An Ontology for Describing Wind Lidar Concepts

Author:

Costa Francisco1ORCID,Giyanani Ashim2ORCID,Liu Dexing1,Keane Aidan3ORCID,Ratti Carlo Alberto4,Clifton Andrew5ORCID

Affiliation:

1. Institute of Aircraft Design, University of Stuttgart, Allmandring 5b, 70569 Stuttgart, Germany

2. Fraunhofer IWES, 27572 Bremerhaven, Germany

3. Wood Renewables, Floor 2 St Vincent Plaza, 319 St Vincent Street, Glasgow G2 5LP, UK

4. Enlight Renewable Energy, Ha’amal St., Afek Industrial Park 13, Rosh Ha’ayin 4809249, Israel

5. TGU Enerlace, TTI GmbH, Nobelstrasse 15, 70569 Stuttgart, Germany

Abstract

This article reports on an open-source ontology that has been developed to establish an industry-wide consensus on wind lidar concepts and terminology. The article provides an introduction to wind lidar ontology, provides an overview of its development, and provides a summary of its aims and achievements. The ontology serves both reference and educational purposes for wind energy applications and lidar technology. The article provides an overview of the creation process, the outcomes of the project, and the proposed uses of the ontology. The ontology is available online and provides standardisation of terminology within the lidar knowledge domain. The open-source framework provides the basis for information sharing and integration within remote sensing science and fields of application.

Publisher

MDPI AG

Reference42 articles.

1. Peña, A., and Hasager, C. (2010). Remote Sensing for Wind Energy, Risø National Laboratory for Sustainable Energy, Technical University of Denmark. Number 3068(EN) in Risø-I.

2. Liu, Z., Barlow, J.F., Chan, P.W., Fung, J.C.H., Li, Y., Ren, C., Mak, H.W.L., and Ng, E. (2019). A Review of Progress and Applications of Pulsed Doppler Wind LiDARs. Remote. Sens., 11.

3. Stoevesandt, B., Schepers, G., Fuglsang, P., and Yuping, S. (2020). Handbook of Wind Energy Aerodynamics, Springer International Publishing.

4. Doppler Wind Lidar From UV to NIR: A Review With Case Study Examples;Shangguan;Front. Remote Sens.,2022

5. (2022). Wind Power Generation Systems—Part 12-1: Power Performance Measurement of Electricity Producing Wind Turbines (Standard No. IEC 61400-12-1:2022).

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