Arctic Sea Route Planning Based on POLARIS Rule
- Hye-Won Lee (Seoul National University) | Myung-Il Roh (Research Institute of Marine Systems Engineering / Seoul National University) | Ki-Su Kim (Seoul National University) | Kuk-Jin Kang (Korea Research Institute of Ships and Ocean Engineering) | Seong-Yeob Jung (Korea Research Institute of Ships and Ocean Engineering)
- Document ID
- International Society of Offshore and Polar Engineers
- The 29th International Ocean and Polar Engineering Conference, 16-21 June, Honolulu, Hawaii, USA
- Publication Date
- Document Type
- Conference Paper
- 2019. International Society of Offshore and Polar Engineers
- route optimization, Ship route planning, POLARIS, seed-based genetic algorithm, sea ice, Arctic Sea
- 3 in the last 30 days
- 28 since 2007
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In this study, a ship-route-planning method to find an economical and safe shipping route in the Arctic Sea is proposed. The indicators of the factors that affect the ship operation are defined in order to formulate a ship-route-planning problem into an optimization problem. Based on this, a new constraint for Arctic Sea is formulated, which implies the severity of sea ice to the ship, following the POLARIS (Polar Operational Limit Assessment Risk Indexing System) rule. To find the optimum route, the ship route and speed are optimized simultaneously using the seed-based genetic algorithm. To evaluate the applicability of the proposed method, the result was compared to the actual path and operation data of the ARAON, which is a research ship in the Arctic Sea.
As a result of global warming, the thawing of the Arctic sea ice is slowly accelerating. This enables new shipping routes through the Arctic sea to be opened, which would reduce much travel times and fuel consumption. However, though the demands for finding the optimal route passing the Arctic sea grows, the existing algorithms and programs for ship route planning have some limitations in considering the Arctic geography and sea ice condition. Kotovirta et al. (2009) searched the optimal route through the ice-covered Baltic Sea area using Powell’s method and polytope method for optimization. The parameters for ice condition such as ice thickness and concentration was considered using HIROMB (High-Resolution operational Model for the Baltic) model. More recently, the optimal route for Arctic Sea was found considering the sea ice condition. (Choi et al., 2015) The weather condition and the ice model that includes uncertainties of behavior was considered, but the speed optimization of the path was not performed. In this study, the optimization problem to find the safe and economical shipping route through the Arctic Sea was formulated. For this, the seed-based genetic algorithm is adopted to optimize ship route and speed simultaneously.
|File Size||366 KB||Number of Pages||3|