TY  - GEN
AB  - Adaptability, stealth, damage sustainability, extended range and reliability are key factors to every successful naval mission. The shipbuilding industry conceptualized and deployed a wide variety of power and propulsion architectures over the decades: from mechanical, to electrical and hybrid propulsion. The tendency towards increasingly complex propulsion and power generation systems calls for the development of intelligent control strategies, Energy Management Systems (EMSs), that can handle the complexity and exploit the increased degrees-of-freedom (DOFs) of hybrid systems, while conforming to all operational constraints. In current EMSs, the aim is to save fuel costs. However, the ability to adapt to a wide variety of missions in an ever changing world is important for naval vessels. Hence, this raises the question: Can further operational gains be achieved through the use of more sophisticated integrated control algorithm, with multiple optimization goals? The present work aims to address this issue, by developing such a control system for a naval platform. The proposed EMS can modulate shipboard energy production of a hybrid propulsion plant with hybrid power supply, considering the trade-off between multiple conflicting operating goals: fuel savings, maintenance costs of on-board assets, noise and infrared signature. A validated model of a Holland class Patrol Vessel has been utilized to test the proposed EMS. Simulation results under varying operational profiles demonstrate the applicability, validity and the advantages of the approach.
AD  - RH Marine Netherlands BV, The Netherlands
AD  - Research & Technology Support - Damen Schelde Naval Shipbuilding - the Netherlands
AD  - Netherlands Organisation for Applied Scientific Research, TNO
AD  - Netherlands Defence Academy, The Netherlands
AD  - Netherlands Defence Academy, The Netherlands
AD  - RH Marine Netherlands BV, The Netherlands
AD  - RH Marine Netherlands BV, The Netherlands
AU  - Mitropoulou, D
AU  - Kalikatzarakis, M
AU  - van Der Klauw, T
AU  - Blokland, AJ
AU  - Geertsma, RD
AU  - Bucurenciu, AM
AU  - Dembinskas, D
DA  - 2020-10-05
ID  - 7753
JF  - Conference Proceedings of iSCSS
KW  - Energy Management
KW  - Hybrid propulsion
KW  - Multi-objective optimization
L1  - https://library.imarest.org/record/7753/files/iSCSS_2020_Paper_29.pdf
L2  - https://library.imarest.org/record/7753/files/iSCSS_2020_Paper_29.pdf
L4  - https://library.imarest.org/record/7753/files/iSCSS_2020_Paper_29.pdf
LK  - https://library.imarest.org/record/7753/files/iSCSS_2020_Paper_29.pdf
N2  - Adaptability, stealth, damage sustainability, extended range and reliability are key factors to every successful naval mission. The shipbuilding industry conceptualized and deployed a wide variety of power and propulsion architectures over the decades: from mechanical, to electrical and hybrid propulsion. The tendency towards increasingly complex propulsion and power generation systems calls for the development of intelligent control strategies, Energy Management Systems (EMSs), that can handle the complexity and exploit the increased degrees-of-freedom (DOFs) of hybrid systems, while conforming to all operational constraints. In current EMSs, the aim is to save fuel costs. However, the ability to adapt to a wide variety of missions in an ever changing world is important for naval vessels. Hence, this raises the question: Can further operational gains be achieved through the use of more sophisticated integrated control algorithm, with multiple optimization goals? The present work aims to address this issue, by developing such a control system for a naval platform. The proposed EMS can modulate shipboard energy production of a hybrid propulsion plant with hybrid power supply, considering the trade-off between multiple conflicting operating goals: fuel savings, maintenance costs of on-board assets, noise and infrared signature. A validated model of a Holland class Patrol Vessel has been utilized to test the proposed EMS. Simulation results under varying operational profiles demonstrate the applicability, validity and the advantages of the approach.
PY  - 2020-10-05
T1  - Multi-objective optimisation and Energy Management: adapt your ship to every mission
TI  - Multi-objective optimisation and Energy Management: adapt your ship to every mission
UR  - https://library.imarest.org/record/7753/files/iSCSS_2020_Paper_29.pdf
VL  - iSCSS 2020
Y1  - 2020-10-05
ER  -