Understand when gas, power and carbon prices change the relative economics of major hydrogen routes without reducing the comparison to a static ranking.
3 · What it produces
Variable cost, modelled LCOH, operational intensity, CO₂/power/gas/PPA thresholds and sensitivities.
The images come from demonstration runs included in the attached repository and are shown without dates to illustrate workflow structure, method and evidence.
4 · How it works
From data to output, with explicit controls.
1Energy prices and scenarios
2SMR / CCS / electrolysis balances
3Variable cost and LCOH
4Carbon intensity by boundary
5Break-even and sensitivities
6Snapshot, provenance and publication
Transferable pattern: Physical balance + prices + carbon policy + sensitivity.
5 · Data, AI/ML/RPA and method
Data and features
EEX→BFE TTF with quality/provenance gate, Italian bidding-zone day-ahead power via Energy-Charts→euenergy/ENTSO-E, EUA and grid-carbon-intensity scenario; typed HHV/LHV SMR/CCS/electrolysis parameters
Calculation / inference
deterministic calculation; Current Variable Cost and LCOH; state-aware break-even
Validation
physical/dimensional invariants, sourcing coherence, lineage, snapshot replay
Stack
Python, NumPy, pandas, SciPy, Matplotlib, SQLite, PyYAML
6 · Technical dossier
Operating conditions and declared limitations.
| Compute cadence | Mon–Fri 10:50 Europe/Rome |
|---|---|
| Planned publication | IT Mon 12:15 + Thu 11:15; EN Mon 20:15 + Thu 19:30 |
| Possible applications | route economics, make-or-buy scenarios and decarbonisation |
| Research use | emissions boundaries, sensitivity and break-even robustness |
| Required condition | PPA is a scenario; no site-specific cost representation |
| Failure mode | mistaking PPA scenarios or mismatched emissions boundaries for observed facts |
Interpretation boundary
The PPA is a configured scenario and emissions boundaries must remain consistent. The workflow does not represent plant-specific CAPEX, efficiencies or contracts.
7 · Verification and further reading