Estimate the theoretical potential of reducing CO2 emissions by introducing Intermediate Stop Operations (ISO) and reducing flight frequency

Betreuer/in:            Kaushik Radhakrishnan           
Dekanat/Institut:   Institut für Lufttransportsysteme           

E-Mail:   kaushik.radhakrishnan@tuhh.de

Description:
Airlines offer long-haul flights and high frequencies of flights with aircraft designed for much longer
ranges to improve customer choice and increase market shares. Among other things, this goes at the
expense of increased fuel use and consequently, CO
2 emissions. This leads to the question as to what
extent range-optimised aircraft and fuel-optimised flight legs can reduce CO
2 emissions at the air
transport system level. The Clean Sky 2 project REIVON (Reduction of the Environmental Impact of
aviation via Optimisation of aircraft size/range and flight Network) is dedicated to answer this question.
The main objective of REIVON is to investigate to what extent the CO
2 emissions of global aviation
can be reduced via an optimisation of aircraft size/range and flight network. The project will first
identify the theoretical potentials for reducing CO
2 emissions via optimised aircraft, network and
frequency reductions. Hereby, three alternatives for an optimised global air transport system will be
considered:
1. splitting long-haul flights into shorter legs;
2. reducing frequencies to the necessary minimum; and
3. a combination of 1 and 2


Tasks:
The goal of this master thesis to perform the network optimization for the REIVON alternatives and
estimate the potential reduction in CO
2 emissions.
Firstly, familiarise with the existing optimization setup and algorithm for solving the optimization
problem.
Improve the existing network optimization setup to include visualisation, to allow better
representation of the results.
Filter the air traffic data for the base year (2014) and forecasted years (2020-2050), relevant to the
optimization scenarios 1,2 and 3. These data sets will serve as the input for the optimization.
Perform the network optimization for the base year and forecasted year with new aircraft types. Run
different scenarios for all alternatives to accommodate different stakeholder requirements and to
incorporate requirements from Clean Sky 2.
Calculate the theoretical potential and present the results with publication quality.
Potential opportunity to publish in journals and scientific conferences.
Contribute in project meetings and present findings.


Preconditions:
Strong background and understanding of the air transportation system, previous experience with
optimization in general and at network level is a plus.
Motivation and ability to work independently.
Strong analytical skills and can work in a team.
Fluent in English.
Able to work with python, experience with Gurobi is a plus.


Begin and Duration
Start date: Immediately.
Duration: for about 6 months

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