표제지
목차
Abstract 6
제1장 서론 14
1.1. 연구의 배경과 목적 14
1.2. 연구의 방법 17
1.3. 논문의 구성 18
제2장 해상풍력발전단지의 현황 및 통항 규칙 19
2.1. 국내외 해상풍력발전단지 현황 19
2.1.1. 국외 현황 19
2.1.2. 국내 현황 23
2.2. 해상풍력발전단지 내 선박 통항사례 26
2.2.1. 국외 해상풍력발전단지 내 선박통항 사례 26
2.2.2. 국내 해상풍력발전단지 내 선박통항 사례 36
제3장 해상풍력발전단지 내 위험도 평가모델의 선정 38
3.1. FSA 38
3.1.1. FSA의 개념 38
3.1.2. FSA의 평가방법 39
3.2. PAWSA 41
3.2.1. PAWSA의 개념 41
3.2.2. PAWSA의 평가방법 43
3.3. IWRAP 44
3.3.1. IWRAP의 개념 44
3.3.2. IWRAP의 평가방법 49
3.4. ES Model 51
3.4.1. ES Model의 개념 51
3.4.2. ES Model의 평가방법 51
3.5. 위험도 평가모델의 선정 58
제4장 해상풍력발전단지 내 선박통항 시뮬레이션 실험 구성 60
4.1. 교통환경 현황 60
4.1.1. 대상해역의 선정 60
4.1.2. 교통흐름조사 62
4.2. 시뮬레이션 실험 조건 설정 67
4.2.1. 풍력터빈의 구성 67
4.2.2. 항로 설정 69
4.2.3. 선박교통량 설정 71
4.3. 시뮬레이션 시나리오의 구성 73
제5장 해상풍력발전단지 내 통항 위험도 평가 및 안전대책 74
5.1. ES Model을 통한 위험도 평가 74
5.1.1. 시뮬레이션 방법 74
5.1.2. ES Model 평가 결과 79
5.2. IWRAP을 통한 위험도 평가 85
5.2.1. 시뮬레이션 방법 85
5.2.2. IWRAP 평가결과 94
5.3. 결과 분석 및 통항안전대책 104
5.3.1. 평가결과 분석 104
5.3.2. 통항안전대책 112
제6장 결론 117
참고문헌 120
Table 2.1. Status of offshore wind power in Europe 20
Table 2.2. Status of offshore wind power generation in China and additional... 22
Table 2.3. Jeju offshore wind power status 23
Table 2.4. Domestic offshore wind farm development plan 25
Table 3.1. IALA Default causation factor 49
Table 3.2. Comparison of risk assessment models 59
Table 4.1. Entering vessel of time for gate line(7 days) 64
Table 4.2. Entering vessel of tonnage for gate line(7 days) 65
Table 4.3. Traffic volume of per hour in waterway 72
Table 4.5. Scenario for risk assessment in offshore wind farm 73
Table 5.1. Traffic volume per hour(Cross type) 74
Table 5.2. Traffic volume per hour(Grid type) 75
Table 5.3. Lateral distribution(Cross type) 76
Table 5.4. Lateral distribution(Grid type) 77
Table 5.5. Size and speed of vessel 78
Table 5.6. Defining leg(Cross type) 85
Table 5.7. Defining leg(Grid type) 86
Table 5.8. Entering annual traffic volume on each leg(Cross type) 88
Table 5.9. Entering annual traffic volume on each leg(Grid type) 89
Table 5.10. Causation factors 94
Table 5.11. Result of IWRAP in present traffic(Cross type) 95
Table 5.12. Probability of collision by waterway and waypoint in present... 95
Table 5.13. Result of IWRAP in present traffic(Grid type) 96
Table 5.14. Probability of collision by waterway and intersection in present... 96
Table 5.15. Result of IWRAP when the traffic volume increases 3 times(Cross type) 97
Table 5.16. Probability of collision by waterway and waypoint when the traffic... 97
Table 5.17. Result of IWRAP when the traffic volume increase 3 times(Grid type) 98
Table 5.18. Probability of collision by waterway and waypoint when the traffic volume... 99
Table 5.19. Result of IWRAP when the traffic volume increases 5 times(Cross type) 100
Table 5.20. Probability of collision by waterway and waypoint when the traffic... 100
Table 5.21. Result of IWRAP when the traffic volume increases 5 times(Grid type) 101
Table 5.22. Probability of collision by waterway and waypoint when the traffic volume... 101
Table 5.23. Result of IWRAP when the traffic volume increases 10 times(Cross type) 102
Table 5.24. Probability of collision by waterway and waypoint when the traffic volume... 102
Table 5.25. Result of IWRAP when the traffic volume increases 10 times(Grid type) 103
Table 5.26. Probability of collision by waterway and waypoint when the traffic volume... 104
Table 5.27. Risk result of ES model 105
Table 5.28. Result of collisions in cross type waterway 109
Table 5.29. Result of collisions in grid type waterway 109
Table 5.30. Result of grounding in cross type waterway 110
Table 5.31. Result of grounding in grid type waterway 110
Table 5.32. Result of risk assessment during traffic in southwest offshore wind farm 112
Table 5.33. Designation of speed in offshore wind farm 114
Fig. 2.1. European offshore wind farm location 21
Fig. 2.2. Prospects for additional installation of offshore wind power... 21
Fig. 2.3. Southwest sea offshore wind farm development plan 24
Fig. 2.4. Greater Gabbard wind farm, U.K 26
