波浪能转换器功率输出建模及实验台测试验证

IF 3.8 2区工程技术 Q1 ENGINEERING, CIVIL

IEEE Journal of Oceanic Engineering Pub Date : 2024-02-15 DOI:10.1109/JOE.2023.3345903

Simone Giorgi;Ryan G. Coe;Meagan M. Reasoner;Giorgio Bacelli;Dominic D. Forbush;Scott Jensen;François Cazenave;Andrew Hamilton

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引用次数: 0

摘要

本文介绍了安装在蒙特雷湾水族馆研究所波浪能转换器中的动力输出系统的新数值模型的实施情况，该装置是为各种海洋研究任务提供动力而开发的。动力输出系统中同时存在液压、气动和电气子系统，这对建立一个能够复制系统主要动态特性的精确模型是一个重大挑战。通过将模拟结果与一系列台架试验中获得的测量结果进行比较，对新的数值模型进行了验证。试验台测试的数据显示与数值模型非常吻合。经过验证的模型使人们对动力输出系统复杂的非线性动态有了更深入的了解，并将为今后进一步提高性能提供支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Wave Energy Converter Power Take-Off Modeling and Validation From Experimental Bench Tests

This article describes the implementation of a new numerical model of the power take-off system installed in the Monterey Bay Aquarium Research Institute wave energy converter, a device developed to provide power to various oceanic research missions. The simultaneous presence of hydraulic, pneumatic, and electrical subsystems in the power take-off system represents a significant challenge in forging an accurate model able to replicate the main dynamic characteristics of the system. The validation of the new numerical model is addressed by comparing simulations with the measurements obtained during a series of bench tests. Data from the bench tests show good agreement with the numerical model. The validated model provides deeper insights into the complex nonlinear dynamics of the power take-off system and will support further performance improvements in the future.

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来源期刊

IEEE Journal of Oceanic Engineering 工程技术-工程：大洋

CiteScore

9.60

自引率

12.20%

发文量

审稿时长

12 months

期刊介绍： The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.