Cost and size optimization of hybrid solar and hydrogen subsystem using HomerPro software |
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| Affiliation: | 1. Laboratory of Mechanics and Energetics, Faculty of Sciences, Mohammed First University, Oujda, 60000 Morocco;2. Department of Electrical Engineering, EPS Linares, Avenida de la Universidad s/n. 23700 Linares (Jaen), Spain;1. College of Electrical Engineering, Zhejiang University of Water Resources and Electronic Power, Hangzhou, 310018, People''s Republic of China;2. Institute of Rheological Mechanics, Xiangtan University, Hunan, 41105, People''s Republic of China;1. Department of Electrical and Computer Engineering, College of Engineering, Dhofar University, Salalah, Oman;2. University of Tunis El Manar, National Engineering School of Tunis-Tunisia, Research Laboratory of Signal Image and Information Technology, Tunisia;3. Department of Mechanical and Mechatronics Engineering, College of Engineering, Dhofar University, Salalah, Oman;4. Laboratoire de Génie Mécanique, Ecole Nationale d’Ingénieurs de Monastir, Université de Monastir, Tunisia;5. Laboratory of Computer for Industrial Systems, INSAT, University of Carthage, Tunisia;6. Department of Electrical Engineering, ENSIT, University of Tunis, Tunisia;1. School of Science, Shijiazhuang University, Shijiazhuang, Hebei, 050035, China;2. Tajik Technical University, Tajikistan |
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| Abstract: | Hybrid Renewable Energy Systems have been considered as a suitable way to supply electricity. The hybrid energy (Solar-Wind-Storage-hydrogen-diesel) is increasingly used in various applications, especially at isolated sites. This study proposes the optimization and analysis of a stand-alone photovoltaic/battery/fuel cell/electrolyzer/hydrogen hybrid system (HS) to find out the optimal sizes and costs. In the first step, SAM software was used to estimate the global solar irradiance (GHI) for the studied area and to select the best PV, battery and fuel cell components. MATLAB software was handled to predict the power output of the renewable source (PV system) using an Artificial Neural Network (ANN) model. Then, simulation, optimization and techno-economic analysis were carried out in the second step with HomerPro software. Four proposed configurations are optimized in this work and different comparisons have been made regarding the found results. The results of the cost optimization were found to be 50861.21 $ and 0.95657 $ for NCP and COE, respectively. Moreover, the same HS configurations are simulated and optimized under Moroccan climate. |
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| Keywords: | Size and cost optimization Hybrid PV-Hydrogen system Stand-alone Spain |
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