Fig. 2.5. Greater Gabbard offshore wind farm(Marine traffic) 27
Fig. 2.6. Vessel traffic of Greater Gabbard offshore wind farm in 2017 28
Fig. 2.7. Vessel traffic less than 500 tons of Greater Gabbard offshore wind... 28
Fig. 2.8. Vessel traffic over 500 tons of Greater Gabbard offshore wind farm in... 29
Fig. 2.9. Galloper wind farm with Great Gabbard offshore wind farm... 30
Fig. 2.10. Borssele Wind Farm, Netherlands 31
Fig. 2.11. Borssele offshore wind farm(Marine traffic) 31
Fig. 2.12. Vessel traffic of Borssele wind farm in 2017 32
Fig. 2.13. Vessel traffic less than 500 tons of Borssele offshore wind farm in... 32
Fig. 2.14. Vessel traffic over 500 tons of Borssele offshore wind farm in... 33
Fig. 2.15. Nysted wind farm, Denmark 34
Fig. 2.16. Nysted offshore wind farm(Marine traffic) 34
Fig. 2.17. Vessel traffic less than 500 tons of Nysted offshore wind farm in... 35
Fig. 2.18. Vessel traffic over 500 tons of Nysted offshore wind farm in... 35
Fig. 2.19. Wind turbine arrangement of Tamra offshore wind farm 37
Fig. 3.1. Flowchart of the FSA 39
Fig. 3.2. Waterway risk model 42
Fig. 3.3. The four main steps of the PAWSA process 43
Fig. 3.4. Definition of μ-ratio and traffic distribution 45
Fig. 3.5. Crossing waterways with risk area of ship - ship collision... 47
Fig. 4.1. Southwest sea offshore wind farm 61
Fig. 4.2. Tamna offshore wind farm 61
Fig. 4.3. Gate line 62
Fig. 4.4. Ship trajectories of 7 days in 3rd quarter(GICOMS & V-pass data) 63
Fig. 4.5. Entering vessel of time for gate line(7 days) 64
Fig. 4.6. Entering vessel of tonnage for gate line(7 days) 65
Fig. 4.7. Entering vessel of speed for gate line(7 days) 66
Fig. 4.8. Height of turbine blade 67
Fig. 4.9. Distance between wind turbine 68
Fig. 4.10. Offshore wind farm design layout 68
Fig. 4.11. Cross type route design in offshore wind farm 69
Fig. 4.12. Grid type route design in offshore wind farm 70
Fig. 4.13. Arrangement of waterway in wind farm 71
Fig. 5.1. Traffic simulation of southwest offshore wind farm(Cross type) 78
Fig. 5.2. Traffic Simulation of southwest offshore wind farm(Grid type) 79
Fig. 5.3. Result of ES model in present traffic(Cross type) 80
Fig. 5.4. Result of ES model in present traffic(Grid type) 80
Fig. 5.5. Result of ES model when the traffic volume increases 3 times(Cross type) 81
Fig. 5.6. Result of ES Model when the traffic volume increases 3 times(Grid type) 82
Fig. 5.7. Result of ES model when the traffic volume increases 5 times(Cross type) 83
Fig. 5.8. Result of ES model when the traffic volume increases 5 times(Grid type) 83
Fig. 5.9. Result of ES model when the traffic volume increases 10 times(Cross type) 84
Fig. 5.10. Result of ES Model when the traffic volume increases 10 times(Grid type) 85
Fig. 5.11. Defining leg(Cross type) 86
Fig. 5.12. Defining leg(Grid type) 87
Fig. 5.13. Traffic lateral distribution in present traffic(Cross type) 90
Fig. 5.14. Traffic lateral distribution when the traffic volume increases 3 times(Cross type) 90
Fig. 5.15. Traffic lateral distribution when the traffic volume increases 5 times(Cross type) 91
Fig. 5.16. Traffic lateral distribution when the traffic volume increases 10 times(Cross type) 91
Fig. 5.17. Traffic lateral distribution in present traffic(Grid type) 92
Fig. 5.18. Traffic lateral distribution when the traffic volume increases 3 times(Grid type) 92
Fig. 5.19. Traffic lateral distribution when the traffic volume increases 5 times(Grid type) 93
Fig. 5.20. Traffic lateral distribution when the traffic volume increases 10 times(Grid type) 93
Fig. 5.21. Comparison of ESL과 ESS(Cross type)(이미지참조) 106
Fig. 5.22. Comparison of ESL과 ESS(Grid type)(이미지참조) 107
Fig. 5.23. Result of IWRAP in cross type waterway 108
Fig. 5.24. Result of IWRAP in grid type waterway 108
Fig. 5.25. Result of ES model according to increase of traffic volume in cross type waterway 113
Fig. 5.26. Result of ES model according to increase of traffic volume in grid type waterway 113
Fig. 5.27. Designation of speed in offshore wind farm 115