View in EDS HTML Full Text PDF Full Text

Design and Performance Optimization of Coastal Wind and Wave Energy Collection Structures.

Saved in:
Bibliographic Details
Title: Design and Performance Optimization of Coastal Wind and Wave Energy Collection Structures.
Authors: Zhang, Hanwen1 (AUTHOR), Kim, Myun1 (AUTHOR) mkim@pknu.ac.kr, Lee, Junghee1 (AUTHOR), Hu, Hao1 (AUTHOR), Wang, Yitong1 (AUTHOR)
Source: Energies (19961073). May2026, Vol. 19 Issue 10, p2252. 21p.
Subject Terms: *Particle swarm optimization, *Structural optimization, *Ocean wave power, *Mathematical optimization, *Energy storage, *Wind power
Abstract: This study proposes a health and performance optimization framework based on Particle Swarm Optimization (PSO) to improve the structural performance and energy utilization efficiency of coastal wind–wave energy harvesting systems. A semi-submersible floating wind turbine–wave energy integrated system is selected as the case study. The control variable method and numerical simulations are employed to determine the optimal structural parameters. Furthermore, a multi-scenario coordinated optimization model for wind, wave, energy storage, and load is established using the Velocity Pause Particle Swarm Optimization (VPPSO) algorithm. The optimal structural parameters are identified as an outer diameter of 16 m, an inner diameter of 8 m, a height of 8 m, and a draft of 3.5 m. The results show that VPPSO achieves faster convergence and better optimization performance compared to conventional algorithms. In the optimal scenario with wind–wave curtailment and energy storage participation, the minimum economic cost of 1780 CNY is achieved after 200 iterations. The proposed method provides theoretical guidance for the optimal design and efficient operation of coastal wind–wave energy harvesting systems. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: enr
DbLabel: Energy & Power Source
An: 194141367
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Design and Performance Optimization of Coastal Wind and Wave Energy Collection Structures.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Hanwen%22">Zhang, Hanwen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Myun%22">Kim, Myun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mkim@pknu.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Lee%2C+Junghee%22">Lee, Junghee</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Hao%22">Hu, Hao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yitong%22">Wang, Yitong</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Energies+%2819961073%29%22">Energies (19961073)</searchLink>. May2026, Vol. 19 Issue 10, p2252. 21p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Particle+swarm+optimization%22">Particle swarm optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Structural+optimization%22">Structural optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Ocean+wave+power%22">Ocean wave power</searchLink><br />*<searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Energy+storage%22">Energy storage</searchLink><br />*<searchLink fieldCode="DE" term="%22Wind+power%22">Wind power</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study proposes a health and performance optimization framework based on Particle Swarm Optimization (PSO) to improve the structural performance and energy utilization efficiency of coastal wind–wave energy harvesting systems. A semi-submersible floating wind turbine–wave energy integrated system is selected as the case study. The control variable method and numerical simulations are employed to determine the optimal structural parameters. Furthermore, a multi-scenario coordinated optimization model for wind, wave, energy storage, and load is established using the Velocity Pause Particle Swarm Optimization (VPPSO) algorithm. The optimal structural parameters are identified as an outer diameter of 16 m, an inner diameter of 8 m, a height of 8 m, and a draft of 3.5 m. The results show that VPPSO achieves faster convergence and better optimization performance compared to conventional algorithms. In the optimal scenario with wind–wave curtailment and energy storage participation, the minimum economic cost of 1780 CNY is achieved after 200 iterations. The proposed method provides theoretical guidance for the optimal design and efficient operation of coastal wind–wave energy harvesting systems. [ABSTRACT FROM AUTHOR]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=194141367
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/en19102252
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 2252
    Subjects:
      – SubjectFull: Particle swarm optimization
        Type: general
      – SubjectFull: Structural optimization
        Type: general
      – SubjectFull: Ocean wave power
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Energy storage
        Type: general
      – SubjectFull: Wind power
        Type: general
    Titles:
      – TitleFull: Design and Performance Optimization of Coastal Wind and Wave Energy Collection Structures.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang, Hanwen
      – PersonEntity:
          Name:
            NameFull: Kim, Myun
      – PersonEntity:
          Name:
            NameFull: Lee, Junghee
      – PersonEntity:
          Name:
            NameFull: Hu, Hao
      – PersonEntity:
          Name:
            NameFull: Wang, Yitong
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 15
              M: 05
              Text: May2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 19961073
          Numbering:
            – Type: volume
              Value: 19
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Energies (19961073)
              Type: main
ResultId 1