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Helicopter Engine Optimization for Minimum Mission Fuel Burn Alexiou, Pons, Cobas, Mathioudakis & Aretakis. Laboratory of Thermal Turbomachines National Technical University of Athens. Acknowledgements. C ollaborative & R obust E ngineering using
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Helicopter Engine Optimization for Minimum Mission Fuel Burn Alexiou, Pons, Cobas, Mathioudakis & Aretakis Laboratory of Thermal Turbomachines National Technical University of Athens
Acknowledgements Collaborative & Robust Engineering using Simulation Capability Enabling Next Design Optimisation
Contents • INTRODUCTION • MODELLING ASPECTS • Simulation Environment • Engine Performance Model • Helicopter Performance Model • Mission Analysis • OPTIMIZATION METHODOLOGY • RESULTS • SUMMARY & CONCLUSIONS
Introduction Fuel Impact On Operating Costs (http://www.iata.org/pressroom/facts_figures/fact_sheets/pages/fuel.aspx)
Introduction Global Man-Made CO2 Emissions (ACARE Beyond Vision 2020)
Introduction Helicopter Uses
Introduction • Before this Work • Trajectory optimization of helicopter for minimum mission fuel burn • Objective of this work • To develop a generic methodology suitable for the preliminary engine design phase of optimizing a helicopter engine for minimum mission fuel burn • Requirements • Helicopter and engine performance models • Mission analysis capability
Contents • INTRODUCTION • MODELLING ASPECTS • Simulation Environment • Engine Performance Model • Helicopter Performance Model • Mission Analysis • OPTIMIZATION METHODOLOGY • RESULTS • SUMMARY & CONCLUSIONS
Simulation Platform PROOSIS (PRopulsion Object-Oriented SImulation Software) • Object-Oriented • Steady State • Transient • Mixed-Fidelity • Multi-Disciplinary • Distributed • Multi-point Design • Off-Design • Test Analysis • Diagnostics • Sensitivity • Optimisation • Deck Generation
Simulation Platform • TURBO library of gas turbine components • Industry-accepted performance modelling techniques • Respects international standards in nomenclature, interface & OO programming
Engine Performance Take-off power rating (design point) at sea-level standard conditions
Helicopter Performance • Total helicopter power • Main rotor power • Induced • Profile • Fuselage • Potential energy change • Tail rotor power • Customer power extraction • Gearbox power losses
Helicopter Performance MTOW / SL / STD SR = Vx / Wfuel
Oil & Gas • SAR 1800 1600 1400 1200 1000 Altitude [m] 800 600 400 200 0 0 10 20 30 40 50 -200 Time (min) Mission Fuel Calculation Mission definition H/C Specification e.g. velocity, time for each segment • Take-Off weight • air bleed/power off-take 2 Air Intake losses Exhaust losses 1 H/C PERFORMANCE MODEL MISSION PROFILE H/C operating conditions 3 H/C new weight 4 6 7 ENGINE PERFORMANCE MODEL H/C requirements (power, air cabin off take, Nrotor) Fuel Flow Rate 5 Mission Fuel
Mission Definition Cruise with Vbr for 400 km Descent with 12.5 m/s Climb to 1000m with Vbe & Vz,max
Contents • INTRODUCTION • MODELLING ASPECTS • Simulation Environment • Engine Performance Model • Helicopter Performance Model • Mission Analysis • OPTIMIZATION METHODOLOGY • RESULTS • SUMMARY & CONCLUSIONS
Optimization Methodology -30% < W2 < 30%, -30% < P22Q2 < 50% -20% < P3Q24 < 100% Optimization parameters & their range Assumed variation of compressor & turbine efficiency and engine weight with change in W2 Variation of turbine cooling flows with Tt41
Optimization Calculation: Flow Chart Establish baseline engine design and helicopter mission
Contents • INTRODUCTION • MODELLING ASPECTS • Simulation Environment • Engine Performance Model • Helicopter Performance Model • Mission Analysis • OPTIMIZATION METHODOLOGY • RESULTS • SUMMARY & CONCLUSIONS
Contents • INTRODUCTION • MODELLING ASPECTS • Simulation Environment • Engine Performance Model • Helicopter Performance Model • Mission Analysis • OPTIMIZATION METHODOLOGY • RESULTS • SUMMARY & CONCLUSIONS
Summary & Conclusions • A procedure has been proposed that allows the designer to optimize the engine cycle for minimum fuel burn of a helicopter mission. The approach takes into account changes in the turbomachinery component efficiencies and engine weight due to engine inlet flow rate changes. Limits are imposed for turbine rotor inlet temperature, surge margin and pressure ratio. Turbine cooling/sealing flows are established according to the turbine rotor inlet temperature. • For the specific engine-helicopter-mission combination, the total fuel burn benefit ranged from 5.8% to 9.4%, depending on the maximum value of turbine rotor inlet temperature that can be tolerated. • The proposed approach is generic allowing the optimization of the engine as well as the helicopter for different combinations of engines and helicopters and different missions or combinations of missions and according to the objectives and limitations set by the designer.
THANK YOU Laboratory of Thermal Turbomachines National Technical University of Athens