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Articles

A multi-objective design optimisation of eco-friendly aircraft: the impact of noise fees on airplanes sustainable development

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Pages 122-134 | Received 19 Dec 2016, Accepted 08 Nov 2017, Published online: 29 Dec 2017

Figures & data

Table 1. Summary of ACARE goals relative to 2000: comparison between Vision 2020 and Flightpath 2050.

Table 2. Summary of the performed optimisation analysis.

Table 3. Design variables related to the 164-pax aircraft: reference values, lower bounds and upper bounds.

Figure 1. Mission characteristics: geometric altitude hg and kinematic altitude hk = v2/2g as a function of the flight duration.

Figure 1. Mission characteristics: geometric altitude hg and kinematic altitude hk = v2/2g as a function of the flight duration.

Figure 2. Mission characteristics: true airspeed vt and vertical velocity vv = vt sinγ, with γ the ramp angle.

Figure 2. Mission characteristics: true airspeed vt and vertical velocity vv = vt sinγ, with γ the ramp angle.

Figure 3. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at minimising the acoustic emissions ANE and the fuel consumption Wf.

Figure 3. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at minimising the acoustic emissions ANE and the fuel consumption Wf.

Figure 4. Pareto front of multi-objective optimisation aimed at minimising the acoustic emissions ANE and the fuel consumption Wf.

Figure 4. Pareto front of multi-objective optimisation aimed at minimising the acoustic emissions ANE and the fuel consumption Wf.

Figure 5. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at maximising NPV and minimizing fuel consumption Wf.

Figure 5. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at maximising NPV and minimizing fuel consumption Wf.

Figure 6. Pareto front of multi-objective optimisation aimed at maximising NPV and minimising fuel consumption Wf.

Figure 6. Pareto front of multi-objective optimisation aimed at maximising NPV and minimising fuel consumption Wf.

Figure 7. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at maximising NPV and minimising acoustic emissions ANE.

Figure 7. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at maximising NPV and minimising acoustic emissions ANE.

Figure 8. Pareto front of multi-objective optimisation aimed at maximising NPV and minimising acoustic emissions ANE.

Figure 8. Pareto front of multi-objective optimisation aimed at maximising NPV and minimising acoustic emissions ANE.

Figure 9. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at maximising NPV and minimising both acoustic emissions ANE and fuel consumption Wf.

Figure 9. Feasible solutions (normalised with regard to the values related to a comparable currently flying aircraft) of multi-objective optimisation aimed at maximising NPV and minimising both acoustic emissions ANE and fuel consumption Wf.

Figure 10. Pareto front of multi-objective optimisation aimed at maximising NPV and minimising both acoustic emissions ANE and fuel consumption Wf.

Figure 10. Pareto front of multi-objective optimisation aimed at maximising NPV and minimising both acoustic emissions ANE and fuel consumption Wf.

Table A1. Property and liability rules.

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