Steam Reforming
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Transcript of Steam Reforming
MODELLING AND SIMULATION OF THE STEAM REFORM PROCESS IN THE TRANSFORMATION OF METHAN IN SYNGAS IN THE GTL TECHNOLOGY
Student: Rodrigo Farias
Federal University of AlagoasTechnology Center
Chemical Engineering Course
Maceio, 2013
INDEX
INTRODUCTION OBJECTIVES METHODOLOGY RESULTS CONCLUSIONS REFERENCES
INTRODUCTION
GTL Technology
Big sources of natural gas (oil) Offshore plants
INTRODUCTION
GTL Technology:
Steam reformingNatural gas
Steam (H2O)
Syngas (CO + H2) Fischer-Tropsch’s
reactions
Cracking
Liquid hydrocarbons
Diesel, Naphta etc.
Process’ part to be modelled
INTRODUCTION
Phenomenological Modelling:
Figure 1 – Example of a phenomenological model
Using of computer to solve them.
AdvantagensBetter comprehension of the phenomena involved;Usually allows better results in extrapolations;It can be adaptated to any programming language;
INTRODUCTION
Models regarding the time
Steady state Dynamic StateDisturbing
Project ControlReactor length (m)
Time (h)
To develop a phenomenological model to a reactor for the steam reforming process in MATLAB in the steady and dynamic states.
OBJECTIVES
METHODOLOGY
+
Dimensional model, which only takes into account interfacial gradients.
Fast reactions
Distinction between the fluid and the conditions in the catalytic surface or even inside the catalyst
It was observed that the steam reforming reactions are strongly controlled by the diffusion[6] [10].
Important thermal effects
Choosing the model:
Mass and energy balances to the fluid and solid phases (steady state):
METHODOLOGY
)( ssvgs yyak
dzdyu
)(4)( rt
ssvfpgs TT
dUTTah
dzdTcu
Flui phase:
For a cross section of the bed including solid and gas:
)( ssvgAB yyakr
)()( ssvfAB TTahrH
Initial conditions
y = y0
eT = T0
para z = 0
Conservation equations of mass and energy for the fluid and solid phases (dynamic state):
METHODOLOGY
)( ppaktp
pMzp
pMu s
svgtm
g
tm
gs
)(4)( rt
ssvfpgpgs TT
dUTTah
tTc
zTcu
For the fluid phase:
For a cross section of the bed including solid and gas:
tp
pCppakr
ss
st
tssvgAB
)1()(
tTcTTahrH
ss
Bpss
svfAB
)()(
Initial conditions:
00
zt
0
s
rs
ppTTT
00
zt
0
0
ppTT
Data for the reactor design
METHODOLOGY
Temperature in the feed 793.15 KTotal pressure 29 barNatural gas flow 135.0 Nm³/hSteam flow 399.17 Nm³/h
Natural gas composition ( volumetric base)
CH4: 81.4 % N2: 14.1 %C2H6: 2.8 % CO2: 1.0 %C3H8: 0.4 % C4H10: 0.1 %C5H12: 0.2 %
Intern diameter of the reactor 0.1016 mExtern diameter of the reactor 0.1322 mLength of the reactor 12 m
Table 1 - Data for the reactor design [10]
Sketch do reactor:
METHODOLOGY
Figure 2 – General Sketch fot the reactor
Reaction’s kinetic [19]
METHODOLOGY
2
1
3
5.21
1 )(
24
DEN
Kpp
pppk
r
COHOHCH
H
s
s
22
2
2 )(
2
2
2
DEN
Kpp
pppk
r
COHOHCO
H
s
23
42
5.33
3 )(
22
24
DENKpp
pppk
r
COHOHCH
H s
2
22
44221
H
OHOHCHCHHHCOCO p
pKpKpKpKDEN
OHCH3HCOHCOOHCO
3HCOOHCH
242
222
224
I. Steam reforming:
II. Water-gas shift:III.Metanation:
Properties of the catalyst and the bed
METHODOLOGY
Dep 0.0173 mDip 0.0084 mH 0.010 mρs 2355.2 kg/m³
Table 2 - Properties of the catalyst and the bed [10]
epipepepip
ip
epp DDDH
DDHD
DHd
)2(
21
23 3
1
2
1
2
1 2
1073,038,0
p
p
dD
dD
pc d
a 16tt
ts PA
RTFu )1( SB
The catalyst used in the model : rings Ni/Al2O3
METHODOLOGY
Phenomenological model
Phisical and chemical properties
Propriedades físico-químicas e termodinâmica
Kinetic constants
Flow propertiesThemodynamic properties
METHODOLOGY
Solution of ODE’s systems:- Runge-Kutta Method (4th e 5th order) - ode45 in MATLAB. Solution of PDE’s system:- Method of lines;- Discretization by finite differences:
zzfzf
zzf iii
)()()( 1
zzfzf
zzf iii
)()()( 1
System of PDEs → System of ODEs
METHODOLOGY
Figure 3 – Sketch of the reactor and of its spatial discretization
Sketch of the reactor with spatial discretization:
METHODOLOGY
Simplifications
Use temperature’s behavior from ALVES (2005); Ideal gas; Superficial mass velocity (us) constant; Constant pressure;
RESULTS AND DISCUSSION
0 2 4 6 8 10 120
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
Comprimento do reator (m)
Fraç
ão m
olar
dos
com
pone
ntes
CO2CH4C2H6C3H8C4H10C5H12N2H2COH2O
0 2 4 6 8 10 12750
800
850
900
950
1000
1050
Comprimento do reator (m)
Tem
pera
tura
do
reat
or (K
)
Figure 4 - Temperature profile (K) along the reactor length (m)
Figure 5 - Profile mole fraction of components with the reactor length (m)
Steady state
RESULTS AND DISCUSSION
It was observed consistent trend of the variation of the molar fraction of reactants and products;
It was found in the references a behavior similar to that found in this work. It probably differs by operating conditions and characteristics of the model adopted (Mazandarani, 2007);
Steady state
RESULTS AND DISCUSSION
Figure 8 - Profiles of each component partial pressure (bar) and reactor temperature (K) versus time (s) and the reactor length (m).
