We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Turbine layout optimisation for large‐scale offshore wind farms–A grid‐based method.
- Authors
Taylor, Peter; Yue, Hong; Campos‐Gaona, David; Anaya‐Lara, Olimpo; Jia, Chunjiang
- Abstract
This study presents a new turbine layout optimisation approach using a grid‐based problem formulation for improved design performance and computational efficiency for industrial‐scale applications. A particle swarm optimisation algorithm is employed in the wind turbine layout optimisation, in which a micro‐siting function is proposed to allow solutions 50 m of deviation while maximising energy capture without compromising maritime navigation or search and rescue operations. Solutions are assessed by a wind farm model, comprising the Larsen wake model, a multiple wake effect summation method, and a rotor‐effective wind speed calculation. A novel look‐up function is populated by on‐the‐fly algorithm and is used to reduce the number of model evaluations by approximately 95%. A gigawatt scale hypothetical site is presented to test the model on a realistically complex scenario. A set of design solutions generated by the algorithm are compared to empirical designs, with the algorithm outperforming the empirical solutions by 7.55% on average, in terms of net‐present‐value of energy capture minus the capital cost of turbines. The numerical efficiency and design effectiveness are examined and further improvements discussed.
- Subjects
WIND power plants; WIND turbine maintenance &; repair; PERFORMANCE of wind turbines; RENEWABLE energy sources; MAINTENANCE costs
- Publication
IET Renewable Power Generation (Wiley-Blackwell), 2021, Vol 15, Issue 16, p3806
- ISSN
1752-1416
- Publication type
Article
- DOI
10.1049/rpg2.12295