Open Access

REVIEW

Perspectives of Vertical Axis Wind Turbines in Cluster Configurations

by Ryan Randall¹, Chunmei Chen^1,*, Mesfin Belayneh Ageze^2,3, Muluken Temesgen Tigabu⁴

1 College of Automation, Qingdao University, Qingdao, 266071, China
2 Center for Renewable Energy, Addis Ababa Institute of Technology, Addis Ababa University, Addis Ababa, 1000, Ethiopia
3 BTeQ R&D Labs, Addis Ababa, 1000, Ethiopia
4 Bahir Dar Energy Center, Bahir Dar Institute of Technology, Bahir Dar University, Bahir Dar, 6000, Ethiopia

* Corresponding Author: Chunmei Chen. Email:

Fluid Dynamics & Materials Processing 2024, 20(12), 2657-2691. https://doi.org/10.32604/fdmp.2024.058169

Received 06 September 2024; Accepted 19 November 2024; Issue published 23 December 2024

Abstract

Vertical Axis Wind Turbines (VAWTs) offer several advantages over horizontal axis wind turbines (HAWTs), including quieter operation, ease of maintenance, and simplified construction. Surprisingly, despite the prevailing belief that HAWTs outperform VAWTs as individual units, VAWTs demonstrate higher power density when arranged in clusters. This phenomenon arises from positive wake interactions downstream of VAWTs, potentially enhancing the overall wind farm performances. In contrast, wake interactions negatively impact HAWT farms, reducing their efficiency. This paper extensively reviews the potential of VAWT clusters to increase energy output and reduce wind energy costs. A precise terminology is introduced to clarify ambiguous terms researchers use to quantify cluster parameters. While examining commonly studied and proposed VAWT cluster configurations, several aspects are discussed such as aerodynamic interactions, wake characteristics, structural dynamics, and performance metrics. Additionally, the current state-of-the-art and research gaps are critically described. The review also covers computational modeling, optimization techniques, advanced control strategies, machine learning applications, economic considerations, and the influence of terrain and application locations.

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Keywords

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