Open AccessSimulation and optimization of hydrogen-based hybrid renewable energy systems: Software tools and applications
Author(s) -
Yaze Li,
Guodong Li,
Jin Li,
Pierre Bénard,
Richard Chahine,
Jinsheng Xiao
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2208/1/012018
Subject(s) - trnsys , renewable energy , computer science , software , environmental economics , hybrid system , fossil fuel , simulation software , energy (signal processing) , engineering , economics , electrical engineering , statistics , mathematics , machine learning , programming language , waste management
With continuous fossil energy consumption and global warming, renewable energy has become more popular. Therefore, more and more researchers have begun to study hydrogen-based hybrid renewable energy systems. This article mainly summarizes the commercial software tools and the simulation of hybrid renewable energy systems in recent years. Firstly, the commonly used softwares and research methods are reviewed so that other researchers can choose suitable tools and strategies to conduct their researches. Then TRNSYS software is used to perform a case study in Yichang, Hubei, China. The established model is simulated according to the one-year load of the community. The simulation results show that the total power generation of the system can meet the load demand most of the time but is insufficient in some peak periods. The system can further be optimized using optimization methods to fully meet the load.