Revenue Approximation
FCA & Grid Fee Sensitivities
Python (git)Coming soon
The FCA & Grid Fee Sensitivity tool quantifies the revenue and DSCR impact of different grid connection conditions — as an interactive heatmap and tabular analysis.
What's included
Sensitivity matrix: revenue delta per FCA type and severity (ramp-rate limit, export limit)
Combination scenarios: single FCAs vs. stacked FCA combinations
AgNes grid fee scenarios: capacity price only, capacity + energy price (Low/High)
DSCR impact table: effect on debt service coverage per scenario
Benchmark against reference project without FCAs (Revenue Index basis)
Inputs
Ramp-rate type (30s / 5min / no limit)
Export limit (static MW / dynamic / none)
AgNes scenario (none / cap only / cap + energy low / cap + energy high)
BESS configuration (Standalone / Green Storage)
Outputs
Heatmap: revenue delta (€/MW·a) per FCA combination
DSCR sensitivity table under different FCA scenarios
Ranking of FCA types by revenue impact
Recommendation for optimal grid connection negotiation
For whom
Advanced users modelling specific grid connection conditions — for due diligence and lender discussions
Model your own projects
Apply the methodology directly to your projects — with personalized scenarios, site parameters, and auditable results.