Airport Infrastructure Planning Using Multi-Stage Stochastic Programming

Research output: NRELPresentation


The Athena project, funded by the Department of Energy, has worked to identify the critical infrastructure at Dallas Fort Worth (DFW) Airport which influences mobility between the airport and the surrounding city of Dallas. Using scalable methods that can leverage HPC resources we have developed a multi-stage stochastic infrastructure expansion model for determining parking and curb modifications to the DFW Airport over a 20-year horizon. Additionally, we have explored the impacts of congestion pricing in conjunction with infrastructure modifications. Our multi-stage stochastic model is implemented using the mpi-sppy software and solved in parallel using progressive hedging on the National Renewable Energy Laboratory's HPC system Eagle. In this talk we present results from solving this model at scale.
Original languageAmerican English
Number of pages39
StatePublished - 2021

Publication series

NamePresented at the INFORMS Annual Meeting, 24-27 October 2021, Anaheim, California

NREL Publication Number

  • NREL/PR-2C00-80951


  • airport planning
  • infrastructure planning
  • multi-stage stochastic optimization


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