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Exergo-Technological Explicit Selection Methodology for Vapor Cycle Systems Optimization for Series Hybrid Electric Vehicles

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dc.contributor.author Bou Nader, Wissam
dc.contributor.author Mansour, Charbel
dc.contributor.author Dumand, Clément
dc.contributor.author Nemer, Maroun
dc.contributor.editor Teixeira, José Carlos
dc.date.accessioned 2020-10-08T19:01:53Z
dc.date.available 2020-10-08T19:01:53Z
dc.date.copyright 2018 en_US
dc.identifier.isbn 9789729959646 en_US
dc.identifier.uri http://hdl.handle.net/10725/12235
dc.description.abstract Significant research efforts are considered in the automotive industry on the use of low carbon alternative fuels in order to reduce the carbon dioxide emissions and to improve the fuel economy of future vehicles. Some of these fuels, such as the solid fuels for example, are only compatible with external combustion machines. These machines are only suitable for electrified powertrains relying on electric propulsion, in particular series hybrid electric vehicles (SHEV) where fuel consumption strongly relies on the energy converter performance in terms of efficiency and power density, as well as on the deployed energy management strategy. This paper investigates the potential of fuel savings of a SHEV using a vapor cycle machine (VCM) system as energy converter substitute to the conventional internal combustion engine (ICE). An exergo-technological explicit analysis is conducted to identify the best VCM-system configuration. A Regenerative Reheat Steam Rankine Cycle with condenser reheat and turbine reheat (RReCRTRe-SRC) system is prioritized, offering high efficiency, high power density and low vehicle integration constraints among the investigated systems. A plug-in SHEV model is developed and energy consumption simulations are performed on a worldwide-harmonized light vehicles test cycle (WLTC). Dynamic programing is used as global optimal energy management strategy. A sensitivity analysis is also carried out in order to evaluate the impact of the battery size on the fuel consumption. Fuel consumption simulation results are compared to ICE on same vehicle powertrain. Results show +2% to +3.5% additional fuel consumption, on self-sustaining SHEV, with the RReCRTRe-SRC as auxiliary power unit (APU) compared to ICE. Consequently, the selected VCM-APU presents a potential for implementation on SHEVs with zero carbon alternative fuels. en_US
dc.language.iso en en_US
dc.publisher University of Minho en_US
dc.subject Energy systems en_US
dc.title Exergo-Technological Explicit Selection Methodology for Vapor Cycle Systems Optimization for Series Hybrid Electric Vehicles en_US
dc.type Conference Paper / Proceeding en_US
dc.author.school SOE en_US
dc.author.idnumber 201001655 en_US
dc.author.department Industrial and Mechanical Engineering en_US
dc.description.embargo N/A en_US
dc.publication.place Guimaraes en_US
dc.keywords Exergy analysis en_US
dc.keywords Rankine cycles en_US
dc.keywords Series hybrid electric vehicles en_US
dc.keywords Vapor cycle machine. en_US
dc.description.bibliographiccitations Includes bibliographical references en_US
dc.identifier.ctation Bou Nader, W., Mansourb, C., Dumandc, C., & Nemerd, M. (2018). Exergo-Technological Explicit Selection Methodology for Vapor Cycle Systems Optimization for Series Hybrid Electric Vehicles. In 31st International Conference on Efficiency, Cost, Optimisation, Simulation and Environmental Impact of Energy Systems (ECOS 2018). en_US
dc.author.email charbel.mansour@lau.edu.lb en_US
dc.conference.date 17-21 June, 2018 en_US
dc.conference.place Guimarães, Portugal en_US
dc.conference.subtitle proceedings of the 31st International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems en_US
dc.conference.title ECOS 2018 en_US
dc.identifier.tou http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php en_US
dc.identifier.url https://www.researchgate.net/publication/333929743_Exergo-Technological_Explicit_Selection_Methodology_for_Vapor_Cycle_Systems_Optimization_for_Series_Hybrid_Electric_Vehicles en_US
dc.publication.date 2018 en_US
dc.author.affiliation Lebanese American University en_US


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