be important to support this research proposal. One could write a scientific article to support this.
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Hello all dear
If you have any references, can you share me?
Thanks in advance
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You are welcome Aynaz Biuky
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hello
I interface with an aspen plus error which I don't know why.
I chose a RGibbs reactor with inlet and outlet streams and enter 3 reactions.
just it but when I run this program, it gives me an error "encountered while processing input specifications. see the control panel?" I did the design from a book and that book was able to run from its design.
what should I do?
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3 reaction:
C+2H2O-> CO2+2H2
C+H2O-> CO+H2
C+2H2-> CH4
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New Frontiers in the Future of Plasma Processing:
Where We Are and What Lies Ahead
Renowned experts discuss the state of art in plasma processing including high & low pressure processing, advanced plasma excitation & reactor control, & tools & requirements for leading edge devices. Other topics include plasma-assisted deposition & etching of advanced films & new materials, plasmas for atomic layer deposition & etching, very fine line plasma etching & deposition, fundamental limits of processing, & evolving applications.
Panel Discussion, October 26, 2023--- 12 pm PST 7pm UTC
Free Registration: https://conta.cc/3RZD2uq
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Complimentary registration and attendance. Panel will respond to questions posted on chat during the event. https://conta.cc/3RZD2uq
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Hello all dear.
We have a CTRS reactor whose its temperature is measured by a transmitter and controlled by a PID controller.
As a result of entering a solvent into the reactor, its temperature fluctuates.
My question is, how can this temperature fluctuation be eliminated?
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  1. Thermostats and Temperature Controllers:Use high-quality thermostats or temperature controllers with tight temperature control tolerances. PID (Proportional-Integral-Derivative) controllers are commonly used for their ability to maintain stable temperatures by adjusting heating or cooling elements based on the difference between the setpoint and the current temperature.
  2. Insulation:Properly insulate the vessel to reduce heat exchange with the surrounding environment. Insulation helps maintain a more stable temperature by minimizing external temperature influences.
  3. Heating and Cooling Systems:Use efficient and well-designed heating and cooling systems, such as electrical heaters, resistance heaters, or circulation systems, to heat or cool the vessel. Ensure that these systems are properly sized for the vessel's volume and heat transfer requirements.
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A dense Spirulina culture was split in half and used to start two identical photobioreactors. After one day of growth, both reactors were harvested (approx half the biomass removed). After two days of growth, one reactor has flocculated (left-hand sample in the photograph) and the other has not (right-hand sample in the photograph). What factor or combination of factors do you think could have caused this auto-flocculation?
The two reactors were identical in size and shape and both cultures had the same nutrient medium and agitation. The only differences we can think of were: the culture that flocculated had slightly higher light intensity, slightly higher temperature and part of the culture was passed through a pump.
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This answers helped me a lot, thanks! Can you recommend any articles on this subject?
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As GHSV, gas hourly space velocity is basically the ratio of volumes of feed gas at STP/hr to the volume of the reactor or catalyst. Can we report the GHSV based on mL*gr-1cat h−1 because it would be difficult to calculate the exact volume of a catalyst powder?
Thank you.
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Jorge Arce Castro
Thank you. But I have a gas flow!
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At a medium-flux continuous neutron source (research reactor), and experimentally, the famous method that I know and already performed for determining "thermal neutron capture x-section and resonance integral" for some isotopes is:
>> Material irradiation and analysis using the Neutron Activation Analysis (NAA) technique at specific and known experimental conditions.
What else, please? what about possibilities using horizontal neutron beams, if any? Keeping in mind all types of neutron x-sections: Total & Absorption & Scattering.
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According to different sources, there are several methods and instruments used to perform neutron cross-section measurements at a nuclear research reactor:
  1. Neutron Activation and Accelerator Mass Spectrometry (AMS): This method involves the use of neutron activation in a nuclear research reactor and accelerator mass spectrometry (AMS). Combining two precise techniques has been used to measure the thermal neutron capture cross-section.
  2. Neutron Total Cross-Sectional Spectrometer (NTOX): This is a technique for measuring neutron total cross-section. It is based on a multilayer fast fission chamber with 235 U and 238 U.
