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A framework for real-time monitoring of energy efficiency of marine vessels

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  • Chi, Hongtao
  • Pedrielli, Giulia
  • Ng, Szu Hui
  • Kister, Thomas
  • Bressan, Stéphane

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.

Suggested Citation

  • Chi, Hongtao & Pedrielli, Giulia & Ng, Szu Hui & Kister, Thomas & Bressan, Stéphane, 2018. "A framework for real-time monitoring of energy efficiency of marine vessels," Energy, Elsevier, vol. 145(C), pages 246-260.
    • Handle: RePEc:eee:energy:v:145:y:2018:i:c:p:246-260
    DOI: 10.1016/j.energy.2017.12.088
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    References listed on IDEAS

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    1. Nuchturee, Chalermkiat & Li, Tie & Xia, Hongpu, 2020. "Energy efficiency of integrated electric propulsion for ships – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    2. Wang, Kai & Hua, Yu & Huang, Lianzhong & Guo, Xin & Liu, Xing & Ma, Zhongmin & Ma, Ranqi & Jiang, Xiaoli, 2023. "A novel GA-LSTM-based prediction method of ship energy usage based on the characteristics analysis of operational data," Energy, Elsevier, vol. 282(C).
    3. George Panagakos & Thiago de Sousa Pessôa & Nick Dessypris & Michael Bruhn Barfod & Harilaos N. Psaraftis, 2019. "Monitoring the Carbon Footprint of Dry Bulk Shipping in the EU: An Early Assessment of the MRV Regulation," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    4. Wang, Kai & Xue, Yu & Xu, Hao & Huang, Lianzhong & Ma, Ranqi & Zhang, Peng & Jiang, Xiaoli & Yuan, Yupeng & Negenborn, Rudy R. & Sun, Peiting, 2022. "Joint energy consumption optimization method for wing-diesel engine-powered hybrid ships towards a more energy-efficient shipping," Energy, Elsevier, vol. 245(C).
    5. ben Brahim, Till & Wiese, Frauke & Münster, Marie, 2019. "Pathways to climate-neutral shipping: A Danish case study," Energy, Elsevier, vol. 188(C).

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