production of liquid fuels from natural gas: by saiedeh
TRANSCRIPT
Production of Liquid Fuels from Natural Gas:
Simulation of Synthesis Gas and Fischer-Tropsch Reactors
by
SAIEDEH ARABI
Presented to the Faculty of the Graduate School of
The University of Texas at Arlington in Partial Fulfillment
of the Requirements
for the Degree of
DOCTOR OF PHILOSOPHY
Department of Mechanical and Aerospace Engineering
THE UNIVERSITY OF TEXAS AT ARLINGTON
MAY 2019
ii
Copyright Β© by Saiedeh Arabi Bolaghi 2019
All Rights Reserved
iii
Dedication
To my lovely parents, Pari & Vali and my love, Taha
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ACKNOWLEDGEMENTS
First and foremost, I would like to thank my advisor, Prof. Brian H. Dennis, for his
guidance throughout my studies as a graduate student at the University of Texas at
Arlington. It was a great fortune to have been given the opportunity to join his research
group. This work would not have been possible without his invaluable insights and his
commitment to excellence in research. Thanks are also due to Prof. Frederick
MacDonnell, for providing us with such great research project.
Next, I would like to give thanks to my committee members for their valuable time
and comments regarding this thesis.
I offer my regards to all Mechanical & Aerospace Engineering department faculty
and staff at University of Texas at Arlington, and all CREST members specially Dr.
Wilaiwan Chanmanee who supported me in any respect during the completion of my
experimental studies.
Most importantly, I would like to thank my love, Taha for his invaluable support,
love and caring and to my parents, Pari and Vali, and to my sister, Vahideh. I would not
be where I am today without their love and support.
December 6th, 2018
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ABSTRACT
Production of Liquid Fuels from Natural Gas:
Simulation of Synthesis Gas and Fischer-Tropsch Reactors
Saiedeh Arabi, Ph.D.
The University of Texas at Arlington, 2018
Supervising Professor: Brian Dennis
ABSTRACT
Gas to Liquid (GTL) processes chemically convert natural gas to valuable liquid
hydrocarbon products. The GTL process considered in this research is comprised of
three phases: 1) syngas production, 2) Fischer-Tropsch synthesis (FTS), and 3) product
separation. This study focuses on the simulation and optimization of a GTL process to
convert natural gas to more valuable liquid fuels.
In syngas production, steam methane reforming (SMR) is typically used although
it requires an external heat source due to the endothermic nature of the reaction. In
addition, the SMR approach produces syngas with a hydrogen to carbon monoxide ratio
that is not ideal for the FTS reaction. An alternative approach that combines partial
oxidation of methane (POX) and SMR in series is considered in this work. The heat
released in the exothermic POX stage drives the endothermic SMR stage resulting in an
auto-thermal reforming reaction (ATR) that is net exothermic. The resulting syngas
product has the ideal hydrogen to carbon monoxide ratio for FTS.
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The aim of this work is to establish numerical models for the ATR and FTS
reactor components of a GTL plant and study the impact of various input parameters on
the output of the overall system. Kinetic models were developed based on laboratory
data collected from a GTL pilot plant operating at UTA. A multiphysics finite element
model was developed to simulate a multi tubular packed bed reactor for FTS. The impact
of coolant flow rate and syngas space velocity on oil productivity and syngas conversion
was studied.
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Table of Contents
ACKNOWLEDGEMENTS ................................................................................................... 4
ABSTRACT ......................................................................................................................... 5
GAS TO LIQUID TECHNOLOGY .................................................................... 14 Chapter 1
Synthesis Gas Production ............................................................................................. 14
Catalytic Fischer-Tropsch Synthesis ............................................................................. 16
Product Workup ............................................................................................................. 16
Fischer-Tropsch Reactors ............................................................................................. 16
GTL MECHANISM ........................................................................................... 18 Chapter 2
Reforming Mechanism................................................................................................... 18
Reforming Technical Problems ..................................................................................... 20
CFD Modeling Background ........................................................................................... 20
Research Objectives ..................................................................................................... 21
PROCESS DESCRIPTION .............................................................................. 23 Chapter 3
Pilot Plant Process Description ..................................................................................... 23
Pilot Plant Demonstration .............................................................................................. 24
ASPEN HYSYS SIMULATION ......................................................................... 29 Chapter 4
GTL Process Simulation ................................................................................................ 29
Pilot Plant Simulation ..................................................................................................... 29
Kinetic Model ................................................................................................................. 33
CFD SIMULATION OF FISCHER-TROPSCH ................................................. 34 Chapter 5
Fixed Bed Reactor Modeling ......................................................................................... 34
Mathematical Model ...................................................................................................... 35
FT Plant Description ...................................................................................................... 36
Kinetics of FischerβTropsch Reactor ............................................................................ 39
RESULTS AND DISCUSSION......................................................................... 43 Chapter 6
Experimental Results ..................................................................................................... 43
Effect of Steam/NG Molar Ratio ................................................................................ 46
Simulation of Syngas and Oil Production ...................................................................... 56
CFD Simulation of Fischer-Tropsch Reactor................................................................. 63
Simulation Setup ........................................................................................................ 64
Parametric Study ....................................................................................................... 66
Conclusion and Summary ............................................................................................. 80
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ABBREVIATIONS ............................................................................................................. 81
APPENDIX A ..................................................................................................................... 82
REFERENCES .................................................................................................................. 84
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LIST OF FIGURES
Figure β3-1 Process Flow Diagram of The GTL Process Used in This Research Study ... 26
Figure β3-2 ATR Pilot Plant Used in This Research Study ................................................ 27
Figure β3-3 Burner Designed Used in This Research Study .............................................. 27
Figure β3-4 Vertical Single Tube FTR Used in This Research Study ................................ 28
Figure β3-5 Catalyst Type Used in Secondary Reformer ................................................... 28
Figure β4-1 Block Flow Diagram of GTL Process .............................................................. 31
Figure β5-1 Diagram of Multi Tubular Fixed Bed Reactor .................................................. 35
Figure β5-2 Schematic Design of Two-Step FT Reactor .................................................... 36
Figure β6-1 Structure of the Burner .................................................................................... 43
Figure β6-2 Schematic of proposed ATR ............................................................................ 44
Figure β6-3 Schematic Reformer Design ............................................................................ 46
Figure β6-4 Schematic Design of Primary and Secondary Reformer ................................. 46
Figure β6-5 H2/CO Experiment Ratio in Primary Reformer ................................................ 51
Figure β6-6 %CO Experiment in Primary Reformer ........................................................... 52
Figure β6-7 %H2 Experiment in Primary Reformer ............................................................. 52
Figure β6-8 %CO2 Experiment in Primary Reformer .......................................................... 53
Figure β6-9 H2/CO Experiment Ratio in Secondary Reformer ........................................... 53
Figure β6-10 % Unconverted CH4 In Secondary Reformer ................................................ 54
Figure β6-11 %CO Experiment in Secondary Reformer ..................................................... 54
Figure β6-12 %H2 Experiment in Secondary Reformer ...................................................... 55
Figure β6-13 %CO2 Experiment in Secondary Reformer ................................................... 55
Figure β6-14 Comparison of H2/CO Ratio in Experimental and ATR Simulation ............... 59
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Figure β6-15 %CO Simulation in ATR ................................................................................ 59
Figure β6-16 %H2 Simulation in ATR .................................................................................. 60
Figure β6-17 % Unconverted CH4 Simulation in ATR......................................................... 60
Figure β6-18 %H2O Simulation in ATR ............................................................................... 61
Figure β6-19 Simulation Study of CH4 Conversion in ATR ................................................. 61
Figure β6-20 GTL Process Flow Diagram in This Study to Get 50% Syngas Conversion . 62
Figure β6-21 Geometry of Fischer-Tropsch Reactor Used in This Research Study .......... 65
Figure β6-22 Mesh Layout Used in This Research Study .................................................. 65
Figure β6-23 Syngas Conversion Profiles of FT Reactor, Tinitial: 518.15 K ......................... 70
Figure β6-24 The Rate of C5+ Production In FT Reactor .................................................... 71
Figure β6-25 The Rate of C5+ Production in FT Reactor (Detailed View of Figure 6-17) ... 71
Figure β6-26 Oil Productivity for Different Amounts of Product Species ............................ 72
Figure β6-27 Syngas Conversion for Different Amounts of Product Species ..................... 72
Figure β6-28 3D Profiles of (a) Bulk Temperature, (b) CO Mass Fraction, (c) H2 Mass
Fraction, (d) C5+ Mass Fraction, (e ) H2O Mass Fraction, (f) CH4 Mass Fraction, (g) Bulk
Temperature at The Centerline of Tube (to get 50% syngas conversion, Tinitial: 518.15 K)
.......................................................................................................................................... 74
Figure β6-29 3D Profiles of (a) Coolant Temperature, (b) Bulk Temperature, (c) CO Mass
Fraction, (d) H2 Mass Fraction, (e ) H2O Mass Fraction, (f) C5+ Mass Fraction, (g) CH4
Mass Fraction and (h) Syngas Conversion (ucoolant/ufeed=5, Tinitial: 518.15 K) .................... 75
Figure β6-30 3D Profiles of (a) coolant Temperature, (b) bulk Temperature, (c) CO Mass
Fraction, (d) H2 Mass Fraction, (e ) H2O Mass Fraction, (f) C5+ Mass Fraction, (g) CH4
Mass Fraction and (h) Syngas Conversion (ucoolant/ufeed=1, Tinitial: 518.15 K) .................... 76
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Figure β6-31 Multi Tubular 3D Profiles of (a) Coolant Temperature, (b) Bulk Temperature,
(c) CO Mass Fraction, (d) H2 Mass Fraction, (e ) H2O Mass Fraction, (f) C5+ Mass
Fraction, (g) CH4 Mass Fraction and (h) Syngas Conversion (ucoolant/ufeed=15, Tinitial:
518.15 K) ........................................................................................................................... 78
Figure β6-32 3D Profiles of (a) Coolant Temperature Plane, (b) Coolant Temperature, (c)
Syngas Conversion (ucoolant/ufeed=2, Initial Temperature: 518.15 K) ................................. 78
Figure β6-33 Mass Fraction Rate of Reactants and Products in FT Tube ......................... 79
Figure β6-34 Bulk Temperature Profile in Different Volume Bed Fraction ......................... 79
Figure β6-35 Syngas conversion at the center tube in different feed temperature ............ 80
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LIST OF TABLES
Table β2-1 Reforming Technologies of Syngas .................................................................. 19
Table β4-1 Streams Conditions .......................................................................................... 31
Table β5-1 Lumped Kinetic Rate Expressions for Overall Syngas ..................................... 37
Table β5-2 The List of Kinetic Model Used in Sadeqzadeh et al. ....................................... 40
Table β5-3 Optimized Parameters for n Components Used in This Research Study ........ 42
Table β5-4 Optimized Parameters Considering C12 as A Product Used in This Study ...... 42
Table β6-1 Multi Channel Burner ........................................................................................ 44
Table β6-2 Mole Fraction of Feed Stream in Different Steam Flow Rates ......................... 44
Table β6-3 Feed Stream Used in Experimental Setup ....................................................... 46
Table β6-4 Primary Reformer Results of Selected Runs (Run 1-6) ................................... 48
Table β6-5 Primary reformer results of selected runs (Run 7-12) ...................................... 49
Table β6-6 Primary reformer results of selected runs (Run 13-18) .................................... 49
Table β6-7 Primary Reformer Results of Selected Runs (Run 19-21) ............................... 49
Table β6-8 Secondary Reformer Results of Selected Runs (Run 1-6) ............................... 50
Table β6-9 Secondary Reformer Results of Selected Runs (Run 7-12) ............................. 50
Table β6-10 Secondary Reformer Results of Selected Runs (Run 13-18) ......................... 50
Table β6-11 Secondary Reformer Results of Selected Runs (Run 19-21) ......................... 51
Table β6-12 Syngas Composition Result ............................................................................ 57
Table β6-13 Final Amount and Process Conditions for The Feed Flow Properties............ 57
Table β6-14 FT Products to Get 50% And 70% Conversion, Aspen Results ..................... 63
Table β6-15 Selectivity of Products, Aspen Results ........................................................... 63
Table β6-16 Physical Parameters in Single Tube Reactor ................................................. 66
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Table β6-17 Physical Parameters in Multi Tubular Reactor ............................................... 66
Table β6-18 Product Results in FT Reactor, 5 Species ...................................................... 68
Table β6-19 Product Results in FT Reactor, 9 Species ...................................................... 70
Table β6-20 The Effect of Coolant Velocity on Productivity ................................................ 78
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GAS TO LIQUID TECHNOLOGY Chapter 1
Gas-To-Liquids (GTL) technology was developed to account for limited crude oil
resources. The process of converting coal gasification to synthesis gas was developed by
Franz Fischer and Hans in effort to produce a high value of liquid hydrocarbons that later
became known as Fischer-Tropsch (F-T) synthesis. F-T synthesis was an experimental
success [1]. The syngas that is utilized in F-T synthesis can be produced from various
feed stocks like coal, natural gas, and biomass [2].
The GTL technologies can convert methane from the natural gas reserves to
liquid fuels and other valuable hydrocarbons that can then be easily and efficiently
transported [2, 3]. It is also noted that high quality diesel with a high cetane number
(close to 70), low aromatics (less than 1%), and low Sulphur (less than 5 ppm) can be
produced from GTL technologies [4].
The GTL process is comprised of three fundamental steps as given below:
The production of synthesis gas
Catalytic F-T synthesis
Product workup
A brief discussion of each of the above steps is given in the sections below.
