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Natural Gas Conversion VI PDF

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Preface This volume contains peer-reviewed manuscripts describing the scientific and technological advances presented at the 6 ht Natural Gas Conversion Symposium held in Girdwood, Alaska on June 17-22, 2001. This symposium continues the tradition of excellence and the status as the premier technical meeting in this area established by previous meetings in Auckland, New Zealand (1987), Oslo, Norway (1990), Sydney, Australia (1993), Kruger National Park, South Africa (1995), and Taormina, Italy (1998). ehT 6 ht Natural Gas Conversion Symposium is conducted under the overall direction of the Organizing Committee chaired by Theo Fleisch (BP) and Ertrique Iglesia (University of California at Berkeley). The Program Committee was responsible for the review, selection, editing of most of the manuscripts included in this volume. A standing International Advisory Board has ensured the effective long-term planning and the continuity and technical excellence of these meetings. ehT members of each of these groups are listed below. Their essential individual contributions to the success of this symposium are acknowledged with thanks. ehT Editors gratefully acknowledge the generous financial support given by the Sponsors, who are listed below. ehT Editors acknowledge the talents and dedication of .sM Sarah Key, who patiently handled the details of the review, acceptance, and submission processes for the manuscripts in this volume. The Editors also thank the authors of these manuscripts for their help and patience during the arduous task of assembling this volume. ehT Editors Enrique Iglesia, University of California at Berkeley James J. Spivey, North Carolina State University oehT H. Fleisch, BP V1 Program eettimmoC Enrique Iglesia, Program Chair, University of California at Berkeley James J. Spivey, Program Co-Chair, North Carolina State University Carlos Apesteguia, INCAPE (Argentina) Manfred Baems, Institut fuer Angewandte Chemie Berlin-Adler (Germany) Calvin Bartholomew, Brigham Young University (USA) Alexis Bell, University of California ta Berkeley (USA) Steven Chuang, University of Akron )ASU( Burtron Davis, University of Kentucky (USA) Theo Fleisch, PB (USA) Krijn ed Jong, University of Utrecht (The Netherlands) Daniel Driscoll, U.S. Department of Energy (USA) Rocco Fiato, ExxonMobil (USA) Joep Font Freide (USA) Karl Gerdes, Chevron (USA) Anders Holmen, Norwegian University of Science dna Technology (Norway) Graham Hutchings, University of Wales (United Kingdom) Ben Jager, SASOL (South Africa) Eiichi Kikuchi, Waseda University )napaJ( yaJ Labinger, California Institute of Technology (USA) Johannes Lercher, Technische Universitat Munchen (Germany) Wenzhao ,iL Dalian Institute of Chemical Physics )anihC( Jack Lunsford, Texas A&M University (USA) Mario Marchionna (Italy) David Marler, ExxonMobil (USA) Claude Mirodatos, CNRS-Villeurbane (France) Julian Ross, University of Limerick )dnalerI( Jens Rostrup-Nielsen, Haldor Topsoe (Denmark) Domenico Sanfilippo, Snamprogetti )ylatI( Lanny Schmidt, University of Minnesota (USA) Stuart Soled, ExxonMobil (USA) Samuel Tam (USA) David Trimm, University of New South Wales (Australia) Wayne Goodman, Texas A & M University (USA) Charles Mims, University of Toronto )adanaC( vii Organizing eettimmoC Theo Fleisch, Co-Chair, BP Enrique Iglesia, Co-Chair, University of California-Berkeley Dennis Banasiak, Phillips Petroleum Mark Bendersky, Alaska Science & Technology Foundation Jeff Bigger, Syntroleum Rocco Fiato, ExxonMobil Safaa Fouda, CANMET Energy Technology Centre Mike Koleda, Energy Frontiers International Rob Motal, Chevron Ron Sills, PB James .J Spivey, North Carolina State University Venkat Venkataraman, U.S. Department of Energy International Advisory Board Carlos Apesteguia (Argentina) Manfred Baems (Germany) Theo Fleisch (USA) Anders Holmen (Norway) Graham Hutchings (United Kingdom) Enrique Iglesia (USA) Ben Jager (South Africa) Eiichi Kikuchi (Japan) Wenzhao Li (China) Jack Lunsford (USA) Ian Maxwell (The Netherlands) Claude Mirodatos (France) Julian Ross (Ireland) Jens Rostrup-Nielsen (Denmark) Domenico Sanfilippo (Italy) Lanny Schmidt (USA) David Trimm (Australia) vii Organizing eettimmoC Theo Fleisch, Co-Chair, BP Enrique