WindMill IoT Energy Management System

Azure IoT based solution delivering real time predictive data and analysis.

Region: USA
Industry: Energy
Organization size: Large
Technology: Microsoft Azure

At Prioxis, our mission is to merge innovation with sustainability, a vision brought to life through our WindMill IoT Energy Management System. This ambitious project was conceived to tackle the complex challenges of modern energy management by leveraging the latest in IoT technology and cloud computing. Powered by Microsoft Azure and engineered using .NET Core and C#.Net.

this system stands as a beacon of our commitment to advancing renewable energy solutions.

Challenges

Business goals

Seamless IoT Integration: To integrate advanced IoT solutions for enhanced turbine control and predictive maintenance, ensuring operational efficiency
Real-Time Monitoring: Implement a system for continuous, real-time monitoring across wind farms, optimizing energy output and facilitating informed decision-making
Strategic Business Insights: Leverage IoT for deeper operational insights, aiding strategic planning and performance optimization

Challenges

Geographical Variability: Accurately managing energy generation across diverse locations, each with unique environmental factors
Real-Time Data Processing: Ensuring the back-office system could handle real-time monitoring and data processing for multiple windmills
Prediction Accuracy: Developing a reporting engine to minimize financial penalties by closely aligning predicted and actual energy generation
Adhering to Enterprise-Grade SLA: Adhering to strict SLAs regarding system availability, reliability, security, and scalability

Our Approach in Developing Azure IoT Energy Management Solutions

Azure IoT for Device Management

Enabling streamlined device configuration and communication.

Real-Time Data Processing

Utilizing Azure Stream Analytics for immediate insights.

Comprehensive Monitoring Interface

A back-office web interface for detailed energy tracking and reporting.

Predictive Analytics

A machine learning model to forecast energy production accurately, considering various environmental factors.

Stack and team

The technology behind it

Microsoft Azure
Azure SQL Server
.NET Core

Results

Outcomes & Values Delivered

Azure Certified IoT Infrastructure

Ensuring wind farms are powered by scalable and secure technology.

Client review

The PM has been proactive and has managed the project professionally. Prioxis has delivered everything on time and within budget, much to the client's delight. The team is highly responsive from a workflow standpoint, and internal stakeholders are particularly impressed with the service provider's versatility and results-driven approach.
CEO, Software Development Company