The Solution

Energy Forest is an integrated agrivoltaic system combining four functional layers on a single site, each generating independent value while reinforcing the others.

• Layer 1: Solar energy generation via elevated bifacial PV panels at 3.5 m height.
• Layer 2: Shade-optimized crop production beneath the panel array.
• Layer 3: AI-powered digital twin platform — predictive irrigation, microclimate simulation, and performance analytics.
• Layer 4: Public visitor experience: shaded forest walkways, family rest areas, farm-to-table engagement, and live data displays.

2.1 Panel Configuration — Why Elevated Bifacial

Panel configuration is a critical design decision with direct consequences for both energy yield and crop performance. The February 2026 MDPI Sustainability review critically examines fixed-tilt, tracking, bifacial, semi-transparent, and vertical configurations and their differential effects on crop productivity and microclimate in Middle Eastern conditions. For vegetable production in hot arid conditions, elevated fixed-tilt bifacial panels at 3.0–4.0 m height represent the current best-practice specification: sufficient elevation for air circulation and mechanized crop maintenance, bifacial surface for energy yield optimization, and a ground cover ratio of 60–70% to deliver adequate shade without excessive light exclusion. The 3.5 m elevation specifically is validated by a 2025 Netherlands study of a 1.2-hectare strawberry agrivoltaic system at this exact height, demonstrating 35% light transmission to the crop — within the optimal range for high-value leafy vegetables.

Semi-transparent spectrally selective panels are under consideration for a dedicated research sub-plot. PMC-published research demonstrates that semi-transparent PV modules producing approximately 50% light transmission cause minimal yield reductions for lettuce and measurable biomass improvements for basil, making them a strong candidate for crop-specific testing within the pilot alongside the primary bifacial configuration.

2.2 The AI Digital Twin — Specific Architecture

The AI component of Energy Forest is not automation relabeled as artificial intelligence. It refers to a predictive digital twin: a live simulation of the site updated continuously by sensor data that forecasts soil moisture, temperature, and irrigation demand 24–72 hours ahead and models expected yield under different irrigation and climate scenarios. The system performs three specific functions:

• Predictive irrigation scheduling — applying water based on forecast soil moisture deficit rather than fixed schedules, reducing over-irrigation and water waste. A 2025 ScienceDirect review of AIoT applications in precision agriculture confirms that AI-driven irrigation systems achieve water use reductions of 20–50% compared to conventional scheduled irrigation in comparable climates.
• Anomaly detection — continuous monitoring for sensor drift, equipment failure, abnormal temperature spikes, or unusual crop stress patterns, enabling rapid operational response before yield damage occurs.
• Performance simulation — modeling expected crop yield and energy output under different climate and irrigation scenarios, enabling data-driven operational decisions and producing the investor-grade performance reporting required for commercial scale-up.

The visitor-facing output of this system — a simplified live display showing "Solar energy generated today," "Water saved today," and "Temperature under panels vs. outside" — costs nothing additional but transforms the site into an interactive educational exhibit rather than a fenced technical installation.