Fuel Oil Consumption Monitoring and Predicting Gas Emission Based on Ship Performance using Automatic Identification System (AISITS) Data

• Published in: IOP conference series. Earth and environmental science Vol. 557; no. 1; pp. 12017 - 12027
• Main Authors: Wijaya, A T A, Ariana, I M, Handani, D W, Abdillah, H N
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.08.2020
• Subjects: Algorithms; Carbon dioxide; Empirical analysis; Environmental health; Exhaust emissions; Fuel consumption; Fuel oils; Marine environment; Marine pollution; Mathematical analysis; Pollutants; Pollution monitoring; Pollution sources; Ships; Sulfur; Sulfur dioxide; Water properties; Wave resistance; Wind resistance
• ISSN: 1755-1307; 1755-1315
• DOI: 10.1088/1755-1315/557/1/012017

The increasing number of ships has an impact on increasing the amount of fuel consumption and exhaust emissions produced by ships when operating. Analysis of IEA and ICCT shows the amount of emissions and consumption in 2007 to 2015 relatively increased. Ship exhaust emissions become one of the main sources of pollution of the marine environment. Pollutants originating from emissions of ships that have high CO, NOx, HC, SO2 and CO2, even sulphur pollutants can cause the risk of disruption of the human health system. Therefore monitoring technology is used by the user or operator to ensure that the ship operates efficiently. An integrated monitoring system is expected to report information such as fuel consumption, emissions and EEOI generated by the ship. The algorithm developed in this study uses the empirical formulation of the Holtrop Method (for basic resistance calculations) and the Stawave Method (for calculation of wind resistance, waves, draft changes and water properties) written in the PHP script programming. This programming is the basis of development at the interface of a program to bring up fuel monitoring data, EEOI and emissions in real time on each ship.