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Tytuł artykułu

Use of simulator training to mitigate risks in Arctic shipping operations

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Języki publikacji
EN
Abstrakty
EN
Over the recent years, ship traffic in the polar areas has increased. There is reason to believe that this traffic, and especially the cruise traffic, will increase further as the ice retracts towards the poles. There is also reason to believe that with the continued focus and exposure of the Polar Region, the cruise tourism to the region will grow. The increased presence in the polar areas will create positive repercussions for several actors, both on sea and land. There will, however, also be challenges associated with the growing presence in the polar areas. Vessels will be operating at long distances to other vessels and land infrastructures. These vessels will also be operating in climate and conditions that will put extra pressure on both vessel and crew. These challenges need to be solved in order for the ship industry to operate safely in the Polar Region. To ensure that companies operating in these areas identify and manage these challenges, the International Maritime Organization (IMO) developed the Polar Code (2017) with the intent of increasing the safety for vessels operating in polar waters, and to reduce the impact on humans and environment in this remote, vulnerable and harsh area. This code defines a number of requirements, with which the vessels should operate in accordance with. In this paper, we reveal which challenges the vessel and its crew need to deal with when navigating in polar waters. The challenges will be analysed and assessed through the use of a preliminary qualitative risk analysis to determine the potential hazards the vessel is exposed to under operations in polar waters, and to find out what level of risk the different hazards represents for the vessel and its crew. The main objective of the paper is to find out how the risk levels can be reduced, with particular focus on the use of simulator training as a risk reducing measure. The final goal is to measure the risk towards acceptance criteria, which have been determined prior to conducting the analysis.
Twórcy
autor
  • University of Tromsø, The Arctic University of Norway, Tromsø, Norway
  • University of Tromsø, The Arctic University of Norway, Tromsø, Norway
  • University of Stavanger, Stavanger, Norway
Bibliografia
  • 1. Dalaklis D. and Baxevani E., (2018) Maritime Transport in   the  Arctic  After  the  Introduction  of  the  Polar  Code:  A  Discussion of the New Training Needs. In: Hildebrand L.,  Brigham L., Johansson T. (eds) Sustainable Shipping in a  Changing Arctic. WMU Studies in Maritime Affairs, vol  7.  Springer,  Cham.  https://doi.org/10.1007/978‐3‐31978425‐0_21 
  • 2. DNV;  Det  Norske  Veritas,  (2010).  Risikoanalyse  vedrørende  los‐  eller  kjentmannstjeneste  som  skal  gjelde  på  Svalbard,  Høvik.  https://www.kystverket.no/contentassets/  894dd68148814c05a44320c7296e9149/risikoanalysevedrorende‐los‐eller‐kjentmanstjeneste‐som‐skal‐gjeldepa‐svalbard.pdf 
  • 3. DNV GL, (2014). Årsaksanalyse av grunnstøtinger og kollisjoner  i  norske  farvann,  Høvik.  http://www.kystverket.no/contentassets/f056df3c875140 aa98ef49a25cc082c6/3_arsaksanalyse.pdf 
  • 4. Gudmestad, O. T.; Rettedal, W. K.; Sand, S. S.; Brabazon, P.;  Trbojevic,  V.  and  Helsøe,  E.,  (1995).  Use  of  simulator  training to reduce risk in offshore marine operations, OMAE95, Vol. Ⅱ, p.p. 513‐521, Copenhagen, June.
  • 5. Hjelmervik, K.; Nazir, S. and Myhrvold, A., (2018). Simulator  training for maritime complex tasks: an experimental study,  WMU  J  Maritime  Affairs  17:  17.  https://doi.org/10.1007/s13437‐ 017‐0133‐0
  • 6. IMO,  International  Maritime  Organization,  (2017).  The  International Polar Code, IMO, London 
  • 7. Kongsberg Maritime., (2018, May 22). K‐Sim Navigation –  Ship  Bridge  Simulator.  https://kongsberg.com/en/  kongsberg‐digital/maritime%20simulation/ksim%20navigation%20‐page/ 
  • 8. Koponen, J., (2015). Reducing Risks of Arctic Operations with  Ice Simulator, TransNav. Vol. 9. No 3, p.p. 385‐390. 
  • 9. Kozuba, J. and Bondaruk, A., (2014). Flight simulator as an  essential  device  supporting  the  process  of  shaping  pilotʹs  situational awareness. INTERNATIONAL CONFERENCE  of  SCIENTIFIC  PAPER  AFASES  2014,  p.p.  695‐714,  Brasov,  May.  http://www.afahc.ro/ro/afases/2014/forte/Kozuba.pdf
  • 10. Rambøll, (2011). En analyse av sannsynligheten for ulykker ved  seilas  på  Øst‐Svalbard.  Trondheim.  http://docplayer.me/4761414‐En‐analyse‐avsannsynligheten‐for‐ulykker‐ved‐seilas‐pa‐ostsvalbard.html 
  • 11. Rothblaum, A. M; Wheal, D.; Withington, S.; Shappell, S. A.;  Wiegmann,  D.  A.;  Boehm,  W.  and  Chaderjian,  M.,  (2002).  Human  Factors  in  Incident  Investigation  and  Analysis, 2nd International Workshop on Human Factors  in  Offshore  (HFW2002),  Houston,  April.  http://www.dtic.mil/dtic/tr/fulltext/u2/a458863.pdf 
  • 12. Samuelsen, E.M.; Løset, S. and Edvardsen, K., (2015). Marine  icing observed on KV Nordkapp during a cold air outbreak  with a developing polar low in the Barents Sea, Port and  Ocean  Engineering  under  Arctic  Conditions,  Trondheim, June.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bce52c28-0969-459e-8494-59aad4f8abe9
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