Predicting Power and Hydrogen Generation of a Renewable Energy Converter Utilizing Data-Driven Methods: A Sustainable Smart Grid Case Study

被引：5

作者：

Mirshafiee, Fatemehsadat ^{[1
]}

Shahbazi, Emad ^{[2
]}

Safi, Mohadeseh ^{[3
]}

Rituraj, Rituraj ^{[4
]}

机构：

[1] KN Toosi Univ Technol, Dept Elect & Comp Engn, Tehran 1999143344, Iran

[2] Amirkabir Univ Technol, Dept Mechatron, Tehran 158754413, Iran

[3] Univ Tehran, Dept Mechatron Elect & Comp Engn, Tehran 1416634793, Iran

[4] Obuda Univ, Fac Informat, Doctoral Sch Appl Informat & Appl Math, H-1023 Budapest, Hungary

来源：

ENERGIES | 2023年 / 16卷 / 01期

关键词：

hydrogen production; renewable energy; green energy; simulation; FLOW-3D; electrical power; CONTROL-SYSTEM; MODEL;

D O I：

10.3390/en16010502

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This study proposes a data-driven methodology for modeling power and hydrogen generation of a sustainable energy converter. The wave and hydrogen production at different wave heights and wind speeds are predicted. Furthermore, this research emphasizes and encourages the possibility of extracting hydrogen from ocean waves. By using the extracted data from the FLOW-3D software simulation and the experimental data from the special test in the ocean, the comparison analysis of two data-driven learning methods is conducted. The results show that the amount of hydrogen production is proportional to the amount of generated electrical power. The reliability of the proposed renewable energy converter is further discussed as a sustainable smart grid application.

引用

页数：20

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