Cited by 114Wind Energy Research and DevelopmentWave and Wind Energy SystemsOffshore Engineering and Technologies

The DOI matches its Crossref record; 52 of the 56 references it cites were found in a registry or an index.

A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector

Open access

Abstract

The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy production. Today, RAI applications are predominately being used to support short term objectives in operation and maintenance. However, moving forward, RAI has the potential to play a critical role throughout the full lifecycle of offshore wind infrastructure, from surveying, planning, design, logistics, operational support, training and decommissioning. This paper presents one of the first systematic reviews of RAI for the offshore renewable energy sector. The state-of-the-art in RAI is analyzed with respect to offshore energy requirements, from both industry and academia, in terms of current and future requirements. Our review also includes a detailed evaluation of investment, regulation and skills development required to support the adoption of RAI. The key trends identified through a detailed analysis of patent and academic publication databases provide insights to barriers such as certification of autonomous platforms for safety compliance and reliability, the need for digital architectures for scalability in autonomous fleets, adaptive mission planning for resilient resident operations and optimization of human machine interaction for trusted partnerships between people and autonomous assistants. Our study concludes with identification of technological priorities and outlines their integration into a new ‘symbiotic digital architecture’ to deliver the future of offshore wind farm lifecycle management.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.egyai.2022.100146

Cites

52 of 52 references verified0 citation errors · 0 not checkable

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Citations

Cites

Show all 56 references

Research works printed but not linked: 20

  1. World Energy Council and University of Cambridge, Climate change: implications for the energy sector, Jun. 2014. https://www.worldenergy.org/assets/images/imported/2014/06/Climate-Change-Implications-for-the-Energy-Sector-Summary-from-IPCC-AR5-2014-Full-report.pdf (accessed Nov. 03, 2021).
  2. I. Staffell, R. Green, T. Green, and M. Jansen, Electric insights quarterly, Accessed: Oct. 05, 2021. [Online]. Available: https://reports.electricinsights.co.uk/wp-content/uploads/2021/05/Drax-Electric-Insights-Q1-2021-Report.pdf.
  3. Offshore wind growth partnership launches | News | ORE Catapult. https://ore.catapult.org.uk/press-releases/hundreds-of-uk-companies-to-benefit-from-new-initiative-to-maximise-offshore-wind-supply-chain-opportunities/ (accessed Oct. 28, 2020).
  4. North East paramedics scale new heights in wind turbine rescue training - ORE Catapult. https://ore.catapult.org.uk/press-releases/north-east-paramedics-scale-new-heights-wind-turbine-rescue-training/ (accessed Oct. 15, 2020).
  5. Netland, 2014, Concept illustration of a remote inspection robot inside a simplified,... | Download Scientific Diagram, Energy Procedia, 53
  6. World's longest wind turbine blade arrives in the UK! | LM Wind Power. https://www.lmwindpower.com/en/stories-and-press/stories/news-from-lm-places/107-worlds-longest-blade-arrives-in-the-uk (accessed Dec. 14, 2020).
  7. S. Wyatt, S. Bieller, C. Muller, D. Qu, and X. Song, World robotics 2019 service robots, IFR Press Conference, Sep. 18, 2019. https://www.ifr.org/downloads/press2018/IFR World Robotics Presentation - 18 Sept 2019.pdf (accessed Sep. 15, 2020).
  8. Thales ready for Royal Navy test of its unmanned systems | Thales Group. https://www.thalesgroup.com/en/worldwide/defence/press-release/thales-ready-royal-navy-test-its-unmanned-systems (accessed Oct. 08, 2021).
  9. First robotic ‘blade walk’ on a wind turbine opens door to significant cost cuts in offshore renewables - ORE. https://ore.catapult.org.uk/press-releases/bladebug-completes-worlds-first-blade-walk-on-offshore-turbine/ (accessed Nov. 30, 2020).
  10. Newcastle college launches virtual reality training | Press releases. https://ore.catapult.org.uk/press-releases/newcastle-college-launches-virtual-reality-offshore-wind-training-facility/ (accessed Oct. 15, 2020).
  11. About Scopus - Abstract and citation database | Elsevier. https://www.elsevier.com/solutions/scopus (accessed Feb. 12, 2021).
  12. 2018, The international renewable energy agency (IRENA), Offshore innovation widens renewable energy options
  13. Barnes, 2018, Technology drivers in windfarm asset management position paper, Home Offshore
  14. MIMRee explores future of offshore wind O&M | Press Release | ORE Catapult. https://ore.catapult.org.uk/press-releases/mimree-inspection-repair-solution/ (accessed Oct. 09, 2020).
  15. Rystad Energy - China's growth set to help Asia's installed offshore wind capacity catch up with Europe in 2025. https://www.rystadenergy.com/newsevents/news/press-releases/chinas-growth-set-to-help-asias-installed-offshore-wind-capacity-catch-up-with-europe-in-2025/ (accessed Apr. 30, 2021).
  16. Wind turbine blade of the year: LM 107.0 P | LM Wind Power. https://www.lmwindpower.com/en/stories-and-press/stories/news-from-lm-places/blade-of-the-year-lm-107 (accessed Dec. 14, 2020).
  17. LM 107 m blade arrives at ORE Catapult Blyth | Press Releases. https://ore.catapult.org.uk/press-releases/lm-blade-arrives-ore-catpult-blyth/ (accessed Dec. 15, 2020).
  18. Autonomous construction solutions advance as industry specific challenges addressed - robotics business review. https://www.roboticsbusinessreview.com/construction/autonomous-construction-solutions-advance-as-industry-specific-challenges-addressed/ (accessed Jun. 09, 2021).
  19. D. Mitchell et al., Symbiotic System of Systems Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms- Full Video, 2021. https://youtu.be/3YzsEtpQMPU. · DOI
  20. COP26 outcomes - UN climate change conference (COP26) at the SEC – glasgow 2021. https://ukcop26.org/the-conference/cop26-outcomes/ (accessed Nov. 29, 2021).

