Reference : Thermo-Economic optimization of waste heat recovery Organic Rankine Cycles
Scientific journals : Article
Engineering, computing & technology : Energy
http://hdl.handle.net/2268/90351
Thermo-Economic optimization of waste heat recovery Organic Rankine Cycles
English
Quoilin, Sylvain mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
Declaye, Sébastien mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
Tchanche, Bertrand F. [Agricultural University of Athens > > > >]
Lemort, Vincent mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > Systèmes énergétiques >]
2011
Applied Thermal Engineering
Pergamon Press - An Imprint of Elsevier Science
Yes (verified by ORBi)
International
1359-4311
Oxford
United Kingdom
[en] thermoeconomics ; optimization ; organic rankine cycle ; waste heat recovery
[en] The present paper focuses both on the thermodynamic and on the economic optimization of a small scale ORC in waste heat recovery application. A sizing model of the ORC is proposed, capable of predicting the cycle performance with different working fluids and different components sizes. The working fluids considered are R245fa, R123, n-butane, n-pentane and R1234yf and Solkatherm. Results indicate that, for the same fluid, the objective functions (economics profitability, thermodynamic efficiency) lead to different optimal working conditions in terms of evaporating temperature: the operating point for maximum power doesn’t correspond to that of the minimum specific investment cost: The economical optimum is obtained for n-butane with a specific cost of 2136 €/kW, a net output power of 4.2 kW, and an overall efficiency of 4.47%, while the thermodynamic optimum is obtained for the same fluid with an overall efficiency of 5.22%. It is also noted that the two optimizations can even lead to the selection of a different working fluid. This is mainly due to additional fluid properties that are not taken into account in the thermodynamic optimization, such as the fluid density: a lower density leads to the selection of bigger components which increases the cost and decreases the economical profitability.
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/90351
10.1016/j.applthermaleng.2011.05.014

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