Synthesis Gas Production
Synthesis gas is a mixture of hydrogen (H2) and carbon monoxide (CO)
commonly obtained from a variety of feed stocks, like natural gas, naphtha, coal,
biomass, waste, catalytic and non-catalytic partial oxidation, steam reforming, and Auto-
Thermal Reforming (ATR). ATR is the main method for producing synthesis gas. In non-
catalytic partial oxidation, the feed stream is mixed with oxygen in a combustion chamber
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operated at high temperatures (1200- 1500 ΒΊC). The following reactions take place during
combustion:
πΆπ»4 + 0.5π2 β πΆπ + 2π»2 + π Eq. 1-1
πΆπ»4 + 2π2 β πΆπ2 + 2π»2π + π ππ‘βππ πππ π ππππ πππππ‘ππππ Eq. 1-2
2πΆπ β πΆ + πΆπ2 π΅ππ’ππππ πππππ‘πππ, ππππππ πππππ Eq. 1-3
The main problem with this method is the formation of carbon black in the
combustion chamber which requires a carbon black removal section, and thus increases
the plant cost. In industry, partial oxidation yields synthesis gas with a low H2/CO ratio
(range of 0.5-2, depending on the feed) [5].
Catalysts partial oxidation are used to produce synthesis gas at temperatures in
the range of 673-1273 K. The advantages of catalytic partial oxidation over the non-
catalytic process are the low exothermic nature of the reaction and high reaction rates
leading to better conversion [10]. The main concern of this process is the commercial
aspect of the catalysts.
The steam reforming method is the most widely used process to produce
synthesis gas. In this method, the feed steam is passed over the catalyst (endothermic
reaction of the steam reforming method) and depends on the exothermic reaction of
partial oxidation. The reaction temperature is maintained by the heat of reaction. Lurgi
and Haldor-Topsoe detail the ATR process.
The reactions involved in steam reforming are given below:
π + πΆπ»4 + π»2π β πΆπ2 + π»2 Eq. 1-4
The water-gas shift reaction is the competing reaction and is responsible in
increasing the H2/CO ratio. The industrial steam reformers produce synthesis gas with
high H2/CO ratio (H2/CO = 3-7) [11].
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Catalytic Fischer-Tropsch Synthesis
The catalytic F-T synthesis is the most important step of the GTL process, as it is
in this step that high value products are produced. The syngas (H2+CO) undergoes a
polymerization reaction in the presence of a catalyst (Fe/Co/Ru-based) to produce a wide
range of products, like paraffins, olefins and oxygenates, often known as Syncrude. The
water-gas shift (WGS) reaction takes place only on iron (Fe) based catalysts. Rao et al.,
claim that the WGS reaction occurs on the catalytic sites with irreducible magnetite. On
the other hand, cobalt (Co) based catalysts are not WGS active. Iron, cobalt, ruthenium,
and nickel have the highest capacity to dissociate CO in the presence of H2, hence
making them excellent Fischer-Tropsch catalysts [9, 10]. The reaction conditions play a
crucial role in defining the product distribution. It is desirable to have heavier
hydrocarbons (C5+) as a major fraction due to their commercial value in the products.
Low temperatures (220-250 C), high pressure, and low a H2/CO ratio are the process
conditions favorable to heavy hydrocarbon production [14].
Product Workup
Syncrude from F-T synthesis mainly consists of high carbon number linear
hydrocarbons over a large boiling range. Hydrocracking of high carbon number paraffins
will give high quality gasoil (C4-C12 range). Hydrocracking has a low selectivity towards
C1-C3 hydrocarbons. Other processes, like isomerization, catalytic reforming, alkylation,
and oligomerization are used to increase the octane number of F-T wax [9, 11].
Fischer-Tropsch Reactors
High-Temperature-Fischer-Tropsch (HTFT) and Low-Temperature-Fischer-
Tropsch (LTFT) are the two main types of Fischer-Tropsch process technologies. In
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HTFT, as the operating temperature is high (320- 350 C), the major fraction of products
are short chain hydrocarbons, mainly comprised of propane, butane, and olefins [5]. The
operating pressure is about 2.5 MPa, and the conversion is more than 85% [17].
Fluidized bed reactors are used for the HTFT process. In LTFT, the low temperature
conditions (220- 240 C) lead to the formation of heavy hydrocarbons. In this process, the
Fischer-Tropsch reaction is preferred to a methanation reaction. The operating pressure
is in the range of 2-2.5 MPa, and the conversion is about 60% [8]. LTFT produces a
synthetic fraction of diesel, which is free of Sulphur and aromatics. Fixed-bed reactors
and slurry phase reactors are generally used for the LTFT process.
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GTL MECHANISM Chapter 2
Reforming Mechanism
The major component in a fuel processing system is the conversion of
hydrocarbon fuel to synthesis gas, which occur due to three main mechanisms in the
reforming reactor:
Steam reforming (SR), partial oxidation (POX), and auto-thermal reforming (ATR) [16].
The three fuel reforming reactions are expressed in Equations 2-1 through 2-3.
Steam Reforming:
πΆππ»π + ππ»2π β ππΆπ + (π +1
2π)π»2, βπ» > 0, πππππ‘βπππππ Eq. 2-1
Partial Oxidation:
πΆππ»π +1
2π2 β ππΆπ + (
1
2π)π»2, βπ» < 0, ππ₯ππ‘βπππππ Eq. 2-2
Auto thermal Reforming:
πΆππ»π +1
2ππ»2π +
1
4ππ2 β ππΆπ + (
1
2π +
1
2π)π»2, βπ» < 0, ππ₯ππ‘βπππππ Eq. 2-3
The approach with high hydrogen concentrations is steam reforming (SR), which
is a high endothermic reaction, which as is shown in Equation 2-3, requires a lot of heat
from some sources [15]. Hydrocarbon fuels like methane are converted to syngas by
partially oxidizing in POX, which is a highly exothermic reaction process according to
Equation 2-2, and the operating temperature range is from 1,100 ΒΊC to 1,200 ΒΊC to avoid
any coking in the chamber. POX has a fast start-up time compared to reforming and also
has a more rapid response [2,15]. POX includes two types of reactors: homogeneous
POX (NCPOX) and heterogeneous catalytic POX (CPOX). NCPOX is the reaction of
fuels with the oxygen at high temperature and pressure in the absence of any catalyst to
produce syngas [12].
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The NCPOX process needs temperatures in excess of 1000 ΒΊC. However, the
presence of catalyst in POX might decrease the operating temperature to 800-900 ΒΊC,
which enhances system efficiency. Moreover, the catalyst can only be used if the sulfur
content is below 50ppm in the fuel feed to avoid catalyst poisoning [23].
The combination of partial oxidation and steam reforming, which are exothermic
and endothermic reactions respectively, is called Auto-thermal reforming (ATR). The heat
released by POX can keep steam methane reformer, making the overall ATR reaction
gradually exothermic. The operating temperature in ATR is usually in the range of 900 ΒΊC
to 1150 ΒΊC, and the pressure is lower than partial oxidation [12]. In the outlet of ATR, the
H2/CO molar ratio is about 2 and is more attractive compared to the POX outlet. Table 2-
1 describes three advantages and disadvantages of syngas production through SR, POX,
and ATR [15].
Table 2-1 Reforming Technologies of Syngas [4]
Technologies Advantages Disadvantages
Steam Reforming
Most industrial experience
Oxygen not required
Lowest temperature
Highest H2/CO ratio
Slow startup
Highest air emissions
Heavy system
Heat source required
Partial Oxidation
Higher sulfur tolerance
No heat source required
Compact system
Fast startup
Low H2/CO ratio
Highest temperature
Coke formation
Oxygen or air required
Too much heat produced
Autothermal Reforming
Medium temperature
No heat source required
Favorable H2/CO ratio
Least coke formation
Relatively compact
Limited experience
Oxygen or air required
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Reforming Technical Problems
Several concerns for the performance and design of ATR for heavy hydrocarbon
fuels are described below:
One concern is that because there is no uniform distribution of temperature, local
hot-spots can be observed in the reforming, which causes local catalyst deactivation by
the local high temperature. Another concern is that coking may be produced because of
large carbon contents in the reforming system decreasing the effectiveness of the
catalyst [26]. Finally, the mixture of reactants, air, fuel, and steam could lead to coke
formation on the surface of the catalyst and also local hot spots.
Some efforts are done to minimize hot-spots like employing suitable materials for
reactors that have more effective heat transfer and improved uniform temperature
distribution. Stainless steel has suitable properties like thermal conductivity and high
temperature tolerance and can be used to solve the above-mentioned problem [32]. Flow
with high turbulence is the other approach to minimize the hot-spots by increasing the
heat transfer coefficient between the flow and solid works.
CFD Modeling Background
Computer design methodology is used to design the pilot and commercial plant
to achieve a high quality of fuels in the chambers. Some of the work focuses on
microchannel reactor computational fluid dynamics (CFD) simulation for different kinds of
reactors. The effect of buoyancy on reactor temperature and the determinants of partial
boiling coolant was studied by Arzmendi et al. using CFD [2]. Kshetrimayum et al. [16]
used the CFD model for a multichannel reactor to design FT reaction and analyze heat
transfer phenomena while studying the reaction to runaway situations. In addition, the
effect of coolant type and wall boiling condition were investigated with reactor
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temperature profile in 2D dimension. The effect of cannel geometry on the performance
of thermal microchannel reactor was studied by Na and Lee. Park et al. [19,20]. They
also investigated the reactorβs performance with different kinds of flow and coolant
channels. Recently, Jung et al. [21] proposed a strategy to optimize the size of the
reactor block in a pilot plant scale. Deshmukh et al. [11] simulated the reactor using 276
process channels and 132 coolant channels in cross-flow configuration.
Research Objectives
The optimal design of GTL process is presented in this paper. The developed
ATR and FT reactor is designed and described using nickel and cobalt catalysts,
respectively. GTL process was designed to obtain the desired molar ratio of H2/CO to
produce liquid hydrocarbon. This research is presented as follows:
In Chapter 3, a detailed description of GTL pilot plant is presented, and the effect
of steam flow rate on H2/CO molar ratio, CO, H2, CO2, and unreacted CH4 mole fraction is
studied. In Chapter 4, the simulation of pilot plant using Aspen Hysys (V.10) is described.
In addition, this Chapter explains the effect of various operation conditions of fuel feed,
and different amounts of H2O/CH4 on producing the desired molar ratio of H2/CO in the
outlet of POX and SMR. Also, the effect of different kinetic models is studied on both ATR
and FTR to achieve the higher efficiency of fuel. Finally, the whole energy required to
convert natural gas to liquid hydrocarbons by optimization of proper required of O2/CH4 is
minimized and calculated. In Chapter 5, two-dimensional and three-dimensional CFD
simulations of multi tubular Fischer-Tropsch reactor are studied to investigate the effect
of inlet syngas temperature, space velocity, and coolant temperature on selectivity of C5+
over a Co/Al2O3 catalyst. The distribution of bulk temperature, the pressure gradient
through a packed bed, and the composition of liquid hydrocarbons in the reactor outlet
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were determined by transport equations in porous media. The final section summarizes
results and finishes with how GTL technology can be progressed in the future.
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PROCESS DESCRIPTION Chapter 3
The GTL pilot plant examined in this research consists of three main process
units; a reforming unit that is split into primary and secondary reforming units where
syngas (CO + H2) is derived from natural gas, the FTR unit where jet fuel is converted
into liquid hydrocarbons, and a separation of products. This plant is capable of producing
1 LPD per reactor unit of jet fuel.
Pilot Plant Process Description
Figure 3-1 presents the process flow diagram of GTL pilot plant. This process is
split into three sections: 1) the methane reforming 2) the FT reaction, and 3) the product
separation unit. Boiler feed water, natural gas, and pure oxygen are fed to the reforming
and converted to syngas in the reforming section and then passed to the FT reaction
section as feed. Before entering the FT section, the water should be removed from
syngas. The reforming section consists of pre-processing, using primary and secondary
reforming units to heat up the steam, mixing natural gas and steam, and pressurizing the
natural gas to derive syngas. Boiler feed water (BFW) is received by a storage tank and
then pumped to the steam generator where it is produced. After mixing natural gas and
steam in the burner, pure oxygen which is supplied to the primary reformer section
passes through the burner before entering the secondary reformer.
The steam reforming and partial oxidation of methane are illustrated in Equation
3-1 and 3-2, respectively:
πΆπ»4 + π»2π β 3π»2 + πΆπ βπ»298Β° = 206.3 ππ½ πππβ Eq. 3-1
πΆπ»4 + 0.5π2 β 2π»2 + πΆπ βπ»298Β° = β35.6 ππ½ πππβ Eq. 3-2
The secondary reformer of methane controls the syngas ratio (H2/CO) in the
product stream. The H2/CO ratio is the key factor to produce high quality jet fuel. The
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reformer system including burner dimension, catalyst packed bed distance from flame,
and required steam flow rate has been successfully developed in this pilot plant. Besides
steam methane reformer and partial oxidation of methane reactions, complete
combustion of methane takes place at a high reactor temperature, which increases the
generation of CO2 in the product stream.
