Base de datos NoSQL para el soporte de gemelosdigitales de granjas de aerogeneradores

  1. Fernando Germán Herrera Herrero 1
  2. Segundo Esteban San Román
  3. Matilde Santos Peñas
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

Book:
WWME 2023 V. Jardunaldia - Itsas energiako sistemen aurrerapen berriei buruzko irakaskuntza-oharrak
  1. Aitor J. Garrido Hernández (ed. lit.)
  2. Matilde Santos Peñas (ed. lit.)
  3. Izaskun Garrido Hernandez (ed. lit.)

Publisher: Servicio Editorial = Argitalpen Zerbitzua ; Universidad del País Vasco = Euskal Herriko Unibertsitatea

ISBN: 978-84-09-58971-5

Year of publication: 2024

Pages: 69-73

Congress: Jornada Internacional de Energía Eólica y Marina (5. 2023. null)

Type: Conference paper

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 data base able to represent and manage the digital twins of wind turbines farms. This paper explains a 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.