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  • Platform

    • Philosophy
    • Platform Overview
    • Platform Resources
  • Mirox-Cloud

    • Cloud Overview
    • Connected Microservices
  • Mirox-Agent

    • Agent Overview
    • Deployment Options
    • Data Scraper
    • Digital Twin
  • Technical Details

    • Metric Collection
  • Information

    • Supported Plants
  • Plant Types

    • Solar Plants
    • Wind Plants
    • Battery Storage
  • Monitoring & Visualization

    • Real-time Monitoring
    • Digital Twin
    • Component States
    • Loss Detection
    • Efficiency Detection
    • KPI Dashboard
  • Data Management

    • Events
    • Tickets
    • Forecasts
    • Reports
  • Integration & Sharing

    • Cooperations
    • API Tokens
    • VPN
    • Proxy
  • AI

    • AI Assistant & Wizards
    • Agentic Access (MCP)
  • Billing

    • Market & Tariffs
    • Accounting & Billing
  • Collaboration

    • Invitations
  • Security

    • Authentication
    • Permission System
    • Cooperation Restrictions
    • Access Audit Logging
  • Nodes

    • mrxnode
  • Application

    • Door Control
    • Generic Relay
  • Edge Cluster

    • Orchestration
  • Getting Started

    • First Steps
  • Personal

    • Using the VPN
    • Using the Proxy
    • Two-Factor Authentication
    • Sessions
    • API Tokens
  • Per Park

    • Contacts
    • Network Devices
    • Data Loggers
    • Components
    • Direct VPN (per Agent)
  • Organization

    • Member Permissions
    • Cooperations
    • File Storage
  • Data Export

    • Export Metric API
    • MiroxQL Query Language
    • External Report Generation
    • Grafana
    • API Overview
  • Support

    • Request Integration Guide
  • mrxnode

    • Overview
    • How-To Guide
    • Container Deployment
    • Command Cheatsheet
    • Troubleshooting
  • Reporting

    • External Report Generator
  • English
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  • English
  • Information

    • Supported Plants
  • Plant Types

    • Solar Plants
    • Wind Plants
    • Battery Storage

Solar Plants

Mirox gives you complete monitoring and analysis for photovoltaic (PV) solar installations of every size, from small rooftop systems to large utility-scale solar farms — with a per-plant Digital Twin that tells you not just that a component underperformed, but why.

Supported Configurations

Plant Architectures

  • Rooftop installations — commercial and industrial building-mounted systems
  • Ground-mounted systems — fixed-tilt solar farms
  • Tracking systems — single-axis and dual-axis tracking installations
  • Floating solar — water-based PV installations

Inverter Types

  • String inverters — multiple strings connected to centralized inverters
  • Central inverters — large-scale utility installations
  • Microinverters — individual panel-level conversion
  • Hybrid inverters — combined PV and battery storage systems

Plant Structure

Mirox models a solar plant as a hierarchy and discovers its components automatically from the data your loggers report — you do not enter the equipment list by hand:

  • Inverters with a computed primary orientation (east / south / west)
  • Generator junction boxes (GAKs) combining strings
  • Strings — the one component family you can also model and edit yourself
  • Irradiation sensors and feed-in meters

Each component links to a reusable datasheet so the platform knows the manufacturer specifications (inverter limits, panel ratings) it needs for analysis.

Monitored Parameters

Production Metrics

  • Real-time power output — current generation
  • Energy yield — daily, monthly, and annual production
  • Irradiance levels — solar radiation measurements
  • Performance ratio — actual versus weather-expected output
  • Specific yield — energy production per installed kWp

Environmental Data

  • Ambient temperature — air temperature at the site
  • Module temperature — PV panel surface temperature
  • Wind speed — impact on cooling and performance
  • Humidity levels — environmental conditions affecting efficiency

System Status

  • Inverter status — operational state and errors
  • String monitoring — individual string performance
  • Grid connection — AC coupling and grid parameters
  • Communication status — data connectivity health

Event Detection

The platform automatically detects and reports plant-level events:

  • Grid shutdowns — production loss caused by the grid operator
  • External shutdowns — production loss caused by an external control signal
  • Overproduction — output above the configured limit
  • Source availability — loss of a data source feeding the plant
  • Radiation-sensor defect — an irradiation sensor reporting implausible values

Component-level findings

Finer-grained problems — a degraded string, a stuck logger, shadowing, or inverter clipping — are surfaced by the Digital Twin per component rather than as plant-wide events. See Component Evaluation and Loss Detection.

Performance Analysis

A per-plant Digital Twin analyzes your solar plant in two ways.

String Configuration Analysis

For each string, the Digital Twin detects and validates the real configuration against what the metrics show:

  • Orientation — detected azimuth versus the configured value
  • Panel count — configured versus actual, flagging missing or defective panels
  • Inverter clipping — DC power exceeding the inverter's AC limit, with the energy lost
  • Shadowing — sunrise and sunset row-shadow detection against a clear-sky baseline

Each result carries a reliability status, so you know whether a finding is confident or based on insufficient data.

Health and Loss Monitoring

A nightly watchdog runs automatically per plant, simulates the production each component should have delivered, and compares it against the measured energy:

  • Loss attribution — every reported loss is tagged HIGH, MEDIUM, or LOW confidence
  • Real outage versus data gap — a missing reading from a healthy plant is treated as a communication or logging issue, not a production loss
  • Weather exclusion — snow, fog, and dew periods are excluded so weather is never miscounted as a component fault
  • Self-calibration — the expected-production model adjusts to each component's real behavior over a rolling window, so a freshly onboarded plant needs a few days before the numbers stabilize

No on-site pyranometer required

The watchdog derives an irradiance baseline from your best-producing strings, so loss detection works even on plants without a dedicated radiation sensor.

Integration Capabilities

Mirox collects solar plant data through vendor-specific adapters and supporting services:

  • Weather data providers — for weather-based performance expectations and forecasts
  • Inverter and string loggers — direct data collection from supported vendor hardware
  • Grid operators — feed-in configuration and compliance
  • On-site meteorological stations — local irradiance and weather inputs

Need a source we don't support yet?

We can build adapters for additional vendor hardware on request. See the Data Scraper for the current source coverage.

Related Features

  • Digital Twin — the per-plant physics analysis engine behind solar findings
  • Loss Detection — confidence-bucketed energy-loss attribution
  • Efficiency Detection — string-level performance and orientation analysis
  • Component Evaluation — per-component health states
  • KPI Dashboard — specific yield, availability, and production at a glance
  • Wind Plants and Battery Storage — the other supported plant types
Next
Wind Plants
MIT Licensed | Copyright 2026 Mirox Verwaltungs GmbH