Articles | Volume 5, issue 1
Wind Energ. Sci., 5, 73–87, 2020
Wind Energ. Sci., 5, 73–87, 2020

Research article 13 Jan 2020

Research article | 13 Jan 2020

Digitalization of scanning lidar measurement campaign planning

Nikola Vasiljević et al.

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Cited articles

Al-Sharif, L.: Intermediate Elevator Kinematics and Preferred Numbers (METE III), Lift Report, 40, 20–31, available at: (last access: 9 January 2020), 2014. a
Bingöl, F., Mann, J., and Foussekis, D.: Conically scanning lidar error in complex terrain, Meteorol. Z., 18, 189–195, 2009. a
Biniaz, A., Liu, P., Maheshwari, A., and Smid, M.: Approximation Algorithms for the Unit Disk Cover Problem in 2D and 3D, Comput. Geom. Theory Appl., 60, 8–18,, 2017. a
Carta, J. A., Velázquez, S., and Cabrera, P.: A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site, Renewable and Sustainable Energy Reviews, 27, 362–400,, 2013. a
Clerc, A., Anderson, M., Stuart, P., and Habenicht, G.: A systematic method for quantifying wind flow modelling uncertainty in wind resource assessment, J. Wind Eng. Ind. Aerod., 111, 84–94,, 2012. a
Short summary
A WindScanner system consisting of two synchronized scanning lidars potentially represents a cost-effective solution for multipoint measurements. However, the lidar limitations and the site limitations are detrimental to the installation of lidars and number and location of measurement positions. To simplify the process of finding suitable measurement positions and lidar installation locations, a campaign planning workflow was devised. The paper describes the workflow and how it was digitalized.