Developed Design of Battle Royale Optimizer for the Optimum Identification of Solid Oxide Fuel Cell
Sustainability (Switzerland), vol.14, no.16, 2022 (SCI-Expanded, SSCI, Scopus)
- Publication Type: Article / Article
- Volume: 14 Issue: 16
- Publication Date: 2022
- Doi Number: 10.3390/su14169882
- Journal Name: Sustainability (Switzerland)
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, Aerospace Database, CAB Abstracts, Communication Abstracts, Food Science & Technology Abstracts, Geobase, INSPEC, Metadex, Veterinary Science Database, Directory of Open Access Journals, Civil Engineering Abstracts
- Keywords: solid oxide fuel cell, parameter estimation, Developed Battle Royale algorithm, sensitivity analysis
- Open Archive Collection: AVESIS Open Access Collection
- Ankara Yıldırım Beyazıt University Affiliated: No
Abstract
© 2022 by the authors.One of the most appropriate electricity production systems is solid oxide fuel cells (SOFCs), which are important because they are highly efficient, flexible to fuel, and have fewer environmental degradation effects. A new optimum technique has been provided for providing well-organized unknown parameters identification of the solid oxide fuel cell system. The main idea is to achieve the lowest amount of the sum of square error between the model’s output voltage and the empirical voltage datapoints. To get efficient results, the minimum error value has been achieved by designing a new metaheuristic algorithm, called the Developed version of Battle Royale algorithm. The reason for using this version of Battle Royale algorithm is to achieve results with higher accuracy and better convergence. The proposed technique was then applied to a 96-cell SOFC stack under different temperature and pressure values and its achievements were compared with several different latest methods to show the proposed method’s efficiency.