Scenarios and optimization results for Airport Energy System Investment
收藏资源简介:
This dataset contains all inputs and outputs required to reproduce the airport energy system analysis presented in: Rijal, A., Özsakalli, G., van Lieshout, M., Winthorst, A., Krol, L., and Ursavas, E., “Prioritised electricity export access enables airports to sustain ambitious aviation pathway demand under uncertainty.” The dataset includes processed input data, stochastic scenario instances, and optimization results. The Data folder provides preprocessed flight activity, aircraft classifications, demand profiles, and technology parameters derived from external sources such as OpenSky. The Scenarios folder contains sampled realizations of demand and price trajectories for different airports and pathways (BAU, IF, AC), which serve as inputs to the optimization model. The Results folder contains the corresponding optimization outputs, representing optimal investment pathways under uncertainty for different model configurations. Together, these files enable full replication of the study’s results and figures without requiring regeneration of raw data or rerunning the computationally intensive optimization model. Contents of this upload: Data/ – Processed input datasets (flight data, aircraft classification, demand profiles, technology parameters, pathway inputs: BAU, IF, AC) Scenarios/ – Generated stochastic scenario instances for each airport and pathway (BAU, IF, AC) Results/ – Optimization outputs and aggregated results used for analysis and figure generation



