As part of AWE XR's "XR Prize Challenge: Fight Climate Change," a global initiative led by the non-profit and hosted by AWE, Greensight was conceived. This competition leverages augmented reality (AR) and virtual reality (VR) technologies to develop innovative solutions that address climate change.

The Challenge

The project aimed to utilize XR technologies to present practical, demonstrable solutions that could assist in mitigating the effects of climate change.

Delta’s specific challenge was to integrate multiple APIs effectively, providing relevant data in an easily understandable format that could educate users on sustainable practices.

The Solution

Greensight was developed by a team of software developers, 3D artists, and a project manager who focused on addressing climate change. They produced rough wireframes, leading to a clear UX design and content strategy.

Despite the tight schedule, they finished the project before AWE XR’s deadline. The result is Greensight, an augmented reality app that teaches about renewable energy. It uses real-time data on geolocation, solar, and wind to optimize the placement of solar panels and wind turbines, helping users reduce their carbon footprint and make informed energy decisions.

Key Achievements:

  1. Crafted a modern interface with 3D assets
  2. Integrated Weather API and OurWorldInData API for real-time and historical data
  3.  Implemented complex algorithms for calculating energy efficiency and optimal device placement
  4. Included educational content to support decision-making
  5. Produced promotional materials and launched the app on the Android platform

The Result

Although Greensight did not advance to the finals of the competition, the application made a significant impact by demonstrating the potential of XR technologies in promoting sustainable solutions. The project expanded the boundaries of data utilization and interpretation through XR.

The app serves as an educational tool accessible to all, enabling users to assess whether a location has sufficient resources to support sustainable building practices. It pulls data from the National Solar Radiation Database (NSRDB) and includes international locales.

Key Features:

  • ¬†Users can position a turbine in AR and adjust the blade length up to 3.5 meters, with the app calculating the potential energy output and carbon footprint reduction in real-time.
  • Designed for both individual and industrial use, Greensight helps in planning the placement and orientation of solar panels for homes and larger structures.

Project Highlights

Our developers leveraged APIs to collect location and weather-related data, crafting complex algorithms and mathematical equations to suggest optimal renewable energy solutions. We utilized hourly solar and wind data from the NSRDB, and carbon intensity information from, with AR calculations for real-world cardinal directions.

The application computes yearly and monthly energy outputs for solar panels based on various user inputs, including panel size, efficiency, and performance. Similarly, it processes wind turbine data to suggest the best positioning and orientation toward the sun, maximizing energy production. This precision allows users to swiftly determine optimal setups for their solar and wind installations.


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