<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">EPE</journal-id><journal-title-group><journal-title>Energy and Power Engineering</journal-title></journal-title-group><issn pub-type="epub">1949-243X</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/epe.2020.122005</article-id><article-id pub-id-type="publisher-id">EPE-98296</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Engineering</subject></subj-group></article-categories><title-group><article-title>
 
 
  Numerical Study of Methane Dry Reforming Reaction in a Disk Reactor with Focused Solar Simulator
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Yarong</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jing</surname><given-names>Ding</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jianfeng</surname><given-names>Lu</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>School of Materials and Engineering, Sun Yat-sen University, Guangzhou, China</addr-line></aff><aff id="aff1"><addr-line>School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou, China</addr-line></aff><pub-date pub-type="epub"><day>11</day><month>02</month><year>2020</year></pub-date><volume>12</volume><issue>02</issue><fpage>59</fpage><lpage>72</lpage><history><date date-type="received"><day>16,</day>	<month>January</month>	<year>2020</year></date><date date-type="rev-recd"><day>14,</day>	<month>February</month>	<year>2020</year>	</date><date date-type="accepted"><day>17,</day>	<month>February</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Heat transfer and thermochem
  i
  cal energy storage process of methane dry reforming in a disk reactor with focused solar simulator was modeled and analyzed. The results showed that thermochemical energy storage efficiency of disk reactor can reach 28.4%, and that is higher than that of tubular reactor.
   
  The maximum reaction rate occurs at catalyst bed corner near the baffle, because the corner has high temperature and high reactant molar fraction. As reactant flow increases, methane conversion and thermochemical energy storage efficiency decrease as catalyst bed temperature and heat loss decrease.
   
  The
   
  thermochemical energy storage efficiency increased first and then decreased with methane molar ratio increasing, while
   
  methane conversion
   
  and the
   
  thermochemical energy storage efficiency increased with reactant temperature increasing.
   
  As catalyst bed porosity rises,
   
  methane conversion
   
  and
   
  thermochemical energy storage efficiency increased first and then decreased, and optimum porosity is 0.31.
 
