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Digital twin for forecasting of power production to wind energy demand

European Comission

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Summary
04 May 2023
05 September 2023
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Research, Development and Innovation Natural Sciences
Overview

ExpectedOutcome :

Project results are expected to contribute to all of the following expected outcomes:

  • Accurate and precise energy yield prediction to ease investment decisions based on accurate simulations that take into account simultaneously predictions on Renewable Energy Production, Energy Consumption and Price Predictions.
  • Enhanced digital transformation of wind energy sector by delivering the next generation of digital twins. Scope :

The expected growth of both on-and offshore wind energy is enormous and many new wind parks are planned for the coming years. Experience from the existing wind farms shows the importance of a proper micrositing of the wind turbines as well their efficient interconnection within the farm. In addition, bringing wind farms together into clusters toward a wind power plant concept might induce long distance negative interaction between the farms, reducing their expected efficiency. This might happen both on- and offshore. The high amount of connected wind power and the expected increase during the coming years, requires that this technology has to be prepared to take a more important role as of its contribution to the reliability and security of the electricity system. The objective of this topic is to develop new digital twins to optimise the exploitation of individual wind farms (onshore, bottom-fixed offshore and floating offshore) as well as wind farm clusters, in view of transforming them into virtual power plants delivering a more reliable and secure electricity system. Such a digital twin is expected to integrate [at least three of the following bullet points]:

  1. Wind and weather forecast models relevant for the full wind power production system (turbines, grid, transmission) (including the effects of external physical conditions such as temperatures, rain, turbulences, waves, and currents).
  2. Spatial modelling: medium (within wind farms) to long distance (between/along wind farm clusters) wake effects.
  3. Interconnection optimisation via simulations to satisfy grid connection requirements and agility in grid reconfiguration and provide ancillary services.
  4. Include predictive maintenance, structural health and conditional monitoring, and
  5. End user location and needs.

The digital twin will improve accurate energy yield prediction and will balance supply and demand side needs and will help to ease investment decisions based on accurate simulations. The models should incorporate other relevant parameters influencing the siting of wind farms, such as ground conditions, noise impacts and environmental impacts as well as representing the complex system in a map view format while considering time series data of each and every asset. Infrastructure modelling of each and every asset should be executed via independent profiling based on past performance data and contextual data in view to deliver prediction at the level of each and every asset with as much accuracy as possible”.

The project should focus on offshore or on onshore wind power systems and make optimal use of previously developed models. Validation should be carried out with data of existing wind farms. Cooperation with wind energy suppliers, OEM’s, developers and O&M services can make the available data more accurate, resulting in better, more sustainable and eventually circular products and sector. The project should also sufficiently invest in delivering a cyber-secure system. The projects is expected to build also on the digital twins developed under Destination Earth, which envisage to develop a high precision digital model of the Earth to model, monitor and simulate natural phenomena and related human activities.

For the offshore digital twin projects the impact of other blue economy sectors, islands, different land-sea interactions for near shore wind farms should be considered.

For onshore digital twin projects, the build environment and different landscapes should be considered, and cooperation is envisaged with the selected projects under topic HORIZON-CL5-2021-D3-03-05 Wind energy in the natural and social environment.

It is expected that one project on offshore digital twin will be funded and one on onshore digital twin.

To support rapid market uptake, widespread application and further innovation based on the developed solutions, projects are invited to use Open-Source solutions when appropriate and clarify in case they choose not to use Open Source, so that they can support the planning of future large scale offshore wind installations. Free licensing is also a possibility to consider to support rapid market uptake.

Selected projects will be required to share knowledge. Projects will acquire performance-related data in a standard format to support advancement and validation of R&I for the benefit of all projects through Artificial Intelligence methods. This data and relevant meta-data may be shared with other projects (not supported through Horizon Europe, including relevant projects supported through the Innovation Fund) on reciprocal terms, preferably leveraging on the tools and services provided by the European Open Science Cloud (EOSC) and exploring workflows that can provide “FAIR-by-design” data, i.e., data that is FAIR from its generation, and with EU-based researchers having a legitimate interest. The selected projects are expected to cooperate with the project selected under the call [CSA for data-sharing between renewable energy R&I project to advance innovation and competitiveness].

The selected projects are expected to contribute to the BRIDGE initiative[1], actively participate to its activities and allocate up to 2% of their budgets to that end. Additional contributions to the ‘Alliance for Internet of Things Innovation’ (AIOTI) and other relevant activities (e.g. clusters of digital projects and coordinating actions) might be considered, when relevant.

Specific Topic Conditions :

Activities are expected to achieve TRL 5 by the end of the project – see General Annex B.

[1]https://www.h2020-bridge.eu/

Eligibility

General conditions

  1. Admissibility conditions: described in Annex A and Annex E of the Horizon Europe Work Programme General Annexes

Proposal page limits and layout: described in Part B of the Application Form available in the Submission System

  1. Eligible countries: described in Annex B of the Work Programme General Annexes

A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide .

  1. Other eligibility conditions: described in Annex B of the Work Programme General Annexes

If projects use satellite-based earth observation, positioning, navigation and/or related timing data and services, beneficiaries must make use of Copernicus and/or Galileo/EGNOS (other data and services may additionally be used).

  1. Financial and operational capacity and exclusion: described in Annex C of the Work Programme General Annexes

  2. Evaluation and award:

  • Award criteria, scoring and thresholds are described in Annex D of the Work Programme General Annexes

  • Submission and evaluation processes are described in Annex F of the Work Programme General Annexes and the Online Manual

  • Indicative timeline for evaluation and grant agreement: described in Annex F of the Work Programme General Annexes

  1. Legal and financial set-up of the grants: described in Annex G of the Work Programme General Annexes

Eligible costs will take the form of a lump sum as defined in the Decision of 7 July 2021 authorising the use of lump sum contributions under the Horizon Europe Programme – the Framework Programme for Research and Innovation (2021-2027) – and in actions under the Research and Training Programme of the European Atomic Energy Community (2021-2025). [[This decision is available on the Funding and Tenders Portal, in the reference documents section for Horizon Europe, under ‘Simplified costs decisions’ or through this link: https://ec.europa.eu/info/funding-tenders/opportunities/docs/2021-2027/horizon/guidance/ls-decision_he_en.pdf]].

Specific conditions

  1. Specific conditions: described in the [specific topic of the Work Programme]

Documents

Call documents:

Standard application form — call-specific application form is available in the Submission System

Standard application form (HE RIA, IA)

Template excel for the detailed budget costs breakdown (Lump Sum)

Presentation - Lump Sum Funding: What do I need to know?

Decision authorising Lump Sum under Horizon Europe

Standard evaluation form — will be used with the necessary adaptations

Standard evaluation form (HE RIA, IA)

MGA

Lump Sum MGA v1.0

Additional documents:

HE Main Work Programme 2023–2024 – 1. General Introduction

HE Main Work Programme 2023–2024 – 8. Climate, Energy and Mobility

HE Main Work Programme 2023–2024 – 13. General Annexes

HE Programme Guide

HE Framework Programme and Rules for Participation Regulation 2021/695

HE Specific Programme Decision 2021/764

EU Financial Regulation

Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity Assessment

EU Grants AGA — Annotated Model Grant Agreement

Funding & Tenders Portal Online Manual

Funding & Tenders Portal Terms and Conditions

Funding & Tenders Portal Privacy Statement

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05 September 2023