Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability-Reference-Cited by-同舟云学术

Optimizing wind farms layouts for maximum energy production using probabilistic inference: Benchmarking reveals superior computational efficiency and scalability

Published:2021-05 Issue: Volume:223 Page:120035
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Dhoot Aditya,Antonini Enrico G.A.^ORCID,Romero David A.,Amon Cristina H.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference80 articles.

1. Wind turbine wake aerodynamics;Vermeer;Prog Aero Sci,2003

2. A note on wind generator interaction;Jensen,1983

3. A simple wake calculation procedure;Larsen,1988

4. Analytical modelling of wind speed deficit in large offshore wind farms;Frandsen;Wind Energy,2006

5. P. Beaucage, N. Robinson, M. Brower and C. Alonge, "Overview of six commercial and research wake models for large offshore wind farms," in Proceedings of the European wind energy associate (EWEA).

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Accelerated Algorithm for Estimating Wake Interactions Between Wind Turbines with FLORIDyn;2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2);2023-12-15

2. A low-complexity evolutionary algorithm for wind farm layout optimization;Energy Reports;2023-12

3. Wind farm layout optimization under uncertainty;TOP;2023-11-23

4. Wind farm power production and fatigue load optimization based on dynamic partitioning and wake redirection of wind turbines;Applied Energy;2023-06

5. Micro-Siting of Wind Turbines in an Optimal Wind Farm Area Using Teaching–Learning-Based Optimization Technique;Sustainability;2022-07-19