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Design optimization of ocean renewable energy converter using a combined Bi-level metaheuristic approach
Department of Civil, Environmental, Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, United States.
Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.
Department of Civil, Environmental, Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ, United States.
Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran.
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2023 (engelsk)Inngår i: Energy Conversion and Management: X, E-ISSN 2590-1745, Vol. 19, artikkel-id 100371Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

In recent years, there has been an increasing interest in renewable energies in view of the fact that fossil fuels are the leading cause of catastrophic environmental consequences. Ocean wave energy is a renewable energy source that is particularly prevalent in coastal areas. Since many countries have tremendous potential to extract this type of energy, a number of researchers have sought to determine certain effective factors on wave converters’ performance, with a primary emphasis on ambient factors. In this study, we used metaheuristic optimization methods to investigate the effects of geometric factors on the performance of an Oscillating Surge Wave Energy Converter (OSWEC), in addition to the effects of hydrodynamic parameters. To do so, we used CATIA software to model different geometries which were then inserted into a numerical model developed in Flow3D software. A Ribed-surface design of the converter's flap is also introduced in this study to maximize wave-converter interaction. Besides, a Bi-level Hill Climbing Multi-Verse Optimization (HCMVO) method was also developed for this application. The results showed that the converter performs better with greater wave heights, flap freeboard heights, and shorter wave periods. Additionally, the added ribs led to more wave-converter interaction and better performance, while the distance between the flap and flume bed negatively impacted the performance. Finally, tracking the changes in the five-dimensional objective function revealed the optimum value for each parameter in all scenarios. This is achieved by the newly developed optimization algorithm, which is much faster than other existing cutting-edge metaheuristic approaches. 

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Elsevier Ltd , 2023. Vol. 19, artikkel-id 100371
Emneord [en]
Geometric design, Hydrodynamic effects, Metaheuristic optimization, Multi-verse optimizer, OSWEC, Wave energy converter
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Identifikatorer
URN: urn:nbn:se:mdh:diva-62366DOI: 10.1016/j.ecmx.2023.100371ISI: 001054362100001Scopus ID: 2-s2.0-85152927813OAI: oai:DiVA.org:mdh-62366DiVA, id: diva2:1754374
Tilgjengelig fra: 2023-05-03 Laget: 2023-05-03 Sist oppdatert: 2024-06-26bibliografisk kontrollert

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