Predicting heating values of lignocellulosics and carbonaceous materials from proximate analysis

Cordero, Tomás; Márquez, Fausto Pedro Garcı́a; Rodríguez‐Mirasol, J.; Rodrı́guez, Juan J.

doi:10.1016/s0016-2361(01)00034-5

Cited by 282 publications

(126 citation statements)

References 2 publications

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“…Among Equations (1) through (10), the most suitable and simple multiple linear regression model (Equation (1)) is used to further improve the accuracy of HHV prediction. Equation (11) combines Equation (1) and polynomial terms (both quadratic and cubic) of VM contents. Equations (12)- (14) are used to compare the different interaction effects between two components on the accuracy of HHV prediction.…”

Section: Proposed Regression Modelsmentioning

confidence: 99%

“…This infers that considering only PW samples could improve the accuracy of HHV prediction. According to previous studies, Cordero et al [11] identified a simple equation based on proximate analysis (VM and FC) that could predict the HHV of lignocellulosic materials as well as char coals. Yin [7] also found that a simple empirical equation based on proximate analysis (VM and FC) is sufficient for estimating the HHV of biomass.…”

Section: Derivation Of the New Regression Modelsmentioning

confidence: 99%

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Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis

et al. 2018

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Improper land application of excess poultry waste (PW) causes environmental issues and other problems. Meanwhile there is an increasing trend of using PW as an alternative energy resource. The Higher Heating Value (HHV) is critical for designing and analyzing the PW conversion process. Several proximate-based mathematical models have been proposed to estimate the HHV of biomass, coal, and other solid fuels. Nevertheless, only a small number of studies have focused on a subclass of fuels, especially for PW. The aim of this study is to develop proximate-based regression models for an HHV prediction of PW. Sample data of PW were collected from open literature to develop regression models. The resulting models were then validated by additional PW samples and other published models. Results indicate that the most accurate model contains linear (all proximate components), polynomial terms (quadratic and cubic of volatile matter), and interaction effect (fixed carbon and ash). Moreover, results show that best-fit regression model has a higher R 2 (91.62%) and lower estimation errors than the existing proximate-based models. Therefore, this new regression model can be an excellent tool for predicting the HHV of PW and does not require any expensive equipment that measures HHV or elemental compositions.

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Section: Proposed Regression Modelsmentioning

confidence: 99%

Section: Derivation Of the New Regression Modelsmentioning

confidence: 99%

Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis

et al. 2018

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“…This study compared four correlations for predicting HHV using proximate and ultimate analysis, which is illustrated in Table 3. Equations (5) and (6) were used for predicting the HHV using proximate analysis (Cordero et al [55]) and ultimate analysis (Friedl et al [56]). The correlations used for comparing the predicted HHV with experimental HHV of this experiment are as follows: It can be concluded from Table 3 that the correlation that best fits with the actual HHV of sewage sludge in this study was the correlation developed by Nhuchhen and Afzal [54] using ultimate analysis.…”

Section: Validating Hhv Correlation For Torrefied Biomass Using Proximentioning

confidence: 99%

Thermal Pre-Treatment of Sewage Sludge in a Lab-Scale Fluidized Bed for Enhancing Its Solid Fuel Properties

Karki

Poudel

2018

Applied Sciences

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Thermal pre-treatment of non-lignocellulosic biomass, sewage sludge, using a lab-scale fluidized bed reactor was carried out in order to enhance its solid fuel properties. The influence of the torrefaction temperature range from 200-350 • C and 0-50 min residence time on the physical and chemical properties of the torrefied product was investigated. Properties of the torrefied product were analyzed on the basis of the degree of torrefaction, ultimate and proximate analysis, and gas analysis. An attempt was made to obtain the chemical exergy of sewage sludge. An elevated torrefaction temperature presented a beneficial impact on the degree of torrefaction and chemical exergy. Moreover, the effect of the torrefaction temperature and residence time on the elemental variation of sewage sludge exhibited an increase in the weight percentage of carbon while the H/C and O/C molar ratios deteriorated. Additionally, the product gas emitted during torrefaction was analyzed to study the pathway of hydrocarbons and oxygen containing compounds. The compounds with oxygen were emitted at higher temperatures in contrast to hydrocarbon gases. In addition, the study of various correlations for predicting the calorific value of torrefied sewage sludge was made.

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“…They become an advantageous starting material for obtaining several types of carbonaceous materials; for example, where is produced, several hundreds of tons of cane sugar bagasse wastes may be produced per day and these constitute cellulosic material whose carbon content can be enriched by heat treatment that enables the formation of a number of pores of different sizes, depending on the activation method (Wing and Sessa 1997). Agricultural lignocellulosic wastes have been widely studied and shown to be good precursors for the production of activated carbon for the removal of metal ions from aqueous solutions (Cordero 2001).…”

Section: Introductionmentioning

confidence: 99%

Pb2+ adsorption from aqueous solutions on activated carbons obtained from lignocellulosic residues

Giraldo

Moreno–Piraján

2008

Braz. J. Chem. Eng.

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-Activated carbons obtained from cane sugar bagasse (ACB), African palm pit (ACP) and sawdust (ACS) were prepared through an impregnated with HNO 3 and thermal treatment in an atmosphere in N 2 /steam water at 1173 K. Adsorption isotherms of N 2 at 77 K and of CO 2 at 273 K were determined for the activated carbons for which surface area and pore volume values were from 868 to 1100 m 2 g -1 and from 0.27 to 0.55cm 3 g -1 , respectively. These results were correlated, with the ones obtained for adsorption the adsorption isotherms of Pb 2+ in aqueous solutions. Impregnation of the lignocellulosic materials with nitric acid produced acid-type activated carbons with total acid site contents between 4.13 and 6.93 mmol g -1 and pH at the point of zero charge values between 2.7 and 4.1, which were within range of the adsorption, at different pH values, since they determined, the surface charge of the activated carbons. Adsorption isotherms of Pb 2+ at different pH values (2-8) at 298 K were determined. The ion adsorption capacity on ACB, ACP and ACS were 13.7, 15.2 and 17.5 mg.g -1 , respectively. Experimental data were fitted to the Langmuir and Freundlich models and all cases the former fit better. The highest values for the quantity adsorbed on the monolayer, qm, were at pH 4, whereas the surface, charge of activated carbons was negative and the lead species mainly present was Pb 2+ . For higher pHs, the quantity of Pb 2+ adsorbed decreased, and this had an important effect on adsorption, the surface characteristics of the solids and the hydroxilated lead species that were formed in the system.

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Predicting heating values of lignocellulosics and carbonaceous materials from proximate analysis

Cited by 282 publications

References 2 publications

Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis

Regression Model to Predict the Higher Heating Value of Poultry Waste from Proximate Analysis

Thermal Pre-Treatment of Sewage Sludge in a Lab-Scale Fluidized Bed for Enhancing Its Solid Fuel Properties

Pb2+ adsorption from aqueous solutions on activated carbons obtained from lignocellulosic residues

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