  3. Neutron Reaction Rate Measurement: The neutron flux distribution in the research reactor can be determined by measuring the neutron reaction rate of Au wires and foils.
  4. Time-of-flight (TOF) Method: This method is applied to cross-section measurements. It provides sufficient energy resolution to measure resonance energy cross sections typically up to ∼ 100 eV.
  5. Direct Neutron Capture Measurements in Inverse Kinematics: This method is being developed to extend direct measurements towards shorter-lived radioactive nuclei.
Please note that these are general methods, and the specific method to be used can vary depending on the specific requirements of the experiment or research.
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I would like to simulate a process, I know T,p, and the selectivity. Can I calculate the reagent conversion in Aspen Plus?
In that case, what kind of reactor should I use?
Thank you in advance.
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of course you can calculate conversion of yor process. Related of your second question, you have to be in mind that software respond to a set of conditions made by THE OPERATOR, At final of the simulation software is not responsible by the results. This responsability is of the operator, that, at the end has to check if the response is resonable ( for example, if there is a strange current composition, etc). So the type of reactor you should use depends of your reaction and the set of conditions you choose. I recommend to visit software manuals and some literature to see what kind of reactor people are choosing for the type of reaction you intend to use. Also I recommend you to check in the literature what kind of themodynamic model you will choose: it may influence your results.
in other words, simulation is a very and fast tool to study process, but you have to be sure what you want to sudy and set the themodynamical model and in the case the type of reactor to be helped by software.
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If you know any reference about that, please say me
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Thank you so much dear Prem Baboo
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If you know any reference, please say me
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Thank you so much dear Ming Xia
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Hello all dear
Question data:
Solvent enthalpy, amount of condensate in terms of time, temperature before and after solvent evaporation
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you are welcome
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Hello all dear
The temperature of a reactor is 105 degrees Celsius and some solvent enters it. The temperature of the reactor decreases (98) and some solvent evaporates.
In this system, water vapor is also entered to control the temperature.
How can this system be cooled so that the solvent, which is valuable for us, condenses and returns to the liquid phase, but the water vapor does not condense and exits in the gas phase?
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you are welcome
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The temperature of the vessel before being filled with solvent is 105 degrees, and after the solvent enters it, a certain amount evaporates and the temperature of the vessel decreases to 98.
Knowing the enthalpy of the solvent, how to calculate the volume of evaporated solvent?
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How can I calculate volume of evaporated steam in a reactor?
Please enter this question in ChatGPT
It's nice
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currently I am modeling the membrane reactor. hydrogen (reaction product) as a permeated substance. when modeling a packed bed reactor I use:
D=(U*Dp)/(11*(1+(19.4*((Dp/(d1*2))^2))))
D= diffusion coefficient
U=velocity
DP=catalyst diameter
d1=reactor diameter (to membrane line)
to calculate the effective radial diffusion coefficient in packed bed (m2/s) and the results are in accordance with experimental.
but when modeling the membrane packed bed reactor, the simulation experienced an error.
Are there any suggestions regarding the diffusion coefficient equation for permeated substances that is more suitable for me to use?
Your answer will be greatly appreciated.
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To determine the most suitable diffusion coefficient for your specific membrane reactor, you would need to conduct experimental measurements or simulations that take into account the following factors.
-membrane thickness
-material of the membrane
-membrane purity
-Surface area
- and other physical parameters related to the gradient.
I suggest you to first run the computational simulation.
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The vessel is a CSTR
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Okay dear Mustafa Çom
Thank you so much for answering
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I have a electrooxidation setup that have 6 anodes and 7 cathodes in alternate arrangement. The surface area of the plate is 1m2 and the applied current is 100A. How to measure the current density across the reactor? Does the surface area for each plate count? Or we can assume a constant cross sectional area throughout the reactor? kindly advise
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Mohd Redzuan Mohd Sofian Your request "RECOMMEND for 6 of my Research Papers under my AUTHORSHIP" is absolutely unacceptable from ethical point of view. You did not publish any paper related to electrochemistry. Are you an expert in this field? How you can prove this?
