Abstract
Sea shipping is one of the most widespread transport modes. Therefore, the improvement of energy efficiency and further curbing of Carbon Dioxide emissions by marine vessels is important both economically and environmentally. During the sixty ninth Marine Environment Protection Committee session in April 2016, the International Maritime Organization approved mandatory requirements for ships to report their fuel consumption, which is the first of the three-phase approach to derive a standardized measure for energy efficiency tracking of marine vessels. Under the International Maritime Organization Data Collection System, emphasis has been placed on verification of the collected fuel consumption data so that vessels' energy efficiency could be benchmarked and improved. To optimize the operational efficiency of marine vessels, this paper proposes the Real-Time Energy Efficiency Operating Index and the framework to implement it. The proposed scheme can be used to verify fuel consumption and carbon dioxide emission data reported by individual ships. It also provides an approach to automatically and remotely estimate the transport work in real time. The proposed architecture mainly relies on the Automated Identification System and a constructed vessel database. A proof of concept prototype is deployed that monitors the energy efficiency of vessels along the Singapore Strait.
Original language | English (US) |
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Pages (from-to) | 246-260 |
Number of pages | 15 |
Journal | Energy |
Volume | 145 |
DOIs | |
State | Published - Feb 15 2018 |
Keywords
- Carbon dioxide emissions
- Energy efficiency
- Real-time monitoring
- Shipping
- Singapore Strait
ASJC Scopus subject areas
- Mechanical Engineering
- Pollution
- Energy Engineering and Power Technology
- Energy(all)
- Electrical and Electronic Engineering
- Management, Monitoring, Policy and Law
- Industrial and Manufacturing Engineering
- Building and Construction
- Fuel Technology
- Renewable Energy, Sustainability and the Environment
- Civil and Structural Engineering
- Modeling and Simulation