气候变化领域集成服务门户(CCPortal): Optimization of power take-off system settings and regional site selection procedure for a wave energy converter

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DOI	10.1016/j.ecmx.2024.100559
	Optimization of power take-off system settings and regional site selection procedure for a wave energy converter
	Mehdipour, Hossein; Amini, Erfan; Naeeni, Seyed Taghi (Omid); Neshat, Mehdi; Gandomi, Amir H.
发表日期	2024
ISSN	2590-1745
起始页码	22
卷号	22
英文摘要	Ocean wave energy stands as a crucial component in the quest for sustainable and renewable energy sources, essential in the global effort to mitigate climate change. However, a significant challenge in this field is optimizing the efficiency of Wave Energy Converters (WECs) on a regional scale, particularly Oscillating Surge Wave Energy Converters (OSWECs). This challenge stems from the complex, nonlinear interactions between ocean waves and these devices, necessitating precise tuning of Power Take-Off (PTO) system settings and optimal placement for the highest possible performance and stability. To address this challenge, our study introduces the Hill Climb - Explorative Grey Wolf Optimizer (HC-EGWO), a novel algorithm combining local search and swarmbased global optimization strategies. This hybrid approach effectively balances exploration and exploitation in the solution space, leading to more optimal PTO settings for OSWECs. Alongside this algorithmic development, we conduct a thorough feasibility analysis based on the constraints of the flap's maximum angular motion. This ensures the optimized OSWEC operates within safe and efficient limits. In a comparative analysis with the Genetic Algorithm (GA), the Particle Swarm Optimization (PSO), the artificial Gorilla Troops Optimizer (GTO), and different implementations of the GWO, our results show an improvement in power output, with the HC-EGWO method achieving up to a 3.31% increase over other variations of the GWO and 45% increase compared to all the methods. The findings of this study not only demonstrate the effectiveness of the HC-EGWO method but also provide strategic insights for the deployment of OSWECs in areas like the South Caspian Sea, where unique environmental factors imply careful consideration in the site selection process.
英文关键词	Ocean renewable energy; Oscillating surge wave energy converter; Power take-off optimization; Site selection; Meta-heuristic; Swarm intelligence algorithms
语种	英语
WOS研究方向	Thermodynamics ; Energy & Fuels ; Mechanics
WOS类目	Thermodynamics ; Energy & Fuels ; Mechanics
WOS记录号	WOS:001204775500001
来源期刊	ENERGY CONVERSION AND MANAGEMENT-X
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/302948
作者单位	University of Tehran; Stevens Institute of Technology; Torrens University Australia; University of Technology Sydney; Obuda University
推荐引用方式 GB/T 7714	Mehdipour, Hossein,Amini, Erfan,Naeeni, Seyed Taghi ,et al. Optimization of power take-off system settings and regional site selection procedure for a wave energy converter[J],2024,22.
APA	Mehdipour, Hossein,Amini, Erfan,Naeeni, Seyed Taghi ,Neshat, Mehdi,&Gandomi, Amir H..(2024).Optimization of power take-off system settings and regional site selection procedure for a wave energy converter.ENERGY CONVERSION AND MANAGEMENT-X,22.
MLA	Mehdipour, Hossein,et al."Optimization of power take-off system settings and regional site selection procedure for a wave energy converter".ENERGY CONVERSION AND MANAGEMENT-X 22(2024).