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Development of an Interactive Wind Energy Site Selection and Monitoring Platform
  1. case
  2. Development of an Interactive Wind Energy Site Selection and Monitoring Platform

Development of an Interactive Wind Energy Site Selection and Monitoring Platform

phenomenonstudio.com
Energy & natural resources

Identifying and Optimizing Wind Turbine Installation for Renewable Energy Providers

The client faces challenges in guiding users through the process of selecting optimal locations and appropriate wind turbine models, resulting in difficulties in user decision-making, installation efficiency, and real-time monitoring. Users often lack clear, accessible information on site suitability and turbine performance metrics.

About the Client

A mid-sized renewable energy solutions provider specializing in wind turbine installation, site assessment, and real-time performance monitoring.

Goals for Developing a Wind Energy Site Selection and Monitoring System

  • Create an intuitive platform enabling users to identify suitable installation sites using satellite imagery and geospatial data.
  • Implement a streamlined, multi-step process for selecting wind turbine models based on location characteristics and technical specifications.
  • Facilitate order placement for turbine installation, including delivery and payment functionalities.
  • Develop an internal analytics dashboard to collect and display real-time operational data from installed wind turbines.
  • Design interactive components and visual widgets to improve usability and reduce user interaction time.
  • Enhance user engagement through thoughtful UI/UX design to make complex operations accessible and straightforward.
  • Achieve increased user satisfaction and higher installation conversion rates by providing a clear, easy-to-navigate system.

Core Functionalities and Features for Wind Energy Site and Monitoring Platform

  • Satellite-based site selection interface displaying available installation zones.
  • Detailed turbine model catalog with filtering and attribute comparison options.
  • Step-by-step guided process for location selection, turbine choice, and order placement.
  • Order management module integrating delivery scheduling and payment processing.
  • Real-time data collection system interfacing with installed wind turbines to gather metrics including electricity generation, power output, battery status, and temperature readings.
  • Visualization widgets presenting key performance indicators in an accessible and understandable format.
  • Interactive UI components such as hover states, drag-and-drop, and clickable elements to facilitate easy navigation and data interaction.

Recommended Technical Stack and Architectural Approach

Web application developed with modern frameworks supporting interactive UIs (e.g., React, Angular).
Geospatial data integration using satellite imagery APIs (e.g., Google Maps API, Mapbox).
Backend services built with scalable server-side technologies (e.g., Node.js, Python).
Responsive, mobile-friendly design for cross-device accessibility.
Secure authentication and payment processing protocols.

External Systems and Data Sources Integration Needs

  • Satellite imagery and geospatial data providers for site assessment.
  • IoT sensors and wind turbine data platforms for real-time operational metrics.
  • Payment gateways for order transactions.
  • Logistics and delivery scheduling systems.

Performance, Security, and Scalability Expectations

  • Platform must support at least 10,000 concurrent users with minimal performance degradation.
  • Data processing and analytics should deliver insights with less than 2 seconds latency.
  • System must comply with data security standards (e.g., GDPR, ISO 27001).
  • High availability setup ensuring 99.9% uptime for critical services.
  • Scalable architecture to accommodate future feature expansion.

Projected Business Benefits and Success Metrics for Wind Energy Platform

By implementing this platform, the client expects to significantly streamline the wind turbine site selection and monitoring process, leading to increased user engagement, higher conversion rates for turbine installations, and more efficient operational monitoring. This will result in improved decision-making, reduced installation time, and enhanced data insights, ultimately contributing to the growth of wind energy adoption and operational efficiency.

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