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Our Approach & Offerings

The Agrivoltaic Intelligence Platform for Investors, Farmers & Engineers.

DualEnergy brings together physics-based simulation, AI-driven crop modelling, and real-time adaptive tracking — delivering bankable pre-construction studies and autonomous site operations that maximise dual revenue from day one.

Agrivoltaic Infrastructure
Active Site Simulation
LAT: 41.9028° N | LON: 12.4964° E
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DualEnergy Platform Architecture

Complete Lifecycle Coverage

From initial feasibility to operational excellence—integrated platform for every stage

8 Analysis Phases

PRE-CONSTRUCTION TOOL

Input Phase for Simulation Tool

Bankable feasibility studies for investors, lenders, and engineering offices. 8-module sequential workflow delivering investment-grade reports.

Microclimate Digital TwinERA5 + GAEZ
Crop Yield PredictionCultivar Choice
PV Performance SimPV Engine
Design OptimizationBayesian Algorithm
Risk AnalysisMonte Carlo 10k
Machine Learning ModuleNeural Network
Financial DCF AnalysisInvestment Grade
ESG Impact AssessmentSFDR Art. 9
Grade: Bankable
Phases 01-08

Operations & Monitoring

Real-time Asset Tracking

Real-time asset performance tracking with predictive controls. Maximize returns while ensuring ESG compliance.

Live performance dashboardReal-time HMI
Sensor integration & IoTLoRaWAN
AI-adjusted forecastingWeather Forecast
Automated control (MPC)SCADA / Control
Deviation alertsAnomaly Detection
ESG reporting automationCompliance Engine
Real-time DataAPI AccessWhite-label
Active Ops
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Phases 01-03 - PRE CONSTRUCTION TOOL

Platform Ingestion Interface

SIMULATION INPUT SET

Establishing the baseline environmental and structural constraints. This data feeds directly into the recursive microclimate digital twin engine.

01

Climate & Terrain

Phase 1 Foundation

0.25° Spatial Resolution | 30m DEM
Sun Path
Wind Rose
DEM Slope
Soil WHC
Inputs
ERA5 (30y)GAEZ SoilSTRM DEM
Outputs
Hourly Weather FileGeoreferenced Surface
02

PV Design

Phase 2 Design

20K+ Component Library | System Integration
Mounting Type
Row Spacing
Module Height
Tilt Angle
Module Power
Inverter Ratio
Orientation
Tracker Type
Inputs
CEC DatabaseModule SpecsInverter Curves
Outputs
System LayoutProduction Sim.
03

Farmer Input Configurator

Agronomic Baseline

35+ crops to simulate
Crop Selection
Irrigation Schedule
Machine Clearance
Fertilizer
Planting Date
Inputs
Crop VarietyMachine SpecsWater Consumption
Outputs
Cultivar MappingOperational Constraint
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Phases 04-08 + Optimization - PRE CONSTRUCTION TOOL

Digital Twin Processing

Core Simulation Engine

Microclimate physics engine feeds crop growth model. Recursive optimization iterates until yield threshold compliance is achieved.

04

Digital Twin Simulation

Physics Engine

PV Engine + ERA5 | Hourly Res.
Irradiation
Wind Dynamics
Air Humidity
Temperature
Soil Humidity
Soil Temperature
Inputs
Climate DataPV LayoutTerrain Model
Outputs
Shade MatrixTemp FieldHumidity FieldWind Matrix
05

Crop Growth Model

Proprietary Physics-Informed Machine Learning

Real Field Validation | 93.4% accuracy for 35 crops
Yield Prediction87.2%
EU Threshold
PASS
Inputs
Microclimate DataSoil Prop.Crop Genetics
Outputs
Yield PredictionGrowth Timeline
—

Optimization Engine

Recursive Iterator

10,000 Iterations | Bayesian Algorithm
>25
Design Parameters
Maximize IRR @ >80% Yield
Inputs
Twin OutputYield ModelConstraints
Outputs
Optimal ConfigPareto FrontPhenological Loop
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PHASES 06-08 - PRE CONSTRUCTION TOOL

Investment Verification Interface

Bankable Agrivoltaic Set

Translating high-fidelity physics simulations into investment-grade financial instruments and regulatory compliance documentation.

06

Financial DCF

Investment Engine

25-Year Granular Cash Flow Model
REVENUE STREAMSDUAL
LCOE REDUCTION~18.5%
PAYBACK7.2 Y
Inputs
CapEx/OpExEnergy SalesCrop Revenue
Outputs
NPV / IRR / LCOEPayback Analysis
07

Monte Carlo Risk

Phase 6 Stochastic

10,000 Stochastic Iterations
IRR ProbabilityP90 Target
Digital Twin Verification
Physics SyncOK
Inputs
GHI Var.Price RiskYield Vol.
Outputs
P50/P90 ProductionVaR Metrics
08

ESG & Deliverables

Bankable Package

Investment Grade Memorandum
CO₂ Avoided2,450 t/y
EU TaxonomyOK
Inputs
EU TaxonomySFDR Art. 9LCA Data
Outputs
45-Page PDF ReportKMZ Exports
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OPERATIONS & MONITORING

Operation and Monitoring Tool

Tracker angle automatically adjusts to satisfy plant needs at every phenological stage while maximizing energy.

+3.2%
Energy Yield
80%
Crop yield respected
24/7
Automated
01
DESIGN
Intelligence Hub — AI-Powered Layout
Optimal PV array configuration for your specific site
Crop-specific layout recommendations
Pre-construction feasibility analysis
In Development
02
DEPLOY
Sensor-Rich Installation — 25+ Sensors
Irradiance
Temperature
Soil AND Crop
Weather
Developed AND Tested
03
OPTIMIZE
Smart Tracking — MPC Algorithm
Phenological Input
Sync: 15min
Current StageVegetative III
Target Angle42.5° S
Dynamic angle adjustment based on crop phenological stage
Weather-adaptive based on forecasts
Comprehensive performance reports
Algorithm Developed
CONTINUOUS LEARNING — Operational data feeds back to improve design intelligence
WHAT YOU GET
Higher Revenue
Dual Revenue
Zero Hassle
Set AND Forget
Full Transparency
24/7 Monitoring
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Strategic Integration

Enterprise Outcomes

LCOE Reduction

Shared infrastructure and dual revenue streams lower Levelized Cost of Energy by up to 18.5%.

Land Efficiency (LER)

Land Equivalent Ratio exceeding 1.6, delivering 60% more value per acre than monoculture applications.

ESG Compliance

Direct contribution to Scope 2/3 targets while preserving biodiversity and agricultural heritage.