Renewable Energy

Maximize Clean Energy Output with Ombrulla — Optimize solar, wind, and battery performance with AI visual inspection, predictive maintenance, and real-time safety solutions.

Ombrulla's AI & IoT Solutions for Renewable Energy

Ombrulla delivers AI- and IoT-powered solutions that enable renewable energy operators to maximize output, reduce maintenance costs, and protect field workers. From AI Visual Inspection of solar panels and wind turbines to Agentic AI for grid optimization, our platforms future-proof your clean energy operations.

AI Visual Inspection

Solar & Wind Asset Monitoring

Renewable energy assets like solar panels, wind turbines, and battery systems require regular inspection to maintain peak performance. Manual inspections are costly, time-consuming, and often dangerous for technicians working in remote or offshore locations.

How Ombrulla Helps

Solar & Wind Asset Monitoring

AI-powered drones and cameras inspect solar panels, wind turbines, and battery systems.

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Defect Detection

Algorithms identify cracks, dust accumulation, blade erosion, or overheating with precision.

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Digital Twin Integration

Creates a live digital replica of renewable assets to simulate stress loads and optimize performance.

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Wind farm turbine blade inspection with AI

Use Case

A wind farm operator uses Ombrulla's drones to inspect turbine blades. The AI detects micro-cracks caused by high winds and simulates blade stress in the digital twin. Maintenance crews repair the blades before failure, preventing a 15% drop in energy production.

Business Impact

Higher Energy Output

Keeps panels and turbines performing at peak efficiency.

Lower O&M Costs

Reduces manual inspection costs and unnecessary servicing.

Improved Safety

Minimizes risks for field technicians in remote or offshore locations.

Asset Performance Management (APM)

Maximize Renewable Asset Reliability & Performance

Renewable energy assets—solar panels, wind turbines, inverters, and battery systems—must operate continuously to maximize energy generation. Unexpected failures lead to lost revenue, grid instability, and costly emergency repairs. Traditional reactive maintenance approaches can't keep pace with the demands of modern clean energy operations.

How Ombrulla Helps

IoT Sensor Tracking

Monitors turbine rotations, solar panel voltage, inverter efficiency, and battery performance.

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Predictive Maintenance

AI forecasts faults before they cause outages, reducing downtime.

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Edge AI Pods

On-site analytics provide instant alerts for field teams.

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Solar plant with APM predictive maintenance system

Use Case

A solar plant installs Ombrulla's APM on its inverters. The system detects a drop in output efficiency linked to overheating components. Maintenance is scheduled during non-peak hours, avoiding a plant-wide outage and safeguarding millions in revenue.

Business Impact

Maximized Uptime

Keeps renewable assets consistently generating power.

Extended Asset Life

Increases longevity of solar panels, wind turbines, and storage systems.

Cost Efficiency

Cuts repair costs while improving long-term ROI.

Worker Tracking & Workplace Safety

Real-Time Protection for Field Technicians

Renewable energy environments expose workers to extreme weather, high-voltage equipment, remote locations, and offshore hazards. Traditional safety measures often react too late to prevent accidents in these challenging conditions.

How Ombrulla Helps

Smart Wearables

IoT-enabled helmets and vests track technicians working in fields, offshore turbines, or remote solar farms.

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Dynamic Safety Zones

AI restricts access to high-risk areas during equipment operation or severe weather.

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Proactive Alerts

Workers receive immediate warnings about overheating, electrocution risks, or storm hazards.

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Offshore wind farm worker safety alert system

Use Case

At an offshore wind farm, Ombrulla's wearable system detects high wind speeds while a maintenance crew climbs a turbine. The AI automatically issues evacuation alerts, halts turbine rotation, and logs the incident for compliance—preventing a potential fatality.

Business Impact

Fewer Accidents

Reduces risk during high-risk renewable energy operations.

Compliance-Ready

Supports safety reporting for renewable energy regulations.

Stronger Workforce Trust

Improves worker morale and retention in challenging environments.

Agentic AI for Decision-Making

Intelligent Automation for Energy Operations

Modern renewable energy operations generate massive amounts of data from asset inspections, equipment monitoring, weather forecasts, and grid demands. Manual decision-making can't keep pace with the speed required for optimal energy generation and grid stability.

How Ombrulla Helps

Integrated Intelligence

Combines data from inspections, IoT sensor readings, and weather forecasts for smarter operations.

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AI Recommendations

Suggests corrective actions like adjusting turbine pitch, rebalancing grid loads, or rescheduling maintenance.

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Autonomous Execution

Executes approved decisions automatically while keeping an audit trail.

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Solar energy grid management with agentic AI

Use Case

During a heatwave, Ombrulla's Agentic AI analyzes solar panel efficiency, battery storage, and grid demand. It automatically adjusts panel tilt to optimize output, reroutes excess energy into storage, and rebalances supply to meet peak demand. This keeps the grid stable, prevents outages, and maximizes profitability during peak demand periods.

Business Impact

Optimized Power Generation

Maximizes renewable energy output by adjusting in real time.

Reduced Human Error

Minimizes operational mistakes in complex energy grids.

Sustainable Growth

Supports long-term ESG and clean energy goals.

Transform Your Renewable Energy Operations with AI

Discover how Ombrulla's intelligent automation can maximize clean energy output, reduce maintenance costs, and protect your field teams.