Advanced Data Acquisition System for Wind Energy Applications
Today renewable energies, particularly wind energy are important to meet 24 hour energy demands while keeping carbon emissions low. As the cost of renewable energies are high, improving their efficiency is a key factor to reduce energy prices. High quality experimental data is essential to develop deeper understanding of the existing systems and to improve their efficiency. This paper introduces an unmanned airborne data acquisition system that can measure properties around windturbines to provide new insight into aerodynamic performance and loss mechanisms and to provide validation data for windturbine design methods. The described system is a flexible and portable platform for collecting high quality data from existing fullscale windturbine installations. This allows experiments to be conducted without scaling and with realworld boundary conditions. The system consists of two major parts: the unmanned flying platform (UAV) and the data acquisition system (DAQ). For the UAV a commercially available unit is selected, which has the ability to fly a route autonomously with sufficient precision, the ability to hover, and sufficient load capacity to carry the DAQ system. The DAQ system in contrast, is developed inhouse to achieve a high quality data collection capability and to increase flexibility.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/15873811
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Supplemental Notes:
- © 2019 Andras Nagy and Ingo Jahn.
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Authors:
- Nagy, Andras
- Jahn, Ingo
- Publication Date: 2019
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; Photos; References; Tables;
- Pagination: pp 124-130
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Serial:
- Periodica Polytechnica Transportation Engineering
- Volume: 47
- Issue Number: 2
- Publisher: Budapest University of Technology and Economics
- ISSN: 1587-3811
- Serial URL: http://www.pp.bme.hu/tr/index
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Aerial surveying; Data collection; Drones; Renewable energy sources; Wind power generation
- Geographic Terms: Australia
- Subject Areas: Aviation; Data and Information Technology; Energy; Vehicles and Equipment;
Filing Info
- Accession Number: 01735076
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 27 2020 9:04AM