| Issue |
MATEC Web Conf.
Volume 112, 2017
21st Innovative Manufacturing Engineering & Energy International Conference – IManE&E 2017
|
|
|---|---|---|
| Article Number | 07020 | |
| Number of page(s) | 6 | |
| Section | Mechanical and Manufacturing Equipment, Devices and Instrumentation, Design and Analysis | |
| DOI | https://doi.org/10.1051/matecconf/201711207020 | |
| Published online | 03 July 2017 | |
Atmospheric air density analysis with Meteo-40S wind monitoring system
1 ”Gheorghe Asachi” Technical University of Iași, Department of Fluid Mechanics, Fluid Machinery and Fluid Power Systems, D. Mangeron 59A, Iași, România
2 ”Gheorghe Asachi” Technical University of Iași, Department of Mechanical Engineering, Mecatronics and Robotics, D. Mangeron 43, Iași, România
* Corresponding author: dzahariea@yahoo.com
In order to estimate the wind potential of wind turbine sites, the wind resource maps can be used for mean annual wind speed, wind speed frequency distribution and mean annual wind power density determination. The general evaluation of the wind resource and the wind turbine ratings are based on the standard air density measured at sea level and at 15°C, ρs=1.225 kg/m3. Based on the experimental data obtained for a continental climate specific location, this study will present the relative error between the standard air density and the density of the dry and the moist air. Considering a cold day, for example on Friday 10th February 2017, on 1-second measurement rate and 10-minute measuring interval starting at 16:20, the mean relative errors obtained are 10.4145% for dry air, and 10.3634% for moist air. Based on these results, a correction for temperature, atmospheric air pressure and relative humidity should be always considered for wind resource assessment, as well as for the predicting the wind turbines performance.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.