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SIZING AND PARAMETRIC OPTIMIZATION OF A WASTE HEAT TO POWER PLANT BASED ON TRANSCRITICAL ORGANIC RANKINE CYCLE


Go-down asme-orc2015 Tracking Number 189

Presentation:
Session: Session 12: Thermoeconomics II
Room: 1A Europe
Session start: 15:00 Tue 13 Oct 2015

Van Long Le   long.le-van@outlook.com
Affifliation: University of Liège

Michel Feidt   michel.feidt@univ-lorraine.fr
Affifliation: University of Lorraine

Abdelhamid Kheiri   abdelhamid.kheiri@univ-lorraine.fr
Affifliation: University of Lorraine

Vincent Lemort   vincent.lemort@ulg.ac.be
Affifliation: University of Liège


Topics: - System Design and Optimization (Topics), - Working Fluids (Topics), - I prefer Oral Presentation (Presentation Preference)

Abstract:

In recent years, the transcritical (also called supercritical) organic Rankine cycle (Trans-ORC) has more and more aroused the attention for power generation from low-temperature heat source thanks to the better thermal matching between the heating and the cooling fluids of the high pressure heat transfer process. The absence of isothermal evaporation in transcritical ORC enables the heat source to be cooled down to a lower temperature despite an identical pinch point as in a comparable subcritical cycle. This leads to a greater utilization of the heat source. In other words, the transcritical cycle could produce more power with higher exergy efficiency compared to the subcritical one. This paper aims at sizing a transcritical ORC to recover energy from a cooling circuit of turbine exhaust gas and optimizing the operating conditions of the cycle from a thermoeconomic point of view. Indeed, several potential organic fluids, which satisfy the screening criteria (e.g. safety, environment, thermophysical properties and availability), will be used as working fluid to evaluate the performance and the specific investment capital (SIC) of the plant. The operating conditions (i.e. turbine inlet temperature and pressure, condensing temperature and heat sink outlet temperature) of the plant will also be optimized to find out the most suitable working fluid for the studied cycle.