Geometric optimization of dual-chain transmission wave energy converter based on response surface method

Chenglong Li, Guojun Pan, Hui Li, Beichen Lin, Shaohui Yang, Jun Zhang and Xianbin Yan

Energy, 2025, vol. 336, issue C

Abstract: A novel dual-chain transmission wave energy converter (WEC) is proposed. This study presents a geometric optimization procedure for the oscillating floater in the WEC, based on the response surface method (RSM). The waters near Beishuang Island, China, are designated as the operational area for the WEC, considering the wave resource characteristics of the region. The optimization of the floater's geometric parameters aims to maximize both its absorption power and bandwidth. The optimization process comprehensively evaluates the floater's maximum mechanical power, resonance bandwidth, and natural period as three key performance indicators to assess its wave energy absorption characteristics. By utilizing Minitab experimental design and ANSYS AQWA hydrodynamic frequency-domain simulations, this method not only facilitates a rapid understanding of the impact of floater geometric parameters on absorption performance, but also significantly conserves computational resources. Finally, the study demonstrates the reliability of the RSM-based approach for the rapid design of floater geometric parameters in regions with low energy flux density.

Keywords: Wave energy converter; Geometric optimization; Low energy flux density; RSM; Point absorber; Dual-chain transmission (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225041854
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:336:y:2025:i:c:s0360544225041854

DOI: 10.1016/j.energy.2025.138543

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().