Integrated Solar Energy Utilization and Conduction Filtration System—Medusozoa
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Integrated Solar Energy Utilization and Conduction Filtration System—Medusozoa

Yang Tian 1* Zimo Lu 2, Feiyan Long 3
1 Beijing 101 Middle School
2 Beijing 101 Middle School
3 Beijing 101 Middle School
*Corresponding author: qingq0639@gmail.com
Published on 20 August 2025
Journal Cover
ACE Vol.180
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-80590-311-6
ISBN (Online): 978-1-80590-312-3
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Abstract

With rapid urbanization, many low-rise residential buildings and certain indoor spaces suffer from inadequate natural lighting, relying heavily on artificial illumination. This dependence leads to increased energy consumption and potential exposure to harmful ultraviolet radiation. Existing indoor lighting systems typically use fixed light sources with limited adjustment capabilities, resulting in inefficient use of natural light and lacking ultraviolet filtration, which poses both energy and health challenges. To address these issues, this study proposes the "Medusozoa" intelligent solar energy utilization system, which achieves indoor natural lighting through efficient light collection, intelligent sunlight tracking, ultraviolet filtration, and optical fiber conduction technologies. The system employs a light sensor, an Arduino microcontroller, and a servo motor to track the sun's angle in real time, maximizing sunlight collection. It filters out harmful ultraviolet light and efficiently channels the filtered light indoors through optical fibers, significantly enhancing energy efficiency while ensuring health and safety.

Keywords:

Solar energy utilization, Ultraviolet filtration, Energy efficiency, Optical Fiber, Arduino

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Tian,Y.;Lu,Z.;Long,F. (2025). Integrated Solar Energy Utilization and Conduction Filtration System—Medusozoa. Applied and Computational Engineering,180,16-21.

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Cite this article

Tian,Y.;Lu,Z.;Long,F. (2025). Integrated Solar Energy Utilization and Conduction Filtration System—Medusozoa. Applied and Computational Engineering,180,16-21.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-MCEE 2026 Symposium: Advances in Sustainable Aviation and Aerospace Vehicle Automation

ISBN: 978-1-80590-311-6(Print) / 978-1-80590-312-3(Online)
Editor:
Conference date: 14 November 2025
Series: Applied and Computational Engineering
Volume number: Vol.180
ISSN: 2755-2721(Print) / 2755-273X(Online)