147939 20260217205541.0 doi 10.3390/en17236117 sideral 141417 ART-2024-141417 eng Tejero-Gómez, Juan A. Universidad de Zaragoza (orcid)0000-0002-3959-6580 Analysis of Grid-Scale Photovoltaic Plants Incorporating Battery Storage with Daily Constant Setpoints 2024 Access copy available to the general public Unrestricted A global energy transition is crucial to combat climate change, involving a shift from fossil fuels to renewable sources and low-emission technologies. Solar photovoltaic technology has grown exponentially in the last decade, establishing itself as a cost-effective and sustainable option for electricity generation. However, its large-scale integration faces challenges due to its intermittency and lack of dispatchability. This study evaluates, from an energy perspective, the case of hybrid photovoltaic (PV) plants with battery storage systems. It addresses an aspect little explored in the literature: the sizing of battery storage to maintain a steady and constant 24 h power supply, which is usually avoided due to its high cost. Although the current economic feasibility is limited, the rapidly falling price of lithium batteries suggests that this solution could be viable in the near future. Using Matlab simulations, the system’s ability to deliver a constant energy production of electricity is assessed. Energy indicators are used to identify the optimal system size under different scenarios and power setpoints. The results determine the optimal storage size to supply a constant power that covers all or a large part of the daily PV generation, achieving steady and reliable electricity production. In addition, the impact of using setpoints at different time horizons is assessed. This approach has the potential to redefine the perception of solar PV, making it a dispatchable energy source, improving its integration into the electricity grid, and supporting the transition to more sustainable and resilient energy systems. info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 3.2 2024 ENERGY & FUELS 112 / 182 = 0.615 2024 Q3 T2 0.713 2024 Engineering (miscellaneous) 2024 Q1 Electrical and Electronic Engineering 2024 Q2 Energy (miscellaneous) 2024 Q2 Renewable Energy, Sustainability and the Environment 2024 Q2 Fuel Technology 2024 Q2 Control and Optimization 2024 Q2 Energy Engineering and Power Technology 2024 Q2 7.3 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Bayod-Rújula, Ángel A. Universidad de Zaragoza (orcid)0000-0002-1704-1584 5009 535 Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Ingeniería Eléctrica 5009 X Universidad de Zaragoza Dpto. Ingeniería Eléctrica Área Técnica. Lab. y Talleres 17, 23 (2024), 6117 [23 pp.] ENERGIES Energies 1996-1073 3805438 http://zaguan.unizar.es/record/147939/files/texto_completo.pdf Versión publicada 2729430 http://zaguan.unizar.es/record/147939/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:147939 articulos driver 2026-02-17-20:36:36 ARTICLE