Co-pyrolysis of phumdi and para grass biomass from Loktak Lake

Awasthi, Ayushi; Singh, Gaje; Dhyani, Vaibhav; Kumar, Jitendra; Reddy, Yenumula Sudhakara; Adarsh, Velayudhanpillai Prasannakumari; Puthiyamadam, Anoop; Mullepureddy, Kiran Kumar; Sukumaran, Rajeev; Ummalyma, Sabeela Beevi; Bhaskar, Thallada

doi:10.1016/j.biortech.2019.03.147

Cited by 14 publications

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been reported in the literature that where the mobility of the reactant constituents depends on the lattice defects, the solid-state reactions mostly occur between either the molecules penetrating the lattices or the crystal lattices [59]. 9)- (12). It is shown that the ignition and burnout temperatures rise with the increasing heating rate, while the corresponding time decreases.…”

Section: Model-fitting Techniquementioning

confidence: 98%

“…The indices, ignition temperature (T i ), the temperature at the maximum DTG (T max ), the burnout temperature (T b ), the corresponding time (t i , t max , t b ), and the maximum and average DTG (−R p and −R v ), can be obtained from the TGA data [1,8]. These were subsequently used to monitor the combustion characteristics, comprehensive combustibility (S), flammability (C), ignition (D i ), and burnout (D b ), according to the relations in Equations ( 9)- (12).…”

Section: Combustion Characteristics Indicesmentioning

confidence: 99%

“…These include rice husk, corn cobs [3], sugarcane straw [4], peanut shells [1], sorghum bicolor glume [5], coffee residues [6], and different woody samples [7][8][9]. Recently, interest has been turning toward the exploration of different energy crops, which include diverse varieties of grass species, for thermal analysis [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Study on Combustion Characteristics and Thermodynamic Parameters of Thermal Degradation of Guinea Grass (Megathyrsus maximus) in N2-Pyrolytic and Oxidative Atmospheres

et al. 2021

View full text Add to dashboard Cite

This study provides an extensive investigation on the kinetics, combustion characteristics, and thermodynamic parameters of the thermal degradation of guinea grass (Megathyrsus maximus) in N2-pyrolytic and oxidative atmospheres. A model-fitting technique and three different iso-conversional techniques were used to investigate the kinetics of the thermal process, after which an analysis of the combustion characteristics and thermodynamic parameters was undertaken. Prior to this, experiments on the physico-chemical characterization, thermogravimetric, and spectroscopic analyses were carried out to provide insight into the compositional structure of the guinea grass. The volatile matter, fixed carbon, and total lignin contents by mass were 73.0%, 16.1%, and 21.5%, respectively, while the higher heating value was 15.46 MJ/kg. The cellulose crystallinity index, determined by XRD, was 0.43. The conversion of the GG in air proceeded at a relatively much higher rate as the maximum mass-loss rate peak in a 20 K/min read was −23.1 and −12.3%/min for the oxidative and the pyrolytic, respectively. The kinetics investigation revealed three distinctive stages of decomposition with their corresponding values of activation energy. The average values of activation energy (FWO) at the latter stages of decomposition in the pyrolytic processes (165 kJ/mol) were higher than those in the oxidative processes (125 kJ/mol)—an indication of the distinctive phenomenon at this stage of the reaction. The Coats–Redfern kinetic model revealed that chemical reactions and diffusional models played a predominant role in the thermal decomposition process of the GG. This study showed that the thermodynamic parameters varied with the conversion ratio, and the combustion performance increased with the heating rates. The use of GG as an energy feedstock is recommended based on the findings from this work.

show abstract

Section: Model-fitting Techniquementioning

confidence: 98%