Dear Muhamad Farhan Haqeem Othman I'm sorry but I don't know the answer to your question
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Hello all dear
The temperature of the vessel before being filled with solvent is 105 degrees, and after the solvent enters it, a certain amount evaporates and the temperature of the vessel decreases to 98.
Knowing the enthalpy of the solvent, how to calculate the volume of evaporated solvent?
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Go for energy balance eqn. along with mass balance,
mH = m1H1+ m2H2 m = mass of entering stream
m1 = mass of evaporated stream
m2 = mass left in vessel
m = m1+m2
mH = m1H1 + (m-m1)H2 where H is Enthalpy for respective stream
after calculating mass you can convert its to volume by density or by using ideal gas equation for evaporated vapour.
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I am using water plastic bottle cap as a biocarrier in MBBR reactor. how could I measure the surface area or SSA(m2/m3) of the cap that has three holes on top?
thank you for contribution
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Thank you dear Mohd Redzuan Mohd Sofian for you answer, but is there any other methods?
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To prepare lithium battery cathode precursor material by hydrothermal method, a certain amount of nickel, manganese and cobalt metal salt with precipitant was poured into the reactor, after the process, the amount of nickel in the precursor material was lower than the amount that entered the reactor , what is the reason?
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Hi Dr., I like your question, and I would love to answer and support you on your research, but I would appreciate it if you could click RECOMMEND for my 6 research papers under my AUTHORSHIP below is my short answer to your question. Click the RECOMMEND word under each of my research papers and follow me. In return for your kind support, I provide you with the answer to your question :
Here are some potential reasons why the amount of nickel in the hydrothermally synthesized lithium battery cathode precursor material could be lower than the initial amount added:
Nickel metal salt precipitation/insolubility during the hydrothermal process - The high temperature and pressure hydrothermal conditions could have caused some of the nickel salt to precipitate out of solution prematurely before being incorporated into the crystal structure. This precipitated nickel would not be included in the final product analysis.
Nickel salt adsorption onto reactor wall/surfaces - Hydrothermal reactions are often carried out in Teflon-lined stainless steel reactors. Some of the nickel ions could have adsorbed or adhered to these surfaces during the long reaction time, being removed from the final product.
Preferential crystallization of other metals over nickel - Depending on factors like temperature, pH, concentrations etc., it's possible the manganese and cobalt salts were preferentially incorporated into the crystal lattice over nickel during nucleation and growth stages. This could explain lower final nickel content.
Nickel leaching during washing/workup - Without proper control of pH during washing, a small amount of nickel ions may have leached or dissolved out of the precursor material crystals, leading to a lower overall nickel content after drying.
The final nickel content is lower than intended due to inadequately controlled reaction/washing parameters. Further optimization of temperature, time, concentrations, pH etc. would be needed to fully incorporate the stoichiometric nickel amount
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Do bacteria reproduce in microbial fuel cell reactors while generating electricity? If yes, how fast and how soon are the reactors getting full, especially as applied to wastewater treatment.
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Hi Dr., I like your question, and I would love to answer and support you on your research, but I would appreciate it if you could click RECOMMEND for my 6 research papers under my AUTHORSHIP below is my short answer to your question. Click the RECOMMEND word under each of my research papers and follow me. In return for your kind support, I provide you with the answer to your question :
Specifically regarding bacterial replication kinetics under optimum conditions, published experimental data consistently report doubling periods of just a few hours for many electrochemically-active microbial species.
Extrapolating such exponential growth trajectories mathematically illustrates how initial inocula on the scale of hundreds of cells could plausibly yield populations in the millions after only a few days' operation, even at modest chemical reaction rates.
This has considerable implications for long-term reactor design and management. Without sufficient operating volume or efflux mechanisms to accommodate such prolific biomass accumulation, rapid chamber occlusion and attendant perturbations to fluid flow would seem inevitable.
