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An optimization method for tidal current turbine array layout based on particle swarm optimization

delete2026-02-26
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PRE
AI
M
Ming-Wei Li
Y
Yu-Tian Wang *
S
Shijia Yan
耿晶 cover
耿晶 (Jing Geng)
X
Xiaohang Wang
DOI:10.1016/j.energy.2026.140583delete
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Abstract

Abstract

En 中文
• Introduces a bi-objective TAM-MPMOS model balancing total generated energy and marine space use. • Defines the Marine Space Utilization Rate (MSUR) to quantify spatial efficiency in turbine arrays. • Develops an Adaptive Lévy-flight Chaotic PSO (ALCPSO) to improve global search and convergence accuracy. • Proposed method achieves 36.53% higher total generated energy and a 33.56% reduction in centroid distance compared to staggered layouts. • Demonstrates better solution stability and computational efficiency than benchmark algorithms.
Keywords:
Tidal current turbine array
Marine Space Utilization Rate
Adaptive Lévy-flight Chaotic PSO
Energy generation optimization
Layout optimization

Journal

Energy cover
Energy
IF:
9.4
Papers:
4.3W
Citations:
20.2W

Organization

H
Harbin Engineering University
Scholars:
1.9W
Papers: 1.3W
Citations: 1.3W
Cited Papers

Cited Papers

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An advanced three-dimensional analytical model for wind turbine near and far wake predictions
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Performance analysis of a HAT tidal current turbine and wake flow characteristics
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errJo, Chul-Hee; Lee, Jun-Ho; Rho, Yu-Ho; Lee, Kang-Hee
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