Variable time-scale power scheduling of a River-Sea going renewable energy ship considering coupling variations in all-electric propulsion

He Yin, Jinghu Wu, Gang Zhang, Hai Lan, Ying-Yi Hong and Dan Li

Applied Energy, 2024, vol. 374, issue C, No S0306261924013011

Abstract: With the release of the ‘2050 Net Zero Emissions from Shipping’ by the International Maritime Organization (IMO) and China ‘Carbon Neutrality’ policy, it is imperative to develop renewable energy ships. River-sea going renewable energy ships have high economic benefits and low emissions. They can sail in both rivers and seas without other ships and barges. To realize the economical and low-carbon operation of river-sea going renewable energy ships, a variable time-scale power scheduling strategy is proposed. A new model of all-electric propulsion power is firstly proposed. The model focuses on the multi-variables coupling variations of a ship propulsion process, such as resistance, motion state, navigation speed, deadweight and so on. A voyage-power hierarchical framework which is based on a stochastic model predictive control (SMPC) method is developed to optimize the scheduling scheme. A novel variable time-scale control mechanism in view of uncertainty fluctuation quantization is proposed. Results show that the energy consumption of the proposed all-electric propulsion power computational model is reduced by 52.6%, compared with the traditional computational model. The operation cost and carbon emission which are determined by the proposed method is reduced by 21.6% and 35.9%, respectively.

Keywords: river-sea going ships; all-electric propulsion; power scheduling; stochastic model predictive control; variable time scale (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123918

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