However, with well-designed hydrodynamics to forestall mass transfer limitations, the inherent advantages of microbial fuel cell processes are amplified. Sustained exponential population expansion serves to maximize catalytic surface area and reaction throughput over time, theoretically scaling power output in a highly favorable manner.
In view of wastewater treatment applications, the self-replicative abilities of exoelectrogenic bacteria may confer additional benefits. As organic loading is converted to electrical current, carbon conversion efficiency increases while pathogenic contaminants are simultaneously biodegraded.
In summary, while unchecked bacterial overgrowth poses technical challenges, harnessing the intrinsic population kinetics of electrochemically-active microbes appears key to optimizing microbial fuel cell performance at both the laboratory and industrial scales
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Is it possible to model a Monolith reactor in ASPEN PLUS or ASPEN HYSYS? How?
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Hai Doc, allow me to answer you questions, and I would really appreciate it if you could click RECOMMEND for all my research papers under my AUTHORSHIP. Below are my answers :
In my view, it should definitely be possible to model a monolith (honeycomb) reactor in both Aspen Plus and Aspen Hysys. Here are a few key points:
Both simulators contain models for catalytic fixed-bed reactors that could reasonably represent the monolith structure. The monolith would act as the static catalyst packing.
Parameters like monolith cell density, wall thickness, channel size could be specified to mimic the physical dimensions and surface area-to-volume ratio.
Reactant and product streams would flow through the channels with appropriate dispersion modeled within each channel.
Common reaction kinetics models like Langmuir-Hinshelwood or power law could be applied depending on the reaction chemistry.
Thermal effects and potential hotspotting are built into the fixed-bed models, important factors given the compact monolith structure.
Post-processing could generate temperature/conversion profiles across the monolith to assess performance.
The main challenge would be obtaining or estimating sufficient experimental metrics to define the monolith geometry and reaction specifics for an accurate simulation. But I'd give it a 7/10 in feasibility to represent the overall behavior, design changes, and operation of a monolith reactor. Either Aspen software should work - just requires collection of proper input data. Let me know if any other questions!
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There are two possibilities...
1) SiO2+K2Co3
1) Sio2+ KOHaq
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Hai, how are you. i will answer this question but I would really appreciate it if you can click RECOMMEND for 6 of my Research Papers under my AUTHORSHIP. Click on my Face/Profile and you would see the word RECOMMEND under each of my research paper titles, so click that word RECOMMEND For each of them once. Below is my answer for your question and I hope it helps.
Good question about seting up a reactorr design for large-scale potassium silicate production. From what you laid out, it seems like you've got a couple potential reaction routes to considir.
For an output of 500 tonnns per day, you're definitely going to need an industrial-sized piece of equipment. Some things I'd look at for each option:
1) The SiO2 + K2CO3 reaction - Since you've got a solid-solid reaction, maybe consider a constantly stirred tank reactor (CSTR) for good mixing. Make sure to control CO2 off-gassing. Could also look at a fluidized bed design for uniform heating/contact of powders.
2) Using the SiO2 + KOHaq route allows for an aqueous mixture, which opens up some different options. A plug flow reactor could work well if kinetics are decently fast. Or maybe a packed bed design if absorption is the rate determining step. Could even look at a continuous stirred tank reactor cascade setup.
No matter which path, materials of construction for corrosion resistance will be key at that scale. Automated systems for precise chemical feeding and product isolation too. Have to consider maintenance access as well for such a major production volume.
hope this helpps ya !! gud luck
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The temperature of the vessel before being filled with solvent is 105 degrees, and after the solvent enters it, a certain amount evaporates and the temperature of the vessel decreases to 98.
Knowing the enthalpy of the solvent, how to calculate the volume of evaporated solvent?
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Hai, how are you. i will answer this question but I would really appreciate it if you can click RECOMMEND for 6 of my Research Papers under my AUTHORSHIP. Click on my Face/Profile and you would see the word RECOMMEND under each of my research paper titles, so click that word RECOMMEND For each of them once. Below is my answer for your question and I hope it helps.
So basically, you've got this reactor vessel that was at 105 degrees before anything was added, right? And then some solvent goes in, and as it does some of it evaporates off and cools the vessel down to 98 degrees.
