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- W2247485590 abstract "Maritime transport is one of the most energy efficient and one of the lowest CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emitting modes of transport. Nonetheless, the industry's carbon footprint is significant. Stakeholders recognize the need for continuing efforts to curb CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions. Such efforts require the ability to measure individual vessels' energy efficiency. To this end, several energy efficiency metrics/indices have been developed for tracking real time CO <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>2</sub> emissions by marine vessels. We propose a new methodology to calculate and monitor individual vessel's energy efficiency and carbon emissions in real time through the Real-Time Energy Efficiency Operating Index (RT-EEOI).We demonstrate the practicality of the proposed methodology by presenting a software architecture implementing it. Specifically, by combining a vessel database with live data from the Automated Identification System (AIS), we calculate the RTEEOI index. The system has been deployed to monitor traffic in the Southwest part of the port and strait of Singapore. We propose an example of implementation of the proposed framework in the Singapore waters to show how it can be deployed in the scenario of real time efficiency tracking." @default.
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- W2247485590 date "2015-12-01" @default.
- W2247485590 modified "2023-10-16" @default.
- W2247485590 title "An AIS-based framework for real time monitoring of vessels efficiency" @default.
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- W2247485590 doi "https://doi.org/10.1109/ieem.2015.7385841" @default.
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