Modeling the kinetics of pyrolysis of date seeds using artificial neural networks
<p>Ground date seeds were subjected to thermal analysis in a stream of Nitrogen at four different heating rates (5, 10, 15 and 20oC.min-1 ) and their TG – DTG patterns were obtained. Two peaks showed up for the degradation of lignocellulosic components. Three iso-conversional methods were used...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Academy Publishing Center
2024-05-01
|
| Series: | Renewable Energy and Sustainable Development |
| Subjects: | |
| Online Access: | http://apc.aast.edu/ojs/index.php/RESD/article/view/811 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849428189880778752 |
|---|---|
| author | R. A. Felobes Magdy Abadir |
| author_facet | R. A. Felobes Magdy Abadir |
| author_sort | R. A. Felobes |
| collection | DOAJ |
| description | <p>Ground date seeds were subjected to thermal analysis in a stream of Nitrogen at four different heating rates (5, 10, 15 and 20oC.min-1 ) and their TG – DTG patterns were obtained. Two peaks showed up for the degradation of lignocellulosic components. Three iso-conversional methods were used to obtain the activation energy of these steps, namely the Flynn-Wall-Ozawa (FWO), the Kissinger-Asahira-Sunoze (KAS) and the Friedmann methods. The values of activation energy for the first step of degradation varied from 113.76 to 117.80 kJ.mol-1 , depending on the method of calculation. For the second step, the corresponding values were 130.99, 123.07 and 127.52 kJ.mol-1 . At the end of the second peak, biochar was formed that went on cracking off its more volatile constituents at higher temperatures. An artificial Neural Network simulation was carried out for the first degradation step. The values obtained from that simulation for conversion – temperature curves and for biochar content were in excellent agreement with the corresponding experimental figures. However, the simulated values obtained for activation energy at different conversion levels were higher.</p><p><strong><br /></strong></p><p><strong>Received: 17 February 2024 </strong></p><p><strong>Accepted: 11 April 2024 </strong></p><p><strong>Published: 20 May 2024</strong></p> |
| format | Article |
| id | doaj-art-7ade81620ebd43b08b4765aeb290f9c0 |
| institution | Kabale University |
| issn | 2356-8518 2356-8569 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Academy Publishing Center |
| record_format | Article |
| series | Renewable Energy and Sustainable Development |
| spelling | doaj-art-7ade81620ebd43b08b4765aeb290f9c02025-08-20T03:28:47ZengAcademy Publishing CenterRenewable Energy and Sustainable Development2356-85182356-85692024-05-0110112313410.21622/resd.2024.10.1.811355Modeling the kinetics of pyrolysis of date seeds using artificial neural networksR. A. Felobes0Magdy Abadir1Chemical Engineering department Higher Technological InstituteThe Chemical Engineering Department, Faculty of Engineering, Cairo University, Giza, Cairo, Egypt<p>Ground date seeds were subjected to thermal analysis in a stream of Nitrogen at four different heating rates (5, 10, 15 and 20oC.min-1 ) and their TG – DTG patterns were obtained. Two peaks showed up for the degradation of lignocellulosic components. Three iso-conversional methods were used to obtain the activation energy of these steps, namely the Flynn-Wall-Ozawa (FWO), the Kissinger-Asahira-Sunoze (KAS) and the Friedmann methods. The values of activation energy for the first step of degradation varied from 113.76 to 117.80 kJ.mol-1 , depending on the method of calculation. For the second step, the corresponding values were 130.99, 123.07 and 127.52 kJ.mol-1 . At the end of the second peak, biochar was formed that went on cracking off its more volatile constituents at higher temperatures. An artificial Neural Network simulation was carried out for the first degradation step. The values obtained from that simulation for conversion – temperature curves and for biochar content were in excellent agreement with the corresponding experimental figures. However, the simulated values obtained for activation energy at different conversion levels were higher.</p><p><strong><br /></strong></p><p><strong>Received: 17 February 2024 </strong></p><p><strong>Accepted: 11 April 2024 </strong></p><p><strong>Published: 20 May 2024</strong></p>http://apc.aast.edu/ojs/index.php/RESD/article/view/811pyrolysis , date seeds , conversion, percent biochar , activation energy , ann simulation |
| spellingShingle | R. A. Felobes Magdy Abadir Modeling the kinetics of pyrolysis of date seeds using artificial neural networks Renewable Energy and Sustainable Development pyrolysis , date seeds , conversion, percent biochar , activation energy , ann simulation |
| title | Modeling the kinetics of pyrolysis of date seeds using artificial neural networks |
| title_full | Modeling the kinetics of pyrolysis of date seeds using artificial neural networks |
| title_fullStr | Modeling the kinetics of pyrolysis of date seeds using artificial neural networks |
| title_full_unstemmed | Modeling the kinetics of pyrolysis of date seeds using artificial neural networks |
| title_short | Modeling the kinetics of pyrolysis of date seeds using artificial neural networks |
| title_sort | modeling the kinetics of pyrolysis of date seeds using artificial neural networks |
| topic | pyrolysis , date seeds , conversion, percent biochar , activation energy , ann simulation |
| url | http://apc.aast.edu/ojs/index.php/RESD/article/view/811 |
| work_keys_str_mv | AT rafelobes modelingthekineticsofpyrolysisofdateseedsusingartificialneuralnetworks AT magdyabadir modelingthekineticsofpyrolysisofdateseedsusingartificialneuralnetworks |