No Structured Query Language database for digital twin support of wind turbine farms

F. Herrera(1), S. Esteban(2), M. Santos(3) 1. Dept. Arquitectura de Computadores y Automática Computer Science Faculty Universidad Complutense de Madrid. 28040-Madrid, España 2. Dept. Arquitectura de Computadores y Automática Faculty of Physics Universidad Complutense de Madrid. 28040-Madrid, España 3. Institute of Knowledge Technology Computer Science Faculty. Universidad Complutense de Madrid. 28040-Madrid, España 2025-07-25

Abstract

Offshore wind turbines are emerging as a key technology to provide energy through a still not fully exploited natural resource such as the ocean winds. However, offshore wind turbines present more challenges than their onshore counterpart due to their location in a more unstable environment. A technology that helps to improve the control and monitoring of these turbines is a digital twin. The aim of this work is to design a database able to represent and manage the digital twins of wind turbines farms. This paper explains a No Structured Query Language, from now on referred as NoSQL, approach that can handle efficiently all the data needed to have an accurate digital representation of a wind turbine farm, storing documents for the wind farms, the turbines, the signals sent by the turbines, and the control and error detection functions. This is essential to setting a good base to develop a full digital twin control on their physical counterparts.

Key words: Offshore wind turbine, Digital twin, Control, Monitoring, No Structured Query Language NoSQL.

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https://doi.org/10.1007/978-3-031-10047-5_23