Collaborative Research: Analysis and design of textured super-hydrophobic surfaces capable of preventing ice formation on wind turbine blades

主要研究者：Raessi，Mehdi / Lackner，Matthew提案编号：1336232 /1336502机构：马萨诸塞州达特茅斯大学/马萨诸塞州阿默斯特大学标题：合作研究：能够防止风力涡轮机叶片结冰的纹理超疏水表面的分析和设计风能是一种清洁、可再生的家用能源，在美国非常丰富，特别是在冰形成是常见的寒冷气候中。在寒冷气候中产生可再生风能的潜力是巨大的，无论是在美国还是在国际上。然而，目前寒冷气候下的风能容量仅为500兆瓦，这主要是由于这些地点结冰带来的挑战，这具有许多不利影响。到目前为止，减灾工作在减少积冰方面取得了一定的成功，但降低了效率。该项目的研究目标是使用先进的计算模型更好地了解风力涡轮机叶片上结冰的物理过程，使用计算流体动力学和新的湍流模型研究利用纹理表面的风力涡轮机翼型和叶片的空气动力学，最后设计并评估风力涡轮机叶片的纹理超憎冰表面，以防止结冰。该项目旨在通过结合专业研究人员在风力涡轮机空气动力学、湍流建模、多相流和凝固方面的专业知识，解决风力涡轮机叶片上积冰的主要问题。对纹理超疏水表面的研究将通过减少冰的形成，从而增加涡轮机？该项目将是第一个研究纹理超疏水表面在现实世界条件下的性能，也是第一个设计纹理超疏冰表面的研究，这些表面专门为风力涡轮机叶片周围的流场设计。通过在我们的计算模拟中考虑叶片周围的局部流场，我们将根据叶片和水滴的相对速度，优化设计可能沿叶片沿着变化的纹理图案，以实现最有效的超憎冰表面。此外，将使用的计算流体动力学工具代表了对用于分析风力涡轮机翼型和叶片空气动力学的现有技术的显著进步。这项工作将创建一个计算框架，使用湍流模型设计的复杂的物理（包括过渡，分离，三维边界层，旋转）发生在风力涡轮机叶片，特别是那些有纹理的防冰表面。这些预期成果将提供必要的预测能力，以分析和设计能够在寒冷环境中运行的独特的憎冰叶片表面，从而促进这些地区风能的发展。完成研究和学生教育目标将通过增加美国和国际上可再生能源的产量来造福社会。该项目将与加拿大自然资源部的CanmetENERGY建立国际伙伴关系，包括数据共享和研究人员互动。此外，研究和教育计划提供了令人兴奋的机会，以促进马萨诸塞州系统内的两个校区之间的跨校园合作。该项目的活动将增加妇女和代表性不足的少数民族对工程学的参与。在这个项目中开发的计算工具将在马萨诸塞大学达特茅斯的计算机女孩力量夏令营中使用。本科RA将被招募使用NSF资助的LSAMP计划在马萨诸塞州阿默斯特和马萨诸塞州达特茅斯？美国的本科生人口多样化，其中40%的人在科学领域的代表性不足。已经制定了一项广泛的传播计划，教育公众了解风能和寒冷气候下结冰的问题，包括利用公共广播电台和YouTube。

PI: Raessi, Mehdi / Lackner, MatthewProposal Number: 1336232 / 1336502Institution: University of Massachusetts, Dartmouth / University of Massachusetts AmherstTitle: Collaborative Research: Analysis and design of textured super-hydrophobic surfaces capable of preventing ice formation on wind turbine bladesWind energy is a clean, renewable, and domestic energy source that is abundant in the U.S., in particular in cold climates where ice formation is common. The potential to generate renewable wind energy in cold climates is immense, both in the U.S. and internationally. The current wind energy capacity in cold climates is only 500 MW, however, which is primarily due to the challenges posed by icing at these sites, which has numerous detrimental effects. Mitigation efforts to date have had moderate success at reducing ice accumulation, but reduce efficiency. The research objectives of this project are to better understand the physics of ice formation on wind turbine blades using advanced computational models, to investigate the aerodynamics of wind turbine airfoils and blades that utilize textured surfaces using computational fluid dynamics and a novel turbulence model, and finally to design and then valuate textured super-ice-phobic surfaces for wind turbine blades in order to prevent ice formation. The project aims at addressing the major issue of ice accretion on wind turbine blades by combining the expertise of PIs in wind turbine aerodynamics, turbulence modeling, and multiphase flows and solidification. The research on textured super-hydrophobic surfaces will have a transformative effect on wind energy development in cold climates by reducing ice formation, and thus increasing the turbine?s efficiency and reliability.This project will be the first study to investigate the performance of textured super-hydrophobic surfaces under real-world conditions, and the first to design textured super-ice-phobic surfaces that are specially engineered for the flow fields around wind turbine blades. By taking into account the local flow field around a blade in our computational simulations, we will optimally design texture patterns that may vary along a blade, depending on the relative velocity of the blade and water droplets, in order to achieve most effective super-ice-phobic surfaces. Furthermore, the CFD tool that will be utilized represents a significant advance over the current state of the art for analyzing wind turbine airfoil and blade aerodynamics. This work will create a computational framework that uses a turbulence model designed for the complex physics (including transition, separation, 3D boundary layers, and rotation) occurring on a wind turbine blade, particularly those with textured ice-phobic surfaces. These expected outcomes will provide the predictive capabilities that are necessary to analyze and design the unique ice-phobic blade surfaces that are capable of operating in cold environments, enabling increased development of wind energy in these regions.Accomplishing the research and student education objectives will benefit society via increased production of renewable energy in the U.S. and internationally. An international partnership with CanmetENERGY of Natural Resources Canada will result from this project, including data sharing and researcher interaction. Moreover, the research and education plans offer exciting opportunities to promote cross-campus collaboration among two campuses within the University of Massachusetts system. The participation of women and underrepresented minorities in engineering will be increased by the activities in this project. The computational tools developed in this project will be utilized in the Computer Girl Power summer camp at UMass Dartmouth. Undergraduate RAs will be recruited using the NSF-funded LSAMP program at UMass Amherst and from UMass Dartmouth?s diverse population of undergraduates, 40% of whom are underrepresented in the sciences. An extensive dissemination plan has been developed to educate the general public about issues of wind energy and icing in cold climates, including using public radio and YouTube.