</p></abstract><kwd-group><kwd>Methane Dry Reforming</kwd><kwd> Thermochemical Energy Storage</kwd><kwd> Focused Solar Simulator</kwd><kwd> Disk Reactor</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Solar energy is a kind of abundant clean energy, but the cost of energy development and utilization is high and the efficiency is low due to its dispersion and instability. Thermochemical energy storage technology is the most promising high-temperature energy storage method. Research in the past two decades has shown that solar thermal energy can effectively drive chemical conversion reactions [<xref ref-type="bibr" rid="scirp.98296-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.98296-ref2">2</xref>]. Methane dry reforming thermochemical energy storage is a form of efficient energy utilization that can convert solar energy into stable chemical combustion energy [<xref ref-type="bibr" rid="scirp.98296-ref1">1</xref>]. Its main advantages [<xref ref-type="bibr" rid="scirp.98296-ref2">2</xref>] include large storage capacity per unit of methane, high temperature reaction condition (&gt;600˚C), and full use of greenhouse gases CH<sub>4</sub> and CO<sub>2</sub>.</p><p>In recent years, solar reforming reactors are mainly developed into three types: indirectly heated reformer, tubular reformer-receiver and the windowed or volumetric reformer-receiver [<xref ref-type="bibr" rid="scirp.98296-ref3">3</xref>]. ASTERIX [<xref ref-type="bibr" rid="scirp.98296-ref4">4</xref>] [<xref ref-type="bibr" rid="scirp.98296-ref5">5</xref>] carried out solar steam reforming experiment of methane in the early 1990s, and studied details and related problems of process heat demand of industrial chemical process with solar energy and high temperature using indirect heating converter. The catalytically enhanced solar absorption receiver (CAESAR) [<xref ref-type="bibr" rid="scirp.98296-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.98296-ref7">7</xref>] test was used to determine the thermal, chemical, and mechanical properties of a commercial scale dish-shaped direct catalytic absorption receiver reactor under a series of steady-state and transient operating conditions. In order to perform an efficient carbon dioxide and water vapor reforming reaction, Weizmann Institute of Science designed a solar receiver with storage and transportation for high-temperature technology development, and tested it in a 480 kW reformer [<xref ref-type="bibr" rid="scirp.98296-ref8">8</xref>]. Jin et al. [<xref ref-type="bibr" rid="scirp.98296-ref9">9</xref>] proposed a methane reforming reactor with a compound paraboloid concentrator and a mesh porous ceramic. The simulation results show that compared with the traditional reactor design, the reactor design proposed in this study can improve the photochemical efficiency of solar methane conversion.</p><p>In addition to experimental research, the researchers conducted a large number of numerical simulation studies. Rubin et al. [<xref ref-type="bibr" rid="scirp.98296-ref10">10</xref>] proposed a numerical model based on Arrhenius equation for simulating methane steam reforming, and simulation results were in agreement with experimental results. Akpan et al. [<xref ref-type="bibr" rid="scirp.98296-ref11">11</xref>] established a reaction kinetics model for carbon dioxide methane reforming under Ni/CeO<sub>2</sub>-ZrO<sub>2</sub> catalyst through experiments and simulations. Akbanri et al. [<xref ref-type="bibr" rid="scirp.98296-ref12">12</xref>] established a three-dimensional microreactor model for simulating methane autothermal reforming in fuel cells, and studied the effects of airspeed, air/fuel ratio, water-fuel ratio and inlet temperature on the reaction. Wang et al. [<xref ref-type="bibr" rid="scirp.98296-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98296-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.98296-ref15">15</xref>] used combined method with Monte Carlo Ray Tracing method and Finite Volume Method to establish heat and mass transfer model coupled with thermochemical reaction kinetics for porous medium solar thermochemical reactor. The numerical results showed that concentrated solar irradiation affects reactor thermal performance, methane steam reforming chemical reaction rate and hydrogen production. Gu et al. [<xref ref-type="bibr" rid="scirp.98296-ref16">16</xref>] analyzed heat transfer and storage performance of steam methane reforming in tubular reactor with focused solar simulator by measurement and simulation. Fernando et al. [<xref ref-type="bibr" rid="scirp.98296-ref17">17</xref>] found that methane steam reforming in a fixed-bed reactor can efficiently store thermal energy in high temperature. Benguerba et al. [<xref ref-type="bibr" rid="scirp.98296-ref18">18</xref>] analyzed the effect of using different temperatures on the methane dry reforming performance in a fixed-bed catalytic reactor by a one-dimensional heterogeneous model.