Investigation of the slow pyrolysis kinetics of oil palm solid waste by the distributed activation energy model

Biofuels ◽  
2017 ◽  
Vol 11 (6) ◽  
pp. 663-670 ◽  
Author(s):  
Fredy Surahmanto ◽  
Harwin Saptoadi ◽  
Hary Sulistyo ◽  
Tri Agung Rohmat
Keyword(s):  
Activation Energy ◽  
Solid Waste ◽  
Oil Palm ◽  
Energy Model ◽  
Pyrolysis Kinetics ◽  
Distributed Activation Energy Model ◽  
Slow Pyrolysis ◽  
Kinetics Of

scholarly journals Investigation of the pyrolysis characteristics and kinetics of oil-palm solid waste by using Coats–Redfern method

2019 ◽  
Vol 38 (1) ◽  
pp. 298-309
Author(s):  
Fredy Surahmanto ◽  
Harwin Saptoadi ◽  
Hary Sulistyo ◽  
Tri A Rohmat
Keyword(s):  
Activation Energy ◽  
Solid Waste ◽  
Oil Palm ◽  
Frequency Factor ◽  
Nitrogen Atmosphere ◽  
Empty Fruit Bunch ◽  
Pyrolysis Kinetics ◽  
Pyrolysis Characteristics ◽  
Kinetics Of

The pyrolysis kinetics of oil-palm solid waste was investigated by performing experiments on its individual components, including empty fruit bunch, fibre, shell, as well as the blends by using a simultaneous thermogravimetric analyser at a heating rate of 10°C/min under nitrogen atmosphere and setting up from initial temperature of 30°C to a final temperature of 550°C. The results revealed that the activation energy and frequency factor values of empty fruit bunch, fibre, and shell are 7.58–63.25 kJ/mol and 8.045E-02–4.054E + 04 s−1, 10.45–50.76 kJ/mol and 3.639E-01–5.129E + 03 s−1, 9.46–55.64 kJ/mol and 2.753E-01–9.268E + 03, respectively. Whereas, the corresponding values for empty fruit bunch–fibre, empty fruit bunch–shell, fibre–shell, empty fruit bunch–fibre–shell are 2.97–38.35 kJ/mol and 1.123E-02–1.326E + 02 s−1, 7.95–40.12 kJ/mol and 9.26E-02–2.101E + 02 s−1, 9.14–50.17 kJ/mol and 1.249E-01–2.25E + 03 s−1, 8.35–45.69 kJ/mol and 1.344E + 01–4.23E + 05 s−1, respectively. It was found that the activation energy and frequency factor values of the blends were dominantly due to the role of the components with a synergistic effect occurred during pyrolysis.

Study on the pyrolysis kinetics of low-medium rank coals with distributed activation energy model

Fuel ◽  
2020 ◽  
Vol 261 ◽  
pp. 116359 ◽  
Author(s):  
Jingchong Yan ◽  
Muxin Liu ◽  
Zhihao Feng ◽  
Zongqing Bai ◽  
Hengfu Shui ◽  
...  
Keyword(s):  
Activation Energy ◽  
Energy Model ◽  
Pyrolysis Kinetics ◽  
Distributed Activation Energy Model ◽  
Kinetics Of

General distributed activation energy model (G-DAEM) on co-pyrolysis kinetics of bagasse and sewage sludge

2019 ◽  
Vol 273 ◽  
pp. 545-555 ◽  
Author(s):  
Yan Lin ◽  
Yunlong Tian ◽  
Yuqing Xia ◽  
Shiwen Fang ◽  
Yanfen Liao ◽  
...  
Keyword(s):  
Activation Energy ◽  
Sewage Sludge ◽  
Energy Model ◽  
Pyrolysis Kinetics ◽  
Distributed Activation Energy Model ◽  
Kinetics Of

scholarly journals Distributed Activation Energy Model for Thermal Decomposition of Polypropylene Waste

