Estimation of ship operational efficiency from AIS data using big data technology
| Autor: | Min-Jae Oh, Myung-Il Roh, Sung-Woo Park, Seong Hoon Kim, In-Il Kim |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
Big data lcsh:Ocean engineering 020101 civil engineering Ocean Engineering 02 engineering and technology 01 natural sciences Nuclear decommissioning 010305 fluids & plasmas 0201 civil engineering lcsh:VM1-989 Hull 0103 physical sciences Spark (mathematics) lcsh:TC1501-1800 Operational efficiency Automatic Identification System (AIS) Fuel Oil Consumption (FOC) business.industry lcsh:Naval architecture. Shipbuilding. Marine engineering Energy Efficiency Operational Indicator (EEOI) Ship operational efficiency Reliability engineering Shipbuilding Control and Systems Engineering Key (cryptography) business Efficient energy use |
| Zdroj: | International Journal of Naval Architecture and Ocean Engineering, Vol 12, Iss, Pp 440-454 (2020) |
| ISSN: | 2092-6782 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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