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46 changes: 46 additions & 0 deletions benchmarks/iesa-opt/meta data.yaml
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## (optional) link to the modelling framework repo used to generate the benchmark(s) (e.g. https://github.com/PyPSA/pypsa-eur)
benchmarks:
Benchmark_name: 1-3h-1y
Short description: Energy system model of the Netherlands (1n = 1 node) with 3-hourly resolution over one year (2050) with netzero climate target.
Modelling framework: IESA-Opt
Model name: IESA-Opt-NL
Version: 20251002
Contributor(s)/Source: TNO, Utrecht University
Problem class: LP
Application: Capacity expansion, Operational
Sectoral focus: Sector-coupled
Sectors: Supply, Electric, Heating, Transport, Commercial, Residential, Industrial
Time horizon: Single-stage (1 year)
MILP features: none
Sizes:
- Name: 1-3h-1y
Size: # Automatically assigned when running the benchmark
URL: https://filesender.surf.nl/?s=download&token=1100e202-e0eb-4f0c-af30-037cf74d1c81
Temporal resolution: 2920 timeslices (3-hourly for 1 year)
Spatial resolution: 1 node (The Netherlands)
Realistic: true
Realistic motivation: Designed for long-term energy planning and policy advice
Num. constraints: # Automatically assigned when running the benchmark
Num. variables: # Automatically assigned when running the benchmark
Benchmark_name: 20-3h-1y
Short description: Energy system model of the Netherlands (20n = 20 nodes) with 3-hourly resolution over one year (2050) with netzero climate target.
Modelling framework: IESA-Opt
Model name: IESA-Opt-NL
Version: 20251002
Contributor(s)/Source: TNO, Utrecht University
Problem class: LP
Application: Infrastructure & Capacity expansion , Operational
Sectoral focus: Sector-coupled
Sectors: Supply, Electric, Heating, Transport, Commercial, Residential, Industrial
Time horizon: Single-stage (1 year)
MILP features: none
Sizes:
- Name: 20-3h-1y
Size: # Automatically assigned when running the benchmark
URL: https://filesender.surf.nl/?s=download&token=a198561f-3b98-4d48-9c1e-36c4ffdc90be
Temporal resolution: 2920 timeslices (3-hourly for 1 year)
Spatial resolution: 20 nodes (The Netherlands)
Realistic: true
Realistic motivation: Designed for long-term energy planning and policy advice
Num. constraints: # Automatically assigned when running the benchmark
Num. variables: # Automatically assigned when running the benchmark