项目来源

美国国家科学基金(NSF)

项目主持人

Ping He

项目受资助机构

Iowa State University

项目编号

2415347

财政年度

2025,2024

立项时间

未公开

研究期限

未知 / 未知

项目级别

国家级

受资助金额

1241800.00美元

学科

未公开

学科代码

未公开

基金类别

Standard Grant

关键词

Special Initiatives ; EXP PROG TO STIM COMP RES

参与者

Hui Hu

参与机构

IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY

项目标书摘要：Wind energy is the largest renewable and carbon-free energy source.While over one-third of wind turbines are installed in cold climate regions,wind turbine icing is found to cause significant power loss and additional maintenance and operational costs,valued up to billions of dollars in the fast-growing wind energy market.The overarching goal of this project is to advance understanding of the complex multiphase flow dynamics pertinent to wind turbine icing phenomena under real-world conditions.The new knowledge will facilitate the development of effective and robust de-/anti-icing systems to ensure safer and more efficient wind turbine operations in cold climates.In the long term,this project is expected to benefit the nation’s economy and promote a zero-emission and environment-friendly society.In addition,this proposed program will create new course modules,organize summer workshops,develop outreach programs for kindergarten through 12th-grade students and teachers,and broaden participation in engineering research.The research objective of this project is to better understand wind-driven water film flow dynamics,which is responsible for the dangerous glaze ice accretion process over wind turbine blades.To this end,this project will create a tightly integrated numerical and experiment framework to accurately analyze the underlying driving mechanism of turbine icing phenomena under various conditions.In this integrated framework,the experiment corrects defects in the numerical model,and the corrected model complements lab-scale flow analyses and extends knowledge for real-world conditions.A solver-in-loop,multiphase field inversion machine learning framework will be created to identify and correct defects in existing flow models.Then,the corrected model will be used to analyze the impact of the main driving force(local wind shear at the air-water interface)on the wind-driven water film flow dynamics,such as the water film thickness,waterfront contact line movement,film/rivulet morphologies,and interfacial waves.Finally,the trained model will be further extended to analyze wind-driven water film flow dynamics for a utility-scale wind turbine,which facilitates the development of active and passive anti-/de-icing systems.The training and validation datasets and the machine learning framework will be open to the public to promote further developments and collaborations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

人员信息

Ping He(Principal Investigator)：phe@iastate.edu；Hui Hu(Co-Principal Investigator)：huhui@iastate.edu；

机构信息

【Iowa State University(Performance Institution)】StreetAddress：1350 BEARDSHEAR HALL,AMES,Iowa,United States/ZipCode：500112103；【IOWA STATE UNIVERSITY OF SCIENCE AND TECHNOLOGY】StreetAddress：1350 BEARDSHEAR HALL,AMES,Iowa,United States/PhoneNumber：5152945225/ZipCode：500112103；

项目主管部门

Directorate for Engineering(ENG)-Division of Chemical,Bioengineering,Environmental,and Transport Systems(CBET)

项目官员

Shahab Shojaei-Zadeh(Email：sshojaei@nsf.gov；Phone：7032928045)