MS#10.5 Exploiting the potential of digitalisation in wind energy
S. BARBER¹, S. SHENG², Y. MARYKOVSKIY¹, C. PLUMLEY³
¹ Eastern Switzerland University of Applied Sciences|² National Renewable Energy Laboratory, USA|³ Nuveen Infrastructure | Clean Energy, UK
Emerging technologies and special sessions
Digitalisation is widely recognised as a key area to improving innovation and reducing the costs of wind energy. There are many emerging research topics relevant to digitalisation, which are relevant for all the lifecycle phases of wind energy, including data management, knowledge engineering, organisational culture, data sharing and skills.
This Mini-Symposium aims to discuss the latest research and innovation in the area of wind energy digitalisation, and is organised by IEA Wind Task 43 (Digitalisation). The mission of IEA Wind Task 43 is to act as a digital transformation catalyst by driving open collaboration within and beyond the wind community to deliver insights, recommendations, standards and tools in the key areas of data, culture, and coopetition.
We expect 2-3 sessions split into the following topic areas:
Session 1: Data management and knowledge engineering
In this session, we expect presentations on topics related to data management and knowledge engineering, including but not limited to: FAIR data, data standards, metadata, data modelling, databases, schema, ontologies and semantic artefacts, semantic web, digital twin architectures and frameworks, common vocabularies, knowledge-based systems, knowledge bases, knowledge graphs, decision support systems, AI-based systems and LLMs. Abstracts focused on simulation techniques, data analysis and understanding of the physics should not be submitted here!
The participants of IEA Wind Task 43 are intending to submit abstracts on their work relating to (1) the development of a wind energy domain ontology, (2) the launch of the TechnoPortal ontology publishing portal, (3) the Strands schema publishing tools, (4) a review and comparison of digital twin frameworks, (5) improving the FAIRness of wind energy data with the FAIR Data Maturity Model, (6) best practice for ontology and schema publishing, (7) LLMs for rotor blade maintenance. Submissions are welcome from people not participating in IEA Wind Task 43!
Session 2: Culture, data sharing and skills
In this session, we expect presentations related to organisational culture, improving data sharing and skills, including by not limited to: studies and experience on how organisational culture affects digitalisation, examples and methods for improving data sharing in wind energy, studies and methodologies for digital skills in wind energy.
The participants of IEA Wind Task 43 are intending to submit abstracts on their work relating to (1) a new blueprint for an inclusive open innovation ecosystem, (2) best practices for open source data and code, (3) the results of the latest WeDoWind challenges, (4) a new framework for mapping digital skills with wind energy use cases, (5) the results of various use case demonstration projects for improving data sharing in wind energy. Submissions are welcome from people not participating in IEA Wind Task 43!
Session 3: Use cases and demonstrations
In this session, we expect presentations related to use cases and demonstrations, including several results of WeDoWind challenges and progress reports on IEA Wind Task 43 use cases such as risk-based maintenance, decision support systems and the Wind Resource Assessment Data Model.