PHM 2021 Pre-Conference Salon 2

Wind Turbine Performance Assessment and the Data Science Relevance


Date
October 14, 2021
Period
20:00~21:00 pm

Abstract


Wind energy is the front-runner among the renewable energy sources. The two largest wind power producing countries are China and the U.S. The installed wind energy capacity in the U.S. has increased nearly 50 folds in the past two decades, from 2.5 GW in 2000 to 122.5 GW in 2020. U.S. Department of Energy envisions that wind will generate 20% of the nation’s electricity by 2030 and 35% by 2050. China has had the largest wind energy installation capacity since 2010 and its installed capacity in 2020 is 288 GW, more than double of that of the States. China envisions that its share of non-fossil fuels in energy production will increase to around 25% by 2030. The ever-changing wind exerts a non-stationary and non-steady load on wind turbine drive train, causing wind turbines to deteriorate faster than other turbine machineries. Other harsh environmental conditions such as icing and lighting add to low reliability of wind turbines, which in turn drives up the cost of operations and maintenance. To this day and in the foreseeable future, the market competiveness of wind energy is still an issue, should government subsidy disappear. In this talk, we will discuss the reliability issue in wind energy, approaches to assess the system-level performance of a wind turbine generator, strategies to countermeasure the decline in a turbine’s power production capability, as well as the relevance of data science to addressing research challenges in wind energy applications

Speaker


Yu Ding avatar
Dr. Yu Ding USA

EiC of IISE Transactions

Professor, Texas A&M University, USA


Dr. Yu Ding is the Mike and Sugar Barnes Professor of Industrial & Systems Engineering at Texas A&M University and Associate Director for Research Engagement of Texas A&M Institute of Data Science. Dr. Ding received his Ph.D. degree from the University of Michigan in 2001. His research interest is in data and quality science. Dr. Ding is a recipient of the 2018 Texas A&M Engineering Research Impact Award, the 2019 IISE Technical Innovation Award, the 2020 Texas A&M’s University-Level Distinguished Achievement Award in Research, and a Fellow of IISE and ASME. Dr. Ding is the Editor-in-Chief for IISE Transactions for the term of 2021-2024.