πΆπ»4 + 2π2 β 2π»2π + πΆπ2 βπ»298Β° = β880 ππ½ πππβ Eq. 3-3
Pilot Plant Demonstration
The overview GTL pilot plant is shown in Figure 3-2 to Figure 3-5. The GTL pilot
plant process includes three operating sections 1) the reformer 2) FT synthesis 3) and
the separator. In the pre-reformer section, oxygen and natural gas at room temperature
are passed through two annular tubes and after sparking, ignition occurs between 1000-
1100 Β°C. The flow then passes through the packed catalyst bed. In the secondary
reformer, Ni over Al2O3 catalysts are packed into the reactor. Two thermocouples are set
in the inlet and outlet catalyst bed. Also, the temperature and pressure are set to 1000β
500 Β°C and 1.5 bar, respectively. The total operation time of the reformer section to run
the entire range of variables, including ignition start-up time, takes approximately 8 days,
and after each run the process is repeated. The mass flow rate of steam, oxygen volume
flow rate, and volume ratio flow rate of oxygen to natural gas (O2/NG) are 0-3 lb/h, 18
LPM, and 0.6, respectively. Both the primary and secondary reformers are made of
stainless steel and are cooled by liquid water on the shell side. The pressure drop was
0.1-0.2 bar through the reformer section. The high temperature of the produced syngas
was reduced (βΌ30 Β°C) by a multi tubular heat exchanger and then chilled water was used
to trap saturated water in the syngas by cooling it down.
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FT reactor is kept in the operating conditions of 300 psig, 245 Β°C. Syngas is fed
to the top of FT reactor as shown in Figure 3-4. The reactor catalyst bed is kept under
250 Β°C using a PID controller. After that, hydrogen is applied at a flow rate of 20 LPM for
one day. The loaded supported catalyst is filled in the FT reactor with a total volume of
800 ml. A multiple thermocouple (10 positions) is put in the reactor to measure
temperature during FT synthesis, which allows for effective temperature control inside the
packed bed reactor. According to the exothermic reactions inside the reactor, to control
the temperature, an air blower is used to adjust the profile temperature inside the reactor
to prevent coking of the catalysts. Cobalt-based catalyst with a silica support (20 wt%
Co/SiO2) is used for the FT reaction. The products of the FT reaction are split into oil,
water, wax, and light hydrocarbons. The unconverted synthesis gas and FT tail gas
leaves the stream and is routed to the tail flare unit.
26
Figure 3-1 Process Flow Diagram of The GTL Process Used in This Research Study
During FT synthesis, the syngas from ATR in the pilot plant and gas product from
FTR are analyzed by gas chromatography (GC) (Shimadzu 2014). The GC is fitted with a
flame ionization detector (FID) and thermal conductivity detector (TCD) using helium and
argon as carrier gas, and has Molsieve 5A 80/100 mesh, HayeSep Q 80/100 mesh, and
Alumina PLOT #CP7568 capillary columns. The period time for the gaseous sample
analysis is 15 min. The unconverted synthesis gas and FT tail gas leaves the stream and
is routed to the tail flare unit. FT fixed bed reactor is maintained at operating conditions of
20 bar, 220 Β°C- 240 Β°C, and flow rate of 10 g/min.
27
Figure 3-2 ATR Pilot Plant Used in This Research Study
Figure 3-3 Burner Designed Used in This Research Study
Mix
CH4 & H2O
Pure O2
This Figure has been redacted
This Figure has been redacted
28
Figure 3-4 Vertical Single Tube FTR Used in This Research Study
Figure 3-5 Catalyst Type Used in Secondary Reformer
This Figure has been redacted
29
ASPEN HYSYS SIMULATION Chapter 4
GTL Process Simulation
The simulation of GTL process for natural gas conversion to high efficiency of
liquid hydrocarbons such as gasoline and diesel is considered in this study. The flow
sheet of the GTL pilot plant process is diagramed in Figure 4-1. The main problems that
are investigated in this study are how to reduce the high energy consumption and how to
increase the efficiency of the GTL process [27].
To optimize and simulate the entire pilot plant study the Aspen HYSYS is used,
which leads to a better understanding of the effect of the main parameters on producing
jet fuel. In this study O2/CH4, steam/CH4, and a proper kinetic model using both ATR and
FTR are selected as variables for optimization of all whole plants. Also, for study of ATR
and FTR simulations in Aspen HYSYS simulator, two types of reactors, conversion and
equilibrium reactors, are utilized.
Pilot Plant Simulation
The model is developed to simulate the reactions and the product formation
under various conditions and to determine the optimum operating conditions for the GTL
to maximize the formation of liquid hydrocarbon from methane combustion. Experiments
are also carried out to test the validity of the model proposed. The model is used to study
the product compositions under different operating conditions and different steam flow
rate. The product gases in the outlet of ATR and FT are optimized to produce the
required ratio of H2/CO and maximum liquid hydrocarbon using the equilibrium model.
The equilibrium conversion of the methane with oxygen and steam is calculated under
1.5 barg.
30
As explained previously, the ATR involves complex chemical reactions: 1) total
oxidation, 2) partial oxidation, 3) steam reforming, and 4) methanation and CO2 reforming
[25]. The ATR efficiency could be increased with simultaneous reactions in SR and POX
chambers. The appropriate choice of O2/CH4 and H2O/CH4 helps promote the process
without any extra heating [6]. Important parameter study in ATR simulation is H2O/CH4
molar ratio. The reactions set for the ATR simulations and FT reactor are listed in
Equation 4-1 through Equation 4-10.
ATR kinetics:
πΆπ»4 + 0.5π2 β 2π»2 + πΆπ Eq. 4-1
πΆπ»4 + 2π2 β 2π»2π + πΆπ2 Eq. 4-2
πΆπ + π»2π β π»2 + πΆπ2 Eq. 4-3
πΆπ»4 + π»2π β 3π»2 + πΆπ Eq. 4-4
πΆπ»4 + 2π»2π β 4π»2 + πΆπ2 Eq. 4-5
πΆπ»4 + πΆπ2 β 2π»2 + 2πΆπ Eq. 4-6
FT Kinetics:
πΆπ + 3π»2 β π»2π + πΆπ»4 Eq. 4-7
2πΆπ + 5π»2 β 2π»2π + πΆ2π»6 Eq. 4-8
3πΆπ + 7π»2 β 3π»2π + πΆ3π»8 Eq. 4-9
ππΆπ + (2π + 1)π»2 β ππ»2π + πΆππ»2π+2 Eq. 4-10
Paying attention to role of oxygen in ATR is important as it provides the heat
required for the secondary reformer and is powerful enough to cut down fuel into smaller
compounds. At a high ratio of oxygen to natural gas, the energy of fuel is converted to
heat rather than H2 production [18]. Simulations are done by varying the amount of the
H2O/CH4 ratio by the constant O2/CH4 ratio. The conditions of feed streams are described
in Table 4-1 for the simulation used in this study.
31
Figure 4-1 Block Flow Diagram of GTL Process
Table 4-1 Streams Conditions
Stream Temperature
[C] Mass Flow
[gm/h]
NG 25 1,180
Oxygen 25 1,545
Steam 350 0-680
The process flow diagram of the GTL pilot plant used in this simulation is
illustrated in Figure 4-1. Aspen HYSYS software is used to optimize the jet fuel
productivity. The Peng-Robinson (Peng) equation of state is considered as a
thermodynamic package in this study. In the GTL process, the first stage is related to
syngas production, which converts natural gas to the hydrogen and carbon monoxide
mixture. Several approaches are considered for synthesis gas generation. Producing
syngas is one of the most important parts of a GTL plant. In addition, in syngas
32
production, about 48% of the GTL cost investment is due to syngas. The H2/CO mole
ratio is the key factor that should be measured at the outlet of secondary reformer.
Operating temperature and pressure, the method of syngas production, and the amount
of steam are the parameters that effect the value of the H2/CO ratio [38]. Under 2.20
MPa, 850 Β°C , and 3 for steam to carbon ratio conditions, the ratio of H2/CO in the syngas
stream at the outlet of the auto thermal reactor is about 4.8, and it is decreased to 2.1 at
2.6 MPa and 1000 Β°C (same steam to carbon ratio) [27].
Low temperature is required in the steam methane reformer section. However,
because of endothermic reactions in SMR, large amounts of heat should be supplied.
Moreover, in this chamber a high ratio of H2/CO in the syngas stream is obtained (more
than 2), which is useless for the FT process and therefore needs some additional
treatment to control the high ratio of H2/CO like Pressure Swing Adsorption (PSA),
reverse water gas shift reactor, or adding pure CO2 to reach the proper ratio (around 2)
[28]. The SMR reactions listed in Equation 4-3 to 4-5 are supposed to reach chemical
equilibrium at the outlet of secondary reformer. Based on Chatelier's theory, to reach
higher conversion (Equation 4-3), the steam reforming of the methane reactions must
happen at high temperature, at a high ratio of steam to carbon (like NG), and under low
pressure. The required heat in the SMR section is supplied by generated heat in partial
and complete combustion of methane. Water gas shift (WGS) is the other reaction that
occurs in SMR. The most important ATR reactions because of high temperatures (around
1000 Β°C) in the chamber outlet are assumed in the equilibrium [23].
The primary reformer reactions are listed in Equation 4-1 and Equation 4-2.
According to Equation 4-7, methanation reactions are assumed to be in equilibrium. In
this study, the inlet operation temperature in the secondary reformer is considered 900
Β°C. The outlet temperature of the reformer is adjusted by applying a different oxygen
33
flowrate [20]. The hot syngas leaves the multi tubular heat exchanger (including 21 tubes)
and is then cooled down to 30 Β°C to remove the moisture before entering the FR unit.
Kinetic Model
In the FTR process, the basic estimation for lower syngas conversion (lower than
65%) is the first-order FT kinetics [17]. Linear kinetic models can be used in most FT
reactor simulations. Numerous complex studies have been completed on FT kinetic
models that have little credibility and therefore doubts in their accuracy remain [19]. The
kinetic model used in this study coupled through the Aspen HYSYS reaction set
simulates the plug FT reactor. The kinetic model is applied to simulate the second stage
of the GTL reaction and is used to calculate the syngas conversion. The kinetic model is
expressed in Equation 4-11. The Fischer-Tropsch (FT) reaction includes exothermic
reactions and the hydrocarbon chains are produced according to Equation 4-10.
βππΆπ,πΉπ =πππ»2ππΆπ
(1+πππΆπ)2 Eq. 4-11
π = 1010ππ₯π(β115
π π) πππ π . ππ. πππ2β Eq. 4-12
π = 3.5 Γ 10β23ππ₯π(192
π π) 1 πΎ. πππβ Eq. 4-12
The detailed of kinetic model using in both CFD simulation and Aspen HYSYS
are described in Chapter 5.
34
CFD SIMULATION OF FISCHER-TROPSCH Chapter 5
Fixed Bed Reactor Modeling
Numerous studies have been conducted on the lumped kinetic model, and there
are some problems with their results. One problem is that this kinetic model cannot
estimate the exact amount of heat released by exothermic reactions through the FT
reactor; however, the heat released producing one mole of decane is different than the
heat released producing one mole of methane. In fact, 156 kJ and 206 kJ of heat are
released per CO mole consumed in each case. These complicated FT reactions cannot
be estimated by one single equation like Equation 5-1:
πΆπ + 2π»2 β (βπΆπ»2 β) + π»2 βπ»298Β° = β152
ππ½
πππ Eq. 5-1
As discussed above, in the GTL process, syngas converts to liquid hydrocarbons
and the main products are synthetic gasoline and/or diesel. The disadvantage of the fixed
bed reactor is poor control of temperature gradient along the heat transfer phenomena.
However, this type of reactor does have benefits such as being flexible, low cost, and low
maintenance [4]. For this reason fixed bed reactors should be studied in terms of a large
number of parameters to have a better understanding of their behavior. Because the
kinetic model used in the FT reactor is an exponential function of temperature, if the
minimum requirement of coolant flow rate and temperature are not calculated, the
temperature inside the FT reactor rapidly increases and causes hot spots [5]. This
phenomenon leads the destruction of the catalyst bed and the structure of the shell in the
multi tubular FT reactor.
35
Mathematical Model
To design the multi-tubular reactor, the structure of the shell and tube heat
exchanger is considered. Each tube is packed by catalyst bed. As seen in Figure 5-1, the
coolant works to keep each tube in isothermal conditions. Therefore, it is necessary to
couple the behavior of the fluid in the shell section to the fluid in the tube.
Figure 5-1 Diagram of Multi Tubular Fixed Bed Reactor
The assumption is that each tube is eventually packed. In this model, it is
assumed that saturated liquid water is circulated in the shell section to keep the multi
tubular reactor working in isothermal conditions. The ratio of each tube length to diameter
(L/D) is set for the case study. In addition, to control temperature throughout the packed
bed reactor, the initial syngas temperature, initial coolant flow rate, and temperature are
the other variables that are studied in this research. The assumption is based on steady
state conditions. The FTS reactor is described in Equations 5-2 through 5-4.
ππΆπ + (2π + 1)π»2 β πΆππ»2π+2 + ππ»2π Eq. 5-2
ππΆπ + 2ππ»2 β πΆππ»2π + ππ»2π Eq. 5-3
πΆπ + π»2π β πΆπ2 + π»2 Eq. 5-4
36
Where β(πΆπ»2)π β is the methylene group polymerizing into a hydrocarbon chain.
Table 5-1 shows the lumped kinetic model over cobalt catalyst in FT reactor [8, 14].
Moreover, the detailed stationary equations studied in this chapter are described and the
related boundary conditions are illustrated in Equations 5-5 through 5-12.
FT Plant Description
As seen in Figure 5-2, the FTR in the commercial plant is considered a two stage
multi tubular reactor. In the first stage, 50% syngas conversion on cobalt catalyst is
desired. The FT plant is simulated by computational fluid dynamics in 3D geometry in
single tube and multi-tubular tubes. The syngas gas is fed through the top of the first
stage, and then passes through the packed bed. The FT product from first stage
(unconverted syngas) is removed from the bottom of the reactor tube and subsequently
fed to the top of the second stage of the reactor. The temperature profile is kept constant
by circulation of pressurized water in the shell section or through steam as a coolant.
