Control System for a Local Network of Renewable Energies: Solar-Wind-H2. Simulation and Evaluation of the Operational Process

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.

Authors

Publication Details

Journal
Journal of Data Analytics and Engineering Decision Making
Published
2024-10-30
DOI
https://doi.org/10.33140/jdaedm.01.02.04
Primary Topic
Integrated Energy Systems Optimization
Type
article
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article

Control System for a Local Network of Renewable Energies: Solar-Wind-H2. Simulation and Evaluation of the Operational Process

Alberto Parra, Carlos Armenta-Déu
Journal of Data Analytics and Engineering Decision Making
Integrated Energy Systems Optimization
article

Control System for a Local Network of Renewable Energies: Solar-Wind-H2. Simulation and Evaluation of the Operational Process

Alberto Parra, Carlos Armenta-Déu
article en

Abstract

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.

Journal of Data Analytics and Engineering Decision MakingVol. 1(2)
Openalex Percentile: Top 72%
Integrated Energy Systems Optimization
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