Estimation of ship operational efficiency from AIS data using big data technology

International Journal of Naval Architecture and Ocean Engineering

Min-Jae Oh¹  Myung-Il Roh²  Seong-Hoon Kim³  In-Il Kim⁴  Sung-Woo Park⁵ 

[1] Corresponding author. Department of the Naval Architecture and Ocean Engineering, and Research Institute of Marine Systems Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.;Department of Naval Architecture and Ocean Engineering, Research Institute of Marine Systems Engineering, Seoul National University, Seoul, Republic of Korea;Department of Naval Architecture and Ocean Engineering, Seoul National University, Republic of Korea;Interdisciplinary Program in Offshore Plant Engineering, Seoul National University, Seoul, Republic of Korea;School of Naval Architecture and Ocean Engineering, University of Ulsan, Republic of Korea;

关键词: Ship operational efficiency;    Energy Efficiency Operational Indicator (EEOI);    Fuel Oil Consumption (FOC);    Automatic Identification System (AIS);    Big data;   

DOI  :  

来源: DOAJ

【 摘 要 】

To prevent pollution from ships, the Energy Efficiency Design Index (EEDI) is a mandatory guideline for all new ships. The Ship Energy Efficiency Management Plan (SEEMP) has also been applied by MARPOL to all existing ships. SEEMP provides the Energy Efficiency Operational Indicator (EEOI) for monitoring the operational efficiency of a ship. By monitoring the EEOI, the shipowner or operator can establish strategic plans, such as routing, hull cleaning, decommissioning, new building, etc. The key parameter in calculating EEOI is Fuel Oil Consumption (FOC). It can be measured on board while a ship is operating. This means that only the shipowner or operator can calculate the EEOI of their own ships. If the EEOI can be calculated without the actual FOC, however, then the other stakeholders, such as the shipbuilding company and Class, or others who don't have the measured FOC, can check how efficiently their ships are operating compared to other ships. In this study, we propose a method to estimate the EEOI without requiring the actual FOC. The Automatic Identification System (AIS) data, ship static data, and environment data that can be publicly obtained are used to calculate the EEOI. Since the public data are of large capacity, big data technologies, specifically Hadoop and Spark, are used. We verify the proposed method using actual data, and the result shows that the proposed method can estimate EEOI from public data without actual FOC.

【 授权许可】

Unknown