Design of Multi-machine Cooperative Photovoltaic Energy-saving Disinfection System

With advancements in science and technology, environmental hygiene has gained increasing attention. To protect the environment, a multi-machine cooperative photovoltaic energy-saving disinfection system has been designed, utilizing solar energy for power supply and implementing a priority charging control strategy to facilitate the collaborative operation of devices. The photovoltaic array consists of 150 Wp solar modules, and the design’s feasibility has been validated through simulations using PVsyst software. Additionally, the priority charging strategy has been simulated in Simulink, determining the charging priorities based on state of charge (SOC) values. The final analysis indicates that the system is expected to reduce coal consumption by 1.11 tons in the first year, resulting in reductions of 3.12 tons of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> and 7.426 kg of SO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions.

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Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/aees63781.2024.10872406
Primary Topic
IoT-based Smart Home Systems
Type
article
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Design of Multi-machine Cooperative Photovoltaic Energy-saving Disinfection System

Taotao Wang, Xiaofei Zhen, Mei Liu, Weijia Li et al.
IoT-based Smart Home Systems
article

Design of Multi-machine Cooperative Photovoltaic Energy-saving Disinfection System

Taotao Wang, Xiaofei Zhen, Mei Liu, Weijia Li, Haiming Yan, Y. J. Xiao
article en

Abstract

With advancements in science and technology, environmental hygiene has gained increasing attention. To protect the environment, a multi-machine cooperative photovoltaic energy-saving disinfection system has been designed, utilizing solar energy for power supply and implementing a priority charging control strategy to facilitate the collaborative operation of devices. The photovoltaic array consists of 150 Wp solar modules, and the design’s feasibility has been validated through simulations using PVsyst software. Additionally, the priority charging strategy has been simulated in Simulink, determining the charging priorities based on state of charge (SOC) values. The final analysis indicates that the system is expected to reduce coal consumption by 1.11 tons in the first year, resulting in reductions of 3.12 tons of CO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> and 7.426 kg of SO<inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> emissions.

Lanzhou Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
IoT-based Smart Home Systems
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