Reference : DYNAMIC MODELING OF WASTE HEAT RECOVERY ORGANIC RANKINE CYCLE SYSTEMS IN THE AMESIM P...
Scientific congresses and symposiums : Unpublished conference/Abstract
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/202056
DYNAMIC MODELING OF WASTE HEAT RECOVERY ORGANIC RANKINE CYCLE SYSTEMS IN THE AMESIM PLATFORM
English
Guillaume, Ludovic mailto [Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
Ameel, Bernd [Ghent University > Flow, Heat and Combustion Mechanics, > > >]
Criens, Chris [Flanders Make > > > >]
Siera, Ilja [Flanders Make > > > >]
Hernandez, Andres [Ghent University > Department of Electrical energy, Systems and Automation > > >]
De Paepe, Michel [Ghent University > Department of Flow, heat and combustion mechanics > > >]
Lemort, Vincent mailto [Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
14-Sep-2016
4
[1] T. Kuppan, Heat Exchanger Design Handbook, 1st Edition, Marcel Dekker, 2000.
[2] S. Quoilin, I. Bell, A. Desideri, P. Dewallef, V. Lemort, “Methods to Increase the Robustness of Finite-Volume Flow Models in Thermodynamic Systems”, Energies 2014, 7, 1621-1640; doi:10.3390/en7031621.
Yes
Yes
International
EORCC2016
du 14 septembre 2016 au 16 septembre 2016
Queen’s University
Belfast
Irlande
[en] Organic Rankine Cycle ; Waste Heat Recovery ; Dynamic Simulations ; LMS AMESim
[en] ORC waste heat recovery is a very promising technology for reducing fuel consumption and consequently the CO2 emissions of future heavy-duty trucks. Because of the transient nature of the heat sources encountered on a truck, dynamic simulations are an essential part of the design process of ORC systems for truck applications. Dynamic models are useful for component design, control design and transient evaluation of ORC systems.
To ease the burden of building numerous dynamic models of different candidate ORCs while the design process is ongoing, a library of generic dynamic models of ORCs is built in this work. These models work in synergy with a steady-state ORC design tool in which is added a function to automatically populate the parameters of the dynamic models.
In this work, the dynamic model library and their parameterization process in LMS AMESim are described. The platform is largely used in automotive industry and offers a variety of libraries: Engine, Control, Two-Phase Flow, etc.
Finally, the dynamic models are compared against the steady-state models and experimental data.
Laboratoire de thermodynamique
Energy conscious design for waste heat recovery - Flanders Make
Researchers ; Professionals
http://hdl.handle.net/2268/202056
http://eorcc.org/downloads/

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