Implementation of AIS Data for Estimation of Fuel Oil Consumption and Energy Efficiency Operational Index (EEOI)

Abstract Since the development of diesel engine, maritime industry shows an upward trend. As the consequence there is an increasing amount of air pollutant, specifically CO2. As the global authorities, IMO take an action written in MEPC 304(72) to reduce greenhouse gas emission. This research aims to find out Energy Efficiency Operational Indicator (EEOI), in Indonesian flagged containership MV 01 and MV 02 and benchmark the result. Method proposed by Trozzi, Jalkanen, Wang and Mersin were used to estimate the fuel oil consumption then the obtained results were compared with fuel monitoring from ship’s bunker report. The resulted error for each method consecutively are 100,53%, 24,3%, 18,44%, and 75889%. Mersin method then modified and resulted error 36,22%. Average EEOI index for MV 01 is 0,000473 tonCO2/TEUS.nm and MV 02 0,000630 tonCO2/TEUS.nm. The result from benchmarking using EEOI variables indicated that in MV 02 has lower operational efficiency than MV 01. MV 01 carried more average cargo in voyage route Surabaya-Semarang and Surabaya-Sampit. From average total fuel oil consumption, MV 02 consumed more fuel oil in voyage route Surabaya-Sampit, Surabaya-Kumai, and Semarang-Kumai. The proposed improvement in EEOI for both vessels is by improving ship cargo management for shipping efficiency. While for MV 02, checking for technical operational aspect is needed especially on machinery system and hull conditions.

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Publication Details

Journal
IOP Conference Series Earth and Environmental Science
Published
2025-03-01
DOI
https://doi.org/10.1088/1755-1315/1461/1/012048
Primary Topic
Maritime Transport Emissions and Efficiency
Type
article
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article

Implementation of AIS Data for Estimation of Fuel Oil Consumption and Energy Efficiency Operational Index (EEOI)

Trika Pitana, Ketut Buda Artana, Hari Prastowo, I Made Ariana et al.
IOP Conference Series Earth and Environmental Science
Maritime Transport Emissions and Efficiency
article

Implementation of AIS Data for Estimation of Fuel Oil Consumption and Energy Efficiency Operational Index (EEOI)

Trika Pitana, Ketut Buda Artana, Hari Prastowo, I Made Ariana, S N Hibatullah
article en

Abstract

Abstract Since the development of diesel engine, maritime industry shows an upward trend. As the consequence there is an increasing amount of air pollutant, specifically CO2. As the global authorities, IMO take an action written in MEPC 304(72) to reduce greenhouse gas emission. This research aims to find out Energy Efficiency Operational Indicator (EEOI), in Indonesian flagged containership MV 01 and MV 02 and benchmark the result. Method proposed by Trozzi, Jalkanen, Wang and Mersin were used to estimate the fuel oil consumption then the obtained results were compared with fuel monitoring from ship’s bunker report. The resulted error for each method consecutively are 100,53%, 24,3%, 18,44%, and 75889%. Mersin method then modified and resulted error 36,22%. Average EEOI index for MV 01 is 0,000473 tonCO2/TEUS.nm and MV 02 0,000630 tonCO2/TEUS.nm. The result from benchmarking using EEOI variables indicated that in MV 02 has lower operational efficiency than MV 01. MV 01 carried more average cargo in voyage route Surabaya-Semarang and Surabaya-Sampit. From average total fuel oil consumption, MV 02 consumed more fuel oil in voyage route Surabaya-Sampit, Surabaya-Kumai, and Semarang-Kumai. The proposed improvement in EEOI for both vessels is by improving ship cargo management for shipping efficiency. While for MV 02, checking for technical operational aspect is needed especially on machinery system and hull conditions.

IOP Conference Series Earth and Environmental ScienceVol. 1461(1)
Sepuluh Nopember Institute of Technology (ID)
Openalex Percentile: Top 93%
Maritime Transport Emissions and Efficiency
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Implementation of AIS Data for Estimation of Fuel Oil Consumption and Energy Efficiency Operational Index (EEOI) — Trika Pitana, Ketut Buda Artana, et al. · IOP Conference Series Earth and Environmental Science (2025) | TGRS Research Map | TGRS