Clean Aircraft🔗
Current challenge in the aerospace industry is to develop technologies enabling cleaner aviation. Clean aircraft concepts go from fully electrified, hybrid-electric (series or parallel) to alternative fuels such as Sustainable Aviation Fuels (SAF) or Hydrogen.
Performance Overview🔗
In this tutorial, aircraft performance is divided into 7 categories:
- Takeoff and landing
- Climb
- Range
- Speed
- Maneuverability
- Stability
- Fuel savings
Electrification🔗
In this section we will edit the needed models from our Aircraft Dynamics Library in order to add the electric functionality.
Integration🔗
In the previous steps we have created the backbone elements to electrify our aircraft, now we need to implement and connect them.
Comparison Hybrid Electric vs Conventional🔗
Execute ConstantAltitudeCruise_electric with the same process as shown in Weight vs Range Simulation section of this tutorial, but take into account that now we have 100 kg of weight on our electrical system, therefore the variation of the fuel mass should reflect upon this in order to not exceed the MTOW.
Conclusion🔗
With the idealized assumptions made in this tutorial, it is clear the gain of including hybrid electric propulsion system. We save fuel and obtain range without sacrificing cargo/passengers. In real life we could expand the presented work in mainly three areas,
References🔗
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Jack D. Mattingly, William H. Heiser, David T. Pratt: Aircraft Engine Design, Second edition, American Institute of Aeronautics and Astronautics, 2002.
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Dieter Scholz, Ravinka Seresinhe, Ingo Staack, Craig Lawson: Fuel consumption due to shaft power off-takes from the engine, Workshop on Aircraft System Technology, Hamburg, Germany, 2013.
Integrate Jet Propulsion data with an Aircraft Dynamics model🔗
Modelon’s Jet Propulsion Library offers capabilities to compute and store on-design (sizing) data, like from Top Of Climb or Cruise, given an intended operating condition and performance.
These data files can be stored, modified, and re-used in different models and then used as the sizing data when computing the performance in a dynamic simulation starting from an arbitrary operating point, for example when simulating take-off or landing.
In the following sections, this will be demonstrated by computing sizing data in a gas turbine rig-model from Jet Propulsion Library and then computing the performance in a system model representing a high performance aircraft from Aircraft Dynamics Library. But you can also choose to do it on your own model.
Generate OnDesign data🔗
Required libraries: Modelon Base, Jet Propulsion
If you already have a model from which you like to export on-design data, proceed to step 3.
Import to an off-design operating point🔗
In this section, we will import the previously generated on-design sizing data and run the gas turbine at a completely different operating point.
Summary🔗
In this tutorial, we have shown how to compute the sizing in a gas turbine rig model and then use this information in a dynamic simulation.