Wind Turbine Nacelle Simulation Validation
School Name
Governor's School for Science & Mathematics
Grade Level
12th Grade
Presentation Topic
Engineering
Presentation Type
Mentored
Written Paper Award
3rd Place
Abstract
In order to more efficiently test wind turbine nacelles to the needs of energy company clients, as well as encourage future use of wind energy by making testing cheap and fast, the Clemson Undergraduate Energy Innovation Center needs an accurate nacelle (gearbox and generator) simulation system. This research outlines how well the current Clemson University Energy Innovation Center’s nacelle simulation correctly models the actual nacelle and test bench’s acceleration and displacement patterns. Later, attempts were made to offer explanations for the model performance level. To determine error, the actual nacelle data and nacelle simulation data were graphed against each other, and applications of RMS error and variance measurements were compared between the two data sets. Through these methods, it was recognized that the current model usually modeled the nacelle’s acceleration and displacement accurately, but in some cases reflected faults like possible incorrect flexibility settings and simulated sensor axes that did not line up with the actual sensor axes. In addition, some of the error between the tested nacelle and the simulated nacelle may have been caused by faulty sensors or errors in post-processing of the data. The analysis of this nacelle warm-up sequence will contribute to the future analysis of various test routines and simulations, and can help reveal errors in sensors as well as faults in simulations like incorrect flexibility settings.
Recommended Citation
Mueller, Gracen, "Wind Turbine Nacelle Simulation Validation" (2017). South Carolina Junior Academy of Science. 101.
https://scholarexchange.furman.edu/scjas/2017/all/101
Start Date
3-25-2017 11:59 PM
Presentation Format
Written Only
Group Project
No
Wind Turbine Nacelle Simulation Validation
In order to more efficiently test wind turbine nacelles to the needs of energy company clients, as well as encourage future use of wind energy by making testing cheap and fast, the Clemson Undergraduate Energy Innovation Center needs an accurate nacelle (gearbox and generator) simulation system. This research outlines how well the current Clemson University Energy Innovation Center’s nacelle simulation correctly models the actual nacelle and test bench’s acceleration and displacement patterns. Later, attempts were made to offer explanations for the model performance level. To determine error, the actual nacelle data and nacelle simulation data were graphed against each other, and applications of RMS error and variance measurements were compared between the two data sets. Through these methods, it was recognized that the current model usually modeled the nacelle’s acceleration and displacement accurately, but in some cases reflected faults like possible incorrect flexibility settings and simulated sensor axes that did not line up with the actual sensor axes. In addition, some of the error between the tested nacelle and the simulated nacelle may have been caused by faulty sensors or errors in post-processing of the data. The analysis of this nacelle warm-up sequence will contribute to the future analysis of various test routines and simulations, and can help reveal errors in sensors as well as faults in simulations like incorrect flexibility settings.
Mentor
Mentor: Ryan Schkoda, Clemson University Restoration Institute