Condition-based Optimal Maintenance and Energy Management of All-electric Ships

This research paper focuses on coordinated operation scheduling of the condition-based maintenance and energy management of an all-electric ship (AES). The condition-based maintenance comprises of risk assessments, short-duration main-tenance, and condition monitoring of the critical components. The main objective of the proposed strategy is to minimize the fuel, emission, and maintenance cost of the generation and storage units by optimally scheduling the voyage, generation, and risk assessment periods while incorporating the additional information obtained from the condition monitoring equipment. The problem is formulated as a mixed-integer linear programming problem and the non-linear constraints are linearized to improve the computational efficiency. Based on the criticality and risk assessment of the affected units, the operation schedules are continuously updated. The proposed method is validated through a simulation study, and the results demonstrate the applicability and effectiveness of the proposed strategy for the future AES.