Processing Thermogravimetric Analysis Data for Pyrolysis Kinetic Study of Microalgae Biomass

Author(s):  
Pravin G. Suryawanshi ◽  
Vaibhav V. Goud
2019 ◽  
Vol 21 (6) ◽  
pp. 1350-1360 ◽  
Author(s):  
Gajendra Singh ◽  
Anil Kumar Varma ◽  
Sadiya Almas ◽  
Anusua Jana ◽  
Prasenjit Mondal ◽  
...  

2013 ◽  
Vol 110 ◽  
pp. 103-108 ◽  
Author(s):  
Zhijun Wang ◽  
Sunhua Deng ◽  
Qiang Gu ◽  
Yumin Zhang ◽  
Xuejun Cui ◽  
...  

Author(s):  
Francisco Márquez-Montesino ◽  
Fernando Trejo ◽  
José Guadalupe Rutiaga-Quiñones ◽  
Fermín Correa-Méndez

2018 ◽  
Vol 37 (1) ◽  
pp. 544-557 ◽  
Author(s):  
Alejandra Saffe ◽  
Anabel Fernandez ◽  
Germán Mazza ◽  
Rosa Rodriguez

The use of energy from biomass is becoming more common worldwide. This energy source has several benefits that promote its acceptance; it is bio-renewable, non-toxic and biodegradable. To predict its behavior as a fuel during thermal treatment, its characterization is necessary. The experimental determination of ultimate analysis data requires special instrumentation, while proximate analysis data can be obtained easily by using common equipment but, the required time is high. In this work, a methodology is applied based on thermogravimetric analysis, curves deconvolution and empirical correlations for characterizing different regional agro-industrial wastes to determine the high heating value, the contents of moisture, volatiles matter, fixed carbon, ash, carbon, hydrogen, oxygen, lignin, cellulose and hemicellulose. The obtained results are similar to those using standard techniques, showing the accuracy of proposed method and its wide application range. This methodology allows to determine the main parameters required for industrial operation in only in one step, saving time.


2011 ◽  
Vol 1312 ◽  
Author(s):  
Rafael Villegas ◽  
Yun Zhai ◽  
Hailan Xu ◽  
Dorina Magdalena Chipara ◽  
David Hui ◽  
...  

ABSTRACTNanocomposites of polystyrene loaded with various amounts of anatase (ranging between 0 % wt. and 20 % wt.) have been synthesized and investigated by thermal analysis. The research was focused on the simulation of Thermogravimetric Analysis data, aiming to a refined understanding of the interactions between of polystyrene and TiO2 nanoparticles. The dependence of the first derivative of residual mass on temperature has been used to determine more accurately the temperature at which the mass loss is maxim. Several functions have been used to simulate the dependence of the first derivative of mass loss on the temperature of the sample. The highest correlation coefficient was obtained for the asymmetric Gaussian combination, which connects two halves of a Gaussian line with different linewidth. An increase of the thermal stability of the polymeric matrix upon loading with TiO2 is reported.


2018 ◽  
Vol 133 ◽  
pp. 472-477 ◽  
Author(s):  
Gregor Tondl ◽  
Leonora Bonell ◽  
Christoph Pfeifer

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