A review of methodological approaches for the design and optimization of wind farms

JF Herbert-Acero, O Probst, PE Réthoré, GC Larsen… - Energies, 2014 - mdpi.com
This article presents a review of the state of the art of the Wind Farm Design and
Optimization (WFDO) problem. The WFDO problem refers to a set of advanced planning …

Variable neighborhood search for large offshore wind farm layout optimization

D Cazzaro, D Pisinger - Computers & Operations Research, 2022 - Elsevier
The task of the offshore Wind Farm Layout Optimization Problem (WFLOP) is to place n wind
turbines at a subset of k available positions to maximize power production and minimize …

Artificial Neural Networks based wake model for power prediction of wind farm

Z Ti, XW Deng, M Zhang - Renewable energy, 2021 - Elsevier
In the wind industry, power prediction of wind farm is commonly implemented by analytical
wake models, which is low-cost but insufficient in accuracy for high-turbulent wake …

Wind farm layout optimization to minimize the wake induced turbulence effect on wind turbines

L Cao, M Ge, X Gao, B Du, B Li, Z Huang, Y Liu - Applied Energy, 2022 - Elsevier
High turbulence intensity induced by the wake effect in wind farms is of great significance to
the fatigue life of wind turbines. However, previous wind farm layout optimization (WFLO) …

Toward efficient optimization of wind farm layouts: Utilizing exact gradient information

D Guirguis, DA Romero, CH Amon - Applied energy, 2016 - Elsevier
Abstract The Wind Farm Layout Optimization (WFLO) problem has attracted a lot of attention
from researchers and industry practitioners, as it has been proven that better placement of …

Toward a digital twin: time series prediction based on a hybrid ensemble empirical mode decomposition and BO-LSTM neural networks

W Hu, Y He, Z Liu, J Tan… - Journal of …, 2021 - asmedigitalcollection.asme.org
Precise time series prediction serves as an important role in constructing a digital twin (DT).
The various internal and external interferences result in highly nonlinear and stochastic time …

Multi-objective evolutionary algorithms and hyper-heuristics for wind farm layout optimisation

W Li, E Özcan, R John - Renewable Energy, 2017 - Elsevier
Wind farm layout optimisation is a challenging real-world problem which requires the
discovery of trade-off solutions considering a variety of conflicting criteria, such as …

Multi-objective turbine allocation on a wind farm site

AE Dinçer, A Demir, K Yılmaz - Applied Energy, 2024 - Elsevier
Abstract The Multi-Objective Turbine Allocation (MOTA) method is introduced as a novel
approach for wind farm layout optimization and site selection. By incorporating Geographic …

Multi-objective constrained optimization for energy applications via tree ensembles

A Thebelt, C Tsay, RM Lee, N Sudermann-Merx… - Applied Energy, 2022 - Elsevier
Energy systems optimization problems are complex due to strongly non-linear system
behavior and multiple competing objectives, eg economic gain vs. environmental impact …

Optimal design of wind farms in complex terrains using computational fluid dynamics and adjoint methods

EGA Antonini, DA Romero, CH Amon - Applied Energy, 2020 - Elsevier
Optimal design of wind farms in complex terrains has never been fully addressed because of
the complex flow phenomena generated by the turbine wakes, the terrain itself, and their …