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Article

Performance of Alternative Methane Reforms Based on Experimental Kinetic Evaluation and Simulation in a Fixed Bed Reactor

by
Augusto Knoelchemann
1,
Deivson C. S. Sales
2,
Marcos A. M. Silva
1 and
Cesar A. M. Abreu
1,*
1
Department of Chemical Engineering, Federal University of Pernambuco, Recife 50.740-521, Brazil
2
Polytechnic School, State University of Pernambuco, Recife 50.740-521, Brazil
*
Author to whom correspondence should be addressed.
Processes 2021, 9(8), 1479; https://doi.org/10.3390/pr9081479
Submission received: 14 July 2021 / Revised: 16 August 2021 / Accepted: 19 August 2021 / Published: 23 August 2021
(This article belongs to the Special Issue Methane Reforming Processes)

Abstract

:
A comparative evaluation of alternative methane reforming processes as an option to steam reforming was performed by carrying out simulations of operations in a fixed bed reactor with a Ni (4.8 wt.%/γ-Al2O3) catalyst at 1023 K under 1.0 bar. Methane reforms, including processing with carbon dioxide (DRM, CH4/CO2), autothermal reform (ATRM, CH4/H2O/O2), and combined reform (CRM, CH4/CO2/H2O/O2) had their operations predicted based on experimental data developed to represent their kinetic behavior, formalized with mechanisms and parametric quantifications. The performance of fixed bed reactor operations for methane conversions occurred with different reaction rates in the three alternative processes, and comparatively the orders of magnitude were 102, 10−1, and 10−4 in CRM, ATRM, and DRM, respectively. According to each process, the methane conversions were oriented towards the predominant productions of hydrogen or carbon monoxide, indicating the kinetic selectivities of H2, 86.1% and CO, 59.2% in CRM and DRM, respectively. Considering the possibility of catalyst deactivation by carbon deposition, its predicted yields are low due to the slow stages of its production and due to its simultaneous consumption through interactions with O2, CO2, and H2O, reflecting favorably in additional productions of H2 and CO.

1. Introduction

Different reform technologies’ studies and their combinations converge on the production of different intermediate chemicals or final products such as hydrocarbons, methanol, natural gasoline, and diesel oil [1,2,3,4]. Methane steam reform, due to its characteristics, is the process most employed to convert natural gas into synthesis gas to meet the demand for synthetic liquid fuels via GTL (gas–to–liquids) technologies. Advantageously, this route produces a synthesis gas with high H2/CO ratios (3:1), indicated as feed for ammonia synthesis processes, oil refining (hydrotreating, hydrocracking, etc.), and hydrocarbon synthesis via Fischer–Tropsch, in addition to the hydrogen production itself.
Alternatively, using other types of methane reforms, different synthesis gases can be obtained, meaning several intermediate products must attend to the subsequent production of various derivatives. Reforms other than steam reforming, here called alternatives, have the potential to produce synthesis gas with different compositions in terms of the H2/CO ratio.
For each of these processes, aspects that impact its performance can be highlighted. Reactions with H2O, CO2, and O2, characterizing the SRM, DRM, and POM reforms, respectively, may present advantages and disadvantages related mainly to the reaction kinetics and thermality, coke deposition, and intrinsic catalyst regeneration.
In order to operate the methane conversion with the best performance, the objective is to combine the advantages of each of the reforms and reduce their disadvantages. Thus, steam reforming and carbon dioxide reforming, combining with other reforms, including autothermal reforming and partial oxidation, can provide possibilities for achieving significant performances.
In this context are included the dry reform with carbon dioxide (DRM), the autothermal reform of methane with oxygen and water (ATRM), and the combined reform of methane with three components with oxygen, water, and carbon dioxide (CRM) [5,6,7].
DRM is an endothermic process, requiring large amounts of energy, and providing a H2/CO ratio at the level of one unit. ATR combines endothermic steam reforming with partial exothermic oxidation reactions leading to different H2/CO ratios and has low energy requirements. The association of the dry reform with the stages of steam reform and the partial oxidation of methane constitutes low thermality CRM.
The dry methane reform was carried out employing different catalysts. However, efforts have been made to continue the effective use of nickel catalysts [8]. Thus, the production of the synthesis gas was carried out with Ni-catalysts, optimizing their performance by varying the parameters such as the type of support, promoters, and the synthesis of the catalyst. Employed to the DRM, Ni–Mo nanocatalysts resistant to coke and sintering were synthesized as a molybdenum-doped nickel with monocrystalline MgO [9]. Experiments on the autothermal reform of methane were carried out for operations with structured Si−SiC catalysts based on Ni–Rh, and mechanisms were formulated to be used in the modeling of the process [10]. Kinetic studies were performed varying the input concentration of methane, water, and carbon dioxide. Other theoretical studies were used as a basis for establishing a mechanism for ATR [11]. An adequate syngas (H2/CO) was produced by performing the TRM with adjusted operating variables (GHSV, feed composition), providing a long reaction time under low coke deposition [12].
For the Fischer–Tropsch synthesis, CRM was performed using nickel supported on MgAl2O4 promoted with Zr, Ce, and Ce–Zr [13]. These systems were effective to prevent nickel oxidation and deactivation by carbon deposition. In order to intensify the production of a more suitable syngas for the employment of CRM, an alternative was recently proposed through the combination of steam and dry reformings [14].
Conventional operations of industrial natural gas reform processes use catalytic fixed bed reactors, which are subjected to high temperature conditions under different pressure ranges and involve mass transfer and thermal non-uniformity effects. Thus, this equipment operates in different kinetic regimes (chemical, intermediate, diffusive), presenting operational requirements that guarantee conversions and yields appropriate to industrial practice. The operation times count on the active life of the catalyst where its deactivation (coke, sintering, etc.) must be under constant observation.
Due to the effect on methane stability by the use of new catalysts and equipments improving its conversion, the development of different reform technologies are in perspective. In the present approach, based on proposals for mechanisms and quantifications of the kinetics of alternative reforms [5,6,7] conducted by our research group, their operations were simulated in a fixed bed reactor in the presence of a supported nickel catalyst on alumina. Data obtained in our reseach were applied as the basis for each of the processes, and included the mass balance formulations for the fixed bed reactor. The results were compared in terms of the evolution and concentration profiles of hydrogen and carbon monoxide produced, as well as the carbon content with potential for deposition and consequent deactivation of the catalyst. The formulated predictions were confirmed as effective for comparing the performances of the three methane reforms.

