Optimisation of RNAV noise and emission abatement standard instrument departures

Abstract

In an effort to reduce the negative impact of civil aviation on the human environment, trajectory optimisation techniques have been used to minimise the single event impact of noise and gaseous emissions of departures on communities in the vicinity of airports. For this purpose, the earlier developed trajectory optimisation tool NOISHHH has been adapted to design departure trajectories optimised for environmental criteria, based on area navigation. The new version of NOISHHH combines a noise model, an emissions inventory model, a geographic information system and a dynamic trajectory optimisation algorithm to generate flight paths with minimised environmental impact. Operational constraints have been introduced to ensure that the resulting flight paths are fully compliant with the guidelines and regulations that apply to the design of standard instrument departures and the use of area navigation. To illustrate the capabilities of the new version of NOISHHH, two numerical examples are presented, which are both redesigns of standard instrument departures currently in use at Amsterdam Airport Schiphol.

Efficient trajectory parameterization for environmental optimization of departure flight paths using a genetic algorithm

“…The resulting corrected emissions index for NO x is used in this study to determine the total amount of NO x emitted. Further details regarding the employed fuel and emissions model can be found in Hartjes et al 3 Aside from the total fuel burn and noise impact, the amount of local NO x emissions is adopted as an optimization criterion in this study. Local emissions are emissions that have a direct impact on the human environment, and are defined as emitted below 3000 ft above ground level (AGL).…”

“…Prats et al 2 applied numerical optimization techniques in an effort to minimize the noise impact in a number of discrete highly noise-sensitive areas. Focusing directly on community noise impact, Hartjes et al 3 explored noise-optimized departures using gradient-based optimization techniques, whilst Hogenhuis et al 4 conducted a similar study pertaining to arrivals. The study of Fernandes de Oliveira and Bu¨skens 5 focused on flight profile optimization along recorded ADS-B ground tracks for flights departing from Frankfurt airport.…”

Operating cost sensitivity to required time of arrival commands to ensure separation in optimal aircraft 4D trajectories

“…Both issues are directly related, since a less steep function at the switching point (and thus smoother for the NLP Solver) results in a bigger transition effect, and vice versa. Hence, a trade-off must be sought (Hartjes et al, 2010).…”

Development of a Multi-Event Trajectory Optimization Tool for Noise-Optimized Approach Route Design

“…In response to the need for more environmentally friendly flight paths, a tool named NOISHHH has been developed at the TU Delft that enables to generate routings and flight-paths for both inbound and outbound flights that minimize the environmental impact in the residential communities surrounding the airport, while satisfying all imposed operational and safety constraints [1][2][3] . The most recent version of NOISHHH offers the possibility to calculate noise-optimized RNAV routes that can be programmed into the Flight Management System (FMS) currently available in most aircraft cockpits 4,5 . It must be noted though that the NOISHHH tool only considers single event flyovers and does not assess the community noise impact based on an aggregation over all aircraft operations for a particular time period.…”

“…For this reason the TU Delft has embarked on a research effort to develop a multievent version of NOISHHH that seeks to synthesize RNAV routes that minimize a cumulative measure of noise, 1 MSc student 2 PhD candidate 3 Associate Professor, Faculty of Aerospace Engineering; Associate Fellow AIAA. 4 PhD candidate; R&D engineer, Environment and Policy Support. taking into account the total noise effect of all flight movements over a specified period.…”