Exergy and Exergo-Economic Analysis of a Hybrid Renewable Energy System Under Different Climate Conditions

2021 ◽  
Author(s):  
Sonja Kallio ◽  
Monica Siroux
Keyword(s):  
Renewable Energy ◽  
Economic Analysis ◽  
Energy System ◽  
Climate Conditions ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

scholarly journals Techno-Economic Analysis of a Fuzzy Logic Control Based Hybrid Renewable Energy System to Power a University Campus in Japan

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1960
Author(s):  
Tatsuya Hinokuma ◽  
Hooman Farzaneh ◽  
Ayas Shaqour
Keyword(s):  
Fuzzy Logic ◽  
Renewable Energy ◽  
Economic Analysis ◽  
Fuzzy Logic Control ◽  
Energy System ◽  
Levelized Cost Of Electricity ◽  
Logic Control ◽  
Hybrid Renewable Energy System ◽  
Renewable Energy System ◽  
Hybrid Renewable Energy

In order to reduce the load demand of buildings in Japan, this study proposes a grid-tied hybrid solar–wind–hydrogen system that is equipped with a maximum power point tracking (MPPT) system, using a fuzzy logic control (FLC) algorithm. Compared with the existing MPPTs, the proposed MPPT provides rapid power control with small oscillations. The dynamic simulation of the proposed hybrid renewable energy system (HRES) was performed in MATLAB-Simulink, and the model results were validated using an experimental setup installed in the Chikushi campus, Kyushu University, Japan. The techno-economic analysis (TEA) of the proposed system was performed to estimate the optimal configuration of the proposed HRES, subject to satisfying the required annual load in the Chikushi campus. The results revealed a potential of 2% surplus power generation from the proposed HRES, using the FLC-based MPPT system, which can guarantee a lower levelized cost of electricity (LOCE) for the HRES and significant savings of 2.17 million yen per year. The TEA results show that reducing the cost of the solar system market will lead to a reduction in LCOE of the HRES in 2030.

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