Thermal characterization of tropical biomass feedstocks

Wilson, Lugano; Yang, Weihong; Blasiak, Włodzimierz; John, Geoffrey R.; Mhilu, Cuthbert F.

doi:10.1016/j.enconman.2010.06.058

Cited by 118 publications

(59 citation statements)

References 26 publications

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“…Feed is specified as a non-conventional component in Aspen Plus and defined in the simulation model by using the ultimate and proximate analysis. The characteristics of different feedstocks (MSWs, wood, green wastes and coffee bean husks) sourced from the literature (BEST Energies Australia Pty Ltd. Report [14], Wilson et al [15], Naveed et al [11] and Chen et al [10]) are given in Table 1. The model is based on minimization of the Gibbs free energy at equilibrium.…”

Section: Model Descriptionmentioning

confidence: 99%

Performance Analysis of an Integrated Fixed Bed Gasifier Model for Different Biomass Feedstocks

et al. 2013

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Abstract:Energy recovery from biomass by gasification technology has attracted significant interest because it satisfies a key requirement of environmental sustainability by producing near zero emissions. Though it is not a new technology, studies on its integrated process simulation and analysis are limited, in particular for municipal solid waste (MSW) gasification. This paper develops an integrated fixed bed gasifier model of biomass gasification using the Advanced System for Process ENngineering (Aspen) Plus software for its performance analysis. A computational model was developed on the basis of Gibbs free energy minimization. The model is validated with experimental data of MSW and food waste gasification available in the literature. A reasonable agreement between measured and predicted syngas composition was found. Using the validated model, the effects of operating conditions, namely air-fuel ratio and gasifier temperature, on syngas production are studied. Performance analyses have been done for four different feedstocks, namely wood, coffee bean husks, green wastes and MSWs. The ultimate and proximate analysis data for each feedstock was used for model development. It was found that operating parameters have a significant influence on syngas composition. An air-fuel ratio of 0.3 and gasifier temperature of 700 °C provides optimum performance for a fixed bed gasifier for MSWs, wood wastes, green wastes and coffee bean husks. The developed model can be useful for gasification of other biomasses (e.g., food wastes, rice husks, poultry wastes and OPEN ACCESSEnergies 2013, 6 6509 sugarcane bagasse) to predict the syngas composition. Therefore, the study provides an integrated gasification model which can be used for different biomass feedstocks.

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Section: Model Descriptionmentioning

confidence: 99%

Performance Analysis of an Integrated Fixed Bed Gasifier Model for Different Biomass Feedstocks

et al. 2013

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“…Despite the higher content of lignin in ABM shell than the ABM wood, as shown in Table 1, its burning was aided by the oil content of the kernel (housed in the shell). The burnout temperatures were, however, higher than 377, 365, 364, 378 and 382 °C obtained by Wilson et al (2011), for mill bagasse, palm stem, cashew nut shells, coffee husks and sisal bole biomass species found in the tropics. In spite of these being all tropical plants, two different biomass samples are most likely to differ in their thermal characteristic behaviour due to agronomical differences.…”

Section: Burn-out Temperaturementioning

confidence: 87%

“…It is defined as a temperature where the rate of weight loss consistently decreases to less than 1%.min -1 (Wilson et al, 2011). At this temperature, the sample decomposition can be assumed to be nearly complete and there is no further noticeable mass loss in the form of volatiles.…”

Section: Burn-out Temperaturementioning

confidence: 99%

“…Some researchers have used the technique to study the thermal decomposition of biomass under oxidative and inert conditions. For instance, Wilson et al (2011) studied the thermal degradation characteristics of bagasse, palm stem, cashew nut shells, coffee husks, and sisal bole under oxidative conditions, and found that cashew nut shells were the most reactive of the samples, based on their mass loss rate and lower burnout temperature. Similarly, Munir et al (2009) used the TG method to establish the combustion kinetics of cotton stalk, sugar cane bagasse and shea meal, while El may et al (2012) characterised date palm residue using TG analysis under oxidative conditions.…”

Section: Introductionmentioning

confidence: 99%

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Determination of oxidation characteristics and decomposition kinetics of some Nigerian biomass

Okoroigwe¹,

Enibe²,

Onyegegbu³

2016

J. energy South. Afr.

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“…In particular, TG can monitor the sample mass of substance as a function of temperature and/or time, whereas DTG is an approach performed by detecting the rate of mass loss. These two approaches have been used recently in thermal degradation of biomass samples (Eero, 1981;Jakab et al, 1997;Meszaros et al, 2007;Sebestyén et al, 2011;Shafizadeh, 1968;Varhegyi et al, 1988;Villanueva et al, 2011;Wilson et al, 2011), investigations of sewage sludge pyrolysis (Dumpelmann et al, 1991;Magdziarz and Werle, 2014), and combustion (Font et al, 2001;Magdziarz and Wilk, 2013), as well as co-combustion of sewage sludge and other substances (Otero et al, 2002;Park and Jang, 2011;Yu and Li, 2014). Operation parameters of SCPs, such as temperature and atmosphere conditions, were also evaluated using both TG and DTG approaches (Calvo et al, 2013;Manara and Zabaniotou, 2012).…”

Section: Introductionmentioning

confidence: 99%

Consequences of sludge composition on combustion performance derived from thermogravimetry analysis

Xiao

Wang

et al. 2015

Waste Management

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a b s t r a c tWastewater treatment plants produce millions of tons of sewage sludge. Sewage sludge is recognized as a promising feedstock for power generation via combustion and can be used for energy crisis adaption. We aimed to investigate the quantitative effects of various sludge characteristics on the overall sludge combustion process performance. Different types of sewage sludge were derived from numerous wastewater treatment plants in Beijing for further thermogravimetric analysis. Thermogravimetric-differential thermogravimetric curves were used to compare the performance of the studied samples. Proximate analytical data, organic compositions, elementary composition, and calorific value of the samples were determined. The relationship between combustion performance and sludge composition was also investigated. Results showed that the performance of sludge combustion was significantly affected by the concentration of protein, which is the main component of volatiles. Carbohydrates and lipids were not correlated with combustion performance, unlike protein. Overall, combustion performance varied with different sludge organic composition. The combustion rate of carbohydrates was higher than those of protein and lipid, and carbohydrate weight loss mainly occurred during the second stage (175-300°C).Carbohydrates have a substantial effect on the rate of system combustion during the second stage considering the specific combustion feature. Additionally, the combustion performance of digested sewage sludge is more negative than the others.

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Thermal characterization of tropical biomass feedstocks

Cited by 118 publications

References 26 publications

Performance Analysis of an Integrated Fixed Bed Gasifier Model for Different Biomass Feedstocks

Performance Analysis of an Integrated Fixed Bed Gasifier Model for Different Biomass Feedstocks

Determination of oxidation characteristics and decomposition kinetics of some Nigerian biomass

Consequences of sludge composition on combustion performance derived from thermogravimetry analysis

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