Collaborative Research: A multi-scale approach for optimizing tidal kinetic energy extraction for sustainable power generation

合作研究：优化潮汐动能提取以实现可持续发电的多尺度方法

• 批准号: 1336020
• 负责人: Luigi Martinelli
• 金额: $ 16.34万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2017-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1336020&HistoricalAwards=false
• 关键词: Collaborative; Research; multi; scale; approach

PI: Cowles, Geoffrey / Martinelli, LuigiProposal Number: 1336007 / 1336020Institution: University of Massachusetts, Dartmouth / Princeton UniversityTitle: Collaborative Research: A multi-scale approach for optimizing tidal kinetic energy extraction for sustainable power generationTidal in-stream energy conversion (TISEC) facilities provide a highly predictable and dependable source of energy. Given the economic and social incentives to migrate towards renewable energy sources there has been tremendous interest in the technology. However, at present it is not yet apparent what the most efficient design would be for real ocean conditions. A second open issue pertains to environmental impact. Such devices are able to extract a significant fraction of energy from the water column and can produce local modifications to the bed stress resulting in a morphodynamic adjustment in locations where the substrate is mobile. When sited in an inlet or constriction, a turbine array can influence the exchanges of water between an embayment and the adjacent ocean. An accurate quantification of environmental impact is critical for site planning and permitting.Presently, researchers are examining scientific issues related to tidal kinetic energy extraction using a variety of computational tools that range from commercial CFD codes for evaluating device performance to ocean models for evaluating impact and site selection. Taken independently, such approaches are forced to rely on simplifying assumptions that decrease the accuracy and utility of the computations. The device scale CFD models typically employ a uniform inflow velocity, ignoring realistic site-specific ocean conditions that influence device performance such as vertical shear, surface waves, free-stream turbulence, and eccentricity of the tidal ellipse. Large-scale hydrodynamic models typically employ subgrid-scale approaches to model energy extraction using simple parameterizations to represent the influence of the device on the flowfield.This project will apply a multi-model approach to link the scales of interest. Device scale simulations will be performed using a RANS CFD code with an optimal shape design capability. The shape design procedure uses a highly efficient approach based on control theory for construction of the gradient. For the larger scales necessary for impact assessment and site evaluation, an unstructured grid ocean model will be employed. The models will be coupled using a two-way approach. The device scale simulations will provide momentum loss and changes in turbulent kinetic energy needed for accurate subgrid-scale parameterization of energy extrac- tion in the ocean model. The ocean model will provide realistic flow conditions for the device scale simulations. The coupled approach will be applied to both idealized and realistic domains and will be capable of improving turbine performance in realistic conditions while simultaneously considering the potential impacts to the environment.This project will develop and test a process for optimizing and evaluating tidal kinetic energy extraction across the entire range of critical scales. In particular, the multi-model approach will enable (1) automatic device shape design for increased efficiency in realistic flow conditions, (2) assessments of impact on circulation and sediment transport using accurate parameterizations of turbine effects. An important outcome of this research will be the development and demonstration of a suite of tools to support the planning and permitting processes for tidal energy installations.

主要研究者：Cowles，Geoffrey / Martinelli，Luigi提案编号：1336007 /1336020机构：马萨诸塞州大学，达特茅斯/普林斯顿大学标题：合作研究：优化潮汐动能提取可持续发电的多尺度方法潮汐流能量转换（TISEC）设施提供了高度可预测和可靠的能源。考虑到向可再生能源转移的经济和社会激励因素，人们对该技术产生了极大的兴趣。然而，目前还不清楚对于真实的海洋条件，什么是最有效的设计。第二个未决问题涉及环境影响。这样的装置能够从水柱中提取相当大部分的能量，并且可以对床应力产生局部修改，从而导致在基底移动的位置中的形态动力学调整。当位于入口或收缩处时，涡轮机阵列可以影响海湾与相邻海洋之间的水交换。环境影响的准确量化对于场地规划和许可至关重要。目前，研究人员正在使用各种计算工具研究与潮汐动能提取相关的科学问题，这些工具包括用于评估设备性能的商业CFD代码以及用于评估影响和场地选择的海洋模型。独立地考虑，这些方法被迫依赖于简化的假设，从而降低了计算的准确性和实用性。设备规模CFD模型通常采用均匀流入速度，忽略影响设备性能的实际现场特定海洋条件，如垂直剪切、表面波、自由流湍流和潮汐椭圆偏心率。大尺度流体动力学模型通常采用亚网格尺度方法来模拟能量提取，使用简单的参数化来表示设备对流场的影响。本项目将采用多模型方法来连接感兴趣的尺度。将使用具有最佳形状设计能力的RANS CFD代码进行器械规模模拟。形状设计过程使用基于控制理论的高效方法来构建梯度。对于影响评估和现场评价所需的较大比例，将采用非结构化网格海洋模型。这些模型将采用双向方法进行耦合。设备尺度模拟将提供海洋模型中能量提取的精确亚网格尺度参数化所需的动量损失和湍流动能变化。海洋模型将为设备规模模拟提供真实的流动条件。耦合方法将应用于理想化和现实领域，并将能够在现实条件下提高涡轮机性能，同时考虑对环境的潜在影响。该项目将开发和测试一个过程，用于优化和评估整个临界尺度范围内的潮汐动能提取。特别是，多模型方法将使（1）自动装置形状设计，以提高实际流动条件下的效率，（2）使用涡轮机效应的精确参数化评估对环流和沉积物输运的影响。这项研究的一个重要成果将是开发和演示一套工具，以支持潮汐能设施的规划和许可过程。