1. Platform Overview

What is Earthflow3D?

Earthflow3D is a browser-based 3D digital twin delivered as a single-file web application hosted on Firebase. It renders a photorealistic globe with real terrain, then overlays a fully interactive utility-scale solar + storage plant where every asset is clickable, inspectable, and monitored in real time.

Unlike traditional 2D SCADA dashboards, Earthflow3D provides spatial context — operators see where a degraded panel block sits relative to the substation, which inverter feeds which bus, and how the BESS units are positioned within the plant boundary. This spatial awareness accelerates fault isolation and maintenance planning.

Demo Site Configuration

User Experience

• Click-to-inspect: Click any 3D asset to open a detailed multi-tab inspector panel
• Real-time sparklines: Every metric rendered as a 48-hour SVG sparkline with hover tooltips
• Layer toggles: Show/hide panel blocks, inverters, substation, BESS, plant boundary, labels
• Navigation controller: Zoom, tilt, rotate with keyboard, mouse, or touch
• Click-to-fly: Alerts and work orders link directly to 3D map locations
• 5-second auto-refresh: Live simulation updates all telemetry values automatically

Fully Configurable Site Architecture

The demo showcases a 150 MW solar + 100 MW / 400 MWh BESS layout, but the Earthflow3D platform is fully configurable to any utility-scale site. The number of panel blocks, inverter count and capacity, substation configuration, BESS sizing, and plant boundary are all parameterized — not hardcoded. Any site layout can be modeled by providing the configuration data below.

Asset interconnections — which panel blocks feed which inverters, which inverters connect to which MV bus, and how the substation ties into the transmission grid — are defined via a site configuration that maps the electrical single-line diagram to 3D positions. This allows operators to trace fault propagation spatially: click a tripped inverter and see exactly which panel blocks are affected.

Augmenting with 3D Point Cloud & Drone Data

For higher-fidelity digital twins, the site geometry can be augmented with 3D point cloud data from LiDAR scans or photogrammetric drone surveys. Point clouds provide exact as-built geometry that goes beyond what CAD drawings capture: actual panel tilt angles, rack heights, cable tray routing, terrain contours, and vegetation clearance zones.

Drone-captured orthomosaics and thermal imagery — from providers like Skydio and Veerum — can be overlaid directly onto the 3D model, enabling visual inspection and thermal anomaly detection without dispatching personnel to the field. Combined with Earthflow’s satellite-based detection capabilities (Earthflow Detect), this creates a multi-resolution inspection pipeline from orbit to ground level.

2. Digital Twin Asset Health Monitoring

Earthflow3D monitors 4 asset classes with a total of 40+ metrics. Each asset type has a dedicated multi-tab inspector showing real-time values, historical trends, and predictive analytics. Data ingestion frequencies are fully configurable based on what is available from the site’s SCADA, BMS, DAS, and sensor infrastructure — from sub-second streaming for critical alarms, to 15-minute intervals for standard telemetry, to daily or monthly cadences for trending and predictive models. The update rates shown below represent typical configurations; actual frequencies depend on the data source and site-specific availability. The goal is to build asset health models and condition indicators that surface degradation trends, anomalies, and failure risks before they escalate into unplanned downtime or costly repairs — shifting O&M from reactive to predictive.

Panel Blocks (16 Units)

Inverters (5 Units)

Substation (1 Unit)

BESS (2 × 50 MW / 200 MWh)

3. Operations Intelligence Suite

Beyond asset monitoring, Earthflow3D includes four advanced operations intelligence modules that transform raw telemetry into actionable revenue and maintenance decisions. Each module is fully configurable to the site’s specific market, equipment, and operational context — the ISO node and pricing zone, forecast provider, loss model parameters, alert thresholds, and maintenance cost assumptions are all adjustable per site. This ensures the intelligence layer adapts to any utility-scale plant, whether it operates in CAISO, ERCOT, PJM, or any other ISO market.

Dispatch Command Center

Real-time BESS dispatch optimization driven by ISO locational marginal pricing (LMP).

Generation Forecast

24-hour ahead generation forecast with confidence bands, weather correlation, and ramp event detection.

Performance Optimization

Energy loss analysis, clipping quantification, soiling economics, and underperformer identification.

Fleet Health Dashboard

Aggregate health scoring and predictive maintenance intelligence across all asset classes.

4. Site Performance & Real-Time Monitoring

Site Overview Drawer

The Site Performance drawer provides a multi-tab view of the entire plant’s operational status, accessible via a persistent toggle in the bottom toolbar.

