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Predicting peak loads and fuel cell generation using energy storage systems
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Predicting peak loads and fuel cell generation using energy storage systems
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Journal Article
Predicting peak loads and fuel cell generation using energy storage systems
2025
Overview
This study utilizes real-world hospital data to analyse hospital electricity consumption patterns. By investigating the hospital’s power grid characteristics, we develop mathematical models to regulate peak and off-peak loads. Simulation results demonstrate the effectiveness of integrating fuel cells (FCs) and secondary lithium batteries under different normalized benchmark values for peak suppression, showing varied effects across different load curves. Fuel cells generate electricity through hydrogen energy reactions. Unlike traditional fossil fuels, which are highly polluting and inefficient, fuel cells convert chemical energy into electrical energy through electrochemical reactions between hydrogen and oxygen at the electrodes. Their key advantages include simple structural materials, modularity, a wide application range, ease of operation, and continuous 24-hour power generation. Through an inverter, the DC output is converted to AC and either integrated into the national grid or used to support off-peak loads. Based on the hospital’s maximum daily load demand of 2000 KW, a 2500 KW fuel cell module can fully meet daily electricity requirements while effectively suppressing peak demand for up to 12 hours. This study demonstrates the high feasibility and economic benefits of integrating fuel cells (FCs) and secondary lithium batteries for hospital energy management, providing a sustainable and cost-effective solution for future power infrastructure.
Publisher
IOP Publishing