2. Materials and Methods

For the purpose of conducting a comparative assessment between alternative methane reform processes, other than steam reform, a numerical simulation of their operations in a fixed bed reactor was employed. For this, the following strategy was adopted: identification and characterization of the catalyst used in the kinetic evaluations of the reform processes; formulation of the mass balances of the components of each process for isothermal operations and inclusion of the expressions of apparent reaction rates; consideration of the gas flow with axial dispersion; consideration of the kinetics of reactions without limitations due to the effects of mass transfer; use of quantified reaction rates with experimental bases.
The nickel catalyst with an estimated metal content of 5.0% by weight was prepared from its salt precursor via the incipient wetting method involving impregnation, calcination, and reduction. Material characteristics were obtained by AAS (atomic absorption spectrometry), XRD (X-ray diffraction, XRD, CuK–alpha radiation), and textural analysis (BET–N2 method).
For the kinetic operational evaluations of each process, a small-scale fixed bed reactor was used (2.0 g cat., <dp> = 50 µm) operating isothermally at 1023 K under atmospheric pressure ([5,6,7]). Different gas feed compositions were used according to the reforming process, and with each composition different flow rates were practiced, meaning variations in space time. Under each feed composition and applying different flow rates, a steady state was established for each one of them, observed by the constant composition of the reactor effluent product.
The experimental data obtained in the spatial time domain served to validate the proposed reaction rate expressions for each component in each process and allowed the estimation of the orders of magnitude of the kinetic parameters.
Predicting the methane behavior in the reforms in a fixed bed reactor on a pilot scale, mass balances were formulated for the components of each process, which included the validated reaction rates. The solutions of the balance equations led to the predictions of operation behavior through concentration profiles.
The simulations indicated by the experimental bases involved in them, characterized the comparisons of the alternative reforms in terms of the yields in hydrogen and carbon monoxide, and in relation to the production of carbon.

2.1. Numerical Method

The simulation of the operational behavior of the reform processes was carried out through the solutions of the partial differential equations formulated by the mass balances related to the chemical components involved. The method of solving the model of equations for methane reforms involved discretization in terms of time and space. Second-order spatial discretization was applied in relation to position, while a method based on numerical differentiation (numerical differentiation formulas, NDFs) provided solutions for concentration over time. The solutions of the model equations (Equation (18)), associated with the initial conditions and the boundary conditions (Equation (19)), were elaborated by applying the line method, recurring to the spatial and temporal discretization, where the space dependent variables (∆x = L/[n − 1]) and time (∆t = tn[nt − 1]−1) were the object of simultaneous interactions. For each advance of the concentration in time, the calculation of the concentration profiles followed, continuing until all the pre-established points in time (nt) were covered. Numerical differentiation (NDFs) was employed to obtain the evolution based on the expansion of the various derivatives in the Taylor series, in terms of the central point. An algorithm was formulated serving the calculation by the line method. The discretization for evaluations in space is expressed as:
2 C x 2 = C i , k 1 2 C i , k + C i , k + 1 Δ x 2 ,   C x = C i , k C i , k 1 Δ x
To calculate the concentration over time,
C i ( t 0 + Δ t ) = C i ( t 0 ) + Δ t d C i ( t 0 ) d t + 1 2 Δ t 2 d 2 C i ( t 0 ) d t 2 + 1 6 Δ t 3 d 3 C i ( t 0 ) d t 3 + 1 24 Δ t 4 d 4 C i ( t 0 ) d t 4
C i ( t 0 Δ t ) = C i ( t 0 ) Δ t d C i ( t 0 ) d t + 1 2 Δ t 2 d 2 C i ( t 0 ) d t 2 1 6 Δ t 3 d 3 C i ( t 0 ) d t 3 + 1 24 Δ t 4 d 4 C i ( t 0 ) d t 4
d C i ( t 0 ) d t = 3 C i ( t 0 Δ t ) 3 C i ( t 0 + Δ t ) + Δ t 3 d 3 C i ( t 0 ) d t 3 6 Δ t
From the discretization of the system of differential equations, it was possible to obtain the evolution and the concentration profiles of the reagents and products present in the reaction medium of the reform processes in operation in the fixed bed reactor.

