TY  - GEN
AB  - The modernization of naval ships requires continuous advancements in technology to ensure adaptability, stealth, damage sustainability, extended range, and reliability. In response to these challenges, the naval shipbuilding sector has embraced key technology trends, particularly in the fields of automation and the design of integrated, smart cyber-physical systems. As part of this evolution, a research in the performance evaluation of a previously developed novel Energy Management and Control System (EMS) is performed, to ensure the smooth operational capabilities of naval vessels, addressing the imperative of designing high-performance ships for all operating conditions.
This paper aims to build upon the aforementioned developments by exploring the potential benefits of integrating different multi-objective optimization algorithms into the EMS of naval ships. The traditional focus on fuel cost savings in current energy management systems may not fully exploit the versatility of naval vessels, as each mission presents distinct operational requirements. The ability to adapt to a wide variety of missions in an ever-changing world underscores the importance of developing more sophisticated integrated control algorithms with multiple optimization goals. Yet, complexity can have an impact in terms of performance, and simplicity can be of essence when choosing the most optimal optimization algorithm. 
The proposed review is focusing on the performance comparison between four optimization algorithms: Lagrange-multiplier, Nelder Mead, interior point and active set and analyse the performance in terms of cost and computing time when modulating shipboard energy production in a hybrid propulsion plant with a hybrid power supply. It takes into account the trade-off between multiple and conflicting operating goals, including fuel savings, maintenance costs, noise and IR  of on-board assets. To ensure equitable comparisons,  a previously developed model of an Offshore Patrol Vessel, as published in INEC 2020 with tittle “Multi-objective optimization and Energy Management: adapt your ship to every mission” has been employed for testing and benchmarking purposes. Simulation results under varying operational profiles showcase the applicability, validity, and advantages of different EMS algorithms compared to conventional rule-based strategies currently in use.
AD  - RH Marine
AD  - RH Marine
AD  - RH Marine
AU  - Mitropoulou, D
AU  - Miao, T
AU  - Dembinskas, D
DA  - 2024-11-05
DO  - 10.24868/11153
DO  - doi
ID  - 11153
JF  - Conference Proceedings of iSCSS
L1  - https://library.imarest.org/record/11153/files/.pdf
L2  - https://library.imarest.org/record/11153/files/.pdf
L4  - https://library.imarest.org/record/11153/files/.pdf
LK  - https://library.imarest.org/record/11153/files/.pdf
N2  - The modernization of naval ships requires continuous advancements in technology to ensure adaptability, stealth, damage sustainability, extended range, and reliability. In response to these challenges, the naval shipbuilding sector has embraced key technology trends, particularly in the fields of automation and the design of integrated, smart cyber-physical systems. As part of this evolution, a research in the performance evaluation of a previously developed novel Energy Management and Control System (EMS) is performed, to ensure the smooth operational capabilities of naval vessels, addressing the imperative of designing high-performance ships for all operating conditions.
This paper aims to build upon the aforementioned developments by exploring the potential benefits of integrating different multi-objective optimization algorithms into the EMS of naval ships. The traditional focus on fuel cost savings in current energy management systems may not fully exploit the versatility of naval vessels, as each mission presents distinct operational requirements. The ability to adapt to a wide variety of missions in an ever-changing world underscores the importance of developing more sophisticated integrated control algorithms with multiple optimization goals. Yet, complexity can have an impact in terms of performance, and simplicity can be of essence when choosing the most optimal optimization algorithm. 
The proposed review is focusing on the performance comparison between four optimization algorithms: Lagrange-multiplier, Nelder Mead, interior point and active set and analyse the performance in terms of cost and computing time when modulating shipboard energy production in a hybrid propulsion plant with a hybrid power supply. It takes into account the trade-off between multiple and conflicting operating goals, including fuel savings, maintenance costs, noise and IR  of on-board assets. To ensure equitable comparisons,  a previously developed model of an Offshore Patrol Vessel, as published in INEC 2020 with tittle “Multi-objective optimization and Energy Management: adapt your ship to every mission” has been employed for testing and benchmarking purposes. Simulation results under varying operational profiles showcase the applicability, validity, and advantages of different EMS algorithms compared to conventional rule-based strategies currently in use.
PY  - 2024-11-05
T1  - Energy profiling and planning and multi-objective optimization algorithms comparison performance
TI  - Energy profiling and planning and multi-objective optimization algorithms comparison performance
UR  - https://library.imarest.org/record/11153/files/.pdf
VL  - iSCSS 2024
Y1  - 2024-11-05
ER  -