Grand challenges in the digitalisation of wind energy

Author:

Clifton AndrewORCID,Barber SarahORCID,Bray Andrew,Enevoldsen Peter,Fields Jason,Sempreviva Anna MariaORCID,Williams Lindy,Quick JulianORCID,Purdue Mike,Totaro Philip,Ding Yu

Abstract

Abstract. The availability of large amounts of data is starting to impact how the wind energy community works. From turbine design to plant layout, construction, commissioning, and maintenance and operations, new processes and business models are springing up. This is the process of digitalisation, and it promises improved efficiency and greater insight, ultimately leading to increased energy capture and significant savings for wind plant operators, thus reducing the levelised cost of energy. Digitalisation is also impacting research, where it is both easing and speeding up collaboration, as well as making research results more accessible. This is the basis for innovations that can be taken up by end users. But digitalisation faces barriers. This paper uses a literature survey and the results from an expert elicitation to identify three common industry-wide barriers to the digitalisation of wind energy. Comparison with other networked industries and past and ongoing initiatives to foster digitalisation show that these barriers can only be overcome by wide-reaching strategic efforts, and so we see these as “grand challenges” in the digitalisation of wind energy. They are, first, creating FAIR data frameworks; secondly, connecting people and data to foster innovation; and finally, enabling collaboration and competition between organisations. The grand challenges in the digitalisation of wind energy thus include a mix of technical, cultural, and business aspects that will need collaboration between businesses, academia, and government to solve. Working to mitigate them is the beginning of a dynamic process that will position wind energy as an essential part of a global clean energy future.

Funder

Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg

Energistyrelsen

Publisher

Copernicus GmbH

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference102 articles.

1. Acumen: Telecom Equipment Market Size, Share, Analysis Report By Component (Hardware, Software), By Infrastructure (Wired, Wireless), By Technology (2G and 3G, 4G LTE, 5G), By End-user (BFSI, Retail, IT and Telecommunication, Media and Entertainment, Healthcare, Military and Defense, Consumer Electronics, Others), And Region Forecast, 2022–2030, https://www.acumenresearchandconsulting.com/telecom-equipment-market, last access: 1 February 2023. a

2. Ahmed, M. A. and Kim, Y.-C.: Communication network architectures for smart-wind power farms, Energies, 7, 3900–3921, 2014. a

3. Anderson, M. and Mortensen, N.: Comparative Resource and Energy Yield Assessment Procedures (CREYAP) Pt. II, AWEA Wind Resource & Project Energy Assessment Seminar, 10–11 December 2013, Las Vegas, NV, USA, https://orbit.dtu.dk/en/publications/comparative-resource-and-energy-yield-assessment-procedures (last access: 1 February 2023), 2013. a

4. Bach-Andersen, M., Winther, O., and Rømer-Odgaard, B.: Scalable systems for early fault detection in wind turbines: a data driven approach, in: Annual Conference of the European Wind Energy Association, 17–20 November 2015, Paris, France, https://www.ewea.org/annual2015/conference/submit-an-abstract/pdf/6401120788396.pdf (last access: 1 February 2023), 2015. a

5. Benjamin, M., Gagnon, P., Rostamzadeh, N., Pal, C., Bengio, Y., and Shee, A.: Towards Standardization of Data Licenses: The Montreal Data License, arxiv [preprint], https://doi.org/10.48550/ARXIV.1903.12262, 2019.  a

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