Thermodynamic Modeling and Analysis of Biomass Gasification For Hydrogen Production in Supercritical Water
Thermodynamic Modeling and Analysis of Biomass Gasification For Hydrogen Production in Supercritical Water
Thermodynamic Modeling and Analysis of Biomass Gasification For Hydrogen Production in Supercritical Water
Abstract
Biomass gasification in supercritical water is a promising technology for hydrogen production by utilizing wet biomass. A new experimental
system of biomass gasification in supercritical water was built in SKLMF. In this paper, a comprehensive thermodynamic analysis, including
chemical equilibrium in the reactor, gas–liquid equilibrium in the high-pressure separator, exergy and energy analysis of the whole system, was
conducted. Chemical equilibrium model is based on minimizing Gibbs free energy. By chemical equilibrium analysis in the reactor, rules of the
main parametric effects on biomass gasification in supercritical water are obtained. Simultaneously, a high-pressure gas–liquid equilibrium model
was proposed based on modified universal functional activity coefficient (UNIFAC) model, Soave–Redlich–Kwong (SRK) equation of state and
modified Huron–Vidal second-order (MHV2) mixing rule. Effects of pressure, temperature and water recycled ratio on gas–liquid equilibrium in
high-pressure separation were discussed. Finally, results from energy and exergy analysis show that energy and exergy efficiencies of the whole
system are in excess of 40% and increase with increasing heat transfer efficiencies. Energy loss of the system is caused mainly by heat transfer and
exergy loss is mainly caused by heat transfer and chemical reaction. Our research provided a thermodynamic tool for improvement of design and
operation optimization of biomass gasification system in SKLMF, which may be also applicable to other biomass gasification system.
© 2006 Elsevier B.V. All rights reserved.
Keywords: Hydrogen production; Supercritical water; Biomass gasification; Chemical equilibrium; Phase equilibrium; Energy; Exergy
1. Introduction much less hydrogen bonds and their strength is much weaker. As
a result, SCW behaves like organic solvents so that many organic
Compared with fossil fuel, biomass is a clean energy with compounds have very high solubility in it. Moreover, gases are
zero CO2 emission, because CO2 is fixed by photosynthesis dur- miscible in SCW. Thus, chemical reaction can be conducted in
ing biomass growth and released again during utilization. Due a single supercritical phase reaction medium. High concentra-
to its low energy density, direct use of biomass is not conve- tions of reactants can often be attained and there are no interphase
nient. Thus, it is necessary to convert biomass to fuel gas, such mass transport processes to hinder reaction rates [2]. As a result,
as hydrogen, which can be used cleanly and highly efficiently in biomass gasification in SCW has a high reaction rate. In addition,
fuel cells. Thermo-chemical gasification is likely to be the most biomass gasification in SCW has high gasification efficiency
cost-effective conversion process. However, a large portion of at much lower temperatures of approximately 673 K compared
biomass is wet, and this causes high drying costs in classical with conventional gasification [3]. Furthermore, biomass gasi-
thermo-chemical gasification process [1]. With the advantage fication in SCW produces higher concentration of hydrogen in
of avoiding drying process, biomass gasification in supercritical product gas, because the high water excess favors the formation
water (SCW) is a promising technology for the utilization of wet of H2 and CO2 instead of CO.
biomass. So far various experimental investigations into gasification
SCW possesses properties much different from those of liq- of biomass model compounds and real biomass in SCW have
uid water. The dielectric constant of SCW is much lower, there is been carried out [1,3–16]. But the work on thermodynamic
analysis of this process is limited. Thermodynamic analysis
is very helpful in providing theoretical guidance for optimiza-
∗ Corresponding author. Tel.: +86 29 8266 3895; fax: +86 29 8266 9033. tion of design and operation of biomass gasification system.
E-mail address: lj-guo@mail.xjtu.edu.cn (L. Guo). Tang and Kitagawa [17] and Yan et al. [18] performed chemical
1385-8947/$ – see front matter © 2006 Elsevier B.V. All rights reserved.
doi:10.1016/j.cej.2006.11.016
234 Y. Lu et al. / Chemical Engineering Journal 131 (2007) 233–244
Nomenclature
Subscript
a co-energy parameter in the SRK EOS c critical parameter
aij the molar number of element i in compound j
anm , anm,1 , anm,2 UNIFAC interaction parameters
b co-volume parameter in the SRK EOS equilibrium analysis of hydrogen production by biomass gasi-
bi0 the total molar number of element i in the initial fication in SCW based on Gibbs free energy minimization.
reactant Feng et al. [19] calculated driving forces and phase equilibrium
Cp specific heat capacity for hydrothermal upgrading in sub-critical water and biomass
C1 , C2 , C3 Mathias–Copeman parameters gasification in SCW. Calzavara et al. [20] evaluated biomass
EX , EX,ph , EX,c , EX,Q exergy, physical exergy, chemical gasification in SCW process for hydrogen production and energy
exergy and heat exergy, respectively efficiency of the process was calculated in the ideal case. Mat-
fi fugacity of component i sumura and Minowa [21] conducted fundamental design of
g, gE Gibbs free energy and excess Gibbs free energy SCW fluidized bed for biomass gasification and thermal effi-
H, Ho∗ enthalpy and enthalpy at reference state ciency for the ideal case was also calculated. Yoshida et al. [22]
K equilibrium ratio performed comprehensive comparison of efficiencies and CO2
LHV low heating value emissions between biomass energy conversion technologies and
nj molar number of component j the results show that SCW gasification combined cycle for elec-
P pressure tricity generation is the most efficient for high moisture content
q1 , q2 parameters in MHV2 mixing rule biomass.
