Prediction of the lignocellulosic winery wastes behavior during gasification process in fluidized bed: Experimental and theoretical study

Abstract

This work presents studies about the gasification of the lignocellulosic winery wastes in fluidized bed to obtain energy. Based on the exergy analysis, the exergetic improvement potential (IP) and sustainability index (SI) variations with different operational variables were analyzed. IP increases and SI decreases when moisture content, ER and SBR augment. On the other hand, both indexes present contrary behavior with the temperature increasing.Additionally, the kinetic behavior was investigated using a macro thermo-balance. The thermal decomposition of the studied biomass wastes at three heating rate, 5, 10 and 15ºC/min under steam/air mixture atmosphere show that the gasification takes place in three visible stage: water vaporization, pyrolysis and the last step associated with the reaction of the char by CO2. The distributed activation energy model method (DAEM) was used. The decomposition is not a single reaction stage, it includes the contributions of parallel reaction steps on the global reaction rate.Last, the fluidization was analyzed using air at room temperature and local atmospheric pressure.Each experiment was carried out with 100% and 75% v lignocellulosic wastes. Segregation, slugging and channelization in all studied cases. However, the addition of sand particles improves the behavior of both winery wastes.

Assessment of Agroforestry Residues: Their Potential within the Biorefinery Context

“…However, another study 37 with tomato residues not processed and similar to TW from this study reported closer elemental compositions to those obtained in this work. The elemental analysis of WW is in agreement with the literature, 52−55 but some authors detected sulfur contents from 0.03% 55 up to 5.34%, 54 which may be explained by the different processing methods that were applied to obtain the winery wastes. The higher C/N ratios of forestry residues, when compared to the agrowastes, confer them a higher resistance to biological degradation, since microorganisms need a proper balance of those elements.…”

“…The HHV obtained for TW and WW were in agreement with the literature, 51,53,54 as well as the values observed for PS and PB. 50 The higher H of PB associated with the slightly higher C, and the lower O contributed to the superior HHV of PB as compared to PS (Tables 1 and 3).…”

Thermal Debinding Kinetics of Gelcast Ceramic Parts via a Modified Independent Parallel Reaction Model in Comparison with the Multiple Normally Distributed Activation Energy Model

“…Therefore, an accurate analysis of thermal degreasing kinetics is indispensable. Currently, the research on thermal debinding kinetics mainly focuses on the use of single-reaction models and model-free methods. , Yan et al used the Coats–Redfern method to study the thermal debinding kinetics of copper green parts prepared by the three-dimensional (3D) printing method and obtained the kinetic parameters and reaction order ( n = 1). Salehi et al investigated the pyrolysis kinetics of the binder in the thermoplastic processing of YSZ ceramics by three model-free methods: Ozawa–Flynn–Wall, Kissinger–Akahira–Sunose (KAS), and Friedman.…”

Distributed Activation Energy Modeling and Py-GC/MS Studies on Pyrolysis of Different Printed Circuit Boards for Resource Recovery

“…The mass loss and differential mass loss data are obtained using TGA at low heating rates of 5–100 °C min –1 as a function of time and temperature. The apparent kinetic parameters, viz., activation energy ( E a ) and pre-exponential factor ( A ), are calculated using a number of isoconversional methods and model fitting techniques. − Rodriguez and co-workers , evaluated the kinetic behavior of slow pyrolysis of winery waste and agro-residues using Flynn–Wall–Ozawa (FWO) and distributed activation energy model (DAEM) methods. The average E a values for winery wastes including grape marc and stalks were determined to be 123.1 and 189.7 kJ mol –1 , respectively, and those for agro-residues including plum pits, peach pits, and olive pits were determined to be in the range of 104.1–110.2 kJ mol –1 .…”