Figure 5-2 Schematic Design of Two-Step FT Reactor
37
Table 5-1 Lumped Kinetic Rate Expressions for Overall Syngas
Kinetic Expression Reference
a πππ»2 [32, 31, 30]
b πππ»2π ππΆπ
π [31]
c πππ»2
ππΆπ
ππΆπ + 2ππ»2π
[29, 30]
d πππ»2
2 ππΆπ
ππΆπππ»2+ πππ»2π
[30]
e πππ»2
2 ππΆπ
1 + πππΆπππ»2
2 [31]
f πππ»2
ππΆπ
ππΆπ + πππΆπ2
[24]
g πππ»2
ππΆπ
ππΆπ + πππ»2π + πππΆπ2
[26,24]
h πππ»2
1/2ππΆπ
1/2
(1 + πππΆπ1/2
+ πππ»2
1/2)2 [25]
i πππ»2
1/2ππΆπ
(1 + πππΆπ + πππ»2
1/2)2 [30]
j πππ»2
ππΆπ
(1 + πππΆπ)2 [26]
Mass transfer of species in tube:
β. (βπ·πβππ) + π’. βππ = π π Eq. 5-5
Governing equation for Darcy flow:
β. (ππ’) = ππ Eq. 5-6
The velocity of Darcy flow is defined as:
π’ = βπΎππ
πβπ Eq. 5-7
The heat energy transport in multi tubular reactor and mixture fluid flow:
ππΆπu. βπ = β. (πΎπππβπ) + π Eq. 5-8
ππΆπu. βπ = β. (πΎπβπ) + π Eq. 5-9
38
π(π’π . β)π’π = β. [βππΌ + (π + ππ)(βπ’π + (βπ’π)π ) β
2
3(β. π’π)πΌ] β
β. [πππ(1 β π π) (π’π πππ βπ·ππ βππ
(1βππ)ππ) (π’π πππ β
π·ππ βππ
(1βππ)ππ)π
] + ππ + πΉ
Eq. 5-10
(ππ β ππ) {β. [ππ(1 β ππ)π’π πππ β π·ππβππ] +πππ
ππ
} + ππ(β. π’π) = 0 Eq. 5-11
π(π’π . β)π = β. [(π +ππ
ππ
)βπ] + ππ β ππ Eq. 5-12
π(π’π . β)π = β. [(π +ππ
ππ
)βπ] + πΆπ1
π
πππ β πΆπ2
π2
πππ Eq. 5-13
Inlet boundary conditions in porous media:
At π = 0 βΆ
οΏ½βοΏ½ (π, 0) = π’0 ββββ β Eq. 5-14
π(π, 0) = π0 Eq. 5-15
πΆπ(π, 0) = πΆπ,0 Eq. 5-16
π(π, πΏ) = πππ’π‘ Eq. 5-17
βπ§, π = 0: ππΆπ
ππ=
ππ
ππ= 0 Eq. 5-18
βπ§, π = π : οΏ½βοΏ½ (π , π§) = 0 Eq. 5-19
ππΆπ
ππ= 0 Eq. 5-20
βπ§, π = π : πΎππ
ππ= βπ(π β ππ) Eq. 5-21
βπ = K(0.023π π0.8ππ0.33) Eq. 5-22
(CFD) modeling used the software COMSOL Multiphysics 5.3, which has built-in
multi-physics modules to simulate the mass, energy, and momentum equation packages.
[29, 30]. The major aims in this study are: 1) increasing the efficiency of jet fuel and 2)
defining the kinetic model that can best predict the behavior of an FT reactor.
39
Kinetics of FischerβTropsch Reactor
The biggest challenge in designing an FT reactor is choosing the proper kinetic
modeling with special attention to the complexity of the reactionβs mechanism. Some
simulations are considered with syngas conversion and do not mention the selectivity of
different hydrocarbon fractions. For FT synthesis, iron and cobalt on various oxide
supports are manipulated. Although cobalt catalysts are more expensive compared to
iron ones, cobalt catalysts have a much higher resistance and are also less sensitive to
water. Only paraffin production is considered in this study (Equation 5-2). Cobalt catalyst
has weak activity versus the WGS reaction, and for simplicity Equations 5-3 and 5-4 are
neglected [40]. Here Arrhenius law is applied for the kinetic model and the parameters of
the kinetic model is detailed in Table 5-2. The monoxide carbon consumption rate and
other species involved in the FT reactor are listed from Equations 5-23 through 5-30:
ππΆπ = βππΉπ Eq. 5-23
With
ππΉπ =π.ππ₯π
(βπΈππ π )
.ππΆπππ»2
(1+π.ππ₯π(ββπ»ππ π )
.ππΆπ)
2 Eq. 5-24
According to the stoichiometry of Equation 5-2, the water formation rate is
calculated by:
ππ»2π = βππΆπ = ππΉπ Eq. 5-25
The production rates of light hydrocarbon like methane rC1 and ethane rC2 are
determined by Arrhenius law:
ππΆ1= π. ππ₯π(
βπΈππ π
). ππΉπ Eq. 5-26
ππΆ2= π. ππ₯π(
βπΈππ π
). ππΉπ Eq. 5-27
40
For other hydrocarbons higher than methane and ethane, the produced reaction
rates used are based on AndersonβSchultzβFlory theory (Equation 5-28). The constant
chain growth probability (Ξ±) is assumed to be 0.9. Therefore, the rate of hydrocarbons
production is given by:
For (n>2)
ππΆπ= πΌ. ππΆπβ1
Eq. 5-28
Also, according to Equation 5-2, the consumption rate of hydrogen is given by:
βππ»2= β (2π + 1). ππΆπ
ππ Eq. 5-29
And also
βππΆπ = 1. ππΆ1+ 2. ππΆ2
+ 3. ππΆ3+ β―+ π. ππΆπ
= β π. ππΆπ
ππ Eq. 5-30
The kinetics parameters and activation energy used in this study is reported by
Sadeqzadeh et al. (2012) and shown in Table 5-3.
Table 5-2 The List of Kinetic Model Used in Sadeqzadeh et al.
Parameter Value Unit
a 7.17Γ 107 m6.kgcat
-1.mol
-1s
-1
b 44.93 m3mol
-1
d 3.08Γ 107 -
e 2.01Γ 103 -
Ea 100 kJ.mol-1
Eb 20 kJ.mol-1
Ed 81 kJ.mol-1
Ee 49 kJ.mol-1
As the first step, a simple model using chemical reaction rate equations is made
and a system of differential equations is constructed. For each chemical reaction included
in the system, the chemical equilibrium equation that incorporates reaction rate is written.
The values for some of the reaction rates are the uncertainties of this model and the aim
of this research is to find optimum values. One goal is to match the experimental results
41
as much as possible. For the simple model, a good agreement with the lab experiments
is difficult to achieve. The solution of the system gives a concentration of all the chemical
species as a function of time. The final values of the concentrations are converted to the
appropriate quantities measured in the experiment. Next, an objective function on errors
between measured and simulated values is defined. A low objective function value close
to zero indicates a good fit. An optimization problem with the defined objective function to
find the optimum set of values for the uncertain reaction rates is created. Two reaction
rates for CH4 and all other hydrocarbons are modified so that a new temperature
dependency is created that can be manipulated. Specifically, two extreme experimental
results in the lower and higher bounds of the temperature window where the simulation
and experiment differ are found. Finally, the modified equations are chosen to
compensate for the difference, and the model is fit to the data.
Optimized Parameters and kinetic models:
For n components (case 1):
ππΉπ =πΎπ.ππΆπππ»2
(1+πΎπ.ππΆπ)2 Eq. 5-31
ππΆ1= πΎπ . ππΉπ Eq. 5-32
ππΆπ= πΌπβ2πΎπ . ππΉπ π = 2, β¦π Eq. 5-33
πΎπ = π. ππ₯π(βπΈππ π
) Eq. 5-34
πΎπ = π. ππ₯π(βπΈππ π
) Eq. 5-35
πΎπ = π. ππ₯π(
βπΈππ ππ(π)πΎπ
) Eq. 5-36
πΎπ = π. ππ₯π(
βπΈππ ππ(π)
) Eq. 5-37
π(π) =πβ470
255β200 Eq. 5-38
42
Table 5-3 Optimized Parameters for n Components Used in This Research Study
Parameter Initial Guess Fitted Value Unit
a 26.77Γ 103 31.79Γ 103 m6.kgcat
-1.mol
-1s
-1
b 3.69 2.955 m3mol
-1
d 2.08E8 184460528 -
e 6.65E3 5332 -
πΌ 0.9 0.7559 -
Ee 49 48.142 kJ/mol
Simplified model (Using C12H26 as an average of products, case 2):
ππΆπ = βππΆ1β οΏ½Μ οΏ½. ππΆπππ
Eq. 5-39
ππ»2= β3. ππΆ1
β (2οΏ½Μ οΏ½ + 1)ππΆπππ Eq. 5-40
ππ»2π = ππΆ1+ οΏ½Μ οΏ½. ππΆπππ
Eq. 5-41
ππΆπ»4= ππΉπ . π. ππ₯π
(βπΈπ
π ππ(π)πΎπ) Eq. 5-42
ππΆπππ= ππΉπ . π. ππ₯π
(βπΈπ
π ππ(π)) Eq. 5-43
οΏ½Μ οΏ½ = 12
πΎπ = π. ππ₯π(
βπΈππ ππ(π)πΎπ
) Eq. 5-44
πΎπ = π. ππ₯π(
βπΈππ ππ(π)
) Eq. 5-45
π(π) =πβ470
255β200 Eq. 5-46
Table 5-4 Optimized Parameters Considering C12 as A Product Used in This Study
Parameter Initial Guess Fitted Value Unit
a 26.77Γ 103 31.79Γ 103 m6.kgcat
-1.mol
-1s
-1
b 3.69 3.187 m3mol
-1
d 2.08E08 201465553 -
e 6.65E03 8004.9 -
πΎπ 1 48.142K 1.1989
43
RESULTS AND DISCUSSION Chapter 6
In this chapter results are illustrated in three parts: 1) ATR experiment, 2) Aspen
HYSYS simulation of GTL, and 3) CFD simulation of results. The description of the entire
GTL plant as constructed is explained in Chapter 4. All results are generated based on
50% syngas conversion using suitable and modified kinetic models.
Experimental Results
As discussed in chapter 3, in the auto thermal reforming (ATR) pilot plant, the
natural gas and oxygen passed through two concentric tubes. The experimental tests
were carried out in ATR, which includes a burner, non-catalyst partial oxidation (NCPOX),
and Steam Methane Reforming (SMR). Natural gas and the oxidizer in room temperature
were injected into the chamber through a multi-channel burner (Figure 6-1). In Table 6-1,
the feed stream operating conditions and burner geometric parameters are illustrated. A
different amount of steam flow rate in 1.5 psig was injected into the reformer with natural
gas. Table 6-2 shows the information of feed streams to the reformer chamber. By
controlling the O2/CH4 ratio in the feed stream of the primary reformer, the operating
temperature range was kept between 900β1000 β to produce a lower syngas (H2/CO)
ratio compared to the secondary reformer. The schematic geometry of the burner and
pilot plant ATR is shown in Figure 6-2 and Figure 6-3.
Figure 6-1 Structure of the Burner
44
Table 6-1 Multi Channel Burner
Channel OD Diameter
(in.) Feed stream
Flowrate (LPM-lb/h)
Temperature (K)
1 1/4 Natural Gas/H2O 30/(0-3) 298.15/623.15
2 3/8 O2 18 298.15
Table 6-2 Mole Fraction of Feed Stream in Different Steam Flow Rates
Composition Steam (lb/h)
0 0.5 1 1.5 2 2.5 3
CH4 0.6274 0.5692 0.5209 0.4801 0.4453 0.4152 0.3889
C2H6 0.0139 0.0127 0.0116 0.0107 0.0099 0.0092 0.0086
O2 0.3586 0.3254 0.2977 0.2744 0.2545 0.2373 0.2223
H2O 0 0.0928 0.1698 0.2347 0.2903 0.3383 0.3802
Figure 6-2 Schematic of proposed ATR
As shown in Figure 6-3, the chamber was designed to be 24 ft. in length, have an
internal diameter of 7.5β, and includes insulation and a shell section to promote cooling.
The catalyst packed bed has a length of 12β, dimeter of 7.5β, and weight of 5.3 kg, and it
This Figure has been redacted
45
was located 8β away from the flame. Qubic Ni/Al2O3 catalysts were placed in the reactor
in order to achieve a higher H2/CO ratio. As shown in Figure 6-2, the inlet and outlet
temperature was observed through two thermocouples in two different zones in the
chamber (TC-01 and TC-02).
Feed stream (oxygen and natural gas) delivery to the chamber was adjusted by
Brooks and Alicat mass-flow controllers. The water was pumped to a coil heater and
vaporized at the beginning of the tube to the chamber, before being mixing with natural
gas. The steam tubes were covered by insulation. Two pressure indicators connected to
the chamber monitored the pressure upstream and downstream the catalytic bed. Two
K-type thermocouples were used to measure the temperature profile through the packed
bed reactor in the secondary reformer. To cool down the produced syngas in the catalyst
bed, it was passed through a multi-tubular heat exchanger. Temperature (TC-03) and
pressure indicators downstream the chamber were used to observe and record the
changes in the process. Two different experiments, both with and without the catalyst bed
in the chamber, were conducted to study the methane conversion and syngas selectivity
through chamber.
