Agrivoltaic Ultimate Model + Portfolio Manager — From Single Agrivoltaic Project to Full Pipeline in One Purchase
Originally published: 16/05/2026 07:29
Publication number: ELQ-70072-1
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Agrivoltaic Ultimate Model + Portfolio Manager — From Single Agrivoltaic Project to Full Pipeline in One Purchase

The Agrivoltaic Ultimate Model and Portfolio Manager bundled together. Build a bankable elevated agrivoltaic business case for any of 8 markets

Description
This bundle combines two complementary tools that professionals working on agrivoltaic pipelines end up needing together. The Agrivoltaic Ultimate Model handles the project-level analysis — a fully calibrated 20-year DCF for elevated agrivoltaic projects across 8 countries and 3 scenarios, with three agricultural revenue modes, a GCR-based shading engine and optional co-located BESS. The Portfolio Manager handles the portfolio-level view — aggregating up to 50 projects across all technologies into a single dashboard with weighted IRR, total NPV, LCOE, DSCR and a technology breakdown that includes Agri-PV and Agri-PV+BESS as distinct categories.
Used separately, each tool solves half the problem. Used together, they cover the full workflow from individual project evaluation to portfolio reporting.


How they work together
You run your agrivoltaic deal in the Agrivoltaic Ultimate Model. Once you have your Project IRR, Equity IRR, NPV, Revenue, OPEX and Debt ratio, you transfer those outputs directly into a row in the Portfolio Manager — selecting Agri-PV or Agri-PV+BESS as the project type. The portfolio KPIs update immediately. No reformatting, no manual aggregation, no formula rebuilding — the output structure of the project model maps directly to the input structure of the portfolio tracker.
As you add more projects — Solar PV, Wind, BESS, Offshore Wind — the Portfolio Manager accumulates them all, keeping the portfolio view current without any extra work.


What makes the Agrivoltaic model different from a standard solar DCF
The agricultural module is the core differentiator, because elevated agrivoltaic projects have a revenue structure that no standard PV model handles correctly. Three modes cover every configuration a developer actually encounters. Zero transfers land use entirely to the farmer — the agricultural value is reported as an ESG metric without affecting project IRR, which is the right approach when the farming activity is managed independently and the developer has no contractual claim on it. 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 — ranging from €300/ha/year in Australia to over €1,000/ha/year in Germany and Nordic markets. Direct Revenue models the developer managing the farming activity directly, drawing from a crop database of ten species — 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 specifics of elevated configurations. GCR-based mode uses a shading factor lookup table built from Fraunhofer ISE and EU AgriPV research, interpolating across Ground Coverage Ratio from 0.20 to 0.50 and structure heights from 2 to 6 metres — because a 35% GCR at 4 metres clearance produces a different generation profile than the same GCR at 2 metres, and the model reflects that. CF-based mode uses country-calibrated capacity factors for rapid screening. P50 direct input accepts site-specific yield studies when available.
CAPEX is pre-loaded with an elevated structure premium over standard fixed-tilt solar — 20% in the Aggressive scenario, 25% in Base, 30% in Conservative — reflecting the additional cost of raised mounting systems that allow agricultural machinery to pass underneath. This premium is applied on top of the country-specific solar CAPEX baseline, so the all-in agrivoltaic cost is always correctly positioned relative to a standard PV reference.


Who this is for
Developers evaluating elevated agrivoltaic projects at early-stage feasibility across European and international markets, where both the PV and agricultural revenue streams need to be modelled explicitly. Financial advisors preparing lender presentations for agrivoltaic deals where the revenue stack — PPA, merchant, land lease or direct crop revenue — needs to be structured and defended. M&A teams running valuations on agrivoltaic assets where the agricultural component is a material part of the value proposition. Anyone managing a mixed renewable pipeline that includes agrivoltaic alongside conventional solar, wind or storage.


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


Workbook Portfolio Manager: Istruzioni · INPUT PROGETTI · Dashboard · Analisi Tecnologia.


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

This Best Practice includes
2 Excel Models, 2 PDF Guides

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Further information

This bundle enables developers, advisors and investors to evaluate individual elevated agrivoltaic projects across 8 international markets and aggregate their results into a consolidated portfolio view without building either tool from scratch. The Agrivoltaic Ultimate Model produces Project IRR, Equity IRR, NPV, DSCR and LLCR from a fully integrated 20-year cash flow with three agricultural revenue modes, a GCR-based shading engine, optional BESS and scenario comparison across Conservative, Base and Aggressive assumptions. The Portfolio Manager aggregates those outputs — alongside projects of any other technology — into a CapEx-weighted portfolio IRR, total NPV, LCOE per project, DSCR traffic light and a technology breakdown that includes Agri-PV and Agri-PV+BESS as distinct groups, across up to 50 active projects.

This bundle is best suited to professionals evaluating elevated agrivoltaic projects and simultaneously managing or reporting on a broader renewable energy pipeline that includes agrivoltaic alongside conventional technologies. It works particularly well when the agricultural revenue treatment is a structuring decision — for example, whether to retain a direct crop revenue stream or offer a land lease to a farming operator — and the financial impact of each option needs to be tested before committing to a structure. It is also well suited to advisory and financing contexts where both a project-level deliverable and a portfolio-level view are required for the same engagement, and to markets where agrivoltaic-specific incentives or land lease benchmarks are material inputs to the investment case.

This model is designed specifically for elevated agrivoltaic structures and does not reflect the economics of standard ground-mounted solar, floating PV or non-elevated agrivoltaic configurations where shading is negligible. It should not be used as the sole basis for a final investment decision — it must be supplemented with site-specific irradiation data, agronomic assessment, grid connection costs and permitting review. It is not appropriate for markets outside the 8 pre-loaded countries without manual recalibration of the assumption sets. For portfolios that do not include any agrivoltaic projects, the standalone Portfolio Manager paired with the relevant single-technology model is the more appropriate purchase.


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