Iglesia, Co-Chair, University of California-Berkeley Dennis Banasiak, Phillips Petroleum Mark Bendersky, Alaska Science & Technology Foundation Jeff Bigger, Syntroleum Rocco Fiato, ExxonMobil Safaa Fouda, CANMET Energy Technology Centre Mike Koleda, Energy Frontiers International Rob Motal, Chevron Ron Sills, PB James .J Spivey, North Carolina State University Venkat Venkataraman, U.S. Department of Energy International Advisory Board Carlos Apesteguia (Argentina) Manfred Baems (Germany) Theo Fleisch (USA) Anders Holmen (Norway) Graham Hutchings (United Kingdom) Enrique Iglesia (USA) Ben Jager (South Africa) Eiichi Kikuchi (Japan) Wenzhao Li (China) Jack Lunsford (USA) Ian Maxwell (The Netherlands) Claude Mirodatos (France) Julian Ross (Ireland) Jens Rostrup-Nielsen (Denmark) Domenico Sanfilippo (Italy) Lanny Schmidt (USA) David Trimm (Australia) iiiv uo$11opS Gold Alaska Science & Technology Foundation BP ExxonMobil Sasol-Chevron Shell Global Solutions United States Department of Energy Silver Conoco Phillips Petroleum Syntroleum Texaco Bronze Air Liquide ARCO ITM Syngas Alliance Natural Resources Canada Nexant Studies in Surface Science and Catalysis J.J. Spivey, E. Iglesia and T.H. Fleisch (Editors) (cid:14)9 2001 Elsevier Science B.V. All rights reserved. MODELING MILLISECOND REACTORS Lanny D. Schmidt Department of Chemical Engineering and Materials Science University of Minnesota Minneapolis MN 55455 ABSTRACT Catalytic partial oxidation processes at very short contact times have great promise for new routes to chemical synthesis from alkanes because they are capable of producing highly nonequilibrium products with no carbon formation using reactors that are much smaller and simpler than with conventional technology. We summarize some of the considerations which may be important in modeling and in interpreting partial oxidation processes. The gradients in these monolith reactors are typically 01 6 K/sec and 10 5 K/cm, and reactions are fastest in the regions of highest gradients. Therefore a conventional one- dimensional model may be highly inaccurate to describe these processes, particularly when used to attempt to decide between different reaction mechanisms. We argue that detailed modeling which includes detailed descriptions of reactor geometry, gas and solid properties, and surface and homogeneous reaction kinetics will be necessary to develop reliable descriptions of these processes. Even with detailed modeling, it may be necessary to consider the validity of these parameters under extreme reaction conditions. INTRODUCTION Oxidation processes in monolithic catalysts exhibit features not observed in conventional packed bed reactors because they operate with gas flow velocities of--1 rn/sec with open channel catalyst structures for effective contact times of the gases on the catalyst of typically 1 millisecond and produce kilograms of product per day with less than a gram of catalyst. These processes are autothermal and nearly adiabatic because the exothermic oxidation reactions heat the gases and the catalyst from room temperature to typical operating temperatures of ~ 1000oc and the rate of heat generation is too large for effective wall cooling. After lightoff, the reactions usually run to completion of the limiting reactant, so conversion and selectivities are independent of flow rates over typically an order of magnitude of residence time. A recently explored example is methane oxidation to synthesis gas CH4 + 1/202 ~ CO + 2H2, which occurs with 100% 02 conversion, >90% CH4 conversion, and >90% selectivity to CO and H2 (based on C and H respectively) on Rh catalyst coated on it-alumina foam monolithI. Another example is alkane oxidation to olefins2, for example, C2H6 + 1/202 >--- C2H4 + H20, which occurs with 100% 02 conversion, >70% C2H6 conversion, and -85% selectivity to ethylene on Pt- Sn catalyst coated on cz-alumina foam monolith. As a final example, the total oxidation of alkanes to CO2 and H20 CH4 + 202 >-- CO2 + 2H20 can be attained with >99% fuel conversion3. The oldest examples of monolith reactors with millisecond contact times are the Ostwald process to prepare nitric acid by ammonia oxidation NH3 + 5/402 ~-- NO + 3/2H20, and the Andrussow process to prepare HCN4, CH4 + NH3 + 02 ~-- HCN + 2H20 + H .2 Both of these processes take place on multiple layers of woven Pt-10%Rh gauze catalysts