3. Kinetics and Reactor Modeling

The experimental bases for methane reform processes were developed in our previous studies [5,6,7] via a kinetic approach, referring to the DRM methane dry reform of methane [5], the ATRM autothermal reform of methane [6], and the CRM combined methane reform [7]. In sequence, the reform processes, their reaction steps (i) and the corresponding reaction rates (ri) are described.

3.1. Kinetics of Reforming Processes

The kinetic behavior of the reform processes were previously evaluated from the experimental data of the proposed reaction rates formulated for the steps of each process. The expressions of these rates, containing the respective quantified parameters, were included in the mass balances of the fixed bed reactor used to simulate the operations of the methane reforms.
Dry methane reform (DRM) was described by the global stoichiometric equation CH4 + CO2  2CO + 2H2, where the reaction steps are shown in Table 1. In this model under the reaction conditions (>973 K, 1.0 bar), the cracking of methane (step 1) was considered to be catalytic, the reverse Boudouard reaction was assumed to be heterogeneous non-catalytic (step 2), practically irreversible, while the reverse reaction of water gas-shift (step 3) was qualified as homogeneous.
The evaluations carried out based on the steps evidenced experimentally, used the corresponding reaction rates thus expressed:
r 1 = k 1 K C H 4 C C H 4 1 + K C H 4 C C H 4
r 2 = k 3 C C O 2
r 3 = k 3 ( C C O 2 C H 2 C C O C H 2 O K e q )
The methane autothermal reform (ATRM) occured in the presence of oxygen and water vapor involving steps that formed the steam reform and oxidation of methane. After partial oxidation with oxygen, the process was qualified as an autothermal reform due to the presence of water [15,16,17]. In the operating conditions practiced (1023 K, 1.0 bar), based on the proposed mechanisms [18], the steps listed in Table 2 were adopted and evaluated for the purposes of the process kinetics.
The corresponding reaction rates proposed and to be included in the reactor’s balance equations were expressed as:
r 1 = [ k 1 K C H 4 C C H 4 ( K O 2 C O 2 ) 2 ( 1 + K C H 4 C C H 4 + ( K O 2 C O 2 ) 2 ) 2 ]
r 2 = [ k 2 ( C C H 4 C 2 H 2 O ) C H 2 - 3.5 ( 1 + K C H 4 C C H 4 + K H 2 O C H 2 O C H 2 - 1 ) 2 ]
r 3 = k 3 C H 2 C C O 2
r 4 = [ k 4 K C H 4 C C H 4 1 + K C H 4 C C H 4 ]
r 5 = k 5 C C O 2
r 6 = k 6 C O 2
Combined methane reform (CRM) is a process that combines dry and steam reforms and oxidation of methane [19,20,21]. A set of reaction steps based on experimental evidence was proposed [6]. Table 3 lists the reaction steps.
The reaction rates of the combined reform of methane were expressed for the purpose of quantifying the process kinetics as:
r 1 = [ k 1 K C H 4 C C H 4 K O 2 C O 2 ( 1 + K C H 4 C C H 4 + K O 2 C O 2 ) 2 ]
r 2 = [ k 2 K C H 4 C C H 4 1 + K C H 4 C C H 4 ]
r 3 = k 3 C C O 2
r 4 = k 4 ( C C O 2 C H 2 C C O C H 2 O K e q )

3.2. Modeling of the Fixed Bed Reactor

The model developed to represent the behavior of the process based on the mass balance equations of the components (J = CH4, CO2, CO, H2, H2O) was of the heterogeneous one-dimensional type, considering axial dispersion and mass transfer effects (Equation (18)).
ε D a x 2 C J Z 2 u C J Z ( 1 ε ) ρ c a t R J = ε C J t
The partial differential equations formulated for the components involved in the different reform processes admitted the initial condition: t = 0, ∀z CJ (0) = 0 and the following boundary conditions:
z = 0 ,   t   C J ( 0 ) = D a x U 0 ( C J Z ) + C J ( 0 + ) ;   Z = L ,   t   C J Z = 0
Dax is the axial dispersion coefficient of the gas mixture, estimated by the Ruthven correlation (1984) [22], proposed as Dax = γ1DmJ + 2γ2Rpu, with u = U0ε−1, and the tortuosity term, γ1, is a function of the porosity of the bed (ε.). DmJ is the molecular diffusion coefficient of each component and Rp the radius of the catalyst particle (dp = 2Rp, particle diameter).
For the application of the proposed model, especially for the quantifications of the apparent reaction rates (rJap) terms, possibilities for the occurrence of different kinetic regimes of the catalyst’s functioning were considered, involving surface reaction (rJ) and the internal and external mass transfer of the catalyst. Thus, to express the apparent reaction rate, the effectiveness factor ηJ (rJap = ηJrJ) was quantified according to previous evaluations based on the Weisz criterion (modified Thiele’s modulus (ΦJ = [rJapL2/DeJCJ], L = dp/6)) and the fraction of external resistance (fe = rJapL/kmeCJ) [23], where DeJ and kme are the internal effective diffusivity and the external mass transfer coefficient, respectively.