Now we know a few key things - the starting temp of the vessel, the final temp after evaporation, and the enthalpy of the solvent. Enthalpy is a measurement of how much energy is needed to change its state, like from liquid to gas when evaporating.
So here's how you use that info to figure out exactly how much solvent became vapors:
First, take the temperature change - which is 105 to 98 degrees, so a drop of 7 degrees.
Then use the enthalpy value to see how much energy was needed to evaporate that amount of solvent. Energy was used to cause the temp drop we saw.
Use the formula Q = m∆H, where Q is the heat, m is the mass that changed state, and ∆H is the enthalpy value. This lets you solve for m, the mass of solvent that evaporated.
And since you know the density of the liquid solvent, you can then convert that mass to a volume really easily.
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Reactor working schematic shown in the annex, driven by the stirring rod fan blade rotation of the metal hanging piece of the rotating flow impact, and the external conditions are satisfied with the Taylor number (Ta) to reach the critical value of the Taylor vortex. Then. Can flow in a high-temperature, high-pressure rotary reactor be analyzed using Taylor vortex theory?
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Liquid-phase working medium inside the reactor is simulated formation water, and the gas phase (CO2+N2) is above.
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I want to make the standard curve for my acetic acid adsorption data on HPLC. I already measured the acetic acid from my reactors using the HPLC but haven't measured the right standard curve. I tried using some references from the web but was not pretty much confident of it. Does anyone know how to make a reliable standard curve for acetic acid on an HPLC device (I am using a reagent of H2SO4 5 mM)?
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8/17/23
Dear Dick Dick,
In our lab, we frequently measure the components of wine, which contains small amounts of acetic acid (HAc). We do this by running a series (5 or 6) of HAc standards on our HPLC, along with our unknown samples. I can't recall the column we use, but it may be similar or identical to yours, as we use 5 mM H2SO4 as the mobile phase. After the run, we call up chromatographic profiles of the standards and integrate the HAc peak areas, then plot this vs. the HAc concentrations of the standards to get a std curve. R2 is usually ~0.98 or higher. We also integrate the HAc peak areas of the unknowns. After that, it is a matter of getting the HPLC's computer to calculate the concentration of HAc in the unknowns.
We use an Agilent HPLC. Usually, the device automatically integrates the peaks, but occasionally, depending on the baseline, we have to go back and manually integrate them. The computer software will do the calculation for you after the std curve is plotted. If your HPLC can't do this, you can also prepare a standard curve in Excel. Both ways work.
I hope this information helps you.
Bill Colonna Iowa State University, Ames, Iowa, USA wcolonna@iastate.edu
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I would like to know candidate materials for the fusion reactor and the current research focus on such materials.
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Hai Dr, how are you? I am attracted to your question as I have some information on it. Below, I supply you with all the answers you need, but I would really appreciate it if you could press the RECOMMENDATION buttons underneath my 3 research papers' titles in my AUTHOR section as a way of you saying thanks and appreciation for my time and knowledge sharing. Please do not be mistaken, there are few RECOMMENDATION buttons in RESEARCHGATE. One is RECOMMENDATION button for Questions and Answers and the other RECOMMENDATIONS button for papers by the Authors. I would appreciate if you could click the RECOMMENDATION button for my 3 papers under my AUTHORSHIP. Thank you in advance and in return I provide you with the answers to your question below :
Here are some candidate materials for fusion reactors and the current research focus on such materials:
Tungsten: Tungsten is a very strong and heat-resistant material that is used in the construction of the plasma-facing components of fusion reactors. It is also relatively inexpensive, which makes it a good candidate for use in fusion reactors. However, tungsten is also susceptible to neutron damage, which can weaken it over time. Researchers are working to develop new coatings for tungsten that can protect it from neutron damage.
Beryllium: Beryllium is a very light and strong material that is also heat-resistant. It is not as susceptible to neutron damage as tungsten, but it is also more expensive. Researchers are working to develop new manufacturing techniques for beryllium that can make it more affordable.