2021 ◽  
pp. 179-187
Author(s):  
S. Kartik ◽  
Hemant K. Balsora ◽  
Abhishek Sharma ◽  
Anand G. Chakinala ◽  
Abhishek Asthana ◽  
...  
Keyword(s):  
Activation Energy ◽  
Thermal Decomposition ◽  
Energy Model ◽  
Decomposition Kinetics ◽  
Fuel Oil ◽  
Pyrolysis Kinetics ◽  
Heating Rates ◽  
Distributed Activation Energy Model ◽  
Municipal Plastic Waste ◽  
Kinetics Of

AbstractThermal decomposition kinetics of Polypropylene (PP) waste is extremely important with respect to valorisation of waste plastics and production of utilizable components viz. chemicals, fuel oil & gas. The present research study focuses on pyrolysis kinetics of PP waste, which is present as a fraction of municipal plastic waste through distributed activation energy model (DAEM). The decomposition kinetics for PP follows a Gaussian distribution, where the normal distribution curves were centred corresponding to activation energy of 224 kJ/mol. The standard deviation of the distribution for the PP sample was found to be 22 kJ/mol indicating its wider distribution of decomposition range. The data validation has been carried out by comparing the rate parameter and extent of conversion values calculated through DAEM model with the Thermogravimetric analysis (TGA) experiments carried out for PP at various heating rates of 5, 10, 20 and 40 °C/min.

Comparative study on the pyrolysis kinetics of polyurethane foam from waste refrigerators

2019 ◽  
Vol 38 (3) ◽  
pp. 271-278 ◽  
Author(s):  
Zhitong Yao ◽  
Shaoqi Yu ◽  
Weiping Su ◽  
Weihong Wu ◽  
Junhong Tang ◽  
...  
Keyword(s):  
Activation Energy ◽  
Polyurethane Foam ◽  
Model Fitting ◽  
Energy Model ◽  
Pyrolysis Kinetics ◽  
Ozawa Method ◽  
Heating Rates ◽  
Distributed Activation Energy Model ◽  
Model Free ◽  
Kinetics Of

Thermal treatment offers advantages of significant volume reduction and energy recovery for the polyurethane foam from waste refrigerators. In this work, the pyrolysis kinetics of polyurethane foam was investigated using the model-fitting, model-free and distributed activation energy model methods. The thermogravimetric analysis indicated that the polyurethane foam decomposition could be divided into three stages with temperatures of 38°C–400°C, 400°C–550°C and 550°C–1000°C. Peak temperatures for the major decomposition stage (<400°C) were determined as 324°C, 342°C and 344°C for heating rates of 5, 15 and 25 K min-1, respectively. The activation energy ( Eα) from the Friedman, Flynn–Wall–Ozawa and Tang methods increased with degree of conversion ( α) in the range of 0.05 to 0.5. The coefficients from the Flynn–Wall–Ozawa method were larger and the resulted Eα values fell into the range of 163.980–328.190 kJ mol-1 with an average of 206.099 kJ mol-1. For the Coats–Redfern method, the diffusion models offered higher coefficients, but the E values were smaller than that from the Flynn–Wall–Ozawa method. The Eα values derived from the distributed activation energy model method were determined as 163.536–334.231 kJ mol-1, with an average of 206.799 kJ mol-1. The peak of activation energy distribution curve was located at 205.929 kJ mol-1, consistent with the thermogravimetric results. The Flynn–Wall–Ozawa and distributed activation energy model methods were more reliable for describing the polyurethane foam pyrolysis process.

Co-pyrolysis kinetics of sewage sludge and bagasse using multiple normal distributed activation energy model (M-DAEM)

2018 ◽  
Vol 259 ◽  
pp. 173-180 ◽  
Author(s):  
Yan Lin ◽  
Zhihao Chen ◽  
Minquan Dai ◽  
Shiwen Fang ◽  
Yanfen Liao ◽  
...  
Keyword(s):  
Activation Energy ◽  
Sewage Sludge ◽  
Energy Model ◽  
Pyrolysis Kinetics ◽  
Distributed Activation Energy Model ◽  
Kinetics Of
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