Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications
Energy storage is vital for a future where energy generation transitions from a fossil fuels-based one to an energy system that relies heavily on clean energy sources such as photovoltaic (PV) solar energy. To foster this transition, engineers and practitioners must have open-access models of PV sys...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/16/14/5480 |
| _version_ | 1797589429527773184 |
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| author | Joel Alpízar-Castillo Victor Vega-Garita Nishant Narayan Laura Ramirez-Elizondo |
| author_facet | Joel Alpízar-Castillo Victor Vega-Garita Nishant Narayan Laura Ramirez-Elizondo |
| author_sort | Joel Alpízar-Castillo |
| collection | DOAJ |
| description | Energy storage is vital for a future where energy generation transitions from a fossil fuels-based one to an energy system that relies heavily on clean energy sources such as photovoltaic (PV) solar energy. To foster this transition, engineers and practitioners must have open-access models of PV systems coupled with battery storage systems (BESS). These models are fundamental to quantifying their economic and technical merits during the design phase. This paper contributes in this direction by carefully describing a model that accurately represents the power directions and energy dealings between the PV modules, the battery pack, and the loads. Moreover, the general model can be implemented using two different PV generation methods, the Gaussian model and the meteorological data-based model (MDB). We found that the MDB model is more appropriate for short-term analysis compared to the Gaussian model, while for long-term studies, the Gaussian model is closer to measured data. Moreover, the proposed model can reproduce two different energy management strategies: peak-shaving and maximizing self-consumption, allowing them to be used during PV–BESS sizing stages. Furthermore, the results obtained by the simulation are closed when compared to a real grid-tied PV–BESS, demonstrating the model’s validity. |
| first_indexed | 2024-03-11T01:06:34Z |
| format | Article |
| id | doaj.art-37ce7c5f64c246f3993972589ee23b55 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T01:06:34Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-37ce7c5f64c246f3993972589ee23b552023-11-18T19:11:00ZengMDPI AGEnergies1996-10732023-07-011614548010.3390/en16145480Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption ApplicationsJoel Alpízar-Castillo0Victor Vega-Garita1Nishant Narayan2Laura Ramirez-Elizondo3Electrical Engineering Department, Fidélitas University, San Pedro, San José 11501, Costa RicaElectrical Engineering Department, University of Costa Rica, San Pedro, San José 11501-2060, Costa RicaSustainable Energy for All, 1220 Vienna, AustriaDC Systems, Energy Conversion and Storage Group at TU Delft, 2628CD Delft, The NetherlandsEnergy storage is vital for a future where energy generation transitions from a fossil fuels-based one to an energy system that relies heavily on clean energy sources such as photovoltaic (PV) solar energy. To foster this transition, engineers and practitioners must have open-access models of PV systems coupled with battery storage systems (BESS). These models are fundamental to quantifying their economic and technical merits during the design phase. This paper contributes in this direction by carefully describing a model that accurately represents the power directions and energy dealings between the PV modules, the battery pack, and the loads. Moreover, the general model can be implemented using two different PV generation methods, the Gaussian model and the meteorological data-based model (MDB). We found that the MDB model is more appropriate for short-term analysis compared to the Gaussian model, while for long-term studies, the Gaussian model is closer to measured data. Moreover, the proposed model can reproduce two different energy management strategies: peak-shaving and maximizing self-consumption, allowing them to be used during PV–BESS sizing stages. Furthermore, the results obtained by the simulation are closed when compared to a real grid-tied PV–BESS, demonstrating the model’s validity.https://www.mdpi.com/1996-1073/16/14/5480PV–BESS modelingsolar–battery systemsPV–BESS |
| spellingShingle | Joel Alpízar-Castillo Victor Vega-Garita Nishant Narayan Laura Ramirez-Elizondo Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications Energies PV–BESS modeling solar–battery systems PV–BESS |
| title | Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications |
| title_full | Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications |
| title_fullStr | Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications |
| title_full_unstemmed | Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications |
| title_short | Open-Access Model of a PV–BESS System: Quantifying Power and Energy Exchange for Peak-Shaving and Self Consumption Applications |
| title_sort | open access model of a pv bess system quantifying power and energy exchange for peak shaving and self consumption applications |
| topic | PV–BESS modeling solar–battery systems PV–BESS |
| url | https://www.mdpi.com/1996-1073/16/14/5480 |
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