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Title:A novel bi-level distributed dynamic optimization method of ship fleets energy consumption
Authors:K. Wang, J. Li, X. Yan, L. Huang, X. Jiang, Y. Yuan, R. Ma, R.R. Negenborn

Journal:Ocean Engineering

Abstract: Nowadays, the optimization of the ship energy consumption is attracting much attention in order to save energy and reduce emissions. Compared with single ship, shipping companies are more concerned with the energy consumption of a ship fleet. Because fleet energy consumption is influenced by multiple factors including environmental factors and port operations as well as transport demands, an improvement in single ship energy consumption does not necessarily mean that the overall energy consumption of the entire fleet is optimal. In addition, those factors are usually constantly changing with time, making it hard to optimize the fleet energy consumption by method that did not consider the time-varying environment. To solve these issues, a bi-level distributed dynamic optimization method based on distributed model predictive control (DMPC) is proposed. An upper-level optimization model for fleet operational decision-making and a lower-level dynamic optimization model of fleet energy consumption are established. Based on these, a control algorithm for the dynamic optimization of fleet energy consumption (DOFEC) is developed. Finally, a case study is conducted to demonstrate the effectiveness of the method. Our results show that this dynamic method can further reduce the energy consumption by at least 1.13% for each ship and as much as 6.82% for the whole fleet.

Reference:K. Wang, J. Li, X. Yan, L. Huang, X. Jiang, Y. Yuan, R. Ma, R.R. Negenborn. A novel bi-level distributed dynamic optimization method of ship fleets energy consumption. Accepted for publication in Ocean Engineering, 2019.
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