Three Operating Modes

Active Site Panel

The left-side Active Site panel provides at-a-glance site status:

• Generation: Current MW output (real-time)
• Capacity: Installed DC capacity (MW)
• Availability: Plant-level availability (%)
• Storage: Average BESS state of charge (%)
• Active Alarms: Count of open alarms
• Fleet Health Bar: Aggregate health scores per asset class

Telemetry Architecture

5. O&M Alerts & Work Order Management

Active Alerts (6 Demo Alerts)

Work Orders (5 Demo Work Orders)

Key Capabilities

• Click-to-fly: Every alert and work order links to the 3D map location of the affected asset. Clicking an alert triggers a camera flight animation directly to the asset.
• Work order metadata: Status (Open / Assigned / In Progress / Complete), assignee, priority, scheduled date, parts list, and estimated duration.
• Alert → Work Order: Alerts can generate work orders, creating a traceable chain from anomaly detection to resolution.

6. Competitive Benchmarking

The solar O&M monitoring market is dominated by 5 established players. Earthflow3D’s feature set was designed to match or exceed these platforms while introducing capabilities none of them offer.

Competitive Positioning Matrix

Competitive Moats

• Physics AI™: Earthflow’s agentic AI (Cirra) uses physics-informed models for site assessment, fire risk, erosion, and vegetation analysis. No competitor offers agentic AI for solar O&M.
• Development → Operations: Earthflow covers the full lifecycle from site screening and environmental compliance through construction monitoring and into operations. Competitors only cover the operations phase.
• Environmental Intelligence: NDVI monitoring, vegetation encroachment alerts, erosion risk scoring, and species-aware compliance management. This is a regulatory advantage no SCADA vendor provides.
• Implementation Speed: Cloud-native, Firebase-hosted, API-driven architecture means a new site can be onboarded in days vs months for traditional SCADA integrations.
• Cybersecurity & NERC CIP: Built-in NERC CIP compliance tracking, firmware version auditing, and cybersecurity posture monitoring for BES Cyber Assets. Combined with B&V’s NERC CIP consulting practice, Earthflow3D delivers audit-ready cybersecurity dashboards that no pure-play SCADA vendor offers out of the box.

7. Data Sources & Integration Path

Every metric displayed in Earthflow3D maps to a real-world data source that is available at COD (commercial operation date). The table below shows the complete mapping.

Already Built in Earthflow

Several data integrations are already operational in the broader Earthflow platform (used by Cirra AI agent):

• Weather: 3-source weather aggregation (Tomorrow.io + OpenWeatherMap + NREL) with 48-hour forecasts
• Fire Risk: USGS wildfire data, NASA FIRMS active fire, Red Flag warnings
• Vegetation Analysis: RUSLE erosion model, NDVI classification, species identification
• Grid Interconnection: PJM, MISO, CAISO, SPP, ERCOT queue data (50,000+ projects)
• Satellite Imagery: Mapbox, Sentinel-2, Google Earth Engine integration

8. Development Gap Analysis — Demo to Pilot

The Earthflow3D demo demonstrates all critical O&M intelligence features with simulated data. Transitioning to a real-site pilot requires four development phases focused on API integration, real-time pipelines, predictive models, and dispatch optimization. The estimated total pilot investment is ~$350K across all phases — approximately 0.3% of the $135M 10-year revenue opportunity identified in the B&V Business Case. Target: Q2 2026 pilot on a B&V-constructed utility-scale solar + storage plant.

9. Pilot Site Requirements

The ideal pilot site should be a recently-constructed or Year 1 operating B&V solar + storage project with modern DAS and BMS infrastructure.

Timeline

10. Conclusion & Next Steps

Earthflow3D demonstrates a market-competitive suite of O&M intelligence features today. The demo includes capabilities that match or exceed every major competitor in the solar monitoring space, while introducing three features no competitor offers: Physics-Informed AI, Agentic AI (Cirra), and full development-to-operations lifecycle coverage.

Key Findings

• Feature parity achieved: 40+ metrics across 4 asset classes, loss waterfall, generation forecast, BESS dispatch optimization, fleet health scoring — matching the feature sets of Stem, Power Factors, and Raptor Maps
• Three unique differentiators: Physics AI, agentic AI (Cirra), and environmental intelligence — none available from any competitor
• Every metric maps to available data: All 40+ demo metrics map to real-world data sources that are standard at COD. No metric requires data that doesn’t exist today
• API integration, not research: The gap from demo to pilot is engineering work (SCADA adapters, data pipelines, AI training) — not fundamental research or unproven technology
• 10+ Physics AI models already built: Generation forecast, weather aggregation, fire risk, erosion (RUSLE), vegetation classification, species ID, satellite detection (4 models), grid interconnection queue scoring, construction weather forecasting, development cost estimation, and automated PDF reporting — all production-ready in Earthflow today
• 25-tool agentic AI (Cirra): Site assessment, fire risk, vegetation analysis, weather, grid analysis, solar detection, cost estimation, PDF reports — the most comprehensive AI agent in the solar industry
• 50,000+ interconnection projects tracked: PJM, MISO, CAISO, SPP, and ERCOT queue data with Queue Pressure Scoring already operational

Recommended Next Steps

Financial Summary