Descripción del proyecto
Tecnología de código abierto para controlar los parques eólicos marinos
Aprovechar el poder de la energía eólica es crucial para lograr la neutralidad climática y la seguridad energética. A medida que aumentan las energías renovables, la necesidad de una tecnología de control precisa para optimizar el valor de cada electrón generado se ha vuelto primordial. En este sentido, el equipo del proyecto SUDOCO, financiado con fondos europeos, remodelará el futuro de los parques eólicos marinos. Mientras que la tecnología tradicional se centra en maximizar el rendimiento energético, el equipo de SUDOCO pone sus miras en la optimización del coste de la energía valorada (CEV). Este planteamiento tiene en cuenta la seguridad energética, el almacenamiento, la fluctuación de los precios de la electricidad, así como el desgaste y la vida útil de las turbinas. En concreto, utilizará algoritmos de control dinámico, modelos basados en datos y leyes de control innovadoras para reducir el CEV en un 10 %, garantizando un funcionamiento eficiente y respetuoso con el medio ambiente de los parques eólicos marinos.
Objetivo
Wind energy is crucial for realizing climate neutrality, energy independence, and energy security. With the increased penetration of renewables in the electricity grid, there is a strong need for control technology to determine the number of electrons to produce and their destination (e.g. grid, storage, hydrogen) for maximum value to the energy system. Whereas the technology available on the market exclusively maximizes the energy yield, the future lies with optimization for cost of valued energy (COVE), which considers energy security, storage, fluctuating electricity prices, turbine component wear, and turbine lifetime. Therefore, SUDOCO will develop open-source technology for resilient, and data-enabled offshore wind farm control and co-design. We will use key aspects and insights in wind farm operation to develop the Control Room of the Future that will allow operators to control wind farm output and loads by minimizing the COVE. SUDOCO will combine novel dynamic control algorithms, hybrid physics-based and data-driven models for the design of physical farms considering their governing control laws, which are safeguarded against adversarial threats and third-party fraud. Our data driven integrated control tool chain will be trained, validated and optimized using several high-fidelity datasets. These include data from full-scale dedicated wake steering control experiments performed at the 69 11-MW turbines in the Hollandse Kust Noord wind farm. We will also perform unprecedented wind farm control experiments with scaled wind turbine models in the largest boundary layer wind tunnel in Europe.
SUDOCO will target a COVE reduction of 10%, and includes means to minimize environmental impact as well as address the variability of the wind resource. SUDOCO will deliver the first intelligent integrated wind farm control and design solution for reliable, safe, and cost- effective operation of large bottom-fixed and floating offshore wind farms.
Ámbito científico
Programa(s)
Régimen de financiación
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinador
2628 CN Delft
Países Bajos