TY - GEN
T1 - Modeling and simulation of an electric warship integrated engineering plant for battle damage response
AU - Cramer, Aaron M.
AU - Zivi, Edwin L.
AU - Sudhoff, Scott D.
PY - 2011
Y1 - 2011
N2 - Novel continuity-of-service metrics are applied to perform proof-of-concept simulation-based design of a complex, dynamically interdependent electro-thermal-fluid-spatial-control system subjected to hostile disruptions. The power system models are based on experimentally validated reduced-scale and reduced-complexity testbed models which are representative of U.S. Navy Next Generation Integrated Power Systems. In collaboration with an industry partner, representative thermal and spatial models were incorporated into the layered simulation. This time-domain simulation was used to quantify performance to a specific disruption in terms of a weighted aggregate continuity of service to vital loads. By extension, system vulnerability was quantified using a population of likely threats. Optimization-based early design space exploration was shown to dramatically decrease the notional ship integrated engineering plant vulnerability by improving the performance of a worst-case casualty by a factor of 6. These achievements establish the metrics, methods, and tools to perform quantitative optimization-based early design space exploration for complex, dynamically interdependent systems such as an electric warship.
AB - Novel continuity-of-service metrics are applied to perform proof-of-concept simulation-based design of a complex, dynamically interdependent electro-thermal-fluid-spatial-control system subjected to hostile disruptions. The power system models are based on experimentally validated reduced-scale and reduced-complexity testbed models which are representative of U.S. Navy Next Generation Integrated Power Systems. In collaboration with an industry partner, representative thermal and spatial models were incorporated into the layered simulation. This time-domain simulation was used to quantify performance to a specific disruption in terms of a weighted aggregate continuity of service to vital loads. By extension, system vulnerability was quantified using a population of likely threats. Optimization-based early design space exploration was shown to dramatically decrease the notional ship integrated engineering plant vulnerability by improving the performance of a worst-case casualty by a factor of 6. These achievements establish the metrics, methods, and tools to perform quantitative optimization-based early design space exploration for complex, dynamically interdependent systems such as an electric warship.
KW - Complex systems
KW - Electric ships
KW - Integrated engineering plants
KW - Survivability
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M3 - Conference contribution
AN - SCOPUS:84871338564
SN - 9781617829512
T3 - Proceedings of the 2011 - Grand Challenges in Modeling and Simulation Conference, GCMS 2011
SP - 230
EP - 237
BT - Proceedings of the 2011 - Grand Challenges in Modeling and Simulation Conference, GCMS 2011
T2 - 4th Grand Challenges in Modeling and Simulation Conference, GCMS 2011
Y2 - 27 June 2011 through 30 June 2011
ER -