Gasification of biomass/high density polyethylene mixtures in a downdraft gasifier

García-Bacaicoa, P.; Mastral, J.F.; Ceamanos, J.; Berrueco, C.; Serrano, Susana

doi:10.1016/j.biortech.2007.11.003

Cited by 71 publications

(30 citation statements)

References 11 publications

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“…Regarding the commercialization of the pyrolytic technology for bio-energy conversion, the designed pyrolytic reactor involving the variation of the operating parameters (temperature, residence time, pressure and so on) has remarkable effects on the threshold of the specific product yield and the operating cost of the process [52][53][54][55]. Most of the reactors for the fast (off-line) pyrolysis of biomass to produce bio-oil or fuel gases is summarized by Bridgewater [51], estimated in terms of product yield, feed size, input gas, complexity and so on (Table 1).…”

Section: The Distributions Of Gas Liquid and Solid Productsmentioning

confidence: 99%

The Overview of Thermal Decomposition of Cellulose in Lignocellulosic Biomass

Xiao¹,

Gu²,

Zhang³

2013

Cellulose - Biomass Conversion

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Section: The Distributions Of Gas Liquid and Solid Productsmentioning

confidence: 99%

The Overview of Thermal Decomposition of Cellulose in Lignocellulosic Biomass

Xiao¹,

Gu²,

Zhang³

2013

Cellulose - Biomass Conversion

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“…While the average bed temperature of 10% and 20%SPB in the fuel mixture increased to 750-800°C at ER in the range of 0.26-0.43, the forward reaction of water gas reaction and Boudouard reaction, refer to (9) and (10), were favored resulting in the reduction of CO 2 formation and increasing of CO and H 2 production [12], [21]. The production of CH 4 and C 2 H n also increased as the weight proportion of SPB increased in the fuel mixture for all ERs due to the plastic cracking, rather than the methanation reaction [22]. Adding SPB in the fuel mixture resulted in the higher content of hydrogen and carbon as seen in Table II, which means that the reactants are increased, so this might also be part of the reason why H 2 , CO, CH 4 , and C 2 H n release were increased.…”

Section: Improvement Of Synthesis Gas Qualitymentioning

confidence: 96%

Utilization of Plastic Waste to Solve the Problem in High-Moisture Biomass Gasification

Chobthiangtham¹,

Fukuda²

2015

IJESD

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Abstract-With an increased interest in energy production from biomass through gasification, the properties of biomass that influenced gasification performance have been investigated. One of important properties is the moisture content. Generally, the excessive moisture in biomass is reduced to meet the acceptable level for gasification by an additional pretreatment process which always costs extra investment. One possible alternative is the co-processing of high-moisture biomass fuels with other low-moisture fuels. In this study, the utilization of plastic waste to solve the problem of high-moisture biomass gasification was investigated by mixing the high-moisture rubber woodchip (27%M.C.) with plastic waste at various mixing ratios. The results showed a significant improvement of gasification performance. Even at 10% mixing ratio, the higher heating value of the product gas increased by about 50% and 25% compared to the case of high-moisture rubber woodchip (27%M.C.) and pre-dried rubber woodchip (8.5%M.C.), respectively. Compared to mixing with rubber waste at the same weight ratio, the plastic waste addition was found to give a better gasification improvement largely due to the higher carbon and hydrogen content in plastic waste. The findings from this study have shown not only that the high-moisture biomass can be used without pretreatment needed, but also an effective solution to plastic waste disposal.

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“…Ethylene in pyrolysis gas is formed only from plastic and its fraction in pyrolysis products also is constant (30% on organic matter basis). Two compositions of wood were used: the first was taken from paper [7] to compare modeling results with experiment (wood-1); the second is averaged wood composition based on our previous researches [8] (wood-2).…”

Section: Input Data For Modellingmentioning

confidence: 99%