operating at 800 and 1100~ All of these processes occur with approximately millisecond contact times with the exothermicity of the reactions providing the energy to heat the gases and catalyst from room temperature to operating temperatures from 800 to 12~ in <10 3- .s We3-6 and many others7 have attempted to model these processes in detail to try to determine the mechanisms by which these product distributions are formed and to find conditions to optimize a particular product. We argue that these apparently simple processes are in fact far more complicated than the usual packed bed catalytic reactor assumptions used for typical modeling. First, the temperatures are sufficiently high that some homogeneous reaction may be expected to occur, even at very short reaction times. Second, the gradients in all properties are so large that all conventional assumptions may be inaccurate. It is the purpose of this manuscript to address these issues. ONE-DIMENSIONAL MODELS We first consider the geometry of millisecond reactors. These typically occur in open monolith catalyst structures which may consist of extruded, foam, or fiber ceramics or woven or sintered metal structures, as sketched in the left panel of figure .1 All of these structures can be approximated as a collection of tube wall reactors of length L and channel diameter d. One Dimensional Models Most simple models of these processes have assumed one-dimensional approximations3 to the geometries of figure .1 Radial mass and heat transfer are included through effective mass and heat transfer coefficients to the walls. Either plug flow (no axial mass or heat transfer in the gas) or models including axial diffusion (a boundary value problem) are assumed, and the resultant model is easy to solve even for many equations. The simplest approximation to the temperature is to assume a step change from the feed temperature (25~ to the final catalyst and gas temperature (~1000~ so that the energy balance can be ignored. Monolith temperatures typically vary by less than 100 ~ )a I,f 4, / /.//I _L i,':////i . . + I rT/I"//'///~5 0 L Z.--- 2 r/~,",rl/- ~'/" //~"- J 1ooo c) "-" I I i 25- , , __O|162 0 Q 0 0 )c I rzx / /////~' 0 i OQ@ i ~ '=~ d) t-.f/z/~///~--'-~ 25~ -" i - z erugiF .I Left :slenap tnereffiD monolith seirtemoeg approximated by a thgiarts .ebut Center :slenap elbissoP erutarepmet seliforp down eht .rotcaer Right :slenap elbissoP snoitacol of homogeneous noitcac~ and .semalf from front to back, so the assumption of constant wall temperature is reasonable. Gases should attain the wall temperature within a few channel diameters, so the temperatures should be constant within less than 1 mm of the entrance. The expected temperature profiles for gas and catalyst are sketched in curve a of the center panel of figure .1 Wall heat conduction is an important mechanism for backflow of heat which maintains the monolith and the gas isothermal, and the temperatures can be calculated by solving simultaneously for the gas and solid temperatures Tg and "Is, still in a one dimensional approximation. Upon heating from 25oc to 1000~ the kinematic viscosity increases by more than a factor of ,01 as do the thermal diffusivity and mass diffusivity. Since reaction occurs very quickly upon entering the monolith, these variations in properties near the entrance must be included in any calculation of reactor performance. Although Reynolds numbers are sufficiently small that laminar flow is a good approximation and heat transfer coefficients and solid thermal conductivities are sufficiently large that nearly isothermal gas and solid may be assumed, there may be serious problems in the one dimensional, plug flow assumption in approximating reactor behavior. First, most reaction appears to occur within a few tube diameters where the temperatures are varying strongly, so the large gradients in this region may be significant. Second, the gases strongly accelerate in the entrance region (typically by factors of 4 to 10), and the decoupling of the fluid flow from the reaction and temperature equations may lead to significant errors. TWO-DIMENSIONAL SIMULATION We have simulated quantitatively the temperature and velocity profiles for cold gases entering a hot tube for the reactions and conditions of the methane to syngas[6] and for ethane to ethylene[7]. These calculations were done