System-level Modeling of Cooling Networks in All Electric Ships

A Thermal management simulation tool is required to rapidly and accurately evaluates and mitigates the adverse effects of increased heat loads in the initial stages of design in all electric ships. By reducing the dimension of Navier-Stokes and energy equations, we have developed one-dimensional par...

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Main Author: Babaee, Hessam
Format: Technical Report
Language:en_US
Published: Massachusetts Institute of Technology. Sea Grant College Program 2015
Online Access:http://hdl.handle.net/1721.1/96978
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author Babaee, Hessam
author_facet Babaee, Hessam
author_sort Babaee, Hessam
collection MIT
description A Thermal management simulation tool is required to rapidly and accurately evaluates and mitigates the adverse effects of increased heat loads in the initial stages of design in all electric ships. By reducing the dimension of Navier-Stokes and energy equations, we have developed one-dimensional partial differential equations models that simulate time-dependent hydrodynamics and heat transport in a piping network system. Beside the steady-state response, the computational model enables us to predict the transient behavior of the cooling system, when the operating conditions are time-variant. To accurately predict the impact of cooling system on temperature distribution at different ship's locations/components and vice versa, we coupled our computational tool with vemESRDC developed at Florida State University. We verified our implementation with several benchmark problems.
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spelling mit-1721.1/969782019-04-11T13:06:11Z System-level Modeling of Cooling Networks in All Electric Ships Babaee, Hessam A Thermal management simulation tool is required to rapidly and accurately evaluates and mitigates the adverse effects of increased heat loads in the initial stages of design in all electric ships. By reducing the dimension of Navier-Stokes and energy equations, we have developed one-dimensional partial differential equations models that simulate time-dependent hydrodynamics and heat transport in a piping network system. Beside the steady-state response, the computational model enables us to predict the transient behavior of the cooling system, when the operating conditions are time-variant. To accurately predict the impact of cooling system on temperature distribution at different ship's locations/components and vice versa, we coupled our computational tool with vemESRDC developed at Florida State University. We verified our implementation with several benchmark problems. United States. National Oceanic and Atmospheric Administration (Grant N000141410166) 2015-05-13T14:42:47Z 2015-05-13T14:42:47Z 2014 Technical Report http://hdl.handle.net/1721.1/96978 en_US MIT Sea Grant Technical Reports;MITSG 14-18 application/pdf Massachusetts Institute of Technology. Sea Grant College Program
spellingShingle Babaee, Hessam
System-level Modeling of Cooling Networks in All Electric Ships
title System-level Modeling of Cooling Networks in All Electric Ships
title_full System-level Modeling of Cooling Networks in All Electric Ships
title_fullStr System-level Modeling of Cooling Networks in All Electric Ships
title_full_unstemmed System-level Modeling of Cooling Networks in All Electric Ships
title_short System-level Modeling of Cooling Networks in All Electric Ships
title_sort system level modeling of cooling networks in all electric ships
url http://hdl.handle.net/1721.1/96978
work_keys_str_mv AT babaeehessam systemlevelmodelingofcoolingnetworksinallelectricships