Page 85 - tech fest 2025 אשדוד חוברת תקצירים

Green Hovercraft with Solar and Hydrogen Integration
ME-A-01
Yarin Bachar; yarin565@gmail.com Yogev Gal; yogev18g@gmail.com
Advisors: Dr. Shayke Bilu1, Dr. Guy Ben-Hamu1 1SCE – Shamoon College of Engineering, Ashdod
In response to the climate crisis and the damage caused by fossil fuels, this project presents a solar- powered hovercraft as a clean, renewable alternative. It uses “SunPower Maxeon” solar panels, ‘lithium iron phosphate’ (LFP) batteries, and a hydrogen system to extend runtime and reduce battery strain. Axial flux electric motors ensure stable lift and efficient propulsion, while solar panels recharge batteries during operation. Hydrogen provides extra power when needed, enhancing reliability and lowering emissions. Fully renewable options were considered and the solar-hydrogen hybrid offered the best balance of weight, performance, and sustainability. Main challenges included real-time energy management and weight reduction with composite materials. Initial tests showed promising results. This project proves that renewable energy can enable scalable and practical clean transportation.
Keywords: energy management, hovercraft, hydrogen, renewable energy, solar panels
Development of Maritime Rescue Systems Using Drones: Enhancing Accuracy and Efficiency in Maritime Rescue Operations ME-A-02
Amir Avitan; amirav953@gmail.com Idan Zada; idan2216@gmail.com
Advisors: Dr. Shayke Bilu1, Dr. Chen Giladi1 1SCE - Shamoon College of Engineering, Ashdod
This research focuses on developing advanced maritime rescue operations using innovative drone- based systems that significantly enhance precision and efficiency. The study’s primary, critical challenge is to provide accurate lifebuoy deployment to distressed individuals in dynamic maritime environments, characterized by variable wave and wind patterns. Our research solution incorporates advanced image processing systems for pattern recognition of wave motion cycles, precise tracking of distressed individuals’ locations and movements, and sophisticated optimal algorithms for the timely release of lifebuoys, using environmental data, such as wave dynamics, wind conditions, and drone altitude. Experimental validation demonstrates a 40% improvement in lifebuoy delivery accuracy and response time compared to conventional methods—substantially increasing successful rescue probability under complex maritime conditions.
Keywords: drone-based systems, image processing, lifebuoy deployment, maritime rescue, optimal algorithms
Book of Abstracts | 2025
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