Energy and exergy analysis of syngas production from different biomasses through air-steam gasification

doi:10.1007/s11708-016-0439-1

Frontiers in Energy

2020, Vol. 14

Issue (3): 607-619 https://doi.org/10.1007/s11708-016-0439-1

本期目录

Energy and exergy analysis of syngas production from different biomasses through air-steam gasification

S. Rupesh(

), C. Muraleedharan, P. Arun

Department of Mechanical Engineering, National Institute of Technology Calicut, Calicut 673601, India

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Abstract：

Gasification is a thermo-chemical reaction which converts biomass into fuel gases in a reactor. The efficiency of conversion depends on the effective working of the gasifier. The first step in the conversion process is the selection of a suitable feedstock capable of generating more gaseous fuels. This paper analyses the performance of different biomasses during gasification through energy and exergy analysis. A quasi-equilibrium model is developed to simulate and compare the feasibility of different biomass materials as gasifier feedstock. Parametric studies are conducted to analyze the effect of temperature, steam to biomass ratio and equivalence ratio on energy and exergy efficiencies. Of the biomasses considered, sawdust has the highest energy and exergy efficiencies and lowest irreversibility. At a gasification temperature of 1000 K, the steam to biomass ratio of unity and the equivalence ratio of 0.25, the energy efficiency, exergy efficiency and irreversibility of sawdust are 35.62%, 36.98% and 10.62 MJ/kg, respectively. It is also inferred that the biomass with lower ash content and higher carbon content contributes to maximum energy and exergy efficiencies.

Key words： gasification modeling energy exergy syngas

收稿日期: 2016-02-07 出版日期: 2020-09-14

Corresponding Author(s): S. Rupesh

引用本文:

. [J]. Frontiers in Energy, 2020, 14(3): 607-619.
S. Rupesh, C. Muraleedharan, P. Arun. Energy and exergy analysis of syngas production from different biomasses through air-steam gasification. Front. Energy, 2020, 14(3): 607-619.

链接本文:

https://academic.hep.com.cn/fie/CN/10.1007/s11708-016-0439-1
https://academic.hep.com.cn/fie/CN/Y2020/V14/I3/607

Species	c_p/(kJ·kmol^–1·K^–1)	Reference
H₂	$c p = 29.11 − 0.1916 × 10 − 2 T + 0.4003 × 10 − 5 T 2 − 0.870 × 10 − 9 T 3$	[²⁵]
CO	$c p = 28.16 + 0.1675 × 10 − 2 T + 0.5327 × 10 − 5 T 2 − 2.22 × 10 − 9 T 3$	[²⁵]
CO₂	$c p = 22.26 + 5.981 × 10 − 2 T − 3.501 × 10 − 5 T 2 + 7.469 × 10 − 9 T 3$	[²⁵]
CH₄	$c p = 18.89 + 5.024 × 10 − 2 T + 1.269 × 10 − 5 T 2 − 11.01 × 10 − 9 T 3$	[²⁵]
N₂	$c p = 39.060 − 512.79 (T 100) − 1.5 + 1072.7 (T 100) − 2 − 820.4 (T 100) − 3$	[²⁶]
O₂	$c p = 25.48 + 1.52 × 10 − 2 T − 0.7155 × 10 − 5 T 2 + 1.312 × 10 − 9 T 3$	[²⁵]
H₂O (g)	$c p = 32.24 + 0.1932 × 10 − 2 T + 1.055 × 10 − 5 T 2 − 3.595 × 10 − 9 T 3$	[²⁵]
C	$c p = 17.166 + 4.271 T 1000 − 8.79 × 105 T 2$	[²⁷]
C₆H₆	$c p = − 36.22 + 48.475 × 10 − 2 T − 31.57 × 3.501 × 10 − 5 T 2 + 77.62 × 10 − 9 T 3$	[²⁵]

Tab.1

Tab.2

Tab.3

Biomass	b	LHV/(MJ·kg^–1)	HHV/(MJ·kg^–1)	$x b i o m a s s$ /(MJ·kg^–1)
Rice husk	1.48	18.02	19.17	26.66
Coconut shell	1.20	18.85	20.09	22.60
Sawdust	1.19	19.10	20.38	22.73
Coir pith	1.23	17.60	18.49	21.61
Rubber seed shell	1.24	19.39	20.84	24.11

Tab.4

Tab.5

Fig.1

Fig.2

Fig.3

Fig.4

Fig.5

Fig.6

Fig.7

Fig.8

Tab.6

Tab.7

Sl. No.	Biomass	Regression equation/%	R²/%
1	Rice husk	$ζ ex1 = − 2.15 + 0.00616 T − 2.77 ER + 0.438 ? SBR$	80.1
		$ζ ex2 = 1.49 + 0.0154 T − 11.8 ER − 1.64 ? SBR$	91.2
		$ζ ex3 = 21.8 + 0.00684 T − 21.9 ER − 0.508 ? SBR$	99.6
		$ζ en = 8.09 + 0.0157 T − 23.6 ER − 3.32 SBR$	93.3
		$LHV = 1.08 + 0.00332 T − 4.72 ER − 0.420 ? SBR$	89.8
2	Coconut shell	$ζ ex1 = − 5.98 + 0.0158 T − 8.29 ER + 1.16 ? SBR$	80.4
		$ζ ex2 = 14.8 + 0.0291 T − 32.0 ER − 2.96 ? SBR$	92.9
		$ζ ex3 = 51.2 + 0.0145 T − 50.0 ER − 1.49 ? SBR$	98
		$ζ en = 29.9 + 0.0205 T − 44.8 ER − 5.61 ? SBR$	88.3
		$LHV = 4.52 + 0.00538 T − 10.2 ER − 0.570 ? SBR$	92.1
3	Sawdust	$ζ ex1 = − 6.64 + 0.0172 T − 9.03 ER + 1.26 ? SBR$	81.3
		$ζ ex2 = 16.9 + 0.0308 T − 35.0 ER − 3.15 ? SBR$	93.1
		$ζ ex3 = 54.2 + 0.0162 T − 53.9 ER − 1.62 ? SBR$	99.6
		$ζ en = 19.6 + 0.0274 T − 44.7 ER − 3.99 ? SBR$	84.9
		$LHV = 5.09 + 0.00574 T − 11.2 ER − 0.600 ? SBR$	92.3
4	Coir pith	$ζ ex1 = − 3.634 + 0.01094 T − 5.471 ER + 0.562 ? SBR$	79.6
		$ζ ex2 = 5.94 + 0.0250 T − 20.9 ER − 2.44 ? SBR$	92.2
		$ζ ex3 = 38.7 + 0.0118 T − 38.1 ER − 1.04 ? SBR$	99.6
		$ζ en = 14.8 + 0.0205 T − 32.1 ER − 4.14 ? SBR$	94.1
		$LHV = 2.18 + 0.00444 T − 6.83 ER − 0.469 ? SBR$	91.3
5	Rubber seed shell	$ζ ex1 = − 5.51 + 0.0139 T − 7.39 ER + 0.756 ? SBR$	83.3
		$ζ ex2 = 9.74 + 0.0237 T − 25.7 ER − 2.18 ? SBR$	93.2
		$ζ ex3 = 37.9 + 0.0118 T − 38.5 ER − 0.897 ? SBR$	99.7
		$ζ en = 19.3 + 0.0202 T − 37.9 ER − 4.13 ? SBR$	95.1
		$LHV = 3.35 + 0.00464 T − 8.51 ER − 0.460 ? SBR$	92.6

Tab.8

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