</p><p>At present, the research on methane dry reforming thermochemical energy storage process in enhanced reactor still need to be further investigated. In this paper, the thermochemical storage performance of methane dry reforming disk reactor was studied with focused solar simulator. The reactant flow, reactant methane molar ratio, reactant temperature and catalyst bed porosity were analyzed for mechanism of methane dry reforming process in the disk reactor, to find a new method to improve the methane conversion and energy storage efficiency of the system.</p></sec><sec id="s2"><title>2. Numerical Model</title><sec id="s2_1"><title>2.1. Model Introduction</title><p><xref ref-type="fig" rid="fig1">Figure 1</xref> describes physical model of a methane dry reforming disk reactor with</p><p>focused solar simulator. The reformer is a disk with radius of R<sub>3</sub> and height of H, and catalyst is also a disk with radius of R<sub>1</sub>. The inlet region and outlet region are separated by catalyst bed and two baffles. The outer surface with quartz glass at y = 0 is heated by concentrated heat flow from solar simulator.</p><p>The main reaction of methane dry reforming reaction is:</p><p>CH 4 + CO 2 ↔ 2 CO + 2 H 2 ,     Δ H m = + 247.3   kJ / mol (1)</p><p>The main side reaction is:</p><p>CO 2 + H 2 ↔ CO + H 2 O ,     Δ H s = + 41.1   kJ / mol (2)</p><p>Inlet mole fraction of methane is:</p><p>y = F CH 4 , i F CH 4 , i + F CO 2 , i (3)</p><p>where F CH 4 , i and F CO 2 , i denote inlet flow rates of methane and carbon dioxide under standard condition (1 atm, 20˚C), respectively.</p><p>Methane conversion is:</p><p>X CH 4 = F CH 4 , i − F CH 4 , o F CH 4 , i (4)</p><p>where F CH 4 , o is methane outlet flow under standard condition.</p><p>Carbon dioxide conversion rate is:</p><p>X CO 2 = F CO 2 , i − F CO 2 , o F CO 2 , i (5)</p><p>where F CO 2 , o is carbon dioxide outlet flow under standard condition.</p><p>The energy flow received by reactor from solar simulator is:</p><p>E i n = ∬ S w q r d S (6)</p><p>where q r is concentrated radiant heat flux on reactor surface, S w is surface area of reactor irradiate by solar simulator.</p><p>q r = q c exp ( − 1464.3 r 2 ) (7)</p><p>where q c denotes central heat flux, and r denotes radius from focus.</p><p>Thermochemical energy storage is:</p><p>Q c h = F CH 4 ⋅ X CH 4 ⋅ Δ H m v CH 4 + F CO 2 ⋅ ( X CO 2 − X CH 4 ) ⋅ Δ H s v CO 2 (8)</p><p>where v denote mole volume under standard condition. Δ H m and Δ H s are reaction heat of main reaction and side reaction.</p><p>Sensible heat increment is [<xref ref-type="bibr" rid="scirp.98296-ref18">18</xref>] :</p><p>Q s e = ∑ i ∫ T s T 0 F o , i ρ o , i c p , o , i d T (9)</p><p>where ρ o , i , c p , o , i are density and specific heat of species i in product, T s and T 0 are surrounding and outlet temperatures.</p><p>Thermochemical energy storage efficiency and total energy storage efficiency are:</p><p>η c h = Q c h E i n (10)</p><p>η t o t a l = Q t o t a l E i n = Q c h + Q s e E i n (11)</p></sec><sec id="s2_2"><title>2.2. Theoretical Assumption and Model</title><p>Based on existing experimental data, a three-dimensional model of disk reactor with solar simulator is established. The entire process is assumed to be steady, and fluid is assumed to be ideal gas. The model contains solid domain of reactor wall, fluid domain with porous media inside reactor. Catalyst bed is assumed as porous media.</p><p>The fluid zone includes inlet and outlet regions, and porous zone of catalyst bed. Continuity equation can be expressed as:</p><p>∂ ( ρ f u i ) ∂ x i = 0 (12)</p><p>where ρ f is density of mixed fluid, u i is superficial velocity vector based on the total cross-sectional area of fluid and porous medium.</p><p>Momentum conservation equation is expressed as:</p><p>∂ ∂ x j ( ρ f u i u j ) = ∂ ∂ x j ( μ ∂ u i ∂ x j ) − ∂ p ∂ x i + ρ f g i + S m , i (13)</p><p>where μ is dynamic viscosity, p is fluid pressure, g i is gravitational acceleration and S m , i is momentum source caused by flow in porous media. In the inlet and outlet regions, S m , i = 0 .</p><p>The momentum source for homogeneous porous media consists of viscosity loss term and inertia term as [<xref ref-type="bibr" rid="scirp.98296-ref19">19</xref>] :</p><p>S m , i = ( μ α u i + C 2 1 2 ρ f | u | u i ) (14)</p><p>The permeability and internal resistance factor [<xref ref-type="bibr" rid="scirp.98296-ref20">20</xref>] can be calculated as:</p><p>α = D p 2 150 γ 3 ( 1 − γ ) 2 (15)</p><p>C 2 = 3.5 D p 1 − γ γ 3 (16)</p><p>where D p is the diameter of catalyst particles.</p><p>During chemical reaction process, the fractions of reactants and products change, and mass transport equation is [<xref ref-type="bibr" rid="scirp.98296-ref19">19</xref>] :</p><p>∂ ∂ x j ( ρ f Y i u j ) + ∂ J i , j ∂ x j = r i (17)</p><p>where Y i , J i , j and r i are respectively mass fraction, diffusion flux and reaction rate for species.</p><p>Chemical reaction is assumed as volumetric reaction, and the reaction rate is calculated by standard Arrhenius equation as:</p><p>k = A e − E a / R T (18)</p><p>where A and E a mean pre-reaction factor and activation energy.</p><p>In solid zone of reactor wall, heat transfer is controlled by heat conduction, and its governing equation is:</p><p>∂ ∂ x i ( k w ∂ T w ∂ x i ) = 0 (19)</p><p>where T w is temperature of reactor wall, and k w is the thermal conductivity.