A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies

A Thelen, X Zhang, O Fink, Y Lu, S Ghosh… - Structural and …, 2022 - Springer
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …

A comprehensive review of artificial intelligence and wind energy

FP Garcia Marquez, A Peinado Gonzalo - Archives of Computational …, 2022 - Springer
Support of artificial intelligence, renewable energy and sustainability is currently increasing
through the main policies of developed countries, eg, the White Paper of the European …

Integration and economic viability of fueling the future with green hydrogen: An integration of its determinants from renewable economics

H **ang, P Ch, MA Nawaz, S Chupradit… - International Journal of …, 2021 - Elsevier
The volatility of fossil fuel and their increased consumption have exacerbated the socio-
economic dilemma along with electricity expenses in third world countries around the world …

Assessment of wind energy potential for the production of renewable hydrogen in Sindh Province of Pakistan

W Iqbal, H Yumei, Q Abbas, M Hafeez, M Mohsin… - Processes, 2019 - mdpi.com
In this study, we developed a new hybrid mathematical model that combines wind-speed
range with the log law to derive the wind energy potential for wind-generated hydrogen …

Condition monitoring of wind turbine generators using SCADA data analysis

X **, Z Xu, W Qiao - IEEE Transactions on Sustainable Energy, 2020 - ieeexplore.ieee.org
Utility-scale wind turbines are equipped with a supervisory control and data acquisition
(SCADA) system for remote supervision and control. The SCADA system accumulates a …

Machine learning and data-driven fault detection for ship systems operations

M Cheliotis, I Lazakis, G Theotokatos - Ocean Engineering, 2020 - Elsevier
Well maintained vessels exhibit high reliability, safety and energy efficiency. Even though
machinery failures are inevitable, their occurrence can be foreseen when predictive …

Using SCADA data for wind turbine condition monitoring: A systematic literature review

J Maldonado-Correa, S Martín-Martínez, E Artigao… - Energies, 2020 - mdpi.com
Operation and maintenance (O&M) activities represent a significant share of the total
expenditure of a wind farm. Of these expenses, costs associated with unexpected failures …

A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines

Y Wu, X Ma - Renewable Energy, 2022 - Elsevier
With the increasing installation of the wind turbines both onshore and offshore, condition
monitoring technologies and systems have become increasingly important in order to …

Evaluating an economic application of renewable generated hydrogen: A way forward for green economic performance and policy measures

B Wu, B Zhai, H Mu, X Peng, C Wang… - … Science and Pollution …, 2021 - Springer
Energy security and environmental measurements are incomplete without renewable
energy; therefore, there is a dire need to explore new energy sources. Hence, this study …

A data-mining approach for wind turbine fault detection based on SCADA data analysis using artificial neural networks

A Santolamazza, D Dadi, V Introna - Energies, 2021 - mdpi.com
Wind energy has shown significant growth in terms of installed power in the last decade.
However, one of the most critical problems for a wind farm is represented by Operation and …