To investigate the CO, H2, CO2, and unconverted CH4 mole percentage, the
analysis of the outlet dry base gas composition was done by GC. The feed stream mole
fractions for the experimental set up in the reformer for both the non-catalyst and catalyst
chambers are specified in Table 6-3. The details of the ATR pilot plant used in this study
are shown in Figure 6-4.
46
Figure 6-3 Schematic Reformer Design
Figure 6-4 Schematic Design of Primary and Secondary Reformer
Table 6-3 Feed Stream Used in Experimental Setup
Parameter Value
Natural gas flow rate [LPM] 18
Oxygen flow rate/Natural gas flow rate [LPM] 0.6
Steam flow rate [Ib/h] 0-3
Effect of Steam/NG Molar Ratio
In the present work, the effect of the Steam/NG molar ratio on composition of
syngas stream was investigated in the porous and non-catalyst zone. Also, the required
steam flow rate to get a value of 2 for the H2/CO ratio in gas stream was studied. The
operating pressure and O2/NG volume ratio were 1.5 barg and 0.6, respectively, through
This Figure has been redacted
47
the ATR pilot plant setup. TC-01, TC-02, and TC-03 were observed at 950 ΒΊC, 888 ΒΊC,
and 30 ΒΊC without the catalyst bed, and 950 ΒΊC, 550 ΒΊC, and 30 ΒΊC in the catalyst bed.
Endothermic reactions through porous media, causes decreasing in temperature gradient
in the secondary chamber. The values of the steam/NG mole ratio, 0, 0.16, 0.31, 0.47,
0.63, 0.78 and 0.94, are selected in this research.
It is generally agreed that the methane conversion to syngas in auto thermal
reforming occurs in five steps. The main reactions are given below:
πΆπ»4 + 0.5π2 β 2π»2 + πΆπ Eq. 6-1
πΆπ»4 + 2π2 β 2π»2π + πΆπ2 Eq. 6-2
πΆπ + π»2π β π»2 + πΆπ2 Eq. 6-3
πΆπ»4 + π»2π β 3π»2 + πΆπ Eq. 6-4
πΆπ»4 + 2π»2π β 4π»2 + πΆπ2 Eq. 6-5
To get the steady-state condition, before sampling the gas stream from GC, the
reformer was run for about 12 hours. Then gases were sampled every 5 mins. The
results for primary and secondary reformers are displayed in Tables 6-4 through 6-11 and
reported every 4 hours. No significant changes in gas compositions within 4 h were
observed.
However, the secondary reformer was seen to have lower carbon dioxide
because of water gas shift reaction, higher hydrogen and H2/CO ratio content in gas
product compared with primary reformer, and a decrease in the bed temperature from
980 ΒΊC to 550 ΒΊC. Increasing the steam flow rate is favorable for water-gas shift methane
reforming reactions (Eq. 6-3 and 6-4) and causes a decrease in packed bed temperature.
The effect of the steam/NG ratio on the gas compositions are shown in Figures
6-5 through 6-8 in the primary reformer, and Figures 6-9 through 6-13 in the secondary
reformer. It can be observed that the CO and H2 mole percentage, with the rise of
48
steam/NG ratio, decreases and increases respectively, and the ratio of H2/CO shows the
trend of the increase.
The steam/NG ratio with a value of 0.31 was able to reach the desired H2/CO
ratio of 2, which is favorable as a feed stream for Fischer-Tropsch reactor. However,
when the steam/NG ratio increases, the increasing in CO2 amount is observed which is
not suitable for FT reactor and absorbing CO2 is an important challenge these days.
The effects of the steam/NG mole ratio on the syngas H2/CO mole ratio, CO, H2,
and CO2 compositions in syngas streamline at the outlet of primary chamber are shown
in Figures 6-5 through 6-10, and the results are compared with secondary reformers (see
Figures 6-11 to 6-14). By increasing the steam/NG mole ratio, the increase in H2/CO is
observed in the stream gas product, which confirms the effect of higher steam flow rates
on the H2/CO ratio in the Aspen simulation in the next section. Also, adding the steam is
useful to protect the burner.
Table 6-4 Primary Reformer Results of Selected Runs (Run 1-6)
Run Run 1 Run 2 Run 3 Run 4 Run 5 Run 6
O2 [LPM] 18 18 18 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6 0.6 0.6 0.6
Steam/NG [mol/mol] 0 0 0 0.16 0.16 0.16
TC-01/TC-02 ( C) 968/890 950/891
H2 (%) 40.8 40.8 40.8 40.3 40.3 40.3
CO (%) 28.9 28.9 28.9 28.0 28.0 28.0
CO2 (%) 6.65 6.63 6.63 7.55 7.55 7.54
CH4 (%) 23.1 23.1 23.1 22.1 22.0 22.1
H2/CO 1.38 1.38 1.38 1.43 1.43 1.43
This Table has been redacted
49
Table 6-5 Primary reformer results of selected runs (Run 7-12)
Run Run 7 Run 8 Run 9 Run 10 Run 11 Run 12
O2 [LPM] 18 18 18 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6 0.6 0.6 0.6
Steam/NG [mol/mol] 0.31 0.31 0.31 0.47 0.47 0.47
TC-01/TC-02 ( C) 950/890 948/887
H2 (%) 40.2 40.2 40.1 39.7 39.7 39.7
CO (%) 27.7 27.7 27.7 25.9 25.9 25.9
CO2 (%) 8.55 8.55 8.55 9.43 9.45 9.44
CH4 (%) 22.3 22.3 22.3 23.0 23.0 23
H2/CO 1.45 1.45 1.45 1.47 1.47 1.47
Table 6-6 Primary reformer results of selected runs (Run 13-18)
Run Run 13 Run 14 Run 15 Run 16 Run 17 Run 18
O2 [LPM] 18 18 18 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6 0.6 0.6 0.6
Steam/NG [mol/mol] 0.63 0.63 0.63 0.78 0.78 0.78
TC-01/TC-02 ( C) 950/890 950/888
H2 (%) 36.8 36.8 36.8 35.7 35.8 35.7
CO (%) 24.9 24.9 24.9 24.1 24.1 24.1
CO2 (%) 10.3 10.3 10.3 11.1 11.1 11.1
CH4 (%) 24.3 24.3 24.3 26.5 26.0 26.1
H2/CO 1.48 1.48 1.48 1.48 1.49 1.48
Table 6-7 Primary Reformer Results of Selected Runs (Run 19-21)
Run Run 19 Run 20 Run 21
O2 [LPM] 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6
Steam/NG [mol/mol] 0.94 0.94 0.94
TC-01/TC-02 ( C) 950/890
H2 (%) 34.5 34.5 34.5
CO (%) 23.0 23.1 23.0
CO2 (%) 11.8 11.8 11.8
CH4 (%) 27.1 26.9 27.0
H2/CO 1.49 1.49 1.49
This Table has been redacted
This Table has been redacted
This Table has been redacted
50
Table 6-8 Secondary Reformer Results of Selected Runs (Run 1-6)
Run Run 1 Run 2 Run 3 Run 4 Run 5 Run 6
O2 [LPM] 18 18 18 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6 0.6 0.6 0.6
Steam/NG [mol/mol] 0 0 0 0.16 0.16 0.16
TC-01/TC-02 ( C) 950/558 950/555
H2 (%) 54.9 54.9 54.9 55.8 55.7 55.7
CO (%) 31.0 30.9 31 29.4 29.4 29.4
CO2 (%) 6.52 6.52 6.51 7.6 7.62 7.62
CH4 (%) 7.3 7.3 7.31 6.79 6.78 6.78
H2/CO 1.77 1.77 1.77 1.89 1.89 1.89
Table 6-9 Secondary Reformer Results of Selected Runs (Run 7-12)
Run Run 7 Run 8 Run 9 Run 10 Run 11 Run 12
O2 [LPM] 18 18 18 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6 0.6 0.6 0.6
Steam/NG [mol/mol] 0.31 0.31 0.31 0.47 0.47 0.47
TC-01/TC-02 ( C) 950/550 950/551
H2 (%) 55.1 54.9 55.1 56.7 56.7 56.7
CO (%) 27.5 27.5 27.5 27.9 28 27.9
CO2 (%) 8.75 8.76 8.75 9.25 9.25 9.25
CH4 (%) 6.58 6.57 6.57 6.29 6.29 6.28
H2/CO 1.99 2.03 2.02 2.05 2.04 2.05
Table 6-10 Secondary Reformer Results of Selected Runs (Run 13-18)
Run Run 13 Run 14 Run 15 Run 16 Run 17 Run 18
O2 [LPM] 18 18 18 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6 0.6 0.6 0.6
Steam/NG [mol/mol] 0.63 0.63 0.63 0.78 0.78 0.78
TC-01/TC-02 ( C) 950/890 950/888
H2 (%) 57.4 57.4 57.4 57.6 57.6 57.6
CO (%) 26.2 26.2 26.1 25 25.1 25.1
CO2 (%) 9.79 9.78 9.79 10.9 10.8 10.9
CH4 (%) 5.93 5.93 5.93 5.01 5.02 5.02
H2/CO 2.19 2.19 2.19 2.28 2.28 2.29
This Table has been redacted
This Table has been redacted
This Table has been redacted
51
Table 6-11 Secondary Reformer Results of Selected Runs (Run 19-21)
Run Run 19 Run 20 Run 21
O2 [LPM] 18 18 18
O2/Natural gas [vol/vol] 0.6 0.6 0.6
Steam/NG [mol/mol] 0.94 0.94 0.94
TC-01/TC-02 ( C) 950/890
H2 (%) 58.8 58.8 58.8
CO (%) 23.4 23.4 23.4
CO2 (%) 13.1 13.1 13.1
CH4 (%) 3.99 3.98 3.99
H2/CO 2.49 2.49 2.49
Figure 6-5 H2/CO Experiment Ratio in Primary Reformer
1.35
1.37
1.39
1.41
1.43
1.45
1.47
1.49
1.51
0 0.2 0.4 0.6 0.8 1
H
2/C
O [
mo
lar
rati
o]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
This Table has been redacted
52
Figure 6-6 %CO Experiment in Primary Reformer
Figure 6-7 %H2 Experiment in Primary Reformer
22
23
24
25
26
27
28
29
30
0 0.2 0.4 0.6 0.8 1 %
CO
[m
ole
per
centa
ge
-Dry
bas
e]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
30
32
34
36
38
40
42
44
0 0.2 0.4 0.6 0.8 1
%
H2 [
mo
le p
erce
nta
ge
- D
ry b
ase]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
53
Figure 6-8 %CO2 Experiment in Primary Reformer
Figure 6-9 H2/CO Experiment Ratio in Secondary Reformer
4
5
6
7
8
9
10
11
12
13
0 0.2 0.4 0.6 0.8 1
%
CO
2 [
mo
le p
erce
nta
ge
- D
ry b
ase]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
1.5
1.7
1.9
2.1
2.3
2.5
2.7
0 0.2 0.4 0.6 0.8 1
H
2/C
O [
mo
lar
rati
o]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
54
Figure 6-10 % Unconverted CH4 In Secondary Reformer
Figure 6-11 %CO Experiment in Secondary Reformer
3
3.5
4
4.5
5
5.5
6
6.5
7
7.5
8
0 0.2 0.4 0.6 0.8 1
%
unre
acte
d C
H4 [
mo
le p
erce
nta
ge
- D
ry
bas
e]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
3.00
8.00
13.00
18.00
23.00
28.00
33.00
0 0.2 0.4 0.6 0.8 1 %
CO
[m
ole
per
centa
ge
- D
ry b
ase]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
55
Figure 6-12 %H2 Experiment in Secondary Reformer
Figure 6-13 %CO2 Experiment in Secondary Reformer
40
45
50
55
60
65
0 0.2 0.4 0.6 0.8 1
%
H2
[mo
le p
erce
nta
ge
- D
ry b
ase]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
4
5
6
7
8
9
10
11
12
13
14
0 0.2 0.4 0.6 0.8 1
%
CO
2
[mo
le p
erce
nta
ge-
Dry
bas
e]
Steam/NG [molar ratio]
Steam/NG=0 Steam/NG=0.16 Steam/NG=0.31Steam/NG=0.47 Steam/NG=0.63 Steam/NG=0.78Steam/NG=0.94
56
Simulation of Syngas and Oil Production
According to the pilot plant setup discussed in the previous section, the Aspen
HYSYS simulation model was used for the syngas and oil production. The Peng
Robinson equation of state was employed to calculate the physical properties of the
stream lines. The process flow diagram for the GTL plant is shown in Figure 6-20.
Simulation study on the GTL (produced jet fuel from natural gas) process was
done through Aspen simulation to get the H2/CO=2 in syngas stream and maximum
production of jet fuel. By changing the steam flow rate to the primary reformer, the GTL
operating condition of the reformer was controlled. The simulation assumption was based
on steady state conditions. The reaction kinetic models for FTS over cobalt catalyst unit
are described in Equation 4-11.
The water stream leaves the heater at 350ΒΊC and a pressure of 1.5 barg at the
flowrate of 30 mol/hr. After mixing with the methane stream at room temperature, the
methane enters the primary reformer and reacts with oxygen. In this research, a low
steam/methane ratio of 0.38 and oxygen/methane ratio of 0.6 is selected for the first
stage of GTL simulation to obtain the proper H2/CO ratio of 2. The SMR and WGS
reactions are assumed based on equilibrium reactions. All of the reactions occurring in
the primary and secondary reformers are described in Equations 6-1 through 6-5.
