Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage
In this work, the best operating parameters of NiO electrodeposition process have been identified using artificial intelligence and metaheuristics. The objective is maximizing of specific capacity of G-NiO electrodes for usage in electrochemical energy storage devices. The proposed strategy integrat...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447923000990 |
| _version_ | 1827783606024536064 |
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| author | Hesham Alhumade A.G. Olabi Hegazy Rezk Pragati A. Shinde Mohammad Ali Abdelkareem |
| author_facet | Hesham Alhumade A.G. Olabi Hegazy Rezk Pragati A. Shinde Mohammad Ali Abdelkareem |
| author_sort | Hesham Alhumade |
| collection | DOAJ |
| description | In this work, the best operating parameters of NiO electrodeposition process have been identified using artificial intelligence and metaheuristics. The objective is maximizing of specific capacity of G-NiO electrodes for usage in electrochemical energy storage devices. The proposed strategy integrates ANFIS modelling and marine predators optimization (MPA). The study focuses on three operation parameters: deposition potential and time of the G-NiO and the concentration of the electrolyte, to maximize the specific capacity of G-NiO. Based on measured data, ANFIS model is created to simulate the electrodeposition process. Next, using MPA, the best values of deposition potential and time of the G-NiO and the concentration of the electrolyte are estimated. To confirm the advantage of the adopted strategy, the response surface methodology was utilized to check the findings. The integration between ANFIS and MPA succeeded in improving the specific capacity of G-NiO electrode by 12.7% compared to the response surface methodology. |
| first_indexed | 2024-03-11T15:49:48Z |
| format | Article |
| id | doaj.art-452f445311134cd2ac50f6f310b2ac9c |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-03-11T15:49:48Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-452f445311134cd2ac50f6f310b2ac9c2023-10-26T04:17:42ZengElsevierAin Shams Engineering Journal2090-44792023-10-011410102210Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storageHesham Alhumade0A.G. Olabi1Hegazy Rezk2Pragati A. Shinde3Mohammad Ali Abdelkareem4Chemical and Materials Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia; Center of Excellence in Desalination Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia; K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Corresponding authors at: Chemical and Materials Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia (H. Alhumade). Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates (A.G. Olabi, M.A. Abdelkareem).Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates; Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Aston Triangle, Birmingham B4 7ET, UK; Corresponding authors at: Chemical and Materials Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia (H. Alhumade). Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates (A.G. Olabi, M.A. Abdelkareem).Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Saudi ArabiaSustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, P.O. Box 27272, Sharjah, United Arab EmiratesSustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates; Faculty of Engineering, Minia University, Egypt; Corresponding authors at: Chemical and Materials Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah, Saudi Arabia (H. Alhumade). Sustainable Energy & Power Systems Research Centre, RISE, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates (A.G. Olabi, M.A. Abdelkareem).In this work, the best operating parameters of NiO electrodeposition process have been identified using artificial intelligence and metaheuristics. The objective is maximizing of specific capacity of G-NiO electrodes for usage in electrochemical energy storage devices. The proposed strategy integrates ANFIS modelling and marine predators optimization (MPA). The study focuses on three operation parameters: deposition potential and time of the G-NiO and the concentration of the electrolyte, to maximize the specific capacity of G-NiO. Based on measured data, ANFIS model is created to simulate the electrodeposition process. Next, using MPA, the best values of deposition potential and time of the G-NiO and the concentration of the electrolyte are estimated. To confirm the advantage of the adopted strategy, the response surface methodology was utilized to check the findings. The integration between ANFIS and MPA succeeded in improving the specific capacity of G-NiO electrode by 12.7% compared to the response surface methodology.http://www.sciencedirect.com/science/article/pii/S2090447923000990Energy storageMarine predators optimizationANFISNiO electrodeSupercapacitor |
| spellingShingle | Hesham Alhumade A.G. Olabi Hegazy Rezk Pragati A. Shinde Mohammad Ali Abdelkareem Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage Ain Shams Engineering Journal Energy storage Marine predators optimization ANFIS NiO electrode Supercapacitor |
| title | Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage |
| title_full | Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage |
| title_fullStr | Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage |
| title_full_unstemmed | Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage |
| title_short | Marine predators optimization and ANFIS as an effective tools for maximization of specific capacity of G-NiO electrode for electrochemical energy storage |
| title_sort | marine predators optimization and anfis as an effective tools for maximization of specific capacity of g nio electrode for electrochemical energy storage |
| topic | Energy storage Marine predators optimization ANFIS NiO electrode Supercapacitor |
| url | http://www.sciencedirect.com/science/article/pii/S2090447923000990 |
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