A review of methodological approaches for the design and optimization of wind farms
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 …
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 …
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
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 …
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) …
the fatigue life of wind turbines. However, previous wind farm layout optimization (WFLO) …
Toward efficient optimization of wind farm layouts: Utilizing exact gradient information
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 …
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 …
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
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 …
discovery of trade-off solutions considering a variety of conflicting criteria, such as …
Multi-objective turbine allocation on a wind farm site
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 …
approach for wind farm layout optimization and site selection. By incorporating Geographic …
Multi-objective constrained optimization for energy applications via tree ensembles
Energy systems optimization problems are complex due to strongly non-linear system
behavior and multiple competing objectives, eg economic gain vs. environmental impact …
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
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 …
the complex flow phenomena generated by the turbine wakes, the terrain itself, and their …