The high amount of heat released by complete and partial oxidation of methane
caused hot syngas production to streamline by 800 K in the outlet of ATR. After this, the
hot syngas is cooled to ambient temperature by heat exchanger. Table 6-12 shows the
derived syngas composition result to get the desired H2/CO.
57
Table 6-12 Syngas Composition Result
Temperature [302.15 K] Pressure [1.4 barg]
Component Mole fraction Mole flow rate [mol/h]
CO 0.2099 40.45
H2 0.4208 81.1
H2O 0.2426 46.75
CH4 0.064 12.33
CO2 0.0627 12.1
The first major simulation units were the primary and secondary reformers.
These units convert methane to syngas. More oxidation reactions occur when higher flow
rates of O2 is applied into the reactor. This creates a syngas stream with lower H2/CO
ratios while the temperature out of the reactor increases [42]. However, increasing the
steam flow rate has the opposite effect on H2/CO. This is because more endothermic
reactions are occurring in the reactor. Syngas production should have a H2/CO ratio of
roughly 2 as a feed stream in the FTS unit. Therefore, 540 g/h steam was needed to be
used by the reactor to satisfy this requirement. Table 6-13 shows the feed stream
conditions in syngas to get the desired H2/CO ratio. The final amounts and properties of
the process are presented in Table 6-13. Figures 6-14 to 6-19 show the rate of species in
the outlet of ATR, and the trend has good agreement with experimental data.
Table 6-13 Final Amount and Process Conditions for The Feed Flow Properties
Feed Stream [g/h] Mass Flow Rate [g/h] Temperature [Β°C] Pressure [barg]
Natural gas 1290 25 1.5
Oxygen 1415 25 1.5
Steam 540 350 1.5
After the hot syngas stream line was cooled by the heat exchanger, the 28%
(%mol) of water was collected by the separator. The cooled syngas with an H2/CO ratio
of 2.005, was compressed to 20 barg and heated to 245 ΒΊC before entering the packed
58
bed FT reactor with a catalyst load of 2000 g. Because FTR exothermic reactions
happen, heat must be removed by a coolant. The hydrocarbon synthesis reaction
through FTR is considered a polymerization reaction [44]. Equations 5-31 through 5-38
were used in the simulation of the FT reactor in Aspen HYSYS. The chain growth
probability Ξ± was set to 0.75, and the oil fractions were assumed from CH4 to C15H32 in
this simulation. Figure 6-20 depicts the FT synthesis process flow diagram used in this
simulation and presents the mole and mass balances for the entire GTL plant. The
hydrocarbon products are split by a condenser to separate the light and heavy
hydrocarbons. A three phases condenser is used to separate the water, gas, and final
products.
Table 6-14 shows the FTR mass fraction products with different syngas
conversions. A single pass flow and the volume of the reactor being 4.5 liters are
assumed. As shown in Table 6-15, water is the major product (54%), and the C5H12
fraction has the higher mass fraction in liquid oil product. The results were compared to
the reliability of FTR. Simulation results were also compared by CFD simulation, as
discussed in the next section, to check the agreement between these two simulations.
59
Figure 6-14 Comparison of H2/CO Ratio in Experimental and ATR Simulation
Figure 6-15 %CO Simulation in ATR
1.6
1.8
2
2.2
2.4
2.6
2.8
3
0 0.2 0.4 0.6 0.8 1
%
H2/C
O
[mo
le p
erce
nta
ge]
Steam/NG [molar ratio]
Aspen Results Experimental Results
14
16
18
20
22
24
0 0.2 0.4 0.6 0.8 1
% C
O [
mo
le p
erce
nta
ge]
Steam/Natural Gas [molar ratio]
60
Figure 6-16 %H2 Simulation in ATR
Figure 6-17 % Unconverted CH4 Simulation in ATR
30
32
34
36
38
40
42
44
46
48
50
0 0.2 0.4 0.6 0.8 1
% H
2 [
mo
le p
erce
nta
ge]
Steam/Natural Gas [molar ratio]
0
1
2
3
4
5
6
7
8
9
10
0 0.2 0.4 0.6 0.8 1
% U
nco
nver
ted
C
H4
[mo
le p
erce
nta
ge]
Steam/Natural Gas [molar ratio]
61
Figure 6-18 %H2O Simulation in ATR
Figure 6-19 Simulation Study of CH4 Conversion in ATR
20
21
22
23
24
25
26
27
28
29
30
0 0.2 0.4 0.6 0.8 1
% H
2O
[m
ole
per
centa
ge]
Steam/Natural Gas [molar ratio]
90
90.5
91
91.5
92
92.5
93
93.5
94
94.5
95
0 0.2 0.4 0.6 0.8 1
% C
H4 C
onver
sio
n
Steam/Natural Gas [molar ratio]
62
Figure 6-20 GTL Process Flow Diagram in This Study to Get 50% Syngas Conversion
63
Table 6-14 FT Products to Get 50% And 70% Conversion, Aspen Results
Component Temperature: 518.15 K
CR: 50% CR: 70%
CH4 0.0898 0.182
C5H12 0.01694 0.02237
C6H14 0.01589 0.02236
C7H16 0.015229 0.02134
C8H18 0.01519 0.02129
C9H20 0.015157 0.02123
C10H22 0.015 0.02116
C11H24 0.01498 0.02102
C12H26 0.01431 0.02
C13H28 0.01415 0.0198
C14H30 0.01331 0.0187
C15H32 0.0073 0.0102
H2O 0.2712 0.369
Table 6-15 Selectivity of Products, Aspen Results
%Selectivity Temperature: 518.15 K
CR: 50% CR: 70%
SC1 14.15 14.13
SH2O 54.76 54.82
SC5+ 29.712 29.85
CFD Simulation of Fischer-Tropsch Reactor
In this section, the Fischer-Tropsch reactor with a 3D geometry is numerically
investigated and coupled with mass, momentum, heat transfer, and kinetic modules. The
operation parameters, bulk temperature distribution, the selectivity, and the productivity of
the products are analyzed using this model.
64
Simulation Setup
The fixed bed single tube and multi tubular Fisher-Tropsch reactor is described in
Figure 6-21, and Table 6-16 and Table 6-17 list the parameters of both reactors that are
used in this study. Coarser mesh was initially used to find a quick solution to the problem,
but later all of the modules were solved using a finer mesh size (see Figure 6-22).
Although a coarser mesh decreases the time to find a solution, the error in mass
conservation was 20% in the FT tube, which could only be corrected using a finer mesh
to fix the problem. The syngas conversion, water, gas, and oil selectivity are defined in
Equations 6-6 through 6-19.
%ππ π¦ππππ =ππ π¦ππππ ,ππ’π‘πππ‘
Β°
ππ‘ππ‘ππΒ° Γ 100 Eq. 6-6
%ππΆ5+=
ππΆ5+Β°
ππ€ππ‘ππΒ° +ππππ
Β° +ππππ Β° Γ 100 Eq. 6-7
%ππππ =ππππ
Β°
ππ€ππ‘ππΒ° +ππππ
Β° +ππππ Β° Γ 100 Eq. 6-8
%ππ€ππ‘ππ =ππ€ππ‘ππ
Β°
ππ€ππ‘ππΒ° +ππππ
Β° +ππππ Β° Γ 100 Eq. 6-9
65
Figure 6-21 Geometry of Fischer-Tropsch Reactor Used in This Research Study
Figure 6-22 Mesh Layout Used in This Research Study
66
Table 6-16 Physical Parameters in Single Tube Reactor
Parameter Value
Tube height 9 [m]
Tube diameter 2.54 [cm]
Pressure 21 [bar]
Bulk density 500.72[kg/m3]
Inlet concentration of H2 66.67 [%mol]
Inlet concentration of CO 33.33 [%mol]
Bed porosity 0.5 [-]
Chain growth possibility 0.79 [-]
Table 6-17 Physical Parameters in Multi Tubular Reactor
Parameter Value
Tube height 15 [cm]
Tube diameter 2.54 [cm]
Pressure 21 [bar]
Bulk density 500.72[kg/m3]
Inlet concentration of H2 66.67 [%mol]
Inlet concentration of CO 33.33 [%mol]
Bed porosity 0.5 [-]
Chain growth possibility 0.79 [-]
Parametric Study
The FTS catalyst with 20wt% cobalt on an SiO2 support was considered in the
kinetic modeled described in Chapter 5. The reaction was conducted at a temperature of
245Β°C, pressure of 21 bar, and mole ratio of H2/CO=2. The physical properties of the
reactant and coolant streams were considered as a function of composition, pressure,
and temperature. The thermal conductivities, densities, viscosities, specific heat
capacities, and hydrocarbons enthalpies of formation are shown in Appendix A.
In this study, only hydrocarbon species CH4 and C12H26 were used to reduce the
model complexity; in addition, hydrocarbon species CH4, C5H12, C8H16, C10H22, C12H26,
and C15H32 were the products of this research. Methane is a major hydrocarbon product
67
through FTS, explaining why it should be selected in each case [53]. For grid generation,
the free quad method in the software was used, and Galerkinβs method was applied with
the tolerance of the relative errors specified as 10e-3 [58].
The reactor performance of the 3D model is compared in Tables 6-18 and 6-19
with different fraction numbers of hydrocarbons. FT synthesis shows a similar result and
is derived from the Aspen simulation in which water is a major product. Productivity
increased by increasing in the SV for both cases (5 species and 9 species). Figure 6-23
illustrates the trend of syngas conversion at an initial feed temperature of 245 Β°C and
different amounts of space velocities.
Table 6-18 and Table 6-19 present syngas conversion as a function of the SV. At
the same space velocity, in FT simulation, less syngas conversion is gained for a higher
number of species (9 species) as compared to a lower species (5 species). Also, syngas
conversion decreases with an increase in the SV. As seen in Table 6-20 and Table 6-21,
an increase in the SV from 174 to 774 [Nml/gcat.h] resulted in a decrease in syngas
conversion from 86.29% to 26.6% in simulation of 5 species, and 70.74% to 19%, in
simulation of 9 species. The reason is that a higher SV has a lower residence time, which
causes a decrease in syngas conversion. Furthermore, Figure 6-23 illustrates the syngas
conversion profile results along the tube length for different amounts of SV. The results
showed a higher residence time and syngas conversion is derived in lower space
velocities. Product selectivity and selectivity are shown in Table 6-18 and Table 6-19 at
245 Β°C and 21 bar. As can be seen, the oil and methane selectivity in simulation of 9
species is lower than 5 species, and the increase in selectivity of C5+ is observed by
increasing the SV. However, for some space velocities, there was a slight increase in
methane, which is not a significant change in different space velocities. Diffusion has a
dominant role in the removal of hydrocarbon fractions from the catalyst surface by
68
increasing the space velocity. Therefore, the selectivity of C5+ was increased by
increasing SV [33]. Another reason could be the presence of higher molecular mass
products inside the pores, which increases residence time and, with that, oil selectivity
[56, 57].
The overall oil productivity in FTS is shown in Figure 6-24 and Figure 6-25. Since
the desired product is liquid hydrocarbon and the undesired product is light
hydrocarbons, the simulation was carried out to reach the higher productivity of C5+. As
seen in Figure 6-24, higher productivity results from increasing the SV; however, it
causes lower syngas conversion. In addition, Figure 6-26 and Figure 6-27 compare
syngas conversion and oil productivity against the SV for the different oil species
considered in model. At an SV of 391.79 [Nml/gcat.h], the productivity of 5 species is
approximately 38% more than 9 species. Also, when the feed temperature was
increased, it was observed that the syngas conversion in the catalytic bed was higher in
lower space velocity.
Figure 6-28 shows the profile contour of the bulk temperature and product
species through the reactor under the conditions of Tfeed,in = 518.15 K. Figure 6-28a and
Figure 6-28g show the slight increase of bulk temperature in the center tube of the FT
reactor. The increase in temperature is carried out in the inlet zone of the tube and it is
approximately 2K. The increase happens abruptly, and the hot spot should be controlled
by the coolant channel. As shown in Figure 6-28g, the hot spot occurs in the first 2m of
the reactor bed. Figures 6-28b to Figure 6-28f show the contour of reactants and
products mass fraction through packed bed reactor. Finally, the rate of mass fraction for
all species is plotted in Figure 6-33 to calculate how to reach 50% syngas conversion.
In Figure 6-29 and Figure 6-30, the 3D contours of the tube shell FT reactor are
shown, and the effect of coolant velocity over feed velocity ratio is considered as a
69
variable. The results show that by decreasing the ratio, a higher syngas conversion is
gained. The initial feed and coolant temperatures were set to 518.15 K and 513.15 K. As
shown in Figure 6-31 and Figure 6-32, the multi tubular FT reactor and coolant
temperature distribution were simulated to show the higher amount of temperature
around the tubes to remove the hot spot. According to Table 6-20, by increasing the
coolant velocity, the syngas conversion and oil productivity decreases. Also, increasing
the volume bed fraction from 40% to 80% flattens the bulk temperature distribution
because of an increase in the effective thermal conductivity in the tube, which causes
improved heat transfer between the reactor body and coolant bodies (see Figure 6-34).
As shown in Figure 6-35, the syngas conversion is investigated at different initial feed
temperatures. By increasing the feed temperature, higher syngas conversion is gained.
However, at the same space velocity, the model with 9 species has a lower conversion,
and the difference for each case is approximately 15%.
