摘要
由於燃油價格上升與溫室效應問題逐漸成為嚴重的問題，節省船舶航行中的耗油量將成為重要的題。在過去的十年，世界上知名的造船廠或航運公司，以氣候航程的概念開發導航輔助系統，不僅提升能源使用效率，同時提升船組人員、船舶與貨物之安全性。本研究使用相同概念進行航線規劃。
本研究以2D截片理論為基礎計算船體運動之反應振幅運算因子（RAO），並結合ISSC能量波譜計算船體運動有義值，依據不同海況下所計算的有義值運動量，預先建立一套全航速之動態反應資料庫，在航線規劃過程中根據不同遭遇海況、航速及相對波向角在資料庫中搜尋相關運動量，以此達到快速規劃航線之效果。
規劃航線過程中，以人員與船舶之間的安全為首要考量。依據NOAA所發佈的即時海氣象資訊，模擬船舶在預測海況下的航行狀況，以不同的規劃方法進行模擬，比較各個模擬結果之間的安全性與燃油使用效率後，選出最佳的規劃航線，並提供相關航行建議，輔助船舶以安全且較省油的方式到達目的地。基於節能減碳及航運成本之考量，航商以省油為目標規劃航線將成為未來趨勢。
本研究中的各種航線規劃方法，相關的使用限制與規劃結果將以案例分析方式進行討論與說明。

Abstract
The rising fuel price and the greenhouse effect on the environment gradually become serious problems. Reducing fuel consumption will be an very important issue in sailing. Over the past decade, the world's major shipbuilding and shipping companies, such as Samsung Heavy Industries, Kawasaki Heavy Industries and Global Shipbuilding, etc., applied the concept of weather routing to develop navigation support systems to improve energy efficiency, safety of cargos, ships and ship crew. This thesis creates an analytical software including the ship seakeeping characteristics to extend the concept.
In the present study the ship motion response characteristics calculated in the form of Response Amplitude Operator (RAO) and combine the ISSC spectrum to establish the database which includes the significant motion and mean added resistance. In the simulation, the database can offer several optional solutions of safe route planning with respect to the real-time weather information in every waypoint and the optimal route can be finally suggested.
Optimization models are constructed for deterministic minima with respect to the distance and the fuel consideration. An container ship is selected as the calculation model and realistic solutions for the ship routing planning are obtained based on real-time weather information from NOAA’s forecast.
Several algorithms are used in this thesis and different comparisons of fuel-efficiency are already made. Some conclusions of the limitations of the prediction models are also made according to the present results.

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