</p><p>In fluid zone, energy conservation equation can be expressed as:</p><p>∂ ∂ x i ( ρ f c p u i T ) = ∂ ∂ x i ( k e f f ∂ T ∂ x i ) + S h (20)</p><p>where S h is energy source caused by chemical reaction, and k e f f is effective conductivity. S h is directly calculated by enthalpy difference of reactants and products.</p><p>The effective thermal conductivity is calculated as volume average of thermal conductivities of fluid and solid as [<xref ref-type="bibr" rid="scirp.98296-ref21">21</xref>] :</p><p>k e f f = γ k f + ( 1 − γ ) k s (21)</p><p>where k f and k s are conductivity of fluid and porous medium, respectively.</p><p>The heat loss from the reactor wall is primarily determined by natural convection and radiation. The boundary condition for heating surface is:</p><p>− k w ∇ T w = h n ( T w − T s ) + ε σ ( T w 4 − T s 4 ) − q r (22)</p><p>where h n is heat transfer coefficient of natural convection, σ is black body radiation constant, ε is emissivity, and T s is surrounding temperature.</p><p>The boundary condition of back surface is:</p><p>− k w ∇ T w = h n ( T w − T s ) + ε σ ( T w 4 − T s 4 ) (23)</p></sec><sec id="s2_3"><title>2.3. Calculation Condition and Model Validation</title><p>According to the experimental results, the pre-exponential factor and activation energy of the main reaction are A 1 = 1.2 &#215; 10 7 and E a 1 = 5.8 &#215; 10 7 J / kmol , and those of side reaction are A 2 = 31900 and E a 2 = 1.69 &#215; 10 7 J / kmol . The heating surface of the reactor is affected by the air-cooling system, and h h = 12.6   W / m 2 ⋅ K , while convective heat transfer coefficient on back side is h h = 4   W / m 2 ⋅ K . The emissivity ε of the outer wall surface of the reactor is 0.93, the ambient temperature was 25˚C, and the flow of the reactant inlet was uniform.</p><p>Yu et al. [<xref ref-type="bibr" rid="scirp.98296-ref22">22</xref>] experimentally measured tubular methane dry reforming reactor based on solar radiation, which is similar to present model. <xref ref-type="table" rid="table1">Table 1</xref> shows comparison of experimental and simulation results of methane conversion and thermochemical storage efficiency at different conditions. The results show that present numerical model is effective, and methane dry reforming energy storage system can be further analyzed.</p></sec></sec><sec id="s3"><title>3. Results and Discussions</title><sec id="s3_1"><title>3.1. Heat and Mass Transfer</title><p><xref ref-type="fig" rid="fig2">Figure 2</xref> shows temperature and main reaction rate distribution of disk reactor. The heat flux distribution of solar simulator conforms to Gaussian distribution, resulting in high energy near the focus which causes high temperature, so the temperature of catalyst bed is a corresponding circular distribution from the center to boundary. <xref ref-type="fig" rid="fig3">Figure 3</xref> shows molar fraction distribution of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Simulation and experimental comparison [<xref ref-type="bibr" rid="scirp.98296-ref22">22</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Condition (y = 0.5)</th><th align="center" valign="middle"  colspan="3"  >Methane conversion (%)</th><th align="center" valign="middle"  colspan="3"  >Thermochemical energy storage efficiency (%)</th></tr></thead><tr><td align="center" valign="middle" >Experiment</td><td align="center" valign="middle" >Simulation</td><td align="center" valign="middle" >Relative error</td><td align="center" valign="middle" >Experiment</td><td align="center" valign="middle" >Simulation</td><td align="center" valign="middle" >Relative error</td></tr><tr><td align="center" valign="middle" >q<sub>c</sub> = 702 kW/m<sup>2</sup>, F = 3 L/min</td><td align="center" valign="middle" >30.9</td><td align="center" valign="middle" >30.0</td><td align="center" valign="middle" >-2.90</td><td align="center" valign="middle" >4.02</td><td align="center" valign="middle" >3.69</td><td align="center" valign="middle" >8.15</td></tr><tr><td align="center" valign="middle" >q<sub>c</sub> = 714 kW/m<sup>2</sup>, F = 4 L/min</td><td align="center" valign="middle" >36.2</td><td align="center" valign="middle" >38.3</td><td align="center" valign="middle" >5.81</td><td align="center" valign="middle" >5.74</td><td align="center" valign="middle" >6.10</td><td align="center" valign="middle" >-6.34</td></tr><tr><td align="center" valign="middle" >q<sub>c</sub> = 678 kW/m<sup>2</sup>, F = 6 L/min</td><td align="center" valign="middle" >40.5</td><td align="center" valign="middle" >43.5</td><td align="center" valign="middle" >7.29</td><td align="center" valign="middle" >10.1</td><td align="center" valign="middle" >10.9</td><td align="center" valign="middle" >-7.66</td></tr></tbody></table></table-wrap><p>mixed gas. The main reaction rate reaches the maximum value at the corner of the catalyst bed near the baffle and decreases toward the center, because reactant molar fraction as methane increase correspondingly from the center to the boundary, while product molar fraction as hydrogen decrease from the center to the boundary.