Dynamic model
RESULTS AND DISCUSSION
Dynamic model Simulation were run using the profiles from the steady state model; The integration of the discretized equations was performed using the Runge-Kutta
fourth order, implemented through own routines; Several experiments were conducted in relation to the number of discretization
points and integration step (trial and error), even though stable results were not obtained;
The results presented in Figure 8 show problems, which can be source of future studies;
CONCLUSIONS
From the simulations performed for the model in steady state and comparing the same with the literature[15], it was noted that the model is suitable for modeling the process of steam reforming;
Simulations for the dynamic state show that despite the numerical integration of the equations was performed, they still have problems. Therefore, they do not have physical meaning;
REFERENCES
• [1] ALVES, S. C. Reforma a vapor do metano para produção de hidrogênio: estudo termodinâmico e protótipo de modelo matemático de reator com membrana. Uberlândia, 2005.
• [2] ANP. Boletim da Produção de Petróleo e Gás Natural. Disponível em: <www.anp.gov.br/?dw=61389>. Acesso em: 10 ago. de 2012 às 14h. • [3] ARMOR, J.N. The multiple roles for catalysis in the production of H2. Applied Catalysis A: General, v.176, p.159-176, 1999.• [4] ARZAMENDI, G. et al. Methane steam reforming in a microchannel reactor for GTL intensification: A computational fluid dynamics simulation
study. Chemical Engineering Journal, v. 154, p. 168-173, 2009.• [5] BAKKERUD, P. K. Update on synthesis gas production for GTL. Catalysis Today, Lyngby, v. 106, p. 30-33, 2005.• [6] BIRUEL JÚNIOR, J. Análise comparativa das tecnologias embarcadas de aproveitamento de gás natural. Universidade Federal do Rio de
Janeiro, 2008.• [7] CALLAGHAN, C. A. Kinetics and catalysis of the water-gas-shift reaction: A microkinetic and graph theoretic approach, 2006. • [8] DEDEKEN, J. C.; DEVOS, E. F.; FROMENT, G. F. Chemical Reaction Engineering, série 196, 1982.• [9] DWIDEVI, P. N.; UPADHYAY, S. N.; Industrial & Engineering Chemistry Process Design and Development. v. 16, p. 157, 1977.• [10] FERNANDES, F. A. N.; SOARES JR, A. B.; Modeling of methane steam reforming in a palladium membrane reactor. Latin America Applied
Research v. 36, p. 155-161, 2006.• [11] FOGLER, H.S. Elements of Chemical Engineering. 4. ed., 2005.• [12] FRANCO, T. V. Análise Termodinâmica das Reações de Reforma do Metano e do GLP para a produção de hidrogênio, Uberlândia, 2009.• [13] FROMENT, G. F.; BISCHOFF, K. B. Chemical Reactor Analysis. 2. ed. Wiley Series in Chemical Engineering, 1990.• [14] GONÇALVES, G. et al. Modelagem de um reator integral aplicado na reação de reforma a vapor. Acta Scientiarum : Tecnology, Maringá, v.29, n.
2, p. 181-185, 2007.• [15] MAZANDARANI, M. T.; EBRAHIM, H. Modeling and Simulation of industrial adiabatic fixed-bed reactor for the catalytic reforming of methane to
syngas. European Congress of Chemical Engineering. p. 16 -20, Copenhagem, 2007. • [16] NEZHAD, M. Z. et al. Autothermal reforming of methane to synthesis gas: Modeling and simulation. Internacinoal Journal of Hydrogen Energy.
v. 34, p. 1292-1300, 2009.• [17] REICHELT, W.; BLASZ, E.; Chemie Ingenieur Technik, v. 43, p. 949, 1971.• [18] VASCONCELLOS, N. Reforma a vapor do metano em catalisadores à base de níquel promovidos com nióbia. Niterói, 2006.• [19] XU, J.; FROMENT, G.F. Methane steam reforming: II. Diffusional limitations and reactor simulation. AIChE Journal, v. 35, n. 1, p. 97-103, 1989.