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Study on the Vessel Traffic Safety Assessment for Routeing Measures of Offshore Wind Farm

해상풍력발전단지의 대체통항로 통항안전성 평가에 관한 연구

  • Yang, Hyoung-Seon (Division of Maritime Transportation System, Mokpo Maritime University)
  • 양형선 (목포해양대학교 해상운송시스템학부)
  • Received : 2014.03.13
  • Accepted : 2014.04.25
  • Published : 2014.04.30

Abstract

In this paper, we analysed vessel traffic volume and patterns of traffic flow for ships using areas where included wind farm site and adjacent waters of Daejeong Offshore Wind Farm, and estimated traffic volume by classified navigational routes according to suggestion of rational routeing measures on the basis of classified patterns after installation of offshore wind facilities. Also, we assessed vessel traffic safety for each designed routeing measures on the basis of estimated traffic volume and proposed requisite countermeasures for the safe navigation of ships. With a result of analysing patterns of traffic flow, the current traffic flow was classified by 8 patterns and the annual traffic volume was predicted to 8,975 ships. On the basis of these, expected the vessel traffic volume according to designed four routeing mesaures after installation of wind farm. As result of assessing vessel traffic safety by using powered-vessel collision model of SSPA on the basis of the estimated traffic volume, the value of collision probability was less than safe criteria $10^{-4}$. Thereby we made sure usability of the designed routeing measures for the safe navigation of ships.

본 연구에서는 대정해상풍력단지 설치 해역과 인근수역을 이용하는 선박교통량과 해상교통흐름의 패턴을 분석하고 단지 조성 후 합리적인 대체통항로 지정에 따른 교통량을 예측하였다. 또한 예측된 교통량을 근거하여 통항로별 통항안전성을 평가하고 검토함으로써 선박의 안전운항에 필요한 제반조건 및 대책을 제시하였다. 풍력단지 설치 해역과 인근수역의 해상교통흐름 패턴을 분석한 결과 총 8가지의 교통흐름으로 분류되었고, 연간 교통량은 8,975 척으로 예측되었다. 이를 근거로 단지 조성 후 4가지의 대체 통항로 지정에 따른 교통량을 예측하였다. 예측된 교통량과 SSPA의 동력선충돌모델을 이용하여 통항안전성을 평가한 결과 충돌 및 침로이탈확률에 관한 국내 안전기준 $10^{-4}$ 이하를 만족하므로 계획된 대체통항로가 유용함을 확인하였다.

Keywords

References

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  3. 서남해 해상풍력발전단지 내 항로형태에 따른 선박통항 위험도 평가에 관한 연구 vol.25, pp.6, 2014, https://doi.org/10.7837/kosomes.2019.25.6.635