Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria
The main goal of this paper is to design an efficient renewable energy system that meets the required electricity demands. Consequently, it is essential to find the most cost-effective hybrid system that can reduce energy costs and provide access to the required electricity generation. An internatio...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123023004486 |
| _version_ | 1797682501610635264 |
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| author | Amr A. Youssef Shimaa Barakat Elsayed Tag-Eldin M.M. Samy |
| author_facet | Amr A. Youssef Shimaa Barakat Elsayed Tag-Eldin M.M. Samy |
| author_sort | Amr A. Youssef |
| collection | DOAJ |
| description | The main goal of this paper is to design an efficient renewable energy system that meets the required electricity demands. Consequently, it is essential to find the most cost-effective hybrid system that can reduce energy costs and provide access to the required electricity generation. An international school in New Administrative Capital in New Cairo, Egypt was chosen as a study area for the proposed system. Solar, wind, and biomass resources are abundant at the chosen location throughout the year. Using the HOMER (hybrid optimization model for electric renewables) software, eight distinct models of renewable energy hybrid systems were designed, simulated, and optimized to meet the required load in this study. For wind and solar resources, the National Aeronautics and Space Administration (NASA) provided the input data; for biomass resources, real-time field data were used for the selected study site. In this study, lithium-ion and lead acid batteries were used to choose the most cost-effective option. The hybrid power system's PV, wind, and biomass generators were utilized to meet the load demand. The overabundance of energy requests was utilized to charge the battery banks as required when accessible to cover the load requirements during times of low energy production. |
| first_indexed | 2024-03-12T00:00:38Z |
| format | Article |
| id | doaj.art-fd8f827289a14f44ba03b6752783556c |
| institution | Directory Open Access Journal |
| issn | 2590-1230 |
| language | English |
| last_indexed | 2024-03-12T00:00:38Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj.art-fd8f827289a14f44ba03b6752783556c2023-09-18T04:30:45ZengElsevierResults in Engineering2590-12302023-09-0119101321Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteriaAmr A. Youssef0Shimaa Barakat1Elsayed Tag-Eldin2M.M. Samy3Electrical Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt; Faculty of Engineering, Al-Baha University, Al-Baha, Saudi ArabiaElectrical Engineering Department, Faculty of Engineering, Beni-suef University, Beni-Suef, EgyptFaculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, EgyptElectrical Engineering Department, Faculty of Engineering, Beni-suef University, Beni-Suef, Egypt; Corresponding author.The main goal of this paper is to design an efficient renewable energy system that meets the required electricity demands. Consequently, it is essential to find the most cost-effective hybrid system that can reduce energy costs and provide access to the required electricity generation. An international school in New Administrative Capital in New Cairo, Egypt was chosen as a study area for the proposed system. Solar, wind, and biomass resources are abundant at the chosen location throughout the year. Using the HOMER (hybrid optimization model for electric renewables) software, eight distinct models of renewable energy hybrid systems were designed, simulated, and optimized to meet the required load in this study. For wind and solar resources, the National Aeronautics and Space Administration (NASA) provided the input data; for biomass resources, real-time field data were used for the selected study site. In this study, lithium-ion and lead acid batteries were used to choose the most cost-effective option. The hybrid power system's PV, wind, and biomass generators were utilized to meet the load demand. The overabundance of energy requests was utilized to charge the battery banks as required when accessible to cover the load requirements during times of low energy production.http://www.sciencedirect.com/science/article/pii/S2590123023004486Cost-effective hybrid systemRenewable energy resourcesHOMER softwareLithium-ion and lead acid batteries |
| spellingShingle | Amr A. Youssef Shimaa Barakat Elsayed Tag-Eldin M.M. Samy Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria Results in Engineering Cost-effective hybrid system Renewable energy resources HOMER software Lithium-ion and lead acid batteries |
| title | Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria |
| title_full | Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria |
| title_fullStr | Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria |
| title_full_unstemmed | Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria |
| title_short | Islanded green energy system optimal analysis using PV, wind, biomass, and battery resources with various economic criteria |
| title_sort | islanded green energy system optimal analysis using pv wind biomass and battery resources with various economic criteria |
| topic | Cost-effective hybrid system Renewable energy resources HOMER software Lithium-ion and lead acid batteries |
| url | http://www.sciencedirect.com/science/article/pii/S2590123023004486 |
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