Qk van der Waals surface area of group k An experimental system was built in SKLMF to study
ri volume parameters of component i biomass gasification in SCW for hydrogen production, and the
R gas constant objective of this paper is to examine the thermodynamics of
Rk van der Waals volume of group k biomass gasification process in SCW based on the experimen-
S, So∗ entropy and entropy at reference state tal system. Thermodynamic models for chemical equilibrium in
T temperature the reactor and gas–liquid equilibrium in high-pressure separa-
V specific volume tor were developed, and exergy and energy analysis of the whole
xi molar fraction of component i in the liquid phase system were conducted. According to the thermodynamic anal-
yi molar fraction of component i in the gas phase ysis, some advice was present for improvement and operation
zi molar fraction of component i optimization of the experimental system.
Z compress factor
ZO , ZC , ZH , ZN weight fractions of oxygen, carbon, hydro-
2. Experimental system for biomass gasification in SCW
gen and nitrogen, respectively, in the biomass
fuel cell (greater than 99.9% with CO concentration less than where R is ideal gas constant, μ0i (T ) the chemical potential of
5 ppm) by pressure swing absorption (PSA). component i in standard state, and fi is partial fugacity of com-
ponent i. fi is calculated by the equation of state proposed by
3. Thermodynamic model and method DUAN [23]. More details of the model were described in our
previous work [18].
3.1. Chemical equilibrium
3.2. Gas–liquid equilibrium
Gibbs free energy of a system, with fixed T and P, can be
expressed as a linear combination of chemical potential of each At gas–liquid equilibrium, the fugacity of component i in gas
component in the system. phase equals to that in liquid phase. At given temperature T and
pressure P, the following equations can be obtained:
n
g= μ j nj (1) g
fi = fil , i = 1, 2, . . . , n (4)
j=1
fi is calculated by Soave–Redlich–Kwong (SRK) equation of
where nj and μj are molar number and chemical potential of state:
component j, respectively.
Equation of element conservation is described as: RT a
P= − (5)
V − b V (V + b)
n
aij nj − bi0 = 0, i = 1, . . . , l (2) where parameter b for mixture is derived from linear mixing
j=1 rule:
c
where aij is molar number of element i in compound j, and bi0 is b= zi bii (6)
the total molar number of element i in the initial reactant. i=1
Gibbs free energy is the minimum when a multicomponent
system reaches chemical equilibrium. Minimizing Gibbs free in which parameter bii is for corresponding pure component
energy of a system, with fixed T and P, is a simple constrained RTci
optimization problem. The constraints can be removed with the bii = 0.08664 (7)
Pci
method of Lagrange multipliers.
Chemical potential of component i (μi ) can be calculated by Parameter a in Eq. (5) for pure component is obtained from
the following expression:
R2 Tci2
aii = 0.4286 [f (Tri )]2 (8)
μi (T, P) = μ0i (T ) + RT lnfi (3) Pci
236 Y. Lu et al. / Chemical Engineering Journal 131 (2007) 233–244
Table 1 Table 2
The Ci constants and critical parameters of pure components Molecular surface area and volume values
Component C1 C2 C3 Tc (K) Pc (MPa) Gas
ri
2/3 (i)
H2 H2 O 1586.0 3.924 949.9 −0.3100
ϕi = 2/3
, ri = υ k Rk (14) CO H2 O 1455.0 −2.906 494.0 0.1390
j xj r j k CO2 H2 O 1067.0 −0.418 226.6 −0.2410
CH4 H2 O 1608.0 −2.059 499.2 −0.2550
(i) C2 H4 H2 O 1354.0 −1.542 346.5 −0.3326
In Eq. (14), Rk is van der Waals volume of group k and υk C2 H6 H2 O 1529.0 −3.081 405.0 0.0930
is the number of structural groups of type k in molecule i.
Y. Lu et al. / Chemical Engineering Journal 131 (2007) 233–244 237
Table 5
Enthalpy and entropy at the reference state, and heat capacity of an ideal gas
Cp∗ = A + BT + BT 2 + BT 3 (J/(mol K)) Ho∗ (kJ/mol) So∗ (J/(mol K))
Fig. 8. Effects of water recycle ratio on gas composition and hydrogen recov-
ery ratio in gas phase in SPE1. Operation pressure is 15 MPa and operation
temperature is 298 K.
Table 6
Exergy and energy analysis of hydrogen production by biomass gasification in
SCW
Ex,loss (W) σ ex (%) En,loss (W) σ en (%)
Table 7
Comparison of energy and exergy efficiency with different heating methodsa
Temperature of heat resource (K)
1073 1273 1473 5800 (solar thermal)
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