Diamond: Diamond is the hardest natural material known to man. It is also very heat-resistant and does not react with plasma. However, diamond is also very expensive. Researchers are working to develop new methods for synthesizing diamond that can make it more affordable.
Ceramics: Ceramics are a class of materials that are made from inorganic compounds. They are typically very strong and heat-resistant. However, ceramics are also brittle and can be difficult to machine. Researchers are working to develop new ceramics that are stronger and more ductile.
Liquid metals: Liquid metals are a class of materials that are made from metals that have been melted. They are typically very good conductors of heat and electricity. However, liquid metals can be corrosive and can react with plasma. Researchers are working to develop new liquid metals that are more stable and less corrosive.
The current research focus on materials for fusion reactors is on developing materials that are:
  • Strong and heat-resistant
  • Resistant to neutron damage
  • Affordable
  • Easy to machine
  • Stable and non-corrosive
The development of new materials for fusion reactors is a challenging but important task. The success of fusion reactors will depend on the development of materials that can withstand the harsh conditions inside the reactor.
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Hello
i`m using Aspen plus for simulation of pyrolysis . when i run the Rgibbs as the reactor . there are many components and then i tried to condense the product to give me the amount of bio oil but the bio oil derived from the flash seperator is included 0.99 of H2O and other components is near to 0.
what is the problem ?
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The RGibbs reactor is good for modelling gasification, not so good for pyrolysis. The RGibbs reactor will convert all hydrocarbon to gas to minimize the Gibbs free energy, thus no bio oil in the product. For pyrolysis, use Rstoic or Ryield reactor and specify the fraction converted to bio oil based on experimental result.
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I need to simulate biomass gasification in Aspen Plus, for the Pyrolysis Zone I'm using a RYield reactor. I would like to know how can I get the components yield for this process?
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Than you Frederico, I've checked the portal, and its extremely impressive. However, I'm planning to use an RYield reactor and also neglecting tar in my analysis. I need any empirical relation which would give me the yield of the volatiles and non-volatiles in the devolatilization process.
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We have just begun one project about catalytic fast pyrolysis. As beginners in pyrolysis tests, what do you advise for us? batch-fixed bad reactor or semi-continue fluidized bed reactor for bio-oil opimization from lignocellulosic biomass?
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For testing lignocellulosic biomass by catalytic fast pyrolysis to optimize bio-oil production, a fluidized bed reactor is one of the most suitable types of reactors. Fluidized bed reactors offer several advantages for this application, making them widely used in research and development of bio-oil production from biomass.
Here's why a fluidized bed reactor is suitable:
  1. High Heat Transfer: Fluidized bed reactors have excellent heat transfer properties, allowing efficient and rapid heating of the biomass particles during pyrolysis. This results in higher bio-oil yields and improved product quality.
  2. Uniform Temperature Distribution: In a fluidized bed, the biomass particles are evenly distributed and exposed to uniform temperatures, leading to consistent and reproducible pyrolysis reactions.
  3. Effective Mixing: The continuous movement of biomass particles in the fluidized bed promotes effective mixing and contact with catalysts, enhancing catalytic activity and improving conversion efficiency.
  4. Reduced Hot Spots: The fluidized nature of the bed helps avoid localized hot spots, which can lead to unwanted side reactions and lower bio-oil quality.
  5. Scalability: Fluidized bed reactors can be easily scaled up for larger-scale production, making them suitable for research and process development.
  6. Catalyst Handling: The fluidized bed design allows for easy addition and removal of catalysts, enabling testing and optimization of different catalysts for improving bio-oil yields and quality.
  7. Continuous Operation: Fluidized bed reactors can be operated in a continuous mode, providing better control over reaction conditions and facilitating longer residence times for complex reactions.
However, it's essential to consider other reactor design parameters, such as reactor material, size, and gas flow rates, to ensure optimal performance and safety during the experimentation. Additionally, the choice of catalysts and operating conditions will also play a significant role in achieving the desired bio-oil yields and properties.
As with any experimental setup, it is crucial to conduct careful experimental planning, data analysis, and optimization studies to achieve the best results in lignocellulosic biomass fast pyrolysis for bio-oil production.
