scholarly journals Estimation of HHV based on pyrolysis model of Torrefied fuel using woody and herbaceous biomass

2020 ◽  
Vol 2020.95 (0) ◽  
pp. P_027
Author(s):  
Fumiya Moriyama ◽  
Toru Sawai
2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Ibiba Taiwo Horsfall ◽  
Macmanus Chinenye Ndukwu ◽  
Fidelis Ibiang Abam ◽  
Ololade Moses Olatunji ◽  
Ojong Elias Ojong ◽  
...  

AbstractNumerical modeling of biomass pyrolysis is becoming a cost and time-saving alternative for experimental investigations, also to predict the yield of the by-products of the entire process. In the present study, a two-step parallel kinetic model was used to predict char yield under isothermal condition. MATLAB ODE45 function codes were employed to solve a set of differential equations that predicts the %char at varying residence times and temperatures. The code shows how the various kinetic parameters and mass of pyrolysis products were determined. Nevertheless, the algorithm used for the prediction was validated with experimental data and results from past works. At 673.15 K, the numerical simulation using ODE45 function gives a char yield of 27.84%. From 573.15 K to 673.15 K, char yield ranges from 31.7 to 33.72% to 27.84% while experimental yield decreases from 44 to 22%. Hence, the error between algorithm prediction and experimental data from literature is − 0.26 and 0.22. Again, comparing the result of the present work with the analytical method from the literature showed a good agreement.


2021 ◽  
pp. 124977
Author(s):  
Xue Gong ◽  
Jiankui Sun ◽  
Xiangya Xu ◽  
Bo Wang ◽  
Helong Li ◽  
...  
Keyword(s):  

2021 ◽  
Vol 171 ◽  
pp. 113912
Author(s):  
Ti-Peng Wang ◽  
Hang Li ◽  
Jiang-Meng Yuan ◽  
Wen-Xin Li ◽  
Kai Li ◽  
...  
Keyword(s):  

2010 ◽  
Vol 91 (6) ◽  
pp. 669-675 ◽  
Author(s):  
A. Saravanakumar ◽  
T.M. Haridasan ◽  
Thomas B. Reed
Keyword(s):  

2018 ◽  
Vol 61 (2) ◽  
pp. 331-340 ◽  
Author(s):  
Daniela Sofia Jones ◽  
Stephen W. Searcy ◽  
Laurence M. Eaton

Abstract. The U.S. Department of Energy (DOE) has estimated herbaceous biomass availability through simulations with the Policy Analysis System (POLYSYS) agricultural modeling framework. An operational assumption for POLYSYS limited conversion of pastureland to perennial grass crops to counties east of the 100th meridian as a proxy for precipitation sufficient for economically viable yield, but allowed cropland conversion regardless of location. Knowledge of local conditions raised questions about predicted biomass quantities for Texas counties in the 2011 assessment. POLYSYS was rerun with different assumptions, specifically replacing the 100th meridian boundary with annual average precipitation data and limiting cropland conversion in low-rainfall counties. Perennial grass production was found to be overestimated by 8% and 87% in the U.S. and Texas, respectively (at $66.14 DMg-1), when limiting all land conversion to regions with >635 mm precipitation. Total herbaceous biomass predicted was approximately the same as in the BT2, but the biomass geographical location changed across the nation. Texas’ biomass contribution decreased from 6% to 1% at $66.14 DMg-1 and from 16% to 11% at $88.18 DMg-1. Subsequent to this research being conducted, the DOE released the 2016 biomass inventory assessment, and these results are compared to those newest estimates. Keywords: Billion-Ton Study, Biomass, Perennial grass, Precipitation, Switchgrass.


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