Project Overview

Our initiative focuses on identifying the most efficient locations for solar panel installations within the regions of Muscat and Military Technological Collage. By employing UAVs equipped with LiDAR technology, we scan buildings and nearby areas to gather precise elevation data, however in this project the collected data gathered from Military Technological Collage (Geomatics department) because of air liegulation restrictions. This data is processed into a Digital Elevation Model (DEM) and transformed into a solar radiation map, which helps to determine the rooftops with the highest solar exposure. This ensures that solar panels are installed where they can produce the maximum amount of energy, optimizing solar power utilization in urban environments.

Implementation Process

The project starts with UAVs collecting high-resolution elevation data using LiDAR sensors. This data is then processed through ArcGIS to generate a Digital Elevation Model (DEM), which provides a clear understanding of the terrain and building heights. Using this DEM, we convert the information into a solar radiation map that calculates the level of solar exposure on each building.

After digitizing relevant features in Muscat and Military Technological Collage, then the solar radiation data is clipped to identify the most favorable rooftops for solar panel installations.

The methodology process can be illustrated below:

upload_image.14:21:00.235201

Also, there are tow example in Muscat and Military Technological Collage:

1- Military Technological Collage:

upload_image.19:11:11.458679

2- Muscat:

upload_image.19:07:53.894783

See the link below for more details

Link Here

Key Advantages

This approach enhances the effectiveness of renewable energy by pinpointing the optimal locations for solar panel installations, leading to higher energy output with fewer panels. By focusing on rooftops with maximum sunlight exposure, fewer panels are required to generate sufficient energy, lowering both installation and maintenance costs. The reduced number of panels also means fewer batteries are needed for storage, further cutting costs. Additionally, this project supports sustainability by decreasing reliance on fossil fuels, reducing carbon emissions, and contributing to the community’s clean energy objectives.

Goals and Aspirations

We aim to drive the adoption of solar energy by offering a data-driven, scalable solution that ensures solar panels are placed in ideal locations. Our goal is to maximize energy production while promoting sustainable practices that can be replicated in other regions.

Tools, Hardware and Software

Tool:

- Canva

- ChatGPT

Hardware:

- Our own UAV (3D printed) as a prototype - more details can be found in the Link.

- LiDAR (YellowScan Surveyor Ultra)

- Camera (A8 mini 4k)

Software:

- ArcGIS

- ArcGIS Pro

- NASA Earthdata GIS

It can be shown in figure below (more can be found in the link):

upload_image.13:11:36.686459

2024 NASA Space Apps Challenge

MTC space team