Table 6-18 Product Results in FT Reactor, 5 Species
Parameter Run 1 Run 2 Run 3 Run 4 Run 5
SV [Nml/gcat.h] 174.12 261.206 391.8 530.95 774.9
H2O [g/gcat.h] 3.91E-02 4.87E-02 3.80E-02 5.31E-02 5.34E-02
CH4 [g/gcat.h] 5.45E-03 6.84E-03 7.54E-03 7.62E-03 7.70E-03
C12 [g/gcat.h] 2.59E-02 3.23E-02 3.47E-02 3.53E-02 3.56E-02
%Xsyngas 86.29 71.547 51.348 38.504 26.565
%SOil 36.82 36.759 36.722 36.738 36.812
%SH2O 55.46 55.466 5.55E+01 55.51 55.55
%SCH4 7.717 7.8001 7.8984 7.9537 8.0021
70
Table 6-19 Product Results in FT Reactor, 9 Species
Parameter Run 1 Run 2 Run 3 Run 4 Run 5
SV [Nml/gcat.h] 174.12 261.206 391.8 530.95 774.9
H2O [g/gcat.h] 3.12E-02 3.55E-02 2.67E-02 3.73E-02 3.57E-02
CH4 [g/gcat.h] 9.18E-03 1.04E-02 1.09E-02 1.10E-02 1.11E-02
C5+ [g/gcat.h] 1.74E-02 1.95E-02 2.04E-02 2.07E-02 2.09E-02
%Xsyngas 70.74 52.93 36.841 27.55 19.058
%SOil 30.108 30.112 30.113 30.12 30.125
%SH2O 55.167 55.216 55.31 55.265 55.286
%SCH4 15.961 16.146 16.29 16.358 16.419
Figure 6-23 Syngas Conversion Profiles of FT Reactor, Tinitial: 518.15 K
0
10
20
30
40
50
60
70
80
90
100
00.511.522.533.544.555.566.577.588.59
%
Syngas
Co
nver
sio
n
Tube length [m]
SV=391 SV=528 SV=750 SV=220
71
Figure 6-24 The Rate of C5+ Production In FT Reactor
Figure 6-25 The Rate of C5+ Production in FT Reactor (Detailed View of Figure 6-17)
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
00.511.522.533.544.555.566.577.588.59
Pro
duct
ivit
y C
5+
[g/g
cat.
h]
Tube length [m]
SV=774.87 SV=522.4 SV=391.8 SV=261.19 SV=190.97
0.02
0.022
0.024
0.026
0.028
0.03
0.032
0.034
0.036
0.038
00.511.522.533.544.555.566.577.588.59
Pro
duct
ivit
y C
5+
[g/g
cat.
h]
Tube length [m]
SV=774.87 SV=522.4 SV=391.8 SV=261.19 SV=190.97
72
Figure 6-26 Oil Productivity for Different Amounts of Product Species
Figure 6-27 Syngas Conversion for Different Amounts of Product Species
1.00E-021.50E-022.00E-022.50E-023.00E-023.50E-024.00E-024.50E-025.00E-025.50E-026.00E-02
80 280 480
Oil
Pro
duct
ivit
y [
g/g
cat.
h]
Space Velocity [Nml/gcat.h]
SV=174.13, 5 species SV=217.67, 5 species SV=261.21, 5 species
SV=304.73, 5 species SV=348.27, 5 species SV=391.79, 5 species
SV=530.59, 5 species SV=174.13, 10 species SV=217.67, 10 species
SV=261.21, 10 species SV=304.73, 10 species SV=391.79, 10 species
SV=348.27, 10 species SV=530.95, 10 species
0
20
40
60
80
100
80 280 480
%
Syngas
Co
nver
sio
n
Space Velocity [Nml/gcat.h]
SV=174.13, 5 species SV=217.67, 5 species SV=261.21, 5 speciesSV=304.73, 5 species SV=348.27, 5 species SV=391.79, 5 speciesSV=530.95, 5 species SV=174.13, 10 species SV=217.67, 10 speciesSV=261.21, 10 species SV=304.73, 10 species SV=348.27, 10 speciesSV=391.79, 10 species SV=530.95, 10 species
73
c
b a
d
e f
74
Figure 6-28 3D Profiles of (a) Bulk Temperature, (b) CO Mass Fraction, (c) H2 Mass Fraction, (d) C5+ Mass Fraction, (e ) H2O Mass Fraction, (f) CH4 Mass Fraction, (g) Bulk Temperature at The Centerline of Tube (to get 50% syngas conversion, Tinitial: 518.15 K)
518
518.5
519
519.5
520
520.5
521
00.511.522.533.544.555.566.577.588.59
Bulk
Tem
per
ature
[K
]
Tube Length
f
a b
c d
75
Figure 6-29 3D Profiles of (a) Coolant Temperature, (b) Bulk Temperature, (c) CO Mass Fraction, (d) H2 Mass Fraction, (e ) H2O Mass Fraction, (f) C5+ Mass Fraction, (g) CH4
Mass Fraction and (h) Syngas Conversion (ucoolant/ufeed=5, Tinitial: 518.15 K)
e f
g h
a b
76
Figure 6-30 3D Profiles of (a) coolant Temperature, (b) bulk Temperature, (c) CO Mass Fraction, (d) H2 Mass Fraction, (e ) H2O Mass Fraction, (f) C5+ Mass Fraction, (g) CH4
Mass Fraction and (h) Syngas Conversion (ucoolant/ufeed=1, Tinitial: 518.15 K)
c d
e f
g h
77
a b
c d
e f
g h
78
Figure 6-31 Multi Tubular 3D Profiles of (a) Coolant Temperature, (b) Bulk Temperature, (c) CO Mass Fraction, (d) H2 Mass Fraction, (e ) H2O Mass Fraction, (f) C5+ Mass
Fraction, (g) CH4 Mass Fraction and (h) Syngas Conversion (ucoolant/ufeed=15, Tinitial: 518.15 K)
Figure 6-32 3D Profiles of (a) Coolant Temperature Plane, (b) Coolant Temperature, (c) Syngas Conversion (ucoolant/ufeed=2, Initial Temperature: 518.15 K)
Table 6-20 The Effect of Coolant Velocity on Productivity
Parameter Run 1 Run 2 Run 3 Run 4
ucoolant/ufeed 1 3 5 9
H2O [g/gcat.h] 6.83E-02 5.61E-02 3.92E-02 4.56E-02
CH4 [g/gcat.h] 9.08E-03 6.31E-03 5.29E-03 4.37E-03
C5+ [g/gcat.h] 5.07E-02 4.28E-02 3.92E-02 3.56E-02
Xsyngas 61.787 50.86 46.076 41.337
%SOil 39.602 40.655 41.129 41.624
%SH2O 55.312 53.352 5.33E+01 53.269
%SCH4 7.0923 5.9985 5.54 5.1129
a b
c
79
Figure 6-33 Mass Fraction Rate of Reactants and Products in FT Tube
Figure 6-34 Bulk Temperature Profile in Different Solid Volume Fraction
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1
02468
Pro
duct
s m
ass
frac
tio
n
Tube length [m]
w_CO w_H2 w_H2O
w_CH4 w_C5+
518
518.2
518.4
518.6
518.8
519
519.2
519.4
519.6
519.8
520
00.511.522.533.544.555.566.577.588.59
B
ulk
Tem
per
ature
[K
]
Tube length [m]
void=40% void=50% void=60% void=80%
80
Figure 6-35 Syngas conversion at the center tube in different feed temperature
Conclusion and Summary
The description of GTL technology was presented in this study, and it is one of
the important processes in converting natural gas to jet fuel products. The required steam
was derived in auto thermal reforming to achieve the exact mole ratio of H2/CO. The CFD
simulation of the Fischer-Tropsch recator was done to increase oil selectivity and
productivity, and syngas conversion. The entire GTL plant was designed in Aspen
HYSYS, and the results were compared to the CFD and pilot plant setup results. Finally,
a developed kinetic model was presented to ensure the reliability of the results.
0
10
20
30
40
50
60
70
80
90
100
490 493 496 499 502 505 508 511 514 517 520 523 526 529
%
Syngas
Co
nver
sio
n
Feed Temperature [K]
SV=391 SV=420
81
ABBREVIATIONS
c concentration [mol/m3]
Kbr Permeability [m2]
X Conversion [-]
S Selectivity [-]
Re Reynolds number [-]
Pr Prandtl number [-]
h Heat transfer coefficient [W/(m2.K)]
Ξ± carbon chain growth probability factor [-]
SV space velocity [Nml/gcat.h]
82
APPENDIX A
Component heat capacity πΆπ,π = ππ + πππ + πππ2 + πππ
3
Mixture heat capacity πΆπ,π = βπ¦π πΆπ,π
Component conductivity ππ = ππ + πππ + πππ2 + πππ
3
Mixture heat conductivity ππ,π = βπ¦π ππ,π
Component viscosity ππ = ππ + πππ + πππ2 + πππ
3
Mixture viscosity ππ,π = βπ¦π ππ
Mixture Enthalpy βπ»π,π = βπ»298.15 +πβ298
550β298(βπ»550 β βπ»298)
Effective thermal conductivity ππππ = πππ,π + (1 β π)ππππ‘
The coolant equations were set up in CFD simulation:
ππ β ππ{β. [π
π(1 β ππ)π’π πππ β π·ππβπ
π] +
πππ
ππ
} + ππ(β. π’) = 0 (1)
π’ =πππ’πππ+πππ’πππ
π (2)
π’π = π’π + (1 β ππ)π’π πππ βπ·ππ
ππ
βππ
(3)
ππ = ππΆπ
π2
π
(4)
ππ = ππ[βπ’π: (βπ’π + (βπ’π)π)] (5)
π = ππππ + ππππ (6)
ππ =ππππ
π (7)
π·ππ =ππ
πππ
(8)
83
Bo, 2004 theory:
πππ = (πππ£ππ + πππππ)ππ (7)
Evaporation:
πππ£ππ = πππ₯ (0,πππβππ
π‘ππ£ππ ) (8)
π‘ππ£ππ =πΎππ£ππ ππ ππ‘
πππ₯(πβππ ππ‘,πππ ) (9)
πΎππ£ππ = 0.005[π ] (10)
Condensation:
πππππ = πππ₯ (0,πππβππ
π‘ππππ ) (11)
π‘πππ =πΎππππ ππ ππ‘
πππ₯(ππ ππ‘βπ,πππ ) (12)
πΎππππ = 0.025[π ] (13)
Volume fraction at equilibrium:
πππ =( π₯ππ)
1.1
π₯ππ+(1β π₯ππ)ππππ
(14)
π₯ππ =π»βππ,πππ ππ‘
βπ»ππ (15)
π» = ππ,πππ ππ‘ + π₯πβπ»ππ + ππ(π β ππ ππ‘) (16)
π =π π
ππβπβ
ππΌ
ππ2+2πππβπ2
π =0.45724π 2ππ
2
ππ
π =0.0778π ππ
ππ
πΌ = (1 + (0.37464 + 1.54226π β 0.26992π2)(1 β ππ0.5))
2
ππ =π
ππ
84
REFERENCES
1. Aguirre, A., Tran, A., Lao, L., Durand, H., Crose, M., and Christofides, P.D.,
CFD modeling of a pilot-scale steam methane reforming furnace. Chemical
Engineering Science, vol. 171, pp. 576-598, 2017.
2. Uriz. Computational fluid dynamics as a tool for designing hydrogen energy
technologies. In L. M. GandΓa, G. Arzamendi, and P. M. DiΓ©guez, editors,
Renewable Hydrogen Technologies: Production, Purification, Storage,
Applications and Safety, pages 401β435. Elsevier, Oxford, UK, 2013.
3. Zhang, J., Dai, B., Meng, Y., Wu, X., Zhang, J., Zhang, X., Ninomiya, Y.,
Zhang, Z., and Zhang, L., Pilot-scale experimental and CFD modeling
investigations of oxy-fuel combustion of Victorian brown coal. Fuel, vol. 144,
pp. 111β120, 2015.
4. Kaila, R.K., Krause, A.O.I., Autothermal reforming of simulated gasoline and
diesel fuels. International Journal of Hydrogen Energy, vol. 31, pp. 1934-1941,
2006.
85
5. Lyubovsky, M., Roychoudhury, S., Lapierre, R., Catalytic partial oxidation of
methane to syngas at elevated pressure, Catalytic Letter, vol. 99, pp. 113-
117, 2005.
6. Majocchi, L., Groppi, G., Cristiani, C., Forzatti, P., Basini, L., Guarinoni, A.,
Partial oxidation of methane to synthesis gas over Rh hexa aluminate-based
catalysts, Catalysis Letter, vol. 65, pp. 49-56, 2000.
7. Kagyrmanova, P., Zolotarskii, I.A., Vernikovskaya, N.V., Smirnov, E.I.,
Kuz'min, V.A., and Chumakova, N.A., Modeling of steam reforming of natural
gas using catalysts with grains of complex shapes, Theoretical Foundations of
Chemical Engineering, vol. 40, pp. 155-167, 2006.
8. Cristina, M.S.G.B., Jorge G.V.F.S., and Jose, A.A.M.C., Modelling multi
tubular catalytic reactors: The influence of shell side flow, Chemical
Engineering Science, vol 47, pp. 2565-2570, 1992.
9. Wang, Y.N., Xu, Y.Y., Li, Y.W., Zhao, Y.L., and Zhang, B.J., Heterogeneous
modeling for fixed-bed Fischer-Tropsch synthesis: Reactor model and its
applications, Chemical Engineering Science, vol. 58, pp. 867-875, 2003.
10. Gidhagen, L., Model simulation of ultrafine particles inside a road tunnel,
Atmospheric environment, vol. 37, pp. 2023-2036, 2003.
