Novel interpretation of oceanographic measurements: Development and application at the Wave Hub demonstration site
Novel interpretation of oceanographic measurements: Development and application at the Wave Hub demonstration site
批准号:
NE/M007847/1
负责人:
Lars Johanning
金额:
$9.1万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2014
资助国家:
英国
项目状态:
已结题
起止时间:
2014 至 --
中文摘要
英国西南部已被命名为英国海洋能源公园,是海洋可再生能源(MRE)发展的中心。特别是,该区域已发展了相当多的设施,用于测试能源转换装置及其部件。随着技术开发人员努力使他们的产品在商业上可行,这些设施受到了业界前所未有的关注,Wave Hub就是这样一个设施。该网站位于英国康沃尔郡,为开发人员提供了一个展示其技术能力以确保商业利益的机会。因此,验证关键流程是网站用户的主要目标; i.能量提取与器件性能。海上作业的计划和执行。可靠性预测,以通知设备操作期间的服务计划iv.对于这些评估,有关设备所经历的条件和设备响应的详细信息越多,技术开发人员对其结果的信心就越大。通过NERC的研究,学术界积累了数据资源和专业知识,有能力优化海洋学数据的解释,用于MRE应用,为上述关键过程提供信息。应用这些方法并汇集通过研究建立的数据集的可行工具将便于获得基本信息,以完善其设计和操作原则。重要的是,它还将减少使用该技术估计能源转换真实成本的不确定性,增强潜在投资者的信心。该项目旨在将独特的数据集和通过NERC科学开发的领先研究方法结合起来,形成一种新方法,为运营现场的物理条件评估提供前所未有的详细程度。NERC的研究开发了对物理环境进行高度详细分析的方法,并显示了使用专门为海洋可再生能源开发的方法的好处。通过开发可访问的工具,将这些研究方法和区域数据联合收割机结合起来,该项目旨在为使用该网站的技术公司释放潜在的好处。对过程和结果的批判性分析将用于验证这些工具在实际情况中的应用。这里的结果将用于改进和发展所使用的方法,旨在开发有用的,实用的工具,以纳入行业的长期发展。为了实现这一目标,该项目已被安排为三个工作包(WP)。第一工作方案正在处理由UofE开发的现有工具的实施问题,这些工具用于验证站点数据以及评估和描述波浪枢纽站点的环境条件;第二工作方案将侧重于开发创新算法,将通过NERC研究开发的方法纳入海洋学数据的解释; WP 3将着手制定海洋学解释算法的验证方法,致力于在制定标准时采用这些标准,以加强地雷危险教育的商业化。学术界和工业界之间的关系。Wave Hub是海洋可再生能源行业的一个很好的渠道,该项目将在该组织中嵌入知识,数据和经验。最后,该项目将为海洋可再生能源行业的长期学术知识交流奠定基础,使这一新兴行业继续受益于NERC资助的研究活动。
英文摘要
The South West UK has been named a UK Marine Energy Park and is a hub for the development of marine renewable energy (MRE). In particular, the region has developed considerable facilities for testing devices to convert energy, and their components. As technology developers strive to progress their products to be commercially viable, these facilities are seeing unprecedented interest from the industry and the Wave Hub is one such facility. Situated in Cornwall, UK, this site offers developers an opportunity to demonstrate the capabilities of their technology to secure commercial interest. As such, verifying key processes is the principal aim for site-users; i. Energy extraction and device performance ii. Planning and execution of marine operationsiii. Reliability predictions to inform service schedules during device operationiv. Environmental impacts.For these assessments, the more detailed information about the conditions the devices are experiencing and device response, the more confidence technology developers can have in their results. Through NERC research, data resources and expertise have built up in the academic community that have the capability to optimise the interpretation of oceanographic data for MRE applications, informing key processes identified above. Accessible tools to apply these methods and bring together data sets established through research will ease the access to essential information to refine their design and operating principles. Critically, it will also reduce uncertainty in estimating the true cost of energy conversion with this technology, generating more confidence in potential investors.This project proposes to bring together unique data sets and leading research methodologies developed through NERC science into a novel method to provide unprecedented level of detail for the assessment of physical conditions at an operational site. NERC research has developed methods for highly detailed analysis of the physical environment and shown the benefit of using methods developed specifically for marine renewable energy. By developing accessible tools to combine these research methods and regional data, the project aims to unlock the potential benefits for the benefit of technology companies using the site. Critical analysis of the process and the results will be used to verify the application of these tools to a practical situation. Results here will be used to refine and develop the methods used, aiming to develop useful, practical tools to be incorporated into the long term development of the industry.In order to achieve the aim the project has been arranged into three work packages (WP). WP1 is addressing the implementation of existing tools developed by UofE for validation of site data and to the assessment and characterisation of the environmental conditions at the Wave Hub site; WP2 will focus on the development of innovative algorithms that will incorporate methodologies developed through NERC research to the interpretation of oceanographic data; and WP3 will initiate the development of validation methods for the oceanographic interpretation algorithms, working towards their adoption into the development of standards to enhance MRE commercialisation.This project is also aimed at developing the relationship between academia and industry. The Wave Hub represent an excellent conduit to the marine renewable energy industry and the project will embed knowledge, data and experience in this organisation. Finally, the project will lay a foundation for the long term exchange of academic knowledge to the marine renewable energy industry, allowing this nascent industry to continue to benefit from NERC funded research activities.
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DOI:
10.1016/j.renene.2016.10.049
发表时间:
2017-03
期刊:
Renewable Energy
影响因子:
8.7
作者:
[J. Walsh;J. Walsh;Imran Bashir;Joanne K. Garrett;P. Thies;P. Blondel;L. Johanning]
通讯作者:
J. Walsh;J. Walsh;Imran Bashir;Joanne K. Garrett;P. Thies;P. Blondel;L. Johanning
DOI:
10.1016/j.oceaneng.2015.12.025
发表时间:
2016-01
期刊:
Ocean Engineering
影响因子:
5
作者:
[A. Bouferrouk;Jean-Baptiste Saulnier;George H. Smith;L. Johanning]
通讯作者:
A. Bouferrouk;Jean-Baptiste Saulnier;George H. Smith;L. Johanning
DOI:
10.1016/j.oceaneng.2014.11.033
发表时间:
2015-02
期刊:
Ocean Engineering
影响因子:
5
作者:
[I. Ashton;L. Johanning]
通讯作者:
I. Ashton;L. Johanning
Underwater Sound Levels at a Wave Energy Device Testing Facility in Falmouth Bay, UK.
英国法尔茅斯湾波浪能设备测试设施的水下声级。
DOI:
10.1007/978-1-4939-2981-8_39
发表时间:
2016
期刊:
Advances in experimental medicine and biology
影响因子:
--
作者:
[Garrett JK]
通讯作者:
Garrett JK
Spatial variability of waves within a marine energy site using in-situ measurements and a high resolution spectral wave model
使用现场测量和高分辨率光谱波模型研究海洋能源站点内波浪的空间变化
DOI:
10.1016/j.energy.2013.12.065
发表时间:
2014
期刊:
Energy
影响因子:
9
作者:
[Ashton I]
通讯作者:
Ashton I
共 6 条
Resilient Integrated-Coupled FOW platform design methodology (ResIn)
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批准号:EP/R007519/1
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项目类别:Research Grant
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财政年份:2017
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负责人:Lars Johanning
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资助金额:$16.75万
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财政年份:2014
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基于观测角度的汉语名词性隐喻逻辑释义和评价方法研究
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