The importance of detailed data utilization on the performance evaluation of a grid-independent hybrid renewable energy system

In this study, a multi-source hybrid power system consisting of wind turbine (WT), photovoltaic (PV) solar unit, proton exchange membrane (PEM) FC and battery is proposed. The WT and PV generation systems are considered as the main power sources for utilizing the available renewable energy. The FC s...

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Bibliographic Details
Published in:International journal of hydrogen energy 2011-10, Vol.36 (20), p.12664-12677
Main Authors: Erdinc, O., Uzunoglu, M.
Format: Article
Language:English
Subjects:
Alternative fuels. Production and utilization
Applied sciences
Energy
Exact sciences and technology
Fuels
Fuzzy logic
Hybrid system
Hydrogen
PEM fuel cell
Photovoltaics
Renewable energy
Wind turbine
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Summary:In this study, a multi-source hybrid power system consisting of wind turbine (WT), photovoltaic (PV) solar unit, proton exchange membrane (PEM) FC and battery is proposed. The WT and PV generation systems are considered as the main power sources for utilizing the available renewable energy. The FC system is proposed as the back-up generation combined with electrolyzer unit and battery picks up the fast load transients and ripples. In such a hybrid system, energy management plays an important role for the overall system performance and durability. From this perspective, a fuzzy logic based intelligent controller is considered in this study. Besides, a detailed minute-scale meteorological and load demand data is utilized in the simulation process and the importance of utilization of such detailed data is presented. This detailed analysis may be valuable for evaluating the feasibility of grid-independent hybrid renewable energy units for upcoming power systems. ► Analysis of a stand-alone wind turbine/photovoltaic/fuel cell/battery hybrid system. ► The utilization of a minute-scale based meteorological data instead of hourly-based data mostly utilized in the literature. ► Application of fuzzy logic for hybrid system energy management. ► Evaluation of hybrid system performance under different seasonal conditions of a year.
ISSN:0360-3199
1879-3487
DOI:10.1016/j.ijhydene.2011.07.060