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Explore the impact of ORC and ReverCycle on vehicle fuel consumption reduction. Learn about operating modes, fuel economy assessment, and optimal speed ratios.
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Athens, 09/09/2019 5th International Seminar on ORC ASSESSING FUEL CONSUMPTION REDUCTION OF REVERCYCLE A REVERSIBLE MOBILE AIR CONDITIONING/ ORGANIC RANKINE CYCLE SYSTEM Luca Di Cairano1, Wissam Bou Nader2, Florent Breque1, Maroun Nemer1 luca.di_cairano@mines-paristech.fr 1MINES ParisTech, PSL Research University, Center for energy Efficiency of Systems, Palaiseau, FR 2Groupe PSA, Centre technique de Vélizy, Vélizy, FR
Outline • Context • Global warming • Engineenergy balance • ORC in a passenger car • ReverCycle • The concept • Operating modes • Fuel economy • Global dynamic model of the vehicle • ORC model • Optimal speed ratios in ORC mode • ReverCycle fuel economy: methodology • MAC activation time • ReverCycle fuel economy: results • Conclusions • Future Work • References
Global warming In Europe Passenger cars are responsible for 60% of the total transport sector emissions. (Source: European Environment Agency) Regulators are imposing strict emission limits to car manufacturers Transport sector CO2 emissions Time
Engine Energy Balance Rule of thumb Waste Heat BrakePower • Due to this important amount of available energy Waste Heat Recovery systems have gained major interest. • TEG • Turbocompounding • Thermoacoustic • Rankine Cycle
ORC in a passenger car • In a passenger car: • compactness requirements • dynamic working conditions • strong attention to system cost • Automotive ORC development implies: • A low cost and compact design • Assessment of fuel economy on dynamic working conditions • CES concept: ReverCycle
Outline • Context • Global warming • Engineenergy balance • ORC in a passenger car • ReverCycle • The concept • Operating modes • Fuel economy • Global dynamic model of the vehicle • ORC model • Optimal speed ratios in ORC mode • ReverCycle fuel economy: methodology • MAC activation time • ReverCycle fuel economy: results • Conclusions • Future Work • References
The concept MAC ORC Two mutualized components: ReverCycle = MAC +pump + heat exchanger + valves Reversible machine Standard MAC condenser Waste heat source: Engine Coolant • R134a/R1234yf • Automotive scroll compressor can be easily converted into a reversible machine Exergy
ReverCycle operating modes ORC MAC ReverCycle can operate as a MAC or as an ORC. Switching between modes: 2 automatic valves. ORC pump and compressor/expander are mechanically coupled to engine shaft. (Reversing gearbox for expander)
Outline • Context • Global warming • Engine energy balance • ORC in a passengercar • ReverCycle • The concept • Operating modes • Fuel economy • Global dynamic model of the vehicle • ORC model • Optimal speed ratios in ORC mode • ReverCycle fuel economy: methodology • MAC activation time • ReverCycle fuel economy: results • Conclusions • Future Work • References
Global dynamic model of the vehicle Step by step development of a vehicle model. Powertrain model (Tablebasedengine) Engine coolingsystem model (Tablebasedcabinheater)
ORC model ThermoCycle Library (Quoilinet al, 2014) + CoolProp Library (Bell et al, 2014) ReverCycle adds power to the engine shaft = Fuel economy
Optimal speed ratios in ORC mode ORC average cycle efficiency as a function of speed ratios. • A speed ratio has to be defined: • Between pump and engine shaft • Between expander and engine shaft The final choice is a compromise between cycle efficiency and average expander inlet vapor quality (avoid two phase expansion)
ReverCycle fuel economy: Methodology Two initial conditions: Hot start: engine temperature is 85°C Cold start: engine temperature is equal to ambient temperature Reference driving cycle: WLTC • ReverCycle (ORC) is strongly affected by ambient temperature : • Engine warm up • ORC efficiency • Waste heat energy is limited by cabin heater demand • ORC availability is limited by MAC activation time The global vehicle model takes into account these effects
MAC activation time A cabin thermal model (Benouali, 2002) is coupled to a thermal comfort model (Fanger, 1982) to provide the percentage of drivers that will turn on the MAC entering the cabin after one hour thermal soak. Cabin model validation on (Marcos et al, 2014) exp. results Annual simulation on 4 different climatic regions (Paris, Moscow, Valencia, Brasilia).
ReverCycle fuel economy: Results ReverCycle Fullyavailable ORC +20% Fuel economy (E.g. Paris Hot Start 2% ->2.4%) 2 x Weight Highercost Best climaticregion
Outline • Context • Global warming • Engineenergy balance • ORC in a passenger car • ReverCycle • The concept • Operating modes • Fuel economy • Global dynamic model of the vehicle • ORC model • Optimal speed ratios in ORC mode • ReverCycle fuel economy: methodology • MAC activation time • ReverCycle fuel economy: results • Conclusions • Future Work • References
Conclusions • ReverCycle is a low cost and compact solution. • This study was able to: • Assess ReverCycle ORC mode availability (≈80% in a temperate region, ≈ 40% hot region) • Assess the annual average fuel economy on a WLTC ( 1-2% fuel economy) • Define the best climatic region for ReverCycle ROI (temperate region)
Future Work MAC ORC ERC • Add an ejector to ReverCycle MAC/ORC/ERC • To increase WHR activation time • ReverCycle Proof of Concept
References Bell, I. et al. (2014) , ‘ Pure- and Pseudo-Pure Fluid Thermophysical Property Evaluation and the Open-Source Thermophysical Property Library CoolProp’, Ind. Eng. Chem. Res., 53, pp. 2498-2508. Benouali, J., 2002, Etude et minimisation des consommations des systèmes de climatisation automobile, PhDdiss., Ecole des Mines de Paris. Fanger. P.O., 1982, Thermal Comfort. Malabar FL: Robet E. Krieger Publishing Company Marcos, D. et al. (2014) ‘The development and validation of a thermal model for the cabin of a vehicle’, Applied Thermal Engineering. Elsevier Ltd, 66(1–2), pp. 646–656. doi: 10.1016/j.applthermaleng.2014.02.054. Quoilin, S. et al. (2014) , ‘ThermoCycle: A Modelica library for the simulation of thermodynamic systems’, Proceedings of the 10th International Modelica Conference, pp. 683-692.