This invention focuses on optimizing the layout of solar photovoltaic (SPV) modules on lighter-than-air platforms (LTAPs) to maximize power generation. The method involves selecting SPV modules based on power-to-weight and power-to-area ratios, calculating payload and volumetric requirements, and determining the optimal contour for module placement. This approach aims to enhance the efficiency of solar power generation on LTAPs used for various remote sensing and surveillance applications.
Figure (1) LTAP; (2) Cross-sectional view of LTAP
Conventional methods of power supply for airborne platforms are costly and inefficient, particularly in remote areas. Existing solutions involve using batteries or tethers connected to ground-based generators, which increase operational costs and complexity. Additionally, traditional SPV module layouts do not account for dynamic environmental conditions, leading to suboptimal power generation.
- Dynamic Module Fill Factor (DMFF): The technology estimates the DMFF for each SPV module to dynamically optimize power generation.
- Optimal contour design: It determines the best layout and contour for SPV modules on the LTAP, considering angles and placement to maximize solar exposure.
- Lightweight and efficient: It selects SPV modules based on their power-to-weight and power-to-area ratios, ensuring efficient payload management and power generation.
- Aerodynamically stable platform: It uses an aerodynamically stable design to maintain optimal positioning and reduce instability due to wind.
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Theoretical concepts for this technology have been proven/validated through calculations/simulations.
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This technology can significantly reduce the cost and complexity of powering remote sensing platforms, making them more accessible and efficient. It supports sustainable energy generation in remote areas, enhancing the capabilities of surveillance and exploration missions while reducing reliance on non-renewable energy sources.
- Remote sensing and surveillance: Used for hyper-spectral imaging, thermal imaging, and other remote sensing applications
- Exploration of natural resources: Assists in exploring rare earth materials and underground water using high-resolution cameras
- Renewable energy, remote power generation: Provides power for remote operations without relying on ground-based power sources
- Aerospace and Defense
- Environmental monitoring
471/MUM/2015
512172