Modeling and predicting power from a WEC array
Document Type
Conference Proceeding
Publication Date
2-15-2021
Department
Department of Mechanical Engineering-Engineering Mechanics
Abstract
This study presents a numerical model of a WEC array. The model will be used in subsequent work to study the ability of data assimilation to support power prediction from WEC arrays and WEC array design. In this study, we focus on design, modeling, and control of the WEC array. A case study is performed for a small remote Alaskan town. Using an efficient method for modeling the linear interactions within a homogeneous array, we produce a model and predictionless feedback controllers for the devices within the array. The model is applied to study the effects of spectral wave forecast errors on power output. The results of this analysis show that the power performance of the WEC array will be most strongly affected by errors in prediction of the spectral period, but that reductions in performance can realistically be limited to less than 10% based on typical data assimilation based spectral forecasting accuracy levels.
Publication Title
Oceans Conference Record (IEEE)
ISBN
9780692935590
Recommended Citation
Coe, R.,
Bacelli, G.,
Gaebele, D.,
Cotten, A.,
McNatt, C.,
Wilson, D.,
Weaver, W.,
Kasper, J.,
Khalil, M.,
&
Dallman, A.
(2021).
Modeling and predicting power from a WEC array.
Oceans Conference Record (IEEE),
2021-September.
http://doi.org/10.23919/OCEANS44145.2021.9706128
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/16650