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Metadata

Authors
Mitchell, D., Blanche, J., Harper, S., Lim, T., Gupta, R., Zaki, O., Tang, W., Robu, V., Watson, S., & Flynn, D.
Affiliations
  • Heriot-Watt University (GB)
  • Centrum Wiskunde & Informatica (NL)
  • University of Manchester (GB)
Corresponding author
Mitchell, Daniel
Venue
Energy and AI
Publisher
Elsevier BV
Published
2022-05
Volume
8
Pages
100146
ISSN
2666-5468 (ISSN-L)
OpenAlex
W4200630024
Cited by
114
References
56
Citations by year
2026: 20 · 2025: 40 · 2024: 24 · 2023: 21 · 2022: 9
FWCI
10.45
Type
journal article
Language
en
Open access
Locations
  • Energy and AI (publishedVersion, cc-by)
  • Research Explorer (The University of Manchester) (publishedVersion, cc-by)
  • ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion, cc-by-sa)
  • arXiv (Cornell University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
  • Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Research Repository (Delft University of Technology) (submittedVersion, cc-by)
  • arXiv (Cornell University) (cc-by)
Funders
  • Offshore Robotics for Certification of Assets (EP/R026173/1)
  • Engineering and Physical Sciences Research Council (EP/R026173/1, EP/P009743/1, EP/R026173)
Topics
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Wind Energy Research and Development
  • Physical Sciences › Engineering › Ocean Engineering › Wave and Wind Energy Systems
  • Physical Sciences › Engineering › Ocean Engineering › Offshore Engineering and Technologies
Keywords
artificial intelligence, robotics, offshore wind energy, operation and maintenance, autonomous platforms, human-machine interaction, digital architecture, skill development

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