Examinando por Autor "Snytko, Anastasiia"
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Ítem Performance analysis indices for Rooftop Solar Photovoltaic system(IEEE, 2023-07-09) Jiménez-Castillo, Gabino; Martínez-Calahorro, Antonio Javier; Rus-Casas, Catalina; Snytko, Anastasiia; Muñoz-Rodríguez, Francisco JoséThe integration of rooftop solar photovoltaic systems into the electricity grid may be crucial in the current energy scenario. At present, this type of electricity generation is cost-competitive in many countries due to its modularity, the availability of the solar resource and the cost of the components, without the need for subsidies. Rooftop Solar Photovoltaic systems have the potential to cover 20-30% of electricity demand in Spain. In order to assess the potential of this technology and to facilitate the deployment of this type of systems, it is very important to provide a proper performance analysis of PV Rooftops systems from monitored data. In this way, self-consumption and self-sufficiency indices are commonly used, however they may not provide a complete assessment. Hence, indices such as the self-sufficiency index for sunshine hours, self-production index and grid-liability rate are also analyzed. These indices estimate the performance of rooftop solar PV systems and provide maximum and minimum values when estimated as a function of array peak power. Moreover, new indices such as the self-production index and the grid-liability rate for sunshine duration have been developed to estimate the system's performance during sunshine hours. These indices can complement the commonly used metrics and improve the performance analysis from monitored data. Moreover, they may also help determine the proper size of the array power of these systems in the industrial sector. The metrics are evaluated using data from four canning industries equipped with rooftop solar photovoltaic systems that have been monitored for a year.Ítem Performance analysis indices for Rooftop Solar Photovoltaic system(IEEE, 2023-09-14) Jiménez-Castillo, Gabino; Martínez-Calahorro, Antonio Javier; Rus-Casas, Catalina; Snytko, Anastasiia; Muñoz-Rodríguez, Francisco JoséThe integration of rooftop solar photovoltaic systems into the electricity grid may be crucial in the current energy scenario. At present, this type of electricity generation is costcompetitive in many countries due to its modularity, the availability of the solar resource and the cost of the components, without the need for subsidies. Rooftop Solar Photovoltaic systems have the potential to cover 20-30% of electricity demand in Spain. In order to assess the potential of this technology and to facilitate the deployment of this type of systems, it is very important to provide a proper performance analysis of PV Rooftops systems from monitored data. In this way, self-consumption and self-sufficiency indices are commonly used, however they may not provide a complete assessment. Hence, indices such as the self-sufficiency index for sunshine hours, self-production index and grid-liability rate are also analyzed. These indices estimate the performance of rooftop solar PV systems and provide maximum and minimum values when estimated as a function of array peak power. Moreover, new indices such as the self-production index and the grid-liability rate for sunshine duration have been developed to estimate the system's performance during sunshine hours. These indices can complement the commonly used metrics and improve the performance analysis from monitored data. Moreover, they may also help determine the proper size of the array power of these systems in the industrial sector. The metrics are evaluated using data from four canning industries equipped with rooftop solar photovoltaic systems that have been monitored for a year.Ítem Rooftop photovoltaic systems. New parameters for the performance analysis from monitored data based on IEC 61724(Elsevier, 2023-06-13) Muñoz-Rodríguez, Francisco José; Snytko, Anastasiia; de-la-Casa-Hernández, Jesús; Rus-Casas, Catalina; Jiménez-Castillo, GabinoRooftops Photovoltaic systems present a feasible choice to mitigate the adverse effects of electricity costs and climate crisis. Different parameters have been defined to analyse this type of systems from monitored data. However, they only focus on the matching capability between the load and AC generation profiles together with the utility grid usage. Therefore, they do not consider the performance of the PV generator and the rest of components of the photovoltaic system. Moreover, although IEC-61724 standard defines common criteria to assess the performance of photovoltaic systems, this standard does not consider calculated parameters and yields adapted to the idiosyncrasy of Rooftops Photovoltaic systems. Thus, in this paper it will be provided new calculated parameters and