可再生能源
过程(计算)
控制(管理)
环境科学
环境经济学
计算机科学
工程类
经济
电气工程
人工智能
操作系统
作者
Carlos Armenta-Déu,Alberto Parra,Alberto Parra,Facultad de Físicas, Universidad Complutense, Spain
标识
DOI:10.33140/jdaedm.01.02.04
摘要
This work focuses on designing and implementing a local renewable energy network control system that integrates solar, wind, and hydrogen energy sources. A detailed simulation evaluates the system's operational performance, emphasizing efficient management and intelligent distribution of the energy generated by these sources. Additionally, the study searches for optimizing the generated energy distribution to maximize the system sustainability and reliability. The study considers fluctuating energy demand, conversion efficiency, and inherent losses in the generation and distribution process. The results obtained allow optimizing the use of these renewable energies, maximizing the sustainability and reliability of the system. Additionally, conclusions show which type of technology is best suited for implementation in a local network, offering a viable alternative to conventional energy sources and contributing to a more efficient and sustainable global energy system.
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