using FLUENT to calculate fluid properties. All fluid properties are properly accounted for including temperature and mixture variations of diffusivities, thermal conductivity, and viscosity. We used the Hickman model[5,6] of syngas generation for the surface reaction mechanism. The CH ,4 temperature, and axial velocity profiles predicted by this model are shown in figure 2. The calculations shown are for three tube diameters: 0.025, 0.05, and 0.1 cm. These correspond to 80, 40, and 20 pores per linear inch which are typical foam ceramic sizes. The region shown is only the first millimeter near the entrance to the hot catalyst section. This section is preceded by an inert tube which produces a fully developed laminar flow profile before entering the catalytic section. The predicted velocity profile is especially interesting. Even though Red<30 throughout the entrance region and the velocity profiles before and within the catalyst section are parabolic, the axial velocity is not parabolic in the entrance region, and the velocity has a minimum in the center. A very thin boundary layer is established near the entrance to the catalytic section as the temperture and all properties vary strongly in very short distances. Mass noitcarf HC 4 Dnularo~vroT IK] Axial volooty Ira/s] .o~ ,.L lSa~ \~'~" -~:"~---- - ~ " "~"-~' ~~ I ~ "~~176176 ---''' I ,o,. o o o, ,o z )mnr( (cid:12)9 )mar( (cid:12)9 )mar( .OS20 o+~ -- ~ , , r 01251 (mm) 0000 i 0- )121 0- n052 .a2,s~ . .o.2,,~, o'o '" o!5- ~ :~!.o oo z (nvn) 0 s o.s o o (mm)o S z z (ram) o,500 ~ o.soo o- f )n~rf( oooo ojr~.o. o52.o- o.o 05 o.! )4 oo5 o o 5.0 !o oos.o- 0.0 0 5 z )mar( z )mm( z )mar( Figure 2. Calculated methane, temperature, and velocity profiles in a single cell of the reactor for syngas from methane. The concentrations predicted by one dimensional calculations must therefore be very different from those calculated using these "exact" calculations. The gradients in temperature, velocity, and composition are so large in the entrance region that only a "complete" simulation should be expected to yield more than qualitative conclusions. REACTIONS Mechanisms and heat generation Many modeling studies of these reaction systems have attempted to explain the reaction mechanism qualitatively by fitting proposed mechanisms to experimental data. In order to eliminate the large temperature gradients which exist in the millisecond reactor, these studies have frequently used either dilution with an inert such sa He or 2N or lower temperatures to slow down the rate of reaction so that intrinsic kinetics can be measured without interference from temperature or concentration gradients. It is our opinion that the changes caused by dilution or cooling can effectively disguise the kinetics to change the overall mechanism significantly. Two zone model Syngas formation has been suggested to proceed by either "direct" or "indirect" mechanisms. In the direct mechanism, reaction is initiated by 4I-IC decomposition followed by H atom dimerization and C oxidation to produce syngas. The "indirect" mechanism assumes that the first reaction step is total oxidation to CO2 and H20, and that CO and 2H are formed by reaction of the remaining CH4 with H20 and 2OC in methane reforming. These reactions would then occur in two distinct zones: an exothermic combustion zone where 02 is present and an endothermic zone without 02. .... It is important to note that, by the indirect mechanism, the primary reaction is extremely exothermic, while 2OC and H20 reforming are extremely endothermic. These sequential processes would tend to first pull the temperature up strongly and then pull it down strongly, so one should expect a large variation in temperature from front to back in the catalyst, even larger than would be predicted by heat losses through conduction. Olefins must be made by the initial formation of alkyl species, followed by H elimination to form the olefin, C2H6g ~ C2H5 ~ ~---4H2C C2H4 for either a surface reaction or a gas phase (steam cracking) reaction. Therefore, any indirect mechanism of partial oxidation suggests that there should be two different zones in the catalyst where different reactions dominate. These predictions are in strong contrast to a single mildly exothermic process, which is predicted by the direct processes.

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