A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer
Abstract The photovoltaic (PV)/diesel hybrid system (PV/D-HS) combines solar PV panels with a diesel generator (DG) to meet energy demands, especially in industrial operations. This study introduces an improved energy management strategy designed to optimize the performance of PV/D-HS by reducing di...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-87716-y |
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| author | Rania G. Mohamed Amal A. Hassan Shady H. E. Abdel Aleem |
| author_facet | Rania G. Mohamed Amal A. Hassan Shady H. E. Abdel Aleem |
| author_sort | Rania G. Mohamed |
| collection | DOAJ |
| description | Abstract The photovoltaic (PV)/diesel hybrid system (PV/D-HS) combines solar PV panels with a diesel generator (DG) to meet energy demands, especially in industrial operations. This study introduces an improved energy management strategy designed to optimize the performance of PV/D-HS by reducing diesel consumption, increasing solar energy utilization, and minimizing environmental impact. The strategy dynamically manages power distribution between the PV panels and the DG, adapting to changing solar conditions and energy demands. Doing so reduces the system’s reliance on diesel, improves operational efficiency, and supports the integration of cleaner energy sources. Simulation results show significant improvements over traditional approaches: carbon emissions decreased from 62 kg/day with a standalone diesel generator to 38 kg/day, representing a 38% reduction. The solar energy fraction (SEF) increases from 12 to 35%, a 23% improvement in solar energy utilization. These results demonstrate the potential of the proposed strategy to enhance sustainability by lowering greenhouse gas emissions, reducing dependence on fossil fuels, and advancing global efforts to combat climate change. In addition to environmental benefits, the approach reduces operational costs and improves the system’s reliability, making it a practical solution for industrial energy needs. |
| format | Article |
| id | doaj-art-07949426495748dbb7f77cc1bec4dfda |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-07949426495748dbb7f77cc1bec4dfda2025-02-09T12:37:34ZengNature PortfolioScientific Reports2045-23222025-02-0115112410.1038/s41598-025-87716-yA modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizerRania G. Mohamed0Amal A. Hassan1Shady H. E. Abdel Aleem2Department of Electrical Engineering, Institute of Aviation Engineering and TechnologyDepartment of Photovoltaic Cells, Electronics Research InstituteDepartment of Electrical Engineering, Institute of Aviation Engineering and TechnologyAbstract The photovoltaic (PV)/diesel hybrid system (PV/D-HS) combines solar PV panels with a diesel generator (DG) to meet energy demands, especially in industrial operations. This study introduces an improved energy management strategy designed to optimize the performance of PV/D-HS by reducing diesel consumption, increasing solar energy utilization, and minimizing environmental impact. The strategy dynamically manages power distribution between the PV panels and the DG, adapting to changing solar conditions and energy demands. Doing so reduces the system’s reliance on diesel, improves operational efficiency, and supports the integration of cleaner energy sources. Simulation results show significant improvements over traditional approaches: carbon emissions decreased from 62 kg/day with a standalone diesel generator to 38 kg/day, representing a 38% reduction. The solar energy fraction (SEF) increases from 12 to 35%, a 23% improvement in solar energy utilization. These results demonstrate the potential of the proposed strategy to enhance sustainability by lowering greenhouse gas emissions, reducing dependence on fossil fuels, and advancing global efforts to combat climate change. In addition to environmental benefits, the approach reduces operational costs and improves the system’s reliability, making it a practical solution for industrial energy needs.https://doi.org/10.1038/s41598-025-87716-yArtificial protozoa optimizerModified energy management strategyHybrid systemPhotovoltaicDiesel generatorsMulti-objective optimization |
| spellingShingle | Rania G. Mohamed Amal A. Hassan Shady H. E. Abdel Aleem A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer Scientific Reports Artificial protozoa optimizer Modified energy management strategy Hybrid system Photovoltaic Diesel generators Multi-objective optimization |
| title | A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer |
| title_full | A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer |
| title_fullStr | A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer |
| title_full_unstemmed | A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer |
| title_short | A modified energy management strategy for PV/diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer |
| title_sort | modified energy management strategy for pv diesel hybrid system to reduce diesel consumption based on artificial protozoa optimizer |
| topic | Artificial protozoa optimizer Modified energy management strategy Hybrid system Photovoltaic Diesel generators Multi-objective optimization |
| url | https://doi.org/10.1038/s41598-025-87716-y |
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