Coupled wind turbine design and layout optimization with nonhomogeneous wind turbines
<p>In this study, wind farms were optimized to show the benefit of coupling complete turbine design and layout optimization as well as including two different turbine designs in a fixed 1-to-1 ratio in a single wind farm. For our purposes, the variables in each turbine optimization include...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-01-01
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| Series: | Wind Energy Science |
| Online Access: | https://www.wind-energ-sci.net/4/99/2019/wes-4-99-2019.pdf |
| Summary: | <p>In this study, wind farms were optimized to show the benefit of coupling
complete turbine design and layout optimization as well as including two
different turbine designs in a fixed 1-to-1 ratio in a single wind farm. For
our purposes, the variables in each turbine optimization include hub height,
rotor diameter, rated power, tower diameter, tower shell thickness, and
implicit blade chord-and-twist distributions. A 32-turbine wind farm and a
60-turbine wind farm were both considered, as well as a variety of turbine
spacings and wind shear exponents. Structural constraints as well as turbine
costs were considered in the optimization. Results indicate that coupled
turbine design and layout optimization is superior to sequentially optimizing
turbine design, then turbine layout. Coupled optimization results in an
additional 2 %–5 % reduction in the cost of energy compared to
optimizing sequentially for wind farms with turbine spacings of 8.5–11 rotor
diameters. Smaller wind farms benefit even more from coupled optimization.
Furthermore, wind farms with closely spaced wind turbines can greatly benefit
from nonuniform turbine design throughout the farm. Some of these wind farms
with heterogeneous turbine design have an additional 10 % cost-of-energy
reduction compared to wind farms with identical turbines throughout the farm.</p> |
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| ISSN: | 2366-7443 2366-7451 |