dc.contributor.author | İnci, Mustafa | |
dc.contributor.author | Çalışkan, Abdullah | |
dc.date.accessioned | 2020-05-24T15:31:48Z | |
dc.date.available | 2020-05-24T15:31:48Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | İnci, M., Caliskan, A. (2020).
Performance enhancement of energy extraction capability for fuel cell implementations with improved
Cuckoo search algorithm. International Journal of Hydrogen Energy, 45(19), 11309-11320.
https://doi.org/10.1016/j.ijhydene.2020.02.069 | en_US |
dc.identifier.issn | 0360-3199 | |
dc.identifier.issn | 1879-3487 | |
dc.identifier.uri | https://doi.org/10.1016/j.ijhydene.2020.02.069 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12508/1116 | |
dc.description | WOS: 000524097200032 | en_US |
dc.description.abstract | This paper addresses an improved optimization method to enhance the energy extraction capability of fuel cell implementations. In this study, the proposed method called Dynamic Cuckoo Search Algorithm (DCSA) is tested in a stand-alone fuel cell in order to control the system power under dynamic temperature response. In the operational process, a fuel cell is connected to a load through a dc-dc boost converter, and DCSA is utilized to adjust the switching duration in dc-dc converter by using voltage, current and temperature parameters. In this way, it controls the output voltage to maximize power delivery capability at the demand-side and eliminates the drawback of conventional cuckoo search algorithm (CSA) which cannot change duty cycle under operating temperature variations. In this regard, DCSA shows a significant improvement in terms of system response and achieves a more efficient power extraction than the conventional CSA method. In order to demonstrate the system performance, the stand-alone fuel cell system is constructed in Simulink environment via a processor-in the-loop (PIL) based digital implementation and analyzed by using different optimization methods. In the analysis section, the results of the proposed method are compared with conventional methods (perturb&observe mppt, incremental conductance mppt, and particle swarm optimization). In this context, convergence speed and efficiency analysis for both methods verify that the DCSA gives original results compared to conventional methods. (C) 2020 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Pergamon-Elsevier Science | en_US |
dc.relation.isversionof | 10.1016/j.ijhydene.2020.02.069 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Cuckoo search algorithm | en_US |
dc.subject | Fuel cell | en_US |
dc.subject | Energy extraction capability | en_US |
dc.subject | Mppt | en_US |
dc.subject | Dc-dc boost converter | en_US |
dc.subject.classification | Chemistry | en_US |
dc.subject.classification | Physical | en_US |
dc.subject.classification | Electrochemistry | en_US |
dc.subject.classification | Energy & Fuels | en_US |
dc.subject.classification | Proton exchange membrane fuel cells (PEMFC) | Fuel cells | Cell stack | en_US |
dc.subject.other | Dc-dc converter | en_US |
dc.subject.other | Power point tracking | en_US |
dc.subject.other | Mppt controller | en_US |
dc.subject.other | System | en_US |
dc.subject.other | Optimization | en_US |
dc.subject.other | Design | en_US |
dc.subject.other | Pemfc | en_US |
dc.subject.other | Generation | en_US |
dc.subject.other | Management | en_US |
dc.subject.other | Electric power transmission | en_US |
dc.subject.other | Extraction | en_US |
dc.subject.other | Fuel cells | en_US |
dc.subject.other | Learning algorithms | en_US |
dc.subject.other | Maximum power point trackers | en_US |
dc.subject.other | Particle swarm optimization (PSO) | en_US |
dc.subject.other | Temperature | en_US |
dc.subject.other | Cuckoo search algorithms | en_US |
dc.subject.other | Digital implementation | en_US |
dc.subject.other | Incremental conductance | en_US |
dc.subject.other | Performance enhancements | en_US |
dc.subject.other | Processor-in-the-loop (PIL) | en_US |
dc.subject.other | Temperature parameters | en_US |
dc.title | Performance enhancement of energy extraction capability for fuel cell implementations with improved Cuckoo search algorithm | en_US |
dc.type | article | en_US |
dc.relation.journal | International Journal of Hydrogen Energy | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Mekatronik Mühendisliği Bölümü | en_US |
dc.contributor.department | Mühendislik ve Doğa Bilimleri Fakültesi -- Biyomedikal Mühendisliği Bölümü | |
dc.contributor.authorID | 0000-0002-0900-5946 | en_US |
dc.identifier.volume | 45 | en_US |
dc.identifier.issue | 19 | en_US |
dc.identifier.startpage | 11309 | en_US |
dc.identifier.endpage | 11320 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.isteauthor | İnci, Mustafa | en_US |
dc.contributor.isteauthor | Çalışkan, Abdullah | en_US |
dc.relation.index | Web of Science Core Collection - Science Citation Index Expanded | en_US |
dc.relation.index | Web of Science - Scopus | en_US |