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RNRG #40C Vs Class 1; comparison of operational characteristics
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Kiran Nair Mytrah Energy, India RNRG #40C VS CLASS 1; COMPARISON OF OPERATIONAL CHARACTERISTICS Abstract ID: 658 Poster code: PO.302f | Download poster: ![]() |
Presenter's biography
Biographies are supplied directly by presenters at WindEurope 2016 and are published here uneditedAs a post graduate in Meteorology (Weather Science), Kiran Nair holds a total working experience of more than nine years in core wind resource assessment & turbine technology arena. He is a certified WAsP user and a well know figure in wind resource sector. In his past ventures, he has been linked with industry giants like VESTAS and GL Garrad Hassan and also been a part of GL Garrad Hassan's global software and wind resource training team and delivered multiple training programs and academic lectures across the country. He has got an extensive experience in other global markets with varied wind climates and market conditions too. He has conducted comprehensive wind resource and energy production prediction assessments for many of projects and handled many monitoring projects involving site identification, approvals, instrumentation, data analysis, designing the layout, energy estimation, turbine suitability study and reporting. His areas of expertise also covers the areas like CFD ( Computational Fluid Dynamics), Wind Power Forecasting, Turbine technology & Power Curve Guarantee Reviews and Performance monitoring/management of existing wind farms/portfolios. Presently heading Wind Resource Department in Mytrah Energy India Ltd which is one of the fastest growing IPP in global renewable space.
Abstract
RNRG #40C Vs Class 1; comparison of operational characteristics
Introduction
Knowing the right wind characteristics are key to the evaluation of wind energy resources. Cup anemometer is the standard instrument used for wind speed measurement. It is being used extensively across the world on weather monitoring stations for wind energy assessments which includes energy estimation, power performance measurements and in the areas of research & development. Uncertainties in each aspect of measurement i.e. from detailed design of sensor, calibration and operational characteristics will add up hence the improvement of accuracy in wind speed measurements is tough row to hoe.
The RNRG #40C was one of the first anemometers designed exclusively for the wind industry and RNRG Class 1 anemometer is a ball-bearing version of RNRG #40C by keeping the same form factor and similar inclined flow performance characteristic as that of its peer.
Approach
This synopsis primarily focuses on analogizing the dynamic performance and consistency of RNRG’s Class 1 anemometers against #40C type and also an investigation on significant known factors responsible for the performance variation. Wind speed, correlation and turbulence intensities of 12 pairs of both the anemometers placed at same height (with different geographical exposures) were compared. Data comparison was carried out using different quantitative and graphical analysis schemes.
Main body of abstract
12 weather monitoring stations (lattice type) having data periods ranging from 12 to 30 months with #40C and Class I anemometers at one height and another pair of Class 1 at another height are used for this assessment. All the sensors were calibrated and new at the time of deployment and the booms were mounted on each mast with orientations designed to mitigate the effects of tower‐induced flow distortions on the measurements from the most frequent wind directions. Wind Data is used after screening the data to eliminate the effect of tower shadow.
Ratio of wind speeds (Class 1 to #40C) at same height is plotted as a function of direction using scatter plot. Typical ratio should be close to one however relatively large scatter over all directions above one was observed which is a sign of variation in performance between class 1 & #40C anemometer. Also a comparison study has been done undertaken between all the anemometers available at different heights i.e. 3 class 1’s and one #40C. Differences in the dynamic response of the class 1 anemometer and the NRG #40 are well documented which includes the comparison of wind speed, turbulence intensity and correlation coefficient of both anemometers.
Data of two monitoring stations were not included in the final results as they were not in the typical expected range.
Conclusion
Based on post‐deployment field investigation followed by analysis, it was concluded that there is a variation in performance of #40C & class 1 anemometers. For the same height, wind speed recorded by using class 1 was higher than that recorded by using #40C.It was found that on an average, the class 1 recorded wind speeds were 2% higher than that recorded by #40C with no significant difference in turbulence intensity .However the correlation was around 99%. Since RNRG Class 1 anemometer is an advanced version of RNRG #40C anemometer, the performance improvement can be expected.
More data is required to further judge the performance/characteristics of Class 1 anemometer against #40C.The investigation will be resumed once more data is available for analysis.
Learning objectives
To understand and compare the operational characteristics of RNRG’s #40C & class 1 anemometers which are the most common anemometers used worldwide for wind resource assessment activities.
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