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EnergyPathway.jl

EnergyPathway is a capacity expansion pathway layer built on top of Nosy.jl.

Nosy describes one optimized energy-system snapshot. EnergyPathway links several Nosy snapshots through time, adding deployment, retirement, lifetime, and investment-cost logic so that a model can describe how installed capacity evolves between years.

using EnergyPathway

What EnergyPathway Adds

  • A Path object containing one Nosy Snapshot per model year.
  • A PathOpt object for discounting, model horizon, default time mesh, and historical capacity.
  • addsnapshot! to register snapshot years as the pathway is built.
  • Dynamic capacity constraints linking each snapshot to the previous state.
  • Deployment and retirement behaviors.
  • Lifetime constraints and automatic renewal logic after the last snapshot.
  • Year-aware cost, capacity, deployment, and retirement metrics.

Requirements

EnergyPathway uses JuMP through Nosy. You need a JuMP-compatible LP/MILP solver. Pass the optimizer constructor when constructing a Path:

using HiGHS

opt = PathOpt(2020:10:2050)
path = Path(HiGHS.Optimizer, opt)

or start with no years and add snapshots explicitly:

using HiGHS

opt = PathOpt()
path = Path(HiGHS.Optimizer, opt)
snap = addsnapshot!(path, 2030)

The same form works with any JuMP optimizer constructor; pass it in place of HiGHS.Optimizer.

Author

EnergyPathway is authored by Guillaume KRIVTCHIK.

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