Wind MDPI

📣 Meet Us at the 35th International Conference on Adaptive Structures and Technologies (ICAST 2026), 1–3 June 2026, Hong Kong, China
As we draw closer to ICAST 2026, taking place from 1 to 3 June, MDPI warmly invites you to visit us in Hong Kong, China. We have prepared a range of engaging activities and special gifts for the event, and our team looks forward to welcoming you and sharing this experience.
📅 Date: 1–3 June 2026
📍 Location: Hong Kong, China
📎 More information:

Meet Us at the 35th International Conference on Adaptive Structures and Technologies (ICAST 2026), 1–3 June 2026, Hongkong, China MDPI will attend the ICAST 2026, which will take place in Hongkong, from 1 to 3 June 2026. Smart and adaptive...

New Paper Published!

📕 "A Support Process for Early-Stage Wind Farm Repowering Decisions Using Constrained Optimization Techniques to Address Uncertainty"
🎓 Heather Norton, Lindsay Miller and Marianne Rodgers
🔎 https://brnw.ch/21x2Aeg

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A Support Process for Early-Stage Wind Farm Repowering Decisions Using Constrained Optimization Techniques to Address Uncertainty As wind farms in North America near the end of their design life, different end-of-life options need to be considered. Common options include decommissioning, lifetime extension, and repowering. In this research, a methodology to support early-stage repowering decisions is presented. Performance dec...

New Paper Published!

📕 "Wind Effects of Surrounding Structures in an Urban Area on a High-Rise Building by Computational Fluid Dynamics"
🎓 Citlali Villalobos-García, Luis Francisco Pérez-Moreno, Iván Fermín Arjona-Catzim and Enrique Rico-García
🔎 https://brnw.ch/21x2vSL

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Wind Effects of Surrounding Structures in an Urban Area on a High-Rise Building by Computational Fluid Dynamics Wind design aims to ensure the stability, safety, and durability of a structure exposed to wind forces. This comparative study using Computational Fluid Dynamics (CFD) was conducted to evaluate the effects of surrounding structures in wind building design. Two scenarios were analyzed: the first, in ...

📣 Welcoming the First Early Career Editorial Board Members of

🎓 Wind is pleased to add the following seven researchers to our 2025 Early Career Editorial Board and congratulates them on becoming part of the Wind community!

https://brnw.ch/21x2nl0

Wind Wind, an international, peer-reviewed Open Access journal.

New Paper Published!

📕 "Building a Classification Map of Wind Turbine Characteristics Compatible with the Winds of Middle and Southern Regions in Iraq"
🎓 Firas A. Hadi, Rawnak A. Abdulwahab and Khattab Al-Khafaji
🔎 https://brnw.ch/21x2gKZ

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Building a Classification Map of Wind Turbine Characteristics Compatible with the Winds of Middle and Southern Regions in Iraq The research creates classification maps of wind turbine operational speeds based on the wind regimes of four governorates in central and southern Iraq: Wasit, Diwaniyah, Maysan, and Dhiqar. High-resolution wind data from GEOSUN resource maps, together with statistical analysis of the Weibull distri...

New Paper Published!

📕 "Wind Energy Assessment in Forest Areas Using Multi-Source Optimized WRF Model"
🎓 Yujiao Liu, Zixin Yang, Yang Zhao and Daocheng Zhou
🔎 https://brnw.ch/21x1XLV

model; data assimilation; ; ; assessment

Wind Energy Assessment in Forest Areas Using Multi-Source Optimized WRF Model Accurate wind field simulation in forest areas is crucial for wind energy development but remains challenging for traditional WRF models due to complex terrain and vegetation heterogeneity. This study proposes a multi-source optimization framework integrating seasonal PBL scheme selection, localized...

📢 Announcements

We are delighted to announce that nominations are now open for the 2026 Tu Youyou Award!

⏰ Nomination Deadline: 31 October 2026

https://brnw.ch/21x1Po6

New Paper Published!

📕 "Variational Autoencoder to Obtain High Resolution Wind Fields from Reanalysis Data"
🎓 Bernhard Rösch, Konstantin Zacharias, Luca Fabian Schlaug, Daniel Westerfeld, Stefan Geißelsöder and Alexander Buchele
🔎 https://brnw.ch/21x1Kpr

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Variational Autoencoder to Obtain High Resolution Wind Fields from Reanalysis Data Accurate wind flow prediction is essential for various applications, including the placement of wind turbines and a multitude of environmental assessments. Traditionally this can be achieved by using time-consuming computational fluid dynamics (CFD) simulations on reanalysis data. This study explore...

✒️ Call for Papers!

📘 We look forward to your submissions to our Special Issue in , "Advancing Wind Turbine Frontiers: Multidisciplinary Solutions for Energy System Integration and Renewable Growth".

🎓 Guest Editors:
Prof. Dr. Leandro Olveira Salviano
Dr. Gabriel Bertacco dos Santos

🔗 https://brnw.ch/21x1BSU

Advancing Wind Turbine Frontiers: Multidisciplinary Solutions for Energy System Integration and Renewable Growth Wind, an international, peer-reviewed Open Access journal.

📘 Editor’s Choice Article


✒️ Floater Assembly and Turbine Integration Strategy for Floating Offshore Wind Energy: Considerations and Recommendations
🎓 Glib Ivanov and Kai-Tung Ma
🔗 https://brnw.ch/21x1xUS

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Floater Assembly and Turbine Integration Strategy for Floating Offshore Wind Energy: Considerations and Recommendations The increasing demand for cost-effective floating offshore wind turbines (FOWTs) necessitates streamlined mass production and efficient assembly strategies. This research investigates the assembly and integration of 15 MW FOWT floaters, utilising a semi-submersible floater equipped with a 15 MW wind...

New Paper Published!

📕 "Review of Load Frequency Control in Wind Energy Conversion System"
🎓 Welcome Khulekani Ntuli and Musasa Kabeya
🔎 https://brnw.ch/21x1pdn

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Review of Load Frequency Control in Wind Energy Conversion System The integration of renewable energy sources (RESs) into modern power systems has introduced significant challenges in maintaining system stability and reliability. Among these challenges, load frequency control (LFC) has become a vital area of research. The variable nature of RESs, such as wind and ...