Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology
In this research, a kinetic model was developed for Napier grass air gasification using Aspen Plus software and thereafter collated and validated with experimental results obtained from a lab-scale fluidized bed reactor. Herein, the model was further employed to investigate the effect of gasificatio...
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| Format: | Article |
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Elsevier
2023
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| Online Access: | http://psasir.upm.edu.my/id/eprint/110189/ |
| _version_ | 1848865455969665024 |
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| author | Obaid Qatan, Hesham Sadeq Wan Ab Karim Ghani, Wan Azlina Md Said, Mohamad Syazarudin |
| author_facet | Obaid Qatan, Hesham Sadeq Wan Ab Karim Ghani, Wan Azlina Md Said, Mohamad Syazarudin |
| author_sort | Obaid Qatan, Hesham Sadeq |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | In this research, a kinetic model was developed for Napier grass air gasification using Aspen Plus software and thereafter collated and validated with experimental results obtained from a lab-scale fluidized bed reactor. Herein, the model was further employed to investigate the effect of gasification operating parameters, including temperature (650–850) °C, equivalence ratio (0.2–0.4), and moisture content (0–18) wt. on products’ yields and syngas quality. The model was segregated into four sections: the drying, devolatilization, combustion, and reduction sections. The outputs of tar, gas, and char from the devolatilization section were defined by external Microsoft Excel subroutine. Kinetic parameters were incorporated in the combustion and reduction sections to simulate tar cracking, oxidation, and reduction reactions. A good agreement was observed between the predicted and experimental results. Furthermore, response surface methodology (RSM) was employed to analyze the mutual effects of process variables and perform multi-objective optimization to maximize producer gas yield, higher heating value, carbon conversion efficiency, and cold gas efficiency by incorporating the predicted results from the developed kinetic model. The optimized syngas yield and HHV were 69.42 wt and 8.14 MJ/Nm3 at 850 °C, 0.3021, and 15.69 wt for temperature, ER, and moisture content, respectively. |
| first_indexed | 2025-11-15T14:04:59Z |
| format | Article |
| id | upm-110189 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:04:59Z |
| publishDate | 2023 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1101892024-09-03T07:53:04Z http://psasir.upm.edu.my/id/eprint/110189/ Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology Obaid Qatan, Hesham Sadeq Wan Ab Karim Ghani, Wan Azlina Md Said, Mohamad Syazarudin In this research, a kinetic model was developed for Napier grass air gasification using Aspen Plus software and thereafter collated and validated with experimental results obtained from a lab-scale fluidized bed reactor. Herein, the model was further employed to investigate the effect of gasification operating parameters, including temperature (650–850) °C, equivalence ratio (0.2–0.4), and moisture content (0–18) wt. on products’ yields and syngas quality. The model was segregated into four sections: the drying, devolatilization, combustion, and reduction sections. The outputs of tar, gas, and char from the devolatilization section were defined by external Microsoft Excel subroutine. Kinetic parameters were incorporated in the combustion and reduction sections to simulate tar cracking, oxidation, and reduction reactions. A good agreement was observed between the predicted and experimental results. Furthermore, response surface methodology (RSM) was employed to analyze the mutual effects of process variables and perform multi-objective optimization to maximize producer gas yield, higher heating value, carbon conversion efficiency, and cold gas efficiency by incorporating the predicted results from the developed kinetic model. The optimized syngas yield and HHV were 69.42 wt and 8.14 MJ/Nm3 at 850 °C, 0.3021, and 15.69 wt for temperature, ER, and moisture content, respectively. Elsevier 2023 Article PeerReviewed Obaid Qatan, Hesham Sadeq and Wan Ab Karim Ghani, Wan Azlina and Md Said, Mohamad Syazarudin (2023) Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology. Energy, 270. art. no. 126883. pp. 1-13. ISSN 0360-5442; ESSN: 1873-6785 https://linkinghub.elsevier.com/retrieve/pii/S0360544223002773 10.1016/j.energy.2023.126883 |
| spellingShingle | Obaid Qatan, Hesham Sadeq Wan Ab Karim Ghani, Wan Azlina Md Said, Mohamad Syazarudin Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| title | Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| title_full | Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| title_fullStr | Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| title_full_unstemmed | Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| title_short | Prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| title_sort | prediction and optimization of syngas production from napier grass air gasification via kinetic modelling and response surface methodology |
| url | http://psasir.upm.edu.my/id/eprint/110189/ http://psasir.upm.edu.my/id/eprint/110189/ http://psasir.upm.edu.my/id/eprint/110189/ |