Cross-carrier coupling
Conversion, storage and transport modelled across carriers in one solve.
Nohm Atlas
One map.
Five systems.
Atlas is the geographic operating surface for Nohm: network reality, land context and model outcomes in one place.
Network intelligence
Five systems. One living map.
Electricity, methane, water, energy liquids and logistics remain distinct, while their dependencies become visible.
Strategic screening visualisation. Basemap/data: Esri, EEA/Copernicus, OpenStreetMap contributors and project notices. PyPSA visuals © PyPSA-Eur Authors, CC BY 4.0.
Connected infrastructure
The system around
the system.
01Electricity
Grid, generation, storage and demand
02Methane
Transmission, supply and conversion
03Water
Resources, treatment and industrial demand
04Energy liquids
Production, terminals and movement
05Logistics
Ports, rail, road and material flows
The substrate / From geography to a model
The part that takes years,
and makes the rest possible.
Atlas brings five infrastructure systems into view. The modelling substrate connects four energy carriers, the resolution of a study and the climate assumptions behind it.
01 / Connected carriers
Four carriers,
modelled together.
Electricity, hydrogen, methane and synthetic fuels, with the interactions between them represented rather than approximated. An electrolyser is a load, a flexibility asset and a hydrogen source at once — the model needs to account for all three.
Sector coupling
Residential, buildings, transport and industry down to end-use.
Energy carriers
- Electricity
- node → unit
- Hydrogen
- node → unit
- Methane
- node → unit
- Synthetic fuels
- node → unit
Choose the level of detail per study, with the connections between carriers kept in view.
02 / Resolution
Granularity you choose,
per study.
Explore Europe at one node per country, then take the same scenario down to unit level where the answer actually turns. Granularity is a property of the run, not a fork of the model — the coarse and fine answers stay comparable.
Build from the map
Draw a geography, set a granularity and build the model section around the question.
Model organisms
Combine, mutate, graft and reproduce scenarios rather than copying folders.
Granularity
- Continental
- 1 node / country
- Zonal
- bidding zones
- Nodal
- unit by unit
Start wide. Add detail where the decision depends on it.
03 / Climate assumptions
Climate as a dimension,
not a footnote.
Multiple climate years from PECD — onshore wind, offshore wind, hydro inflow and temperature profiles — with historical coverage plus SSP2-4.5 forward trajectories.
Test the dry year and the still year alongside the average. Keep climate assumptions attached to the scenario so differences in the results can be explained.
Wind
Onshore & offshore profiles
Hydro
Inflow by catchment
Temperature
Heating & cooling demand
SSP2-4.5
Forward trajectories
Atlas is a decision environment, not merely a map.
See how Nohm answers