Validation of Actuator Line Modeling and Large Eddy Simulations of Kite-Borne Tidal Stream Turbines against ADCP Observations

Author:

Prabahar Nimal Sudhan Saravana1ORCID,Fredriksson Sam T.12ORCID,Broström Göran1,Bergqvist Björn3

Affiliation:

1. Department of Marine Sciences, University of Gothenburg, 405 30 Gothenburg, Sweden

2. Swedish Meteorological and Hydrological Institute, 426 71 Gothenburg, Sweden

3. Minesto AB, 421 30 Gothenburg, Sweden

Abstract

The representation of tidal energy in future renewable energy systems is growing. Most of the current tidal turbine designs are limited by the minimum current velocity required for efficient operation. The Deep Green (DG) is a kite-borne tidal power plant designed to sustain efficient operation in tidal current velocities as low as 1.2 ms−1. This could increase the geographical areas suitable for large-scale tidal power arrays. Numerical modeling of the Deep Green was carried out in a previous study using large eddy simulations and the actuator line method. This numerical model is compared with acoustic Doppler current profiler (ADCP) measurements taken in the wake of a DG operating in a tidal flow under similar conditions. To be comparable, and since the ADCP measures current velocities using averages of beam components, the numerical model data were resampled using a virtual ADCP in the domain. The sensitivity of the wake observations to ADCP parameters such as pulse length, bin length, and orientation of the beams is studied using this virtual ADCP. After resampling with this virtual ADCP, the numerical model showed good agreement with the observations. Overall, the LES/ALM model predicted the flow features well compared to the observations, although the turbulence levels were underpredicted for an undisturbed tidal flow and overestimated in the DG wake 70 m downstream. The velocity deficit in the DG wake was weaker in the observations compared to the LES. The ALM/LES modeling of kite-borne tidal stream turbines is suitable for further studies of array optimization and wake propagation, etc.

Funder

Swedish Energy Agency

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference59 articles.

1. Gerkema, T. (2019). An Introduction to Tides, Cambridge University Press.

2. Abyssal recipes II: Energetics of tidal and wind mixing;Munk;Deep Sea Res. Part I Oceanogr. Res. Pap.,1998

3. Coles, D., Angeloudis, A., Goss, Z., and Miles, J. (2021). Tidal Stream vs. Wind Energy: The Value of Cyclic Power When Combined with Short-Term Storage in Hybrid Systems. Energies, 14.

4. Magagna, D., and Monfardini, R. (2016). JRC Ocean Energy Status Report 2016 Edition Technology, Market and Economic Aspects of Ocean Energy in Europe, Publications Office of the European Union.

5. Hagerman, G., Polagye, B., Bedard, R., and Previsic, M. (2006). North American Tidal in Stream Power Feasibility Demonstration Project (TISEC) Devices (Report No. EPRI-TP-001 NA Rev 2), EPRI.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Status and Challenges of Marine Current Turbines: A Global Review;Journal of Marine Science and Engineering;2024-05-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3