Wind Farming

Solution Group

Industry

Smart Generation
Energy and Utilities

PoC Duration

Iotellect Match

3-15 days
AI powered Low Code IoT/IIoT Platform

Optimize wind energy production by adjusting turbines for maximum efficiency and using predictive maintenance to reduce downtime and costs. Ensure grid stability with integration to smart grids and use advanced forecasting tools to maximize energy output by predicting wind and generation patterns more accurately.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Wind Farming Devices

image
PLCs
image
Industrial PCs
image
IIoT gateways
image
Connected wind turbines
image
Sensors
for electrical parameters, mechanical stress, blade position, structural integrity, vibration, and more
image
Anemometers and wind vanes
image
Sensors
for weather conditions, noise levels, wildlife activity, etc.
image
Power inverters
image
Battery storage units
image
Grid integration devices
image
Energy meters
  • Usage of Wi-Fi, cellular networks, or dedicated radio frequencies to enable real-time data transmission between turbines, sensors, and control centers
  • Connectivity of various sensors and devices to a centralized system, allowing for comprehensive monitoring and data collection from all parts of the wind farm
  • Implementation of mesh networks to ensure reliable communication between devices even in remote or challenging locations, improving data transmission reliability
  • Employment of Virtual Private Networks (VPNs) and secure tunneling protocols to protect data transmission from cyber threats and unauthorized access
  • Identification and diagnoses of equipment faults in real-time, enabling quick responses to prevent damage and maintain operational efficiency
  • Management of energy output to align with grid demands, preventing overproduction and ensuring grid stability
  • Generation of regular performance and compliance reports for stakeholders and regulatory bodies, reducing the administrative burden on operators

Connectivity and Management

  • Low code integration with Geographic Information Systems (GIS)
  • Low code integration with weather forecasting systems
  • Low code integration with SCADA system
  • Low code integration with digital twin platform
  • Low code integration with predictive maintenance platforms
  • Low code integration with grid management systems
  • Low code integration with energy storage management systems
  • Low code integration with renewable energy trading platforms

Integration

  • Analysis of weather data and historical performance to predict future wind conditions and energy output, aiding in grid integration and energy planning
  • Continuous monitoring of turbine components (such as blades, gearboxes, and generators) for signs of wear or damage, providing insights into the health and lifespan of equipment
  • Analysis of grid demand data alongside wind farm output to optimize energy dispatch and reduce curtailment, ensuring grid stability and maximizing revenue
  • Evaluation of stress and load on turbine components under varying wind conditions to optimize operations and extend the life of equipment
  • Identification of patterns in data that signal potential faults or anomalies in turbine operation, allowing for early intervention and minimizing damage
  • Quantification of losses due to sub-optimal performance, downtime, or grid curtailments, helping to target improvements and maximize energy production
  • Identification of correlations between different data points (e.g., wind speed vs. energy output) to optimize turbine settings and predict performance more accurately

Analytics

  • Visual mapping of the wind farm, with real-time status indicators for each turbine, enabling quick identification of issues and easy navigation
  • Visualize data trends, turbine performance, and wind patterns to quickly interpret complex information
  • Availability of predictive maintenance alerts with recommended actions, allowing operators to schedule repairs and part replacements efficiently
  • Enabling of simple configuration of turbine settings, layout adjustments, or report generation through intuitive drag-and-drop tools
  • Integration of simulation tools for forecasting wind patterns, energy output, and operational scenarios, assisting in strategic planning

UI/UX

Key Features
for Your Wind Farming Solution

Customers and Partners

  • System Integrators
  • Original Device Manufacturers
  • Independent Software Vendors
  • Engineering Companies
  • Government Agencies
  • Energy Companies

Solution Users and Developers

  • Dedicated low code developers
  • SCADA/HMI engineers
  • Industrial automation specialists
  • Power engineering professionals
Customer success team
Community
Online training

Assistance