Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach
One-step pyrolyzed graphitic carbon (GC) derived from oil palm frond biomass was synthesized at different durations (1, 3, and 5 h) without utilizing of activating agent. The optimum GC-5 h exhibited a honeycomb-like structure (1.9 nm), high carbon content (84 %), graphitic peak at 2θ ∼ 24.2°, and w...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English English |
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Elsevier
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/42349/1/Sustainable%20graphitic%20carbon%20derived%20from%20oil%20palm%20frond%20biomass_ABST.pdf http://umpir.ump.edu.my/id/eprint/42349/2/Sustainable%20graphitic%20carbon%20derived%20from%20oil%20palm%20frond%20biomass.pdf |
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| author | Ullah, Mohammad Hasan, Md. Munirul Rasidi, Roslan Jose, Rajan Izan Izwan, Misnon |
| author_facet | Ullah, Mohammad Hasan, Md. Munirul Rasidi, Roslan Jose, Rajan Izan Izwan, Misnon |
| author_sort | Ullah, Mohammad |
| collection | UMP |
| description | One-step pyrolyzed graphitic carbon (GC) derived from oil palm frond biomass was synthesized at different durations (1, 3, and 5 h) without utilizing of activating agent. The optimum GC-5 h exhibited a honeycomb-like structure (1.9 nm), high carbon content (84 %), graphitic peak at 2θ ∼ 24.2°, and wide pore size (2.17 nm) suitable to accommodate solvated electrolyte ions. Symmetric supercapacitor (SSC) cells with three redox additives (hydroquinone (HQ), ammonium monovanadate (AM), and potassium ferrocyanide (PF)) in H2SO4 electrolyte are tested. The GC-5 h SSC shows a CS of 595F/g in 0.01 M HQ/H2SO4 electrolyte at a current density of 3 A/g. The cell exhibits an energy density (ED) of 22 Wh kg−1 and a power density (PD) of 2,400 W kg−1. It demonstrates a capacitance retention of 93 % after 10,000 cycles. To develop the intricate interactions between the electrode structure, active operating circumstances, and electrochemical performance of the SSC, an artificial neural network (ANN) approach was applied herein. The model uses the Levenberg-Marquart training method, incorporating the Tanh and Purelin activation functions. The data demonstrate that the constructed ANN model can predict the SSC with values that nearly match the experimental data with an MSE of 6.8122 × 10−5 and R of 0.9989. |
| first_indexed | 2024-09-25T03:52:33Z |
| format | Article |
| id | UMPir42349 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-09-25T03:52:33Z |
| publishDate | 2024 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | UMPir423492024-09-20T07:22:57Z http://umpir.ump.edu.my/id/eprint/42349/ Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach Ullah, Mohammad Hasan, Md. Munirul Rasidi, Roslan Jose, Rajan Izan Izwan, Misnon Q Science (General) QD Chemistry One-step pyrolyzed graphitic carbon (GC) derived from oil palm frond biomass was synthesized at different durations (1, 3, and 5 h) without utilizing of activating agent. The optimum GC-5 h exhibited a honeycomb-like structure (1.9 nm), high carbon content (84 %), graphitic peak at 2θ ∼ 24.2°, and wide pore size (2.17 nm) suitable to accommodate solvated electrolyte ions. Symmetric supercapacitor (SSC) cells with three redox additives (hydroquinone (HQ), ammonium monovanadate (AM), and potassium ferrocyanide (PF)) in H2SO4 electrolyte are tested. The GC-5 h SSC shows a CS of 595F/g in 0.01 M HQ/H2SO4 electrolyte at a current density of 3 A/g. The cell exhibits an energy density (ED) of 22 Wh kg−1 and a power density (PD) of 2,400 W kg−1. It demonstrates a capacitance retention of 93 % after 10,000 cycles. To develop the intricate interactions between the electrode structure, active operating circumstances, and electrochemical performance of the SSC, an artificial neural network (ANN) approach was applied herein. The model uses the Levenberg-Marquart training method, incorporating the Tanh and Purelin activation functions. The data demonstrate that the constructed ANN model can predict the SSC with values that nearly match the experimental data with an MSE of 6.8122 × 10−5 and R of 0.9989. Elsevier 2024-08-13 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42349/1/Sustainable%20graphitic%20carbon%20derived%20from%20oil%20palm%20frond%20biomass_ABST.pdf pdf en http://umpir.ump.edu.my/id/eprint/42349/2/Sustainable%20graphitic%20carbon%20derived%20from%20oil%20palm%20frond%20biomass.pdf Ullah, Mohammad and Hasan, Md. Munirul and Rasidi, Roslan and Jose, Rajan and Izan Izwan, Misnon (2024) Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach. Journal of Electroanalytical Chemistry, 971 (118570). pp. 1-34. ISSN 1572-6657. (Published) https://doi.org/10.1016/j.jelechem.2024.118570 https://doi.org/10.1016/j.jelechem.2024.118570 |
| spellingShingle | Q Science (General) QD Chemistry Ullah, Mohammad Hasan, Md. Munirul Rasidi, Roslan Jose, Rajan Izan Izwan, Misnon Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach |
| title | Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach |
| title_full | Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach |
| title_fullStr | Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach |
| title_full_unstemmed | Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach |
| title_short | Sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application: Effect of redox additive and artificial neural network based modeling approach |
| title_sort | sustainable graphitic carbon derived from oil palm frond biomass for supercapacitor application effect of redox additive and artificial neural network based modeling approach |
| topic | Q Science (General) QD Chemistry |
| url | http://umpir.ump.edu.my/id/eprint/42349/1/Sustainable%20graphitic%20carbon%20derived%20from%20oil%20palm%20frond%20biomass_ABST.pdf http://umpir.ump.edu.my/id/eprint/42349/2/Sustainable%20graphitic%20carbon%20derived%20from%20oil%20palm%20frond%20biomass.pdf |
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