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| Title: | Computational intelligence approach for modeling hydrogen production : a review | Authors: | Ardabili, SF Najafi, B Shamshirband, S Bidgoli, BM Deo, RC Chau, KW |
Issue Date: | 28-Mar-2018 | Source: | Engineering applications of computational fluid mechanics, 28 Mar. 2018, , v. 12, no. 1, p. 438-458 | Abstract: | Hydrogen is a clean energy source with a relatively low pollution footprint. However, hydrogen does not exist in nature as a separate element but only in compound forms. Hydrogen is produced through a process that dissociates it from its compounds. Several methods are used for hydrogen production, which first of all differ in the energy used in this process. Investigating the viability and exact applicability of a method in a specific context requires accurate knowledge of the parameters involved in the method and the interaction between these parameters. This can be done using top-down models relying on complex mathematically driven equations. However, with the raise of computational intelligence (CI) and machine learning techniques, researchers in hydrology have increasingly been using these methods for this complex task and report promising results. The contribution of this study is to investigate the state of the art CI methods employed in hydrogen production, and to identify the CI method(s) that perform better in the prediction, assessment and optimization tasks related to different types of Hydrogen production methods. The resulting analysis provides in-depth insight into the different hydrogen production methods, modeling technique and the obtained results from various scenarios, integrating them within the framework of a common discussion and evaluation paper. The identified methods were benchmarked by a qualitative analysis of the accuracy of CI in modeling hydrogen production, providing extensive overview of its usage to empower renewable energy utilization. | Keywords: | Alternative fuels Computational intelligent Hydrogen production Modeling |
Publisher: | Hong Kong Polytechnic University, Department of Civil and Structural Engineering | Journal: | Engineering applications of computational fluid mechanics | ISSN: | 1994-2060 | EISSN: | 1997-003X | DOI: | 10.1080/19942060.2018.1452296 | Rights: | © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The following publication Sina Faizollahzadeh Ardabili, Bahman Najafi, Shahaboddin Shamshirband, Behrouz Minaei Bidgoli, Ravinesh Chand Deo & Kwok-wing Chau (2018) Computational intelligence approach for modeling hydrogen production: a review, Engineering Applications of Computational Fluid Mechanics, 12:1, 438-458 is available at https://dx.doi.org/10.1080/19942060.2018.1452296 |
| Appears in Collections: | Journal/Magazine Article |
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| Ardabili_Computational_Intelligence_Approach.pdf | 2.71 MB | Adobe PDF | View/Open |
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