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meteodyn.com
article
https://meteodyn.com/sectors/onshore-and-offshore-wind-power/meteodyn-univers…
Home » Sectors » Onshore and Offshore Wind » Meteodyn Universe – Wind farm development software suite » Meteodyn WPA. Meteodyn WPA is a wind farm performance analysis software. The software automatically analyzes SCADA data from wind turbines and then presents the data as graphs or combined indicators. Data from wind farms and wind turbines can be analyzed in-depth and in a more understandable way. ## The wind farm performance processing and analysis software. The software automatically detects and classifies the operating status of wind turbines into different categories without the use of turbine status indicators. This feature allows to evaluate the actual power curve of the turbines at the site and to compare it to the manufacturer’s power curve. ### Comparison of wind turbine and wind farm production. Comparison of actual and potential production of wind turbines and wind farms with a monthly and cumulative view for the entire wind farm or for each turbine.
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nlr.gov
official
https://www.nlr.gov/wind/data-tools
# Wind Data and Tools. The wind energy researchers, scientists, and analysts working within NLR's National Wind Technology Center and wind energy program maintain open-source data sets and develop multifidelity predictive modeling and simulation capabilities to benefit the wind energy industry. Created using Nalu-Wind simulation code, this visualization of two NLR 5-MW wind turbines demonstrates a turbine wake interaction flow field, which can improve understanding of wind plant performance. The tools formerly hosted on the National Wind Technology Center's archived information portal, an open-source library for wind and water power research, are now included on this page. The software and data are primarily for the benefit of the U.S. government and organizations that collaborate with the U.S. Department of Energy. Others are welcome to use the software and data, but please note that they are meant for professionals with expertise in wind or water power technologies and are subject to a data use disclaimer agreement. The NLR Annual Technology Baseline provides a consistent set of technology cost and performance data for energy analysis.
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epri.com
research
https://www.epri.com/research/products/000000003002011955
Whether through improving the performance of wind turbines, reducing downtime and service and maintenance costs, or extending the life of the assets, there is an increasing trend of leveraging advanced analytics to reduce the Levelized Cost of Energy (LCoE). This comprehensive review of Wind Turbine Performance Analytics Techniques covers the evolution of performance paradigms, a tutorial on current techniques using wind speed measurements and alternative metrics, and an explanation of typical causes of turbine underperformance and possible rectification. This report includes details on how to detect turbine underperformance considering power, rotor speed, and pitch signals and pattern of production. Opportunities and challenges of these advanced methodologies are also included in this report. If you are a non-funding individual or entity and wish to purchase this document, please contact the EPRI Order Center at 1-800-313-3774 Option 2 or 650-855-2121. You may also configure your pop-up blocker to allow EPRI.com to open new windows.
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frontiersin.org
research
https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2…
# Data-Driven wind turbine performance assessment and quantification using SCADA data and field measurements. Quantifying a wind turbine’s holistic, system-level power production efficiency in its commercial operating condition is one of the keys to reducing the levelized cost for energy of wind energy and thus contributing significantly to the Sustainable Development Goal 7.2: “By 2030, increase substantially the share of renewable energy in the global energy mix.” It is so important because designers and operators need an effective baseline quantification in order to be able to identify best practices or make operation and maintenance decisions that produce actual improvements. This article provides a concise overview of the existing schools of thought in terms of wind turbine performance assessment and highlights a few important technical considerations for future research pursuit. One fundamental issue for any performance improvement is the need for an accurate performance assessment method that quantifies uncertainty and can work with a sufficient degree of robustness in the actual operating environments of commercial-sized wind turbines.
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dewetron.com
article
https://www.dewetron.com/solutions/renewable-energy/wind-energy-testing
DEWETRON offers precise measurement systems for wind energy testing like wind turbine testing, vibration monitoring, performance analysis.
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youtube.com
video
https://www.youtube.com/watch?v=HUW1__Uj4Ro
The Sift platform improves renewable energy generation through rich renewable energy analytics and automation, empowering experts to look
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mdpi.com
article
https://www.mdpi.com/1996-1073/16/3/1081
A Review of Recent Aerodynamic Power Extraction Challenges in Coordinated Pitch, Yaw, and Torque Control of Large-Scale Wind Turbine Systems. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal. The concept of a space–time comparison at the wind farm level is leveraged by analyzing the operation curves of the wind turbines and by comparing the simulated average wind field against the measured one, where each wind turbine is treated like a virtual meteorological mast. This means that in case the wind turbine is situated in a harsh environment [5] or is operating incorrectly (for example, if it is subjected to systematic yaw error [6,7]), the interaction between the wind field and the wind turbine rotor is different with respect to standard conditions and typically unpredictable. The rationale for this analysis is that a possible anemometer bias at a wind turbine could be individuated in the form of a mismatch between the simulated wind field and the wind field measured by the nacelle anemometer of the wind turbine of interest.
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qblade.org
article
https://qblade.org
## Wind Turbine Simulation Software. ## The QBlade Software. QBlade is an advanced multi-physics wind turbine simulation software for comprehensive aero-servo-hydro-elastic design, prototyping, wind farm analysis, and certification of wind turbines. Developed and validated over 15 years, QBlade empowers wind energy researchers, engineers, students, and industry users to create and analyze turbine models with confidence. This image shows different wind turbine designs that were created in the QBlade software. ## Results You Can Rely On. Ensuring the reliability of simulation results is of utmost importance when conducting wind turbine design, optimization or certification tasks. Checkout the**Quick Start Guide,** get QBlade-CE for free from our **Downloads** page (Community Edition for non-commercial use) or **Contact** us to request a trial of QBlade-EE (Enterprise Edition for commercial projects). this image shows the wind turbine design module in QBlade. this image shows the view of wind turbine simulation results in QBlade. this image shows the wind turbine simulation module in QBlade. this image shows a vertical axis wind turbine simulation that is running in QBlade.