Infosys Solar Monitoring Application

Overview

The Infosys Solar Monitoring Application is a top-tier solution for precise monitoring and analysis of solar photovoltaic systems, leveraging AI and ML capabilities. It supports Infosys' commitment to 100% renewable energy by enabling centralized performance monitoring of all its solar plants, with a total installed capacity of 60 MW. This application promotes energy security, mitigates global warming, and upholds social responsibility.

Key Features

Centralized Monitoring: Integrates various hardware (energy meters, weather sensors, data loggers, inverters, weather stations) and data sources into a unified platform.
AI/ML Analytics: Provides detailed analytics and solar energy generation forecasting, analysing the impact of external parameters on plant performance.
Proactive Alerts/Notifications: Offers an alert system that not only sends email alerts but also suggests solutions.
Dynamic Financial Analysis: Includes revenue forecasts and payback charts, offering insights for optimizing plant performance.

The application is further enhanced with a mobile platform developed on Microsoft Power BI, featuring key performance metrics visualization, trends, alarms, and notifications, aiding on-site diagnosis.

AI-driven solar monitoring enhances efficiency, productivity, and proactive issue resolution

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Key Market Drivers

The solar monitoring application industry often relies on off-the-shelf products that fall short of market expectations. Most software tools only display real-time values at regular intervals without offering diagnostic features to help operational teams rectify issues and enhance performance. With the rapid growth in renewable energy usage, many organizations lack subject matter experts in solar energy. Therefore, the goal is to make information and actions understandable to all users through automation.

Challenges & Solutions

An enterprise-level platform integrates with multiple hardware using a wide range of communication protocols, enabling detailed analytics to optimize solar plant performance.

The user-friendly, cloud-agnostic design includes features like energy demand forecasting, fault detection and diagnostics, loss analysis, economic analysis, and component-level monitoring to address performance issues effectively.

The application includes an auto-maintenance scheduler, allowing users to schedule and track maintenance activities, preventing unexpected plant shutdowns.