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The Methodology for Assessing the Impact of Offshore Wind Farms on Navigation, Based on the Automatic Identification System Historical Data

Author

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  • Krzysztof Naus

    (Department of Navigation and Naval Weapons, Gdynia, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Katarzyna Banaszak

    (Department of Navigation and Naval Weapons, Gdynia, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

  • Piotr Szymak

    (Institute of Electrical Engineering and Automatics, Gdynia, Polish Naval Academy, Smidowicza 69, 81-127 Gdynia, Poland)

Abstract

Mounting offshore renewable energy installations often involves extra risk regarding the safety of navigation, especially for areas with high traffic intensity. The decision-makers planning such projects need to anticipate and plan appropriate solutions in order to manage navigation risks. This process is referred to as “environmental impact assessment”. In what way can these threats be reduced using the available Automatic Identification System (AIS) tool? This paper presents a study of the concept for the methodology of an a posteriori vessel traffic description in the form of quantitative and qualitative characteristics created based on a large set of historical AIS data (big data). The research was oriented primarily towards the practical application and verification of the methodology used when assessing the impact of the planned Offshore Wind Farm (OWF) Baltic II on the safety of ships in Polish Marine Areas, and on the effectiveness of navigation, taking into account the existing shipping routes and customary and traffic separation systems. The research results (e.g., a significant distance of the Baltic II from the nearest customary shipping route equal to 3 Nm, a small number of vessels in its area in 2017 amounting to only 930) obtained on the basis of the annual AIS data set allowed for an unambiguous and reliable assessment of the impact of OWFs on shipping, thus confirming the suitability of the methodology for MREI spatial planning.

Suggested Citation

  • Krzysztof Naus & Katarzyna Banaszak & Piotr Szymak, 2021. "The Methodology for Assessing the Impact of Offshore Wind Farms on Navigation, Based on the Automatic Identification System Historical Data," Energies, MDPI, vol. 14(20), pages 1-23, October.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:20:p:6559-:d:654634
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    References listed on IDEAS

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    1. Toke, David, 2011. "The UK offshore wind power programme: A sea-change in UK energy policy?," Energy Policy, Elsevier, vol. 39(2), pages 526-534, February.
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    1. Weigell, Jürgen & Jahn, Carlos, 2022. "Assessing offshore wind farm collision risks using AIS data: An overview," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 499-521, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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