Simulation of an Autonomous Surface Vehicle With Colocated Tidal Turbine

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL IEEE Journal of Oceanic Engineering Pub Date : 2024-11-18 DOI:10.1109/JOE.2024.3428605
Linnea Weicht;Sarmad Hanif;Craig Bakker;Taiping Wang;Nolann Williams;Robert J. Cavagnaro
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Abstract

Utility-class autonomous surface vehicles (ASVs) are small watercraft that can be equipped with environmental sensors used to collect data in coastal and marine locations. Their operation is constrained by energy storage limits, but with adequate resources, marine energy presents an opportunity to provide power in remote locations. To demonstrate the feasibility of using tidal energy to support ASV operations, we created a MATLAB-Simulink modeling tool. The model simulates an ASV performing surveys and charging at a nearby tidal turbine. Model components include the tidal turbine, generator, battery storage dynamics, ASV kinetics, and ASV control schemes. We refined the tool using experimentally collected data in the tidal-resource-rich Sequim Bay, which has been proposed for tidal energy testing, to empirically identify vehicle hydrodynamic drag and inertial coefficients. We then used the model to simulate a resource characterization survey in Sequim Bay under varying environmental conditions and survey parameters. Results indicated that a tidal turbine can support continuous ASV operation in low tidal or low target survey speed scenarios, and we suggest improvements to the model.
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带潮汐涡轮机的自动水面车辆仿真
通用级自动水面车辆(asv)是一种小型船舶,可以配备环境传感器,用于在沿海和海洋地区收集数据。它们的运行受到能量存储限制的限制,但如果资源充足,海洋能源为偏远地区提供了供电的机会。为了证明利用潮汐能支持ASV操作的可行性,我们创建了一个MATLAB-Simulink建模工具。该模型模拟了一艘ASV在附近的潮汐涡轮机上进行测量和充电。模型组件包括潮汐涡轮机、发电机、电池存储动力学、ASV动力学和ASV控制方案。我们利用在潮汐资源丰富的Sequim湾实验收集的数据对该工具进行了改进,该数据已被提议用于潮汐能测试,以经验确定车辆的水动力阻力和惯性系数。然后,我们使用该模型在不同的环境条件和调查参数下模拟了Sequim湾的资源表征调查。结果表明,在低潮或低目标测量速度情况下,潮汐涡轮机可以支持ASV的连续运行,并对模型提出了改进建议。
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
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.
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