11. Hammerschlag, R., and Mazza, P., Questioning hydrogen, Energy Policy, vol.
33, pp. 2039-2043, 2005.
12. Das, T.K., Conner, Wh.A., Li, J., Jacobs, G., Dry, M.E., and Davis, B.H.,
Fischer-Tropsch synthesis: Kinetics and effect of water foe a Co/SiO2
catalyst, Energy Fuels, vol. 19, pp. 1430-1439, 2005.
86
13. S.C. Brenner, L.R. Scott, the Mathematical Theory of Finite Element Methods,
2nd ed. Springer-Verlag, New York, 2002.
14. Ghouri, M.M., Afzal, Sh., Hussain, R., Blank, J., Bukur, D.B., Elbashir, N.O.,
Multi-scale modeling of fixed-bed Fischer Tropsch reactor, Computers and
Chemical Engineering, vol. 91, pp. 38-48, 2016.
15. Lee, T.S., and Chung, J.N., Mathematica Modeling and Numerical Simulation
of a FischerβTropsch Packed Bed Reactor and Its Thermal Management for
Liquid Hydrocarbon Fuel Production using Biomass Syngas, Energy Fuels,
vol. 26, pp. 1363-1379, 2012.
16. Gnanamani, M.K., Shafer, W.D., Sparks, D.E., and Davis, B.H., Fischerβ
Tropsch synthesis: Effect of CO2 containing syngas over Pt promoted Co/Ξ³-
Al2O3 and K-promoted Fe catalysts, Catalysis Communications, vol. 12, pp
936β939, 2011.
17. Kshetrimayum, K.S., Park, S., Jung, I., Lee, Y., Lee, Ch,Y., and Han, C., CFD
simulation of microchannel reactor block for Fischer-Tropsch Synthesis: Effect
of coolant type and wall boiling condition on reactor temperature, Industrial
and Engineering Chemistry Research, vol. 55, pp. 543-554, 2016.
18. Holmen, A., Venvik, H.J., Myrstad, R., Zhu, J., and Chen, D., Monolithic,
microchannel and carbon nanofibers/carbon felt reactors for syngas
conversion by Fischer-Tropsch synthesis, Catalysis Today, vol. 216, pp. 150β
157, 2013.
87
19. Kim, Y., Jun, K., Joo, H., Han, Ch., and Song, I., A simulation study on gas-to-
liquid (natural gas to FischerβTropsch synthetic fuel) process optimization,
Chemical Engineering, vol. 155, pp. 427-432, 2009.
20. Li, K., Zhang, R., and Bi, Jicheng., Experimantal study on syngas production
by co-gasification of coal and biomass in a fluidized bed, International Journal
of Hydrogen Energy, vol. 35, pp. 2722-2726, 2010.
21. Rafiq, M. H., Jakobsen, H.A., Schmid, R., Hustad, J. E., Experimental studies
and modeling of a fixed bed reactor for Fischer-Tropsch synthesis using
biosyngas, Fuel Processing Technology, vol. 92, 893-907, 2011.
22. Fazeli, H., Panahi, M., and Rafiee, A., Investigating the potential of carbon
dioxide utilization in a gas-to-liquids process with iron-based Fischer Tropsch
catalyst, Journal of Natural gas Science and Engineering, vol. 52, pp. 549-
558. 2018.
23. Tavakoli, A., Sohrabi, M., and Kargari, A., Application of AndersonβSchulzβ
Flory (ASF) equation in the product distribution of slurry phase FT synthesis
with nanosized iron catalysts, Chemical Engineering Journal, vol. 136, 358-
363, 2008.
24. Rafiee, A., Panahi, M., and Khalilpour, CO2 utilization through integration of
post-combustion carbon capture process with Fischer-Tropsch gas-to-liquid
(GTL) processes, Journal of CO2 Utilization, vol. 18, pp. 97-106, 2017.
25. Almeida, LC., Sanz, O., Merino, D., Arzamendi, G., GandΓa, LM., and Montes,
M., Kinetic analysis and micro structured reactors modeling for the Fischerβ
88
Tropsch synthesis over a CoβRe/Al2O3 catalyst, Catalysis Today, vol. 215, pp.
103-111, 2013.
26. Kwack, SH., Bae, JW., Park, MJ., Kim, SM., Ha, KS., and Jun, KW., Reaction
modeling on the phosphorous-treated Ru/Co/Zr/SiO2 FischerβTropsch
catalyst with the estimation of kinetic parameters and hydrocarbon
distribution, Fuel, vol. 90, pp. 1383-1394, 2011.
27. Palma, V., Ricca, A., Meloni, E., Martino, M., Miccio, M., and Ciambelli, P.,
Experimental and numerical investigations on structured catalysts for methane
steam reforming intensification, Journal of Cleaner Production, vol. 111, pp.
217-230, 2016.
28. Polychronopoulou, K., Kalamaras, C.M., and Efstathiou, A.M., Ceria-based
materials for hydrogen production via hydrocarbon steam reforming and
water-gas shift reactions. Recent Patents on Material Science, vol. 4, pp. 122-
145, 2011.
29. Sharma, V., Crozier, P.A., Sharma, R., and Adams, J.B., Direct observation of
hydrogen spillover in Ni-loaded Pr-doped ceria, Catalysis Today, vol. 180, pp.
2-8, 2012.
30. Wang, L., Li, D., Koike, M., Watanabe, H., Xu, Y., Nakagawa, Y., and
Tomishige, K., Catalytic performance and characterization of NieCo catalysts
for the steam reforming of biomass tar to synthesis gas, Fuel, vol. 112, pp.
654-661, 2013.
31. Deshmukh, S.R., Tonkovich, A.L.Y., Jarosch, K.T., Schrader, L., Fitzgerald,
S.P., Kilanowski, D.R., Lerou, J.J., and Mazanec, T.J., Scale-Up of
89
microchannel reactors for FischerβTropsch synthesis, Industrial and
Engineering Chemistry Research, vol. 49, pp. 10883-10888, 2010.
32. Sarup, B., and Wojciechowski, B.W., Studies of the FischerβTropsch
synthesis on a cobalt catalyst II. Kinetics of carbon monoxide conversion to
methane and to higher hydrocarbons, Canadian Journal of Chemical
Engineering, vol. 67, pp. 62-74, 1989.
33. Visconti, C.G., Tronconi, E., Lietti, L., Zennaro, R., and Forzatti, P.,
Development of a complete kinetic model for the FischerβTropsch synthesis
over Co/Al2O3 catalysts, Chemical Engineering Science, vol. 62, pp. 5338β
5343, 2007.
34. Zhu, X.W., Lu, X.J., Liu, X.Y., Hildebrandt, D., and Glasser, D., Study of radial
heat transfer in a tubular FischerβTropsch synthesis reactor, Industrial and
Engineering Chemistry Research, (2010) 10682β10688.
35. Pattison, R.C., and Baldea, M., A thermal-flywheel approach to distributed
temperature control in microchannel reactors, AIChE Journal, vol. 59, pp.
2051-2061, 2013.
36. Park, S., Jung, I., Lee, Y., Kshetrimayum, K.S., Na, J., Park, S., Shin, S., Ha,
D., Lee, Y., Chung, J., Lee, C.J., Han, C., Design of microchannel Fischerβ
Tropsch reactor using cell-coupling method: effect of flow configurations and
distribution, Chemical Engineering Science, vol. 143, pp. 63β75, 2016.
37. Jung, I., Kshetrimayum, S.K., Park, S., Na, J., Lee, Y., An, J., Park, S., Lee,
C.J., and Han, C., Computational fluid dynamics based optimal design of
guiding channel geometry in U-type coolant layer manifold of large-scale
90
microchannel Fischer-Tropsch reactor, Industrial and Engineering Chemistry
Research, vol. 55, pp. 505β515, 2016.
38. Visconti, C.G., Tronconi, E., Lietti, L., Forzatti, P., Rossini, S., and Zennaro,
R., Detailed kinetics of the FischerβTropsch synthesis on cobalt catalysts
based on H-Assisted CO activation, Topics in Catalysis, vol. 54. pp. 786-800,
2011.
39. Harris, R.A., Commercializing and deploying microchannel FT reactors for
smaller scale GTL facilities, AIChE Process Development Symposium
Houston (USA), (2015).
40. Almeida, L.C., Sanz, O., Dβolhaberriague, J., Yunes, S., Montes, M.,
Microchannel reactor for FischerβTropsch synthesis: adaptation of a
commercial unit for testing microchannel blocks, Fuel, vol. 110, pp. 171β177,
2013.
41. Kaiser, P., PΓΆhlmann, F., and Jess, A., Intrinsic and effective kinetics of
cobalt-catalyzed Fischer-Tropsch synthesis in view of a power-to-liquid
process based on renewable energy, Chemical Engineering Technology, vol.
37, pp. 964β972, 2014.
42. Mujeebu, M.A., Hydrogen and syngas production by super adiabatic
combustion-a review, Appl. Energy, vol. 173, pp. 210β224, 2016.
43. Kaiser, Ph., Goethals, M., Smeft, G.D., Pressure dependence of the auto-
ignition temperature of methane air mixtures, Journal of Hazardous Materials,
vol. 37, pp. 964-972, 2014.
91
44. Tran, A., Aguirre, A., Durand, H., Crose, M., and Christofides, P.D., CFD
modeling of an industrial-scale steam methane reforming furnace, Chemical
Engineering Science, vol. 171, pp. 576-598, 2017.
45. Wesenberg, M.H., Svendsen, H.F., Mass and heat transfer limitations in a
heterogeneous model of a gas-heated steam reformer, Industrial and
Engineering Chemistry Research, vol. 46, pp. 667-676, 2007.
46. Mokheimer, E.M., Hussain, M.I., Ahmed, S., Habib, M.A., Al-Qutub, A.A., On
the modeling of steam methane reforming, Journal of Energy Resources
Technology, vol. 137, pp. 012001, 2014.
47. Pedernera, M.N., PiΓ±a, J., Borio, D.O., BucalΓ‘, V., Use of a heterogeneous
two-dimensional model to improve the primary steam reformer performance,
Chemical Engineering Journal, vol. 94, pp. 29β40, 2003.
48. Ewan, B., AlleJn, R., A figure of merit assessment of the routes to hydrogen,
International Journal of Hydrogen Energy, vol. 30, pp. 809-819, 2005.
49. Jess, A., Kern, C., Modeling of multi-tubular reactors for FischerβTropsch
synthesis, Chemical Engineering Technology, vol. 32, pp. 1164β1175, 2009.
50. Marpu, D.R., Forchheimer and Brinkman extended Darcy flow model on
natural convection in a vertical cylindrical porous annulus, Acta Mechina, vol.
109, pp. 41β48, 1995.
51. Arzamendi, G., Dieguez, P.M., Montes, M., Odriozola, J.A., Aguiar, E.F., and
Gandia, L.M. Methane steam reforming in a microchannel reactor for GTL
intensification: A computational fluid dynamics simulation study, Chemical
Engineering Journal, vol. 154, pp. 168-173, 2009.
92
52. Na, J., Kshetrimayum, K.S., Lee, U., and Han, Ch, Multi-objective optimization
of microchannel reactor for Fischer-Tropsch synthesis using computational
fluid dynamics and genetic algorithm, Chemical Engineering Journal, vol. 313,
pp. 1521-1534, 2017.
53. Shin, M.S., Park, N., Park, M.J., Cheon, J.Y., Kang, J.K., Jun, K.W., and Ha,
K.S., Modeling a channel-type reactor reactor with a plate heat exchanger for
cobalt-based Fischer-Tropsch synthesis, Fuel Processing Technology, vol.
118, pp. 235-243, 2014.
54. Odunsi, A.O., OβDonovan, T.S., and Reay, D.A., Temperature stabilisation in
FischerβTropsch reactors using phase change material (PCM), Applied
Thermal Engineering, vol. 93, pp. 1377-1393, 2016.
55. Na, J., Kshetrimayum, K.S., Jung, I., Park, S., Lee, Y., Kwon, O., Mo, Y.,
Chung, J., Yi, J., Lee, U., and Han, Ch., Optimal design and operation of
Fischer-Tropsch microchannel reactor for pilot-scale compact Gas-to-Liquid
process, Chemical Engineering & Processing, vol. 128, pp. 63-76, 2018.
56. Kostenko, S.S., Ivanova, A.N., Karnuakh, A.A., and Polianczyk, E,V.,
Conversion of methane to synthesis gas in a non-premixed reversed-flow
porous bed reactor: A kinetic modeling, Chemical Engineering & Processing,
vol. 122, pp. 473-486, 2017.
57. Amirshaghighi, H., Zamaniyan, A., Ebrahimi, H., and Zarkesh, M., Numerical
simulation of methane partial oxidation in the burner and combustion chamber
of autothermal reformer, Applied Mathematical Modeling, vol. 34, pp. 2312-
2322, 2010.
93
58. An, M., Guan, X., Yang, N., Bu, Y., Xu, M., and Men, Zh., Effects of internals
on fluid dynamics and reactions in pilot-scale slurry bubble column reactors: A
CFD study for Fischer-Tropsch synthesis, Chemical Engineering and
Processing, vol. 132, pp. 194-207, 2018.
59. Calderbank, P.H., and Moo-Young, M.B., The continuous phase heat and
mass-transfer properties of dispersions, Chemical Engineering Science, vol.
16, pp. 39-54, 1961.
60. Wang, M., Lan, X., and Li, Zh., Analyses of gas flows in micro- and
nanochannels, International Journal of Heat and Mass Transfer, vol. 51. pp.
3630-3641, 2008.