</p><p><xref ref-type="fig" rid="fig4">Figure 4</xref> shows parameter change in radial direction of catalyst bed. In top boundary of catalyst bed, the temperature corresponds to the distribution of incident energy flux, which gradually decreases from center to boundary. The main reaction rate first increases and then decreases in radial direction, and reaches a maximum value at the corner of catalyst bed baffle of x = 38.7 mm for the accumulation of reactants near the corners of catalyst bed baffle.</p></sec><sec id="s3_2"><title>3.2. Effect of Reactant Flow</title><p><xref ref-type="fig" rid="fig5">Figure 5</xref> describes the changes of methane conversion and thermochemical storage efficiency with reactant flow in disk reactor system. As the reactant flow increases, catalyst bed temperature and mixed gas outlet temperature decrease, and conversion of methane and carbon dioxide both are reduced, while the thermochemical energy storage efficiency increases. <xref ref-type="fig" rid="fig6">Figure 6</xref> describes the energy ratio of disk reactor as a function of reactant flow. As reactant flow increases, although the mixture gas outlet temperature decreases slightly, the sensible heat storage efficiency increases due to the increase in the total gas volume. The heat loss is reduced for wall temperature decreasing, so the total energy storage efficiency increases.</p></sec><sec id="s3_3"><title>3.3. Effect of Reactant Mole Fraction</title><p><xref ref-type="fig" rid="fig7">Figure 7</xref> presents methane conversion and storage efficiency in disk reactor with different methane molar ratio. As methane molar ratio of reactants increases, methane conversion gradually decreases. The thermochemical energy storage efficiency and total energy storage efficiency increase first and then decrease as</p><p>methane molar ratio increases, reaching a maximum value at y = 0.5, which is due to the best chemical reaction rate under the ideal molar ratio.</p><p><xref ref-type="fig" rid="fig8">Figure 8</xref> presents molar fraction in disk reactor. Increasing the proportion of carbon dioxide can promote the reverse reaction of water vapor shift reaction. As methane molar ratio of reactants increases, the amount of carbon dioxide gradually decreases, which reduces the likelihood of the reverse reaction of the</p><p>water vapor shift reaction going forward, thus the amount of by-product H<sub>2</sub>O produced will decrease. On the other hand, the production of H<sub>2</sub> gets the maximum at y = 0.5 under the ideal molar ratio.</p></sec><sec id="s3_4"><title>3.4. Effect of Reactant Temperature</title><p><xref ref-type="fig" rid="fig9">Figure 9</xref> describes methane conversion and energy storage efficiency in disk</p><p>reactor with different reactant temperature. As reactant temperature rises, methane conversion increases, because inside catalyst bed temperature increases, and then the reaction rate and methane conversion increase accordingly. Since the catalyst bed temperature in reactor does not increase significantly with the increase of reactant temperature, the sensible energy storage decreases significantly. Therefore, the thermochemical energy storage efficiency increases, and the total energy storage efficiency increases slightly and then gradually decreases, as shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>0.</p></sec><sec id="s3_5"><title>3.5. Effect of Catalyst Bed Porosity</title><p>The porosity of catalyst bed has important effect on heat and mass transfer process inside the reactor. <xref ref-type="fig" rid="fig1">Figure 1</xref>1 describes methane conversion and thermochemical energy storage efficiency in disk reactor with different catalyst bed porosity. The methane conversion and thermochemical energy storage efficiency both increase first and then decrease with the increase of catalyst bed porosity, and the optimal porosity is 0.31.</p></sec></sec><sec id="s4"><title>4. Conclusions</title><p>In this paper, heat transfer and energy storage performance of methane carbon dioxide disk reactor with concentrated heat flux were numerically studied, and conclusions are as follows:</p><p>1) The thermochemical energy storage efficiency of disk reactor can reach 28.4%, and that is remarkably higher than that of traditional tube reactor.</p><p>2) The maximum reaction rate occurs at catalyst bed corner near the baffle, because catalyst bed corner has high temperature and high reactant molar fraction.</p><p>3) The trends of methane conversion and thermochemical energy storage efficiency are similar. As the reactant flow increases, methane conversion and thermochemical energy storage efficiency decrease as catalyst bed temperature</p><p>and heat loss decrease.</p><p>4) Increasing reactant temperature is conducive to improving methane conversion and thermochemical energy storage efficiency.</p><p>5) As catalyst bed porosity increases, methane conversion and thermochemical storage efficiency increase first and then decrease, and optimum porosity is 0.31.</p></sec><sec id="s5"><title>Acknowledgements</title><p>This paper is supported by Natural Science Foundation of Guangdong Province (2017B030308004) and National Natural Science Foundation of China (U1601215, 51961165101).</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Wang, Y.R., Ding, J. and Lu, J.F. 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