TY - CONF
TI - Parameter Modeling of a Two Cross-flow Turbine Array From Experimental Data
AU - Scherl, I
AU - Brunton, S
AU - Polagye, B
T2 - 14th European Wave and Tidal Energy Conference (EWTEC 2021)
C1 - Plymouth, UK
AB - Cross-flow turbines, also known as verticalaxisturbines, use blades that rotate about an axis perpendicularto the incoming flow to convert the kinetic energyin moving fluid to mechanical energy. In this work, theperformance of a two-turbine array in a recirculating waterchannel is modeled using Gaussian process regression. Inprior experiments, we optimized “coordinated control” setpoints (equal tip-speed ratios with an azimuthal phaseoffset between turbines) to maximize the power output 64unique geometric configurations with the turbines counterrotating.While this approach identified promising configurationswhere turbine pair out-performed geometricallyidenticalturbines in isolation, the experiments were timeconsumingto conduct. In this work, a Gaussian processregression model is initialized with a subset of randompoints from the geometric configuration space and returnsconfidence intervals for the full parameter space. Subsequentlytested points are then chosen based on the regionsof the parameter space model with the highest uncertainty.This is repeated until the model converges (i.e., the modelis unchanged with additional points tested). Results arebenchmarked against the experimental “truth”, but, infuture work, would actively guide experimental explorationof high-dimensional spaces.
DA - 2021/09//
PY - 2021
SP - 4
UR - https://proceedings.ewtec.org/product/ewtec-2021-plymouth-uk/
LA - English
KW - Current
KW - Cross Flow Turbine
KW - Modeling
KW - Array Effects
KW - Hydrodynamics
ER -