Prediction of Wind Loadings on Offshore Wind Turbines Using CFD
Abstract
(ISSN 2690-1692)
Journal of Energy and Power Technology (JEPT) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is dedicated to providing a unique, peer-reviewed, multi-disciplinary platform for researchers, scientists and engineers in academia, research institutions, government agencies and industry. The journal is also of interest to technology developers, planners, policy makers and technical, economic and policy advisers to present their research results and findings.
Journal of Energy and Power Technology focuses on all aspects of energy and power. It publishes not only original research and review articles, but also various other types of articles from experts in these fields, such as Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, and more, to promote intuitive understanding of the state-of-the-art and technology trends.
Main research areas include (but are not limited to):
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Smart energy system
Power generation - Conventional and renewable
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Publication Speed (median values for papers published in 2023): Submission to First Decision: 5.1 weeks; Submission to Acceptance: 11.6 weeks; Acceptance to Publication: 7 days (1-2 days of FREE language polishing included)
Special Issue
Computational Fluid Dynamics and Machine Learning Methods for Offshore Renewable Energy
Submission Deadline: June 30, 2023 (Open) Submit Now
Guest Editors
Nagi Abdussamie, PhD, Lecturer in Ocean Engineering
Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia
Research interests: Computational Fluid Dynamics, flow in porous media, wave-induced loads on offshore platforms, offshore renewable energy structures (wind and wave), and risk and safety assessment of marine and mechanical systems.
Faisal AlThobiani, PhD, Associate Professsor
Faculty of Maritime Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Research interests: Data Analysis; Condition Monitoring of machine; Fault Diagnosis.
About This Topic
This Special Issue invites papers on recent developments and research efforts dealing with the design and operation of Offshore Renewable Energy (ORE) systems such as WECs, OWTs, etc. Recent advances in numerical approaches, data-driven modelling, and software packages for ORE systems are the key elements of this Special Issue.
You are invited to submit your recent work on the following topics:
1. Wave Energy Converters
2. Offshore Wind Turbines
3. Tidal Energy
4. Floating Solar Power Plants
5. Recent Advances in Power Take-Off System Modelling
6. Advanced Numerical Methods for Fluid Dynamics (CFD, SPH, and LBM, etc.)
7. Recent Fluid-Structure Interaction Problems and Solutions
8. Development in Artificial Neural Network
9. Development in Adaptive-Neuro Fuzzy Inference System
10. Machine Learning & Deep Learning
11. Development in Multiple Linear Regression Analysis
12. Digital Twin Technology
13. Structural Health Monitoring Technology
14. Data-Driven Modelling for ORE
15. Numerical Data, Big Data, Standardization, and Integration
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (jept@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
Welcome your submission!
Publication
Prediction of Wind Loadings on Offshore Wind Turbines Using CFDAbstract Analysing the structural response of offshore wind turbines (OWTs) requires a robust method to estimate environmental loadings associated with extreme weather conditions. This study aimed to accurately predict wind loadings on a non-rotating OWT using a Computational Fluid Dynamics (CFD) code, Ansys Fluent package. The inlet velocity boundar [...] |
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