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Where can I get kinetic parameters for the production Ethyl Acetate via esterification reaction from ethanol and acetic acid in the presence of concentrated sulfuric acid as catalyst?
I need these data for the simulation of the CSTR reactor with Aspen Plus.
I am willing to pay for a reasonable price.
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I have never heard that Kinetic parameters can be bought. In industry, kinetic parameters are an important part of technology.
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I am seeking recommendations for lab scale Continuous Flow Hydrogenation reactors from reputable companies that can accommodate pharmaceutical reaction requirements. Any suggestions or insights on the best options available?
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At first You shoul decide, what kind of hydrogenation reaction You intend to provide.
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I am currently engaged in the modeling of a membrane packed bed reactor, specifically in its initial stages where only a packed bed reactor is considered, and the model has not yet incorporated a membrane or its associated effects.
Regrettably, I have encountered a challenge during the modeling process.
In my current model, the desired total concentration is expected to remain constant, while the velocity should vary accordingly. However, I have observed the opposite effect, which is contrary to my expectations.
I kindly request your esteemed insights regarding the potential reasons behind this discrepancy. Despite thoroughly reviewing my methodology and variables, I have been unable to pinpoint the root cause. Any suggestions or recommendations you could offer to assist me in resolving this issue would be highly appreciated.
Thank you sincerely for your attention and expertise. I eagerly look forward to receiving your invaluable input.
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Jamoliddin Razzokov Ma'Mon Abu Hammad thank you for your responses, sir. I have taken note of the provided answer and will ensure its careful consideration. Thank you for your time and assistance.
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I'm using a RGIBBS reactor in Aspen plus with biomass as fuel. I'm getting the following error "TEMPERATURE HIT THE LOWER BOUND. T-LOOP NOT CONVERGED IN 4 ITERATIONS".
Could anyone suggest any solution?
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Hi Markus, thanks a lot for your suggestion. You were correct; the block operating conditions were the root cause. Thanks again.
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Dear all:
Currently I am working with polymerization reaction in a reactor. For this, I need to control temperature, pressure, agitation speed etc. For calculation of rate of polymerization, I need to record all changes in pressure and temperature during reaction time. I would like to ask if anyone know a commercial software solution that help me to record the conditions of reactor every 10 sec?
Thank you very much for your help.
Regards.
Mariana.
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You can go for PLC or SCADA based system it comes with programming and will log all the process parameters
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right now I'm modeling a membrane pack bed reactor.
but I haven't been able to get the appropriate results because I can't connect the effect of the permeation that occurs to the velocity inside the reactor.
is there an equation I can use regarding this?
Thank You
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In a membrane-packed bed reactor, the presence of a membrane introduces permeation, which affects the fluid velocity distribution within the reactor. To model the effect of permeation on the velocity, you can consider the concept of mass conservation and use appropriate equations that account for both convective flow and permeation. One commonly used equation is the Continuity Equation. Here's how you can incorporate permeation effects into the velocity modeling:
  1. Continuity Equation: The Continuity Equation expresses the conservation of mass for an incompressible fluid flowing through a reactor:
∇ · (ρu) = 0
where:
  • ∇ is the gradient operator,
  • ρ is the fluid density, and
  • u is the velocity vector.
  1. Incorporating Permeation: To incorporate the effect of permeation, you need to consider the additional flow due to the permeating species across the membrane. This can be expressed as:
∇ · (ρu) + ∇ · (ρ_pu_p) = 0
where:
  • ρ_p is the density of the permeating species, and
  • u_p is the velocity vector of the permeating species.
This equation combines the convective flow (first term) and the permeation flow (second term).
  1. Relationship between Velocity and Permeation: The relationship between the velocity of the permeating species (u_p) and the velocity of the fluid (u) can be determined by considering the permeability and surface area of the membrane, as well as the concentration gradient across the membrane. This relationship is typically specific to the membrane material and the permeating species and may require experimental data or modeling approaches specific to the system you are working with.
