Agrivoltaic Ultimate Model — Build a Bankable Business Case for Elevated Agrivoltaic Projects in Minutes, Not Weeks

Description
If you develop, advise on or finance elevated agrivoltaic projects, you know the problem: every new deal requires building a model that handles both the photovoltaic side and the agricultural side simultaneously — calibrating CAPEX assumptions for an elevated structure, modelling the shading impact on generation, deciding how to treat the land revenue, and explaining the whole methodology to a lender or partner who has never seen an agrivoltaic deal before. Standard solar models do not do this. Building from scratch takes weeks.
This model eliminates that problem.

Open it, select your country and scenario, enter your plant size and agricultural configuration — and every output updates automatically. Project IRR, Equity IRR, NPV, payback, DSCR and LLCR. A full 20-year cash flow with panel degradation, OPEX escalation and a complete debt schedule. Agricultural revenue modelled separately and integrated into the cash flow. Ready to present, ready to share, ready to defend.


What makes it different from a standard solar DCF
The agricultural module is the core differentiator. Three revenue modes cover every configuration a developer actually encounters. Zero transfers land use entirely to the farmer and reports the community value as an ESG metric without affecting IRR — useful when the agricultural activity is managed independently. Land Lease gives the developer a fixed rent per hectare per year, inflation-linked, with country-specific benchmarks pre-loaded from CREA, Wood Mackenzie and Aurora data. Direct Revenue models the developer managing the farming activity directly, with a crop database covering ten crop types — wheat, durum wheat, sunflower, soybean, tomato, lettuce, lavender, grass, vineyard and blueberry — each with calibrated yield, price and PAC subsidy assumptions.

The producibility engine handles the structural complexity of elevated agrivoltaic systems specifically. Three modes are available: CF-based for rapid screening using country-calibrated capacity factors, GCR-based for projects where Ground Coverage Ratio and structure height are known — with a shading factor lookup table built from Fraunhofer ISE and EU AgriPV research — and P50 direct input for projects with a site-specific energy yield study. The DC/AC ratio input reflects the specific inverter loading strategies common in elevated agrivoltaic configurations.
The assumptions are calibrated for agrivoltaic economics, not standard solar. The CAPEX assumptions include a country-specific premium over standard fixed-tilt solar — ranging from 20% to 30% depending on scenario — reflecting the additional structural cost of elevated mounting systems. OPEX, debt terms and revenue prices are all calibrated independently for each of the 8 countries across Conservative, Base and Aggressive scenarios, drawing on BNEF H2 2025, SolarPower Europe 2025, Aurora Q1 2026 and Wood Mackenzie Q1 2026.
The optional BESS module evaluates co-located battery storage with a single toggle, loading CAPEX, OPEX, arbitrage revenue and ancillary revenue automatically by country and scenario.


Who this is for
Developers evaluating elevated agrivoltaic projects at early-stage feasibility across European and international markets. Financial advisors preparing investment memoranda or lender presentations for agrivoltaic deals. M&A teams running valuations on agrivoltaic assets where the agricultural revenue stream needs to be modelled explicitly. Anyone who needs a defensible, auditable number fast on a technology where no standard model exists.


Workbook: CONTROL_PANEL · AGV_INPUTS · BESS_INPUTS · AGV_CONFIGURATION · PRODUCIBILITY_ENG · REVENUE_ENGINE · BESS_ENGINE · FINANCIAL_MODEL · DASHBOARD.


For custom versions, country extensions or specific requests, contact us at [email protected]