How Applicable Are Turbulence Assumptions Used in the Tidal Energy Industry?

Author:

Naberezhnykh Alyona123ORCID,Ingram David1ORCID,Ashton Ian2ORCID,Culina Joel4

Affiliation:

1. King’s Buildings Campus, University of Edinburgh, Edinburgh EH8 9YL, UK

2. College of Engineering Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK

3. The Charles Clouston Building ORIC, European Marine Energy Centre, Back Road, Stromness KW16 3AW, UK

4. Fundy Ocean Research Centre for Energy, 1156 W Bay Rd, Parrsboro, NS B0M 1S0, Canada

Abstract

As tidal current and marine hydro-kinetic energy converters start to be deployed in pre-commercial arrays, it is critical that the design conditions are properly characterised. Turbulence is known to influence fatigue loads and power production, so developers use turbulence models to generate unsteady flows in order to simulate device performance. Most such models construct a synthetic flow field using a combination of measured parameters and theoretical assumptions. The majority in use today are based on atmospheric flow conditions and may have limited applicability in tidal environments. In the present work, we compare key turbulence model assumptions (which are recommended by the tidal turbine standards and are used in design software) to turbulence measurements from two tidal test sites in Scotland and Canada. Here, we show that the two sites have different levels of conformity to theoretical models, with significant variability within nearby locations at the same site. The agreement with spectral models is shown to be depth-dependent. The vertical component spectrum is better represented by the Kaimal model, while the streamwise spectrum is better represented by the von Kármán model. With the exception of one site, the shear profiles follow a power law, although with a different exponent to that commonly assumed. Both sites show significant deviations from the theoretical length scales and isotropy ratios. Such deviations are likely to misrepresent the loads experienced by a device. These results highlight the turbulence characteristics at real deployment sites, which are not well represented by current models, and, hence, which must be determined using field measurements.

Funder

EPSRC and NERC Industrial Centre for Doctoral Training in Offshore Renewable Energy

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

Reference50 articles.

1. Frost, C. (2023, February 12). Cost Reduction Pathway of Tidal Stream Energy in the UK and France. Available online: https://ore.catapult.org.uk/?orecatapultreports=cost-reduction-pathway-of-tidal-stream-energy-in-the-uk-and-france.

2. (2023, February 12). Marine Renewables Canada, Tidal Energy Facts. Available online: https://marinerenewables.ca/facts/tidal-energy/.

3. West, C. (2022, July 07). Contracts for Difference Allocation Round 4 Results. The Department for Business, Energy and Industrial Strategy, Available online: https://www.gov.uk/government/publications/contracts-for-difference-cfd-allocation-round-4-results.

4. European Commission (2016). Ocean Energy Strategic Roadmap: Building Ocean Energy for Europe, Ocean Energy Forum.

5. Unsteady hydrodynamics of tidal turbine blades;Scarlett;Renew. Energy,2020

Cited by 2 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

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