4. Results and Discussion

Based on our experimental kinetic operational data of each process ([5,6,7]) obtained as described in Section 2.1, the validate reaction rate expressions for each component in each process are presented including the kinetic parameters.
The evaluations of the alternative reform processes (DRM, ATRM, CRM) via simulations of their operations in the fixed bed reactor were initially developed for each of the reform processes in operation in the fixed bed reactor, representing the concentrations and the reactants and products by evolutions in different positions on the fixed bed and by profiles at different times of observation. In the sequence, oriented by the comparative evaluation, simulations were carried out on the same experimental bases, focusing on the concentrations of H2 and CO products, which were represented and compared for the three reform processes.
The experimental data of the processes, which were given by the simulations through the evaluated reaction rates, came from the nickel catalyst (Ni(4.8 wt.%)/γ-Al2O3), which is characterized by the composition (XRD, Figure 1): γ-Al2O3 (2θ 19.4°, 31.9°, 37.6°, 39.5°, 45.9°, 60.9°, 67.0°), Ni (2θ 44.4°, 51.7°, 76.3°, 92.9°, 98.6°), NiO (2θ 37.2°, 62.9°, 43.30°, 62.9°, 75.4°, 79.4°, 95.0°), the spinel NiAl2O4 (2θ 19.1°, 31.4°, 45.0°, 59.7°) [24,25], by the textural characteristics (BET–N2), specific surface area, Spγ-Al2O3 = 174 m2 g−1 and Sp Ni/γ-Al2O3 = 165 m2 g−1), and pore volume, Vpγ-Al2O3 = 0.71 cm3 g−1 e VpNi/γ-Al2O3 = 0.65 cm3 g−1.
In the present development, using the mathematical models as described in Section 2. (Materials and Methods), the operational performance of the processes in the fixed bed reactor was simulated under the conditions listed in Table 4 and Table 5.
In terms of hydrogen and carbon monoxide productions, comparisons were made taking into account the concentration evolutions (CJ vs. t) and concentration profiles (CJ vs. z). The formulated mass balance equation (Equation (18)) for the components of each reform, performed in the fixed bed reactor was expressed including the respective general reaction rate (RJ, Equation (20)), considering the rates of reaction steps (rJ) assumed in the kinetic evaluation of the processes.
R J = J r J a p = J η J r J
where rJ = νiJ ri, and νiJ is the stoechiometric coefficient of the J component in reaction step i.
In the processes involving the direct or reverse reaction step of water gas shift, the equilibrium constant (Keq) was employed as a function of the temperature expressed as follows:
K e q = exp ( 6.31 × 10 2 1.86 × 10 7 ln ( T ) + 2.11 × 10 4 T + 9.37 × 10 1 T 5.44 × 10 6 ( T 298.15 ) T 2
For each reform process, the specific reaction rates evaluated under the operating conditions and the global reaction rates (RJ) for the CH4, H2 and CO components are listed in Table 6, Table 7 and Table 8.
Under the practiced conditions and according to the reaction speeds of methane consumption, the criteria (phi′, fe) were calculated to quantify the evaluation of the kinetic regimes of mass transfer in relation to the reaction kinetics. Weisz’s modulus (modified Thiele’s modulus) phi′ and the external resistance fraction fe were estimated in the following ranges, phiCH4 = [0.22 – 8.35] × 10−4 close to zero, and feCH4 = [1.07 – 1.43] × 10−2 less than 0.02. Thus, the low limitations imposed by mass transfer were characterized, so that ηJ → 1, rJap ≈ rJ. Figure 2 shows the evolution of the component concentrations (CH4, CO2, H2O, O2, H2, CO) of the alternative reforms DRM, ATRM, and CRM, characterized for the initial times of each operation.
The concentration evolutions were more advanced for the feed reagents and then for product evolutions. In general, it was indicated for the three reforms that after approximately three seconds the steady state was reached. The short times for the operation to become stationary were due to the small bed size and the relatively high flow of gas flowing through it.
In Figure 3, for comparison purposes, the concentration profiles of hydrogen and carbon monoxide (CH2, CCO) in the three alternative reforms are represented. The hydrogen concentration profiles for the three reforms were similar and increasing, and showed levels that varied according to bed positions, from the inlet to the outlet of the reactor. In the positions close to the reactor inlet (0.1 L), the hydrogen production was higher in the DRM operation, with a concentration approximately 50% higher than that obtained in the ATRM, and much higher than the concentration achieved in the CRM. However, at the outlet of the reactor that represented the production of the system, the level of hydrogen concentration obtained in the operation of the CRM was 75% higher than that of the DRM, while in the ATRM the concentration was lower, about twice lower.
The alternative reforms evaluated according to the kinetics of their reaction steps (i = 1, 2, 3, etc.) that formed the mechanism of each process reflected the evolutionary characteristics of the productions. To express them, using the specific rates of the reaction steps related to each product (kiJ), it was possible to calculate the kinetic selectivities defined as S J = i ν i J k i J [ i k i ] 1 , where J is a product present in the reaction step i, and νiJ its stoechimetric coefficient for comparative evaluation purposes, SJ is calculated for H2 and CO according to Equations (22)–(24), denominated SJ-DRM, SJ-ATRM and SJ-CRM, respectively.
S H 2 D R M = 10 2 ( 2 k 1 k 3 ) D R M [ i k i D R M ] 1   ,   S C O D R M = 10 2 ( k 2 + 2 k 3 ) D R M [ i k i D R M ] 1
S H 2 A T R M = 10 2 ( 2 k 1 + 4 k 2 k 3 + 2 k 4 ) A T R M [ i k i A T R M ] 1   ,   S C O A T R M = 10 2 ( k 1 2 k 3 + k 4 ) A T R M [ i k i A T R M ] 1  
S H 2 C R M = 10 2 ( 7 / 4 k 1 + 2 k 2 k 4 ) C R M [ i k i C R M ] 1   ,   S C O C R M = 10 2 ( k 1 2 k 3 + k 4 ) C R M [ i k i C R M ] 1
In Table 9, the orders of magnitude of the kinetic selectivities SH2 and SCO calculated through the Equations (22)–(24) are listed.
The kinetic selectivities indicated the following highlights for the CRM process, with SH2-CRM = 86.1%, and for the DRM process, with SCO-DRM = 59.2%, which characterized the process guidelines for the selective production of hydrogen and carbon monoxide. Hydrogen productions, considering the reaction steps for consumption in each reform process, had their specific rates in the following orders of magnitude: 10−4 DRM, 10−1 ATRM, and 102 CRM, involving, respectively, one-step, three-step, and two-step reactions. Such checks showed compliance with the highest levels of evolution and profiles obtained in the operations of CRM. On the other hand, the production of carbon monoxide occurred more quickly and at higher levels in DRM operations, where the process produced it through two reaction steps.
The prospects for operating selective synthesis gas and/or hydrogen productions by methane reforming can be based on the simulations obtained for a fixed bed reactor that converge to the MRC choice. To be viable, this choice must resort to the use of a low-cost Ni catalyst, which operates in a chemical kinetic regime and with minimal loss of activity.
In this sense, it is intended to operate with a fixed bed reactor structured in monolith, when the Ni phase is dispersed on the walls of the multichannel system. Thus, the system will work in a chemical kinetic regime and with low pressure drops, allowing high processing flows.