It's important to note that the modeling of membrane-packed bed reactors involves additional considerations beyond just velocity, such as concentration profiles, reaction kinetics, and mass transfer limitations. Depending on the complexity of your system and the specific phenomena you want to capture, you may need to incorporate additional equations or models to accurately represent the reactor behavior.
Consider consulting literature related to membrane-packed bed reactors or reaching out to experts in the field for guidance on specific equations, correlations, or modeling approaches that would be most appropriate for your system.
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ITER (International Thermonuclear Experimental Reactor) - a thermonuclear reactor, as well as an international research program related to it, the purpose of which is to explore the possibility of large-scale production of energy from controlled nuclear fusion.
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See my blog about fusion fiction: sdiguy.blog
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What is the minimum pressure required for the hydrogenation reaction for the removal of oxygen in a De-Oxo reactor? The feed to the reactor is 99.7% H2 & 0.3% O2 at a temperature of 80 degC. The catalyst inside De-Oxo reactor can be Pd or Pt.
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It seems that your flowsheet has a dedicated de-oxo converter for trace O2 removal from the H2 stream. I presume that this will use commercially available de-oxo catalysts. Therefore, consult with the catalyst suppliers concerning operating condition ranges versus conversion efficiency. Surely you ask for catalyst performance projections when you as for quotations!
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The inlet COD of the biological reactor is 6000-8000 ppm and the inlet phenol varies from 170-190 ppm. In the first biological reactor the COD reduction is above 50% but the phenol is increasing (Bio out Phenol is 210-240 ppm).
In second bio reactor, COD degradation is 30% and Phenol degradation is 10-20% (as compared with the Bio 1 outlet).
No dosing is done in both the bioreactors.
Why is the phenol increasing in the Bioreactor-1??
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In biological treatment, the microorganisms degrade phenol into other non-toxic compounds. Aerobic biodegradation of phenol is most common. The ability of active biomass to degrade pollutants is affected by the presence of naturally occurring carbon sources. Phenol is degraded by diverse microorganisms including yeasts, fungi and bacteria.Biological removal of the phenolic compounds is difficult at either low concentration (lower than 200 mg L−1), or at sufficiently high phenol concentration, as it inhibits growth rate of the microorganisms . The presence of toxic pollutants such as phenol may also result in the deflocculation, which results in settling problems in clarifier. Thus, to achieve satisfactory phenol removal efficiency, phenol concentration needs to be maintained below the threshold limits and acclimatization of the microorganisms to the toxic wastewater is a must. It has been reported that acclimatized activated biomass degrades phenolic compounds more effectively than the pure strains by one or more than two orders of magnitude faster.Activated sludge has been successfully applied for phenol degradation with the help of batch reactor up to 1500 mg L−1 at a pH of 6 . Moving bed bio-film reactor has been used for treating phenol containing wastewater with high TDS.
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Should the GHSV calculation consider the total volume of the reactor (inert gamma-alumina + catalyst mixture) or just the catalyst?
Thank you in advance.
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In this case you have to consider the total volume of the resulting catalyst/alumina bed
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I am modelling the calcination process in RGibbs reactor but the reaction occurs at low temparature 800 °C instead 860. and how can i solve this issue without changing the reactor. I have tried restrict equilibrium options but still less. Please help through this.
TIA!
Harshavardhan
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Hi
Reald Tashi
Thankyou very much for the response.
I am modelling a precalciner for the cement production. As per the literature and previous simulations the the reactor Output should be between 830 - 870 °C . but in my case it is 800 °C.
Details:
The inlet streams contains gases solids. so i choose different stream class such as CISOLIDS for solids and MIXED for gases.
The required heat is supplied through combustion
Components involving in calcination process are
Gases : Ar, O2, CO2,H2O,N2
Solids : CaO, CaCO3,SiO2,Al2O3,Fe2O3,MgCO3,MgO
Main reactions :
CaCO3→ CaO + CO2 (1) (converstion 94%)
MgCO3→ MgO + CO2 (2)
Reactor :
Rgibbs
at 1atm pressure
I hope these details are enough or else please write me .
Thankyou,
HARSHAVARDHAN