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dc.contributor.advisorSteven B. Leeb, Bryan R. Moser and Daisy Green.en_US
dc.contributor.authorDeeter, Thomas,Lieutenant(Thomas Andrew)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.contributor.otherSystem Design and Management Program.en_US
dc.contributor.otherMassachusetts Institute of Technology. Engineering and Management Program.en_US
dc.date.accessioned2020-09-03T17:43:35Z
dc.date.available2020-09-03T17:43:35Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127040
dc.descriptionThesis: Nav. E., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020en_US
dc.descriptionThesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 625-626).en_US
dc.description.abstractTrends in power system simulation that demand computationally-intensive, physics-based models may impede the acquisition of useful results for applications like condition-based maintenance [1], electrical plant load analysis (EPLA) [2], and the scheduling and tasking of finite generation and distribution resources. A tool that can quickly evaluate many scenarios, as opposed to intense, high fidelity modeling of a single operating scenario, may best serve these applications. This thesis presents a behavioral simulator that can quickly emulate the operation of a relatively large collection of electrical loads, providing "what-if" evaluations for more complete exploration of a design or plant operating envelope. Comparisons to field data collected from a microgrid on-board a 270 foot US Coast Guard "Famous" Class medium endurance cutter demonstrate the utility of this tool and approach. The usefulness of this tool is further demonstrated by showing simulated EPLA load factors within 10%of observed load factors over comparable mission sets, both inport and underway. Finally, this thesis will discuss the lessons learned during SPS development and testing, specifically, the need to expand its modeling capability so it can support direct current (DC) electrical distribution systems. The SPS, in its current form can only model alternating (AC) electrical distribution systems.en_US
dc.description.statementofresponsibilityby Thomas Deeter.en_US
dc.format.extent626 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.subjectSystem Design and Management Program.en_US
dc.subjectEngineering and Management Program.en_US
dc.titleCreating a shipboard power simulation tool using electrical load behavior modelingen_US
dc.typeThesisen_US
dc.description.degreeNav. E.en_US
dc.description.degreeS.M. in Engineering and Managementen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Engineering and Management Programen_US
dc.identifier.oclc1191659793en_US
dc.description.collectionNav.E. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dc.description.collectionS.M.inEngineeringandManagement Massachusetts Institute of Technology, System Design and Management Programen_US
dspace.imported2020-09-03T17:43:35Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMechEen_US
mit.thesis.departmentSysDesen_US


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