5. Conclusions

Using experimental kinetic bases, predictions were made for methane reform operations, characterized as dry reform (DRM), autothermal reform (ATRM), and combined reform (CRM), constituting alternatives to steam reform of methane. Simulations were developed using a heterogeneous model for operations in a fixed bed reactor compacted with the catalyst Ni (4.8 wt.%)/γ-Al2O3 at 1023 K and 1.0 bar, considering the reactor fed with CH4/CO2 in DRM, CH4/H2O/O2 in ATRM, and CH4/CO2/H2O/O2 in CRM.
The simulations of the operations were expressed in terms of the concentrations of the components as evolutions, in different positions of the fixed bed, and as profiles, for various times of observation. The predictions allow the following behaviors to be indicated for processes:
  • The evolution of the concentration of reagents and products increase and are similar between them, with the reagents evolving in the reactor earlier, and the products afterwards;
  • The reagent profiles decrease, while the product profiles increase, reaching higher levels of concentration in the outlet sector of the reactor;
  • Carbon yields can be predicted at low levels, where the reaction steps involving its production are compensated by its consumption, according to interactions with O2, CO2 and H2O.
The predicted behaviors serve as a basis for the comparative evaluations of the different reforms of methane, which were elaborated by analyzing the profiles of methane, hydrogen and carbon monoxide, establishing the following conclusions:
  • Methane is always consumed in the operations of the three reforms; this consumption occurs at the CRM via three reaction steps, with a predominance of the order of magnitude 102 of the specific reaction rates compared to the orders of 10−4 and 10−1 in the operations of the DRM and ARM reforms;
  • Hydrogen production, considering the steps that involve consumption in each reform process, have their specific rates in the following orders of magnitude: 10−4 DRM, 10−1 RAM, and 102 RCM, considering, respectively, one step, three steps, and two reaction steps;
  • The production of carbon monoxide occurs more quickly and at higher levels in DRM operations where its conversion is not verified, and the referred production occurs through two reaction steps.
The comparisons according to the performance of the alternative reforms were made through the kinetic selectivities of H2 and CO. Thus, in the course of operations in the fixed bed reactor, the CRM and DRM reforms highlight, respectively, a hydrogen selectivity of 86.1% and a carbon monoxide selectivity of 59.2%.

Author Contributions

Conceptualization and methodology, A.K. and M.A.M.S.; software and validation, D.C.S.S. formal analysis and investigation, A.K. and C.A.M.A.; revision and editing C.A.M.A. All authors read and agreed with the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Acknowledgments

Acknowledgments from the authors to the Federal University of Pernambuco, Brazil and to the CNPq (National Council of Science and Technology), Brazil, for their academic and structural support, and the financial contribution to the research, whose results form the basis of this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Armor, J.N.; Martenak, D.J. Studying carbon formation at elevated pressure. Appl. Catal. A Gen. 2001, 206, 231–236. [Google Scholar] [CrossRef]
  2. Rostrupnielsen, J.; Hansen, J.H.H.T.A.B. CO2-Reforming of Methane over Transition Metals. J. Catal. 1993, 144, 38–49. [Google Scholar] [CrossRef]
  3. Tomishige, K.; Yamazaki, O.; Chen, Y.; Yokoyama, K.; Li, X.; Fujimoto, K. Development of ultra-stable Ni catalysts for CO2 reforming of methane. Catal. Today 1998, 45, 35–39. [Google Scholar] [CrossRef]
  4. Takenaka, S.; Ogihara, H.; Yamanaka, I.; Otsuka, K. Decomposition of methane over supported-Ni catalysts: Effects of the supports on the catalytic lifetime. Appl. Catal. A Gen. 2001, 217, 101–110. [Google Scholar] [CrossRef]
  5. Abreu, C.A.M.; Santos, D.A.; Pacífico, J.A.; Filho, N.M.L. Kinetic Evaluation of Methane−Carbon Dioxide Reforming Process Based on the Reaction Steps. Ind. Eng. Chem. Res. 2008, 47, 4617–4622. [Google Scholar] [CrossRef]
  6. Souza, A.E.A.M.; Maciel, L.J.L.; Cavalcanti-Filho, V.O.; Filho, N.M.L.; Abreu, C.A.M. Kinetic-Operational Mechanism to Autothermal Reforming of Methane. Ind. Eng. Chem. Res. 2011, 50, 2585–2599. [Google Scholar] [CrossRef]
  7. Maciel, L.J.L.; Souza, A.E.A.M.; Vasconcelos, S.M.; Knoechelmann, A.; Abreu, C.A.M. Dry reforming and partial oxidation of natural gas to syngas production. Stud. Surf. Sci. Catal. 2007, 167, 469–474. [Google Scholar]
  8. Singh, R.; Dhir, A.; Mohapatra, S.K.; Mahla, S.K. Dry reforming of methane using various catalysts in the process. Biomass Convers. Biorefinery 2020, 10, 567–587. [Google Scholar] [CrossRef]
  9. Song, Y.; Ozdemir, E.; Ramesh, S.; Adishev, A.; Subramanian, S.; Harale, A.; Albuali, M.; Fadhel, B.A.; Jamal, A.; Moon, D.; et al. Dry reforming of methane by stable Ni–Mo nanocatalysts on single-crystalline MgO. Science 2020, 367, 777–781. [Google Scholar] [CrossRef] [PubMed]
  10. Luneau, M.; Gianotti, E.; Guilhaume, N.; Landrivon, E.; Meunier, F.C.; Mirodatos, C.; Schuurman, Y. Experiments and Modeling of Methane Autothermal Reforming over Structured Ni–Rh-Based Si-SiC Foam Catalysts. Ind. Eng. Chem. Res. 2017, 56, 13165–13174. [Google Scholar] [CrossRef]
  11. Chen, J.; Li, L. Mechanism of the autothermal reforming reaction of methane on Pt(1 1 1) surfaces: A density functional theory study. Appl. Surf. Sci. 2021, 539, 148288. [Google Scholar] [CrossRef]
  12. Lino, A.V.P.; Assaf, E.M.; Assaf, J.M. Adjusting Process Variables in Methane Tri-reforming to Achieve Suitable Syngas Quality and Low Coke Deposition. Energy Fuels 2020, 34, 16522–16531. [Google Scholar] [CrossRef]
  13. Lino, A.V.P.; Calderon, Y.N.C.; Mastelaro, V.R.; Assaf, E.M.; Assaf, J.M. Syngas for Fischer-Tropsch synthesis by methane tri-reforming using nickel supported on MgAl2O4 promoted with Zr, Ce and Ce-Zr. Appl. Surf. Sci. 2019, 481, 747–760. [Google Scholar] [CrossRef]
  14. Chen, L.; Gangadharan, P.; Lou, H.H. Sustainability assessment of combined steam and dry reforming versus tri-reforming of methane for syngas production. Asia Pac. J. Chem. Eng. 2018, 13, e2168. [Google Scholar] [CrossRef]
  15. Dias, A.C.J.; Assaf, J.M. The advantages of air addition on the methane steam reforming over Ni/γ-Al2O3. J. Power Sources 2004, 137, 264–268. [Google Scholar] [CrossRef]
  16. Liu, S.; Xiong, G.; Dong, H.; Yang, W. Effect of carbon dioxide on the reaction performance of partial oxidation of methane over a LiLaNiO/γ-Al2O3 catalyst. Appl. Catal. A Gen. 2000, 202, 141–146. [Google Scholar] [CrossRef]
  17. Larentis, A.L.; de Resende, N.S.; Salim, V.M.M.; Pinto, J.C. Modeling and optimization of the combined carbon dioxide reforming and partial oxidation of natural gas. Appl. Catal. A Gen. 2001, 215, 211–224. [Google Scholar] [CrossRef]
  18. Lu, Y.; Xue, J.; Yu, C.; Liu, Y.; Shen, S. Mechanistic investigation on the partial oxidation of methane to syngas over a nickel-on-alumina catalyst. Appl. Catal. A Gen. 1998, 174, 121–128. [Google Scholar] [CrossRef]
  19. Hong-Tao, J.; Hui-Quan, L.; Yi, Z. Tri-reforming of methane to syngas over Ni/Al2O3-Thermal distribution in the catalyst bed. J. Fuel Chem. Technol. 2007, 35, 72–78. [Google Scholar]
  20. Lee, S.-H.; Cho, W.; Ju, W.-S.; Cho, B.-H.; Lee, Y.-C.; Baek, Y.-S. Tri-reforming of CH4 using CO2 for production of synthesis gas to dimethyl ether. Catal. Today 2003, 87, 133–137. [Google Scholar] [CrossRef]
  21. Seo, Y.S.; Shirley, A.; Kolaczkowski, S.T. Evaluation of thermodynamically favorable operating conditions for production of hydrogen in three different reforming technologies. J. Power Sources 2002, 108, 213–225. [Google Scholar] [CrossRef]
  22. Ruthven, D.M. Principles of Adsorption and Adsorption Process; John Wiley & Sons: Hoboken, NJ, USA, 1984. [Google Scholar]
  23. Villermaux, J. Génie de la Reaction Chimique: Conception et Fonctionement des Reactors; Technique et Documentation (Lavoisier), 2ͣ triage: Paris, France, 1982. [Google Scholar]
  24. Valentini, A.; Carreno, N.L.V.; Leite, E.R.; Goncalves, R.F.; Soledade, L.E.B.; Maniette, Y.; Longo, E.; Probst, L.F.D. Improved activity and stability of Ce-promoted Ni/gamma-Al2O3 catalysts for carbon dioxide reforming of methane. Lat. Am. Appl. Res. 2004, 34, 165–172. [Google Scholar]
  25. Maluf, S.S.; Assaf, E.M.; Assaf, J.M. Catalisadores Ni/Al2O3 promovidos com molibdênio para a reação de reforma a vapor de metano. Quím. Nova 2003, 26, 181–187. [Google Scholar] [CrossRef] [Green Version]
Figure 1. X-ray diffraction (XRD) analysis of the nickel catalyst supported on gamma alumina (Ni (4.82 wt.%)/γ-Al2O3).
Figure 1. X-ray diffraction (XRD) analysis of the nickel catalyst supported on gamma alumina (Ni (4.82 wt.%)/γ-Al2O3).
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Figure 2. Alternative methane reform processes. Evolution of concentrations. (a) DRM, (b) ATRM, (c) CRM. Conditions: Cat. Ni (4.82 wt.%)/γ-Al2O3, 1023 K, 1.0 bar.
Figure 2. Alternative methane reform processes. Evolution of concentrations. (a) DRM, (b) ATRM, (c) CRM. Conditions: Cat. Ni (4.82 wt.%)/γ-Al2O3, 1023 K, 1.0 bar.
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Figure 3. Comparison of alternative methane reform processes. Concentration profiles. (a) H2, (b) CO. Conditions: Cat. Ni (4.82 wt.%)/γ -alumina, 1023 K, 1.0 bar.
Figure 3. Comparison of alternative methane reform processes. Concentration profiles. (a) H2, (b) CO. Conditions: Cat. Ni (4.82 wt.%)/γ -alumina, 1023 K, 1.0 bar.
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Table 1. Steps of the reaction for dry methane reform DRM [5].
Table 1. Steps of the reaction for dry methane reform DRM [5].
Step (i)Chemical EquationReaction
1CH4 → C + 2H2Methane cracking
2C + CO2 → 2COBoudouard reverse reaction
3CO2 + H2 → CO + H2OReverse water gas shift reaction
Table 2. Reaction steps of the autothermal reform of methane ATRM [6].
Table 2. Reaction steps of the autothermal reform of methane ATRM [6].
Step (i)Chemical EquationReaction
1CH4 + 1/2O2 → CO + 2H2Partial oxidation of methane
2CH4 + 2H2O → CO2 + 4H2Steam reforming of methane
3CO2 + H2 → CO + H2OReverse reaction WGS
4CH4 → C + 2H2Methane cracking
5C + CO2 → 2COBoudouard reverse reaction
6C + O2 → CO2Carbon gasification
Table 3. Reaction steps of the combined methane reform CRM [7].
Table 3. Reaction steps of the combined methane reform CRM [7].
Step (i)Chemical EquationReaction
1CH4 +5/8 O2 ↔ CO + 7/4 H2 + ¼H2OPartial oxidation of methane
2CH4 → C + 2H2Methane cracking
3CO → 1/2C + 1/2CO2Boudouard reaction
4CO2 + H2  CO + H2OReverse reaction of WGS
Table 4. Characteristics of the catalytic system and operating conditions.
Table 4. Characteristics of the catalytic system and operating conditions.
Cat. BedOperationParameters
Ni (4.87%wt.)/γ-Al2O3Uo, 0.66 m s−1Dax, 7.89 × 10−4 m2 s−1
ε, 0.671023 K
ρcat, 2300 kg m−31.0 bar
dpt, 2.0 × 10−3 m
wcat, 10.4 g
Table 5. Composition of the reactor feed in the operation of the reform processes.
Table 5. Composition of the reactor feed in the operation of the reform processes.
ReactantDRM (mol m−3)ATRM (mol m−3)CRM (mol m−3)
CH411.42043
CO216.0-25
O2-4.01.7
H2O-1212
Table 6. Reaction rates of the dry reform of methane. Conditions: Ni (4.82 wt.%)/γ-Al2O3,1023 K, 1.0 bar [5].
Table 6. Reaction rates of the dry reform of methane. Conditions: Ni (4.82 wt.%)/γ-Al2O3,1023 K, 1.0 bar [5].
JConsumptionProductionRJ
CH4Step 1
k1 = 6.79 × 10−4 mol kg−1s−1
-r1
COStep 2
k2 = 9.89 × 10−6 (m3)2 mol−1kg−1s−1
Step 1
k1 = 6.79 × 10−4 mol kg−1s−1
2r1 + r3
H2-Steps 2, 3
k2 = 9.89 × 10−6 (m3)2 mol−1kg−1s−1
k3 = 3.94 × 10−4 m3 kg−1s−1
2r2 + r3
Table 7. Reaction rates of the autothermal reform of methane. Conditions: Ni(4.8 wt.%)/γ-Al2O3, 1023 K, 1.0 bar [6].
Table 7. Reaction rates of the autothermal reform of methane. Conditions: Ni(4.8 wt.%)/γ-Al2O3, 1023 K, 1.0 bar [6].
JConsumptionProductionRJ
CH4Steps 1, 2, 4
k1 = 1.31 × 10−1 mol/kg s
k2 = 8.30 × 10−2 (m3)2/kg s mol
k4 = 1.04 × 10−1 m3/kg s
-r1r2r4
COStep 3
k3 = 4.11 × 10−5 m3/kg s
Steps 1, 5
k1 = 1.31 × 10−1 mol/kg.s
k5 = 9.41 × 10−8 m3/kg s
2r1r3 + r5
H2Step 3
k3 = 4.11 × 10−5 m3/kg s
Steps 1, 2, 3, 4
k1 = 1.31 × 10−1 mol/kg s
k2 = 8.30 × 10−2 (m3)2/kg s mol
k4 = 1.04 × 10−1 m3/kg s
2r1 + 4r2r3 + 2r4
Table 8. Reaction rates of the combined reform of methane. Conditions: Ni (4.82 wt.%)/γ-Al2O3, 1023 K, 1.0 bar [7].
Table 8. Reaction rates of the combined reform of methane. Conditions: Ni (4.82 wt.%)/γ-Al2O3, 1023 K, 1.0 bar [7].
JConsumptionProductionRJ
CH4Step 1
k1 = 6.79 × 10−4 mol kg−1s−1
r1r2
COStep 2
k2 = 9.89 × 10−6 (m3)2 mol−1kg−1s−1
Step 1
k1 = 6.79 × 10−4 mol kg−1s−1
r1 + r3 + 2r5
H2-Steps 2, 3
k2 = 9.89 × 10−6 (m3)2 mol−1kg−1s−1
k3 = 3.94 × 10−4 m3 kg−1s−1
(7/4)r1 + 2r2r4
Table 9. Kinetic selectivities of products (H2, CO).
Table 9. Kinetic selectivities of products (H2, CO).
ReformKinetic Selectivities Sip (%, i = H2, CO)
ProductH2CO
DRM13.359.2
ATRM31.628.3
CRM86.15.1
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Knoelchemann, A.; Sales, D.C.S.; Silva, M.A.M.; Abreu, C.A.M. Performance of Alternative Methane Reforms Based on Experimental Kinetic Evaluation and Simulation in a Fixed Bed Reactor. Processes 2021, 9, 1479. https://doi.org/10.3390/pr9081479

AMA Style

Knoelchemann A, Sales DCS, Silva MAM, Abreu CAM. Performance of Alternative Methane Reforms Based on Experimental Kinetic Evaluation and Simulation in a Fixed Bed Reactor. Processes. 2021; 9(8):1479. https://doi.org/10.3390/pr9081479

Chicago/Turabian Style

Knoelchemann, Augusto, Deivson C. S. Sales, Marcos A. M. Silva, and Cesar A. M. Abreu. 2021. "Performance of Alternative Methane Reforms Based on Experimental Kinetic Evaluation and Simulation in a Fixed Bed Reactor" Processes 9, no. 8: 1479. https://doi.org/10.3390/pr9081479

APA Style

Knoelchemann, A., Sales, D. C. S., Silva, M. A. M., & Abreu, C. A. M. (2021). Performance of Alternative Methane Reforms Based on Experimental Kinetic Evaluation and Simulation in a Fixed Bed Reactor. Processes, 9(8), 1479. https://doi.org/10.3390/pr9081479

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