Construction of Hydrogen Fuel Backup Power Supply System based on Data Communication Technology

Authors

  • Jun Pan Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510620, Guangdong, China
  • Keying Feng Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510620, Guangdong, China
  • Yu Zhuo Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510620, Guangdong, China
  • Hang Zhang Guangzhou Power Supply Bureau, Guangdong Power Grid Co., Ltd., Guangzhou 510620, Guangdong, China
  • Tianbao Ma Beijing Huasun Information Security Electronic Technology Co.,Ltd. Beijing 100089, Beijing, China

DOI:

https://doi.org/10.12694/scpe.v25i6.3352

Keywords:

power supply system, Construction of hydrogen, communication technology, electricity gadget

Abstract

The study presents a comprehensive examination of integrating hydrogen gas cells into backup electricity systems, strengthened by superior records verbal exchange technologies. This modern approach targets to address the growing interest for reliable and sustainable strength sources within the context of developing issues about environmental sustainability and the restrictions of traditional fossil gasoline-based totally power structures. On the middle of this studies is the improvement of a hydrogen gasoline cellular-based totally backup strength device. Hydrogen fuel cells, regarded for his or her excessive strength performance and low environmental impact, offer a promising opportunity to standard energy resources. The device leverages the inherent advantages of hydrogen as a clean strength carrier, making sure reduced carbon emissions and greater energy safety. A giant component of this have a look at is the combination of contemporary data communication generation. This integration facilitates real-time tracking and control of the electricity gadget, ensuring surest performance and reliability. Advanced statistics analytics are hired to are expecting energy demand, reveal gas cell health, and optimize the machine’s operation. This approach no longer handiest complements the performance of the energy supply but also ensures a unbroken transition between the number one energy supply and the backup device at some point of outages. The studies methodology encompasses a blend of theoretical analysis and realistic experimentation. Simulation models are used to test the device’s efficacy underneath numerous scenarios, followed via a prototype implementation to validate the theoretical findings. The look at also explores the monetary viability and scalability of the proposed machine, making it relevant for big adoption.

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Published

2024-10-01

Issue

Section

Special Issue - Deep Adaptive Robotic Vision and Machine Intelligence for Next-Generation Automation