Wind turbine noise prediction using random forest regression

G Iannace, G Ciaburro, A Trematerra - Machines, 2019 - mdpi.com
Wind energy is one of the most widely used renewable energy sources in the world and has
grown rapidly in recent years. However, the wind towers generate a noise that is perceived …

Modelling of flow-induced vibration of bluff bodies: A comprehensive survey and future prospects

Y Wu, Z Cheng, R McConkey, FS Lien, E Yee - Energies, 2022 - mdpi.com
A comprehensive review of modelling techniques for the flow-induced vibration (FIV) of bluff
bodies is presented. This phenomenology involves bidirectional fluid–structure interaction …

Intelligence techniques in sustainable energy: analysis of a decade of advances

JD Velasquez, L Cadavid, CJ Franco - Energies, 2023 - mdpi.com
In the last decade, many artificial intelligence (AI) techniques have been used to solve
various problems in sustainable energy (SE). Consequently, an increasing volume of …

[HTML][HTML] Research challenges and needs for the deployment of wind energy in hilly and mountainous regions

A Clifton, S Barber, A Stökl, H Frank… - Wind Energy …, 2022 - wes.copernicus.org
The continuing transition to renewable energy will require more wind turbines to be installed
and operated on land and offshore. On land, wind turbines will increasingly be deployed in …

Review and perspectives of machine learning methods for wind turbine fault diagnosis

M Tang, Q Zhao, H Wu, Z Wang, C Meng… - Frontiers in Energy …, 2021 - frontiersin.org
Wind turbines (WTs) generally comprise several complex and interconnected systems, such
as hub, converter, gearbox, generator, yaw system, pitch system, hydraulic system control …

Investigation of in-pipe drag-based turbine for distributed hydropower harvesting: Modeling and optimization

N Hasanzadeh, SA Payambarpour, AF Najafi… - Journal of Cleaner …, 2021 - Elsevier
Hydropower systems can provide a considerable proportion of sustainable and clean
energy. In the present study, the performance of a drag-based vertical axis in-pipe turbine is …

[HTML][HTML] Numerical evaluation of multivariate power curves for wind turbines in wakes using nacelle lidars

A Sebastiani, A Peña, N Troldborg - Renewable Energy, 2023 - Elsevier
The IEC standards describe how to measure the power performance of an isolated wake-
free wind turbine. However, most wind turbines operate under waked conditions for a …

A new formulation for rotor equivalent wind speed for wind resource assessment and wind power forecasting

A Choukulkar, Y Pichugina, CTM Clack… - Wind …, 2016 - Wiley Online Library
The spurt of growth in the wind energy industry has led to the development of many new
technologies to study this energy resource and improve the efficiency of wind turbines. One …

Machine Learning in Computer Aided Engineering

FJ Montáns, E Cueto, KJ Bathe - Machine Learning in Modeling and …, 2023 - Springer
The extraordinary success of Machine Learning (ML) in many complex heuristic fields has
promoted its introduction in more analytical engineering fields, improving or substituting …

Machine learning approaches for thermal updraft prediction in wind solar tower systems

MA Rushdi, S Yoshida, K Watanabe, Y Ohya - Renewable Energy, 2021 - Elsevier
Wind solar towers constitute a fairly new scheme for harvesting renewable energy from solar
and wind energy sources. In such a tower, solar radiation is collected and hot air is enforced …