[Iefac.list] INFORMS QSR Webinar by Dr. Yu Ding on 9/26 (Wed), 12PM - 1PM (CST)

[Youngjun Choe]

INFORMS-QSR Webinar Series:

Dr. Yu Ding, Texas A&M University, Speaks on

Wind Turbine Reliability and Performance Assessment, and the Data Science
Relevance

Wednesday, September 26, 12 - 1 pm (CST)

Register here: https://urldefense.proofpoint.com/v2/url?u=https-3A__zoom.us_webinar_register_WN-5FCP4oXTMlQPyC1XQc2JJKWA&d=DwIFaQ&c=Ngd-ta5yRYsqeUsEDgxhcqsYYY1Xs5ogLxWPA_2Wlc4&r=Ue5eprQ_fMYcavWXDDYHbKQI0IFAmpjoy6QR5xcYCC4Qd5ukwoooDHsBFMkK-u0r&m=M4S4jYXtAAVH2-2it8uGAvcgm41L6jQmnIiIZSr_fbo&s=8pUqHTFqmEtkHiHyfEtWN9UOSZ-70sphp6J6jPsFwLs&e=

Abstract. Wind energy is the front-runner of renewable energy sources. Its
installed capacity in the U.S. has increased more than 20 folds in the past
16 years, from 4.2 GW in 2001 to 82 GW 2017.  US Department of Energy
envisions that wind will generate 20% of the nation’s electricity by 2030
and 35% by 2050. China has been the largest wind energy provider worldwide
since 2010 and its installed capacity in 2016 was 149 GW. Chinese
government pledges that renewable sources, wind included, produce 15% of
the nation’s electricity by 2020.  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, and
other harsh environmental conditions such as icing and lighting add to the
low reliability of wind turbines.  Low reliability drives up the cost of
operations and maintenance and becomes one major obstacle towards wind
energy’s market competitiveness and viability without government subsidy.
In this talk, we will discuss the reliability issue in wind energy,
approaches to assess the system-level performance for a wind turbine
generator and strategies to countermeasure the decline in a turbine’s power
production capability, as well as the data science relevance to addressing
research challenges in wind energy applications. This talk was previously
presented on July 6, 2018 at the 8th International Workshop on Reliability
Technology and Quality Science (RTQS-2018) at the Chinese Academy of
Sciences in Beijing, China.

Bio. Dr. Yu Ding is the Mike and Sugar Barnes Professor of Industrial &
Systems Engineering, Professor of Electrical & Computer Engineering, and a
faculty affiliate with Texas A&M Energy Institute, all at Texas A&M
University.  Dr. Ding received a B.S. degree from the University of Science
& Technology of China in 1993, an M.S. degree from Tsinghua University in
1996, an M.S. degree from Penn State University in 1998, and a Ph.D. degree
from the University of Michigan in 2001. His research interests are in the
area of system informatics, and data and quality science.  Dr. Ding is a
Fellow of IISE, a Fellow of ASME, a senior member of IEEE, and a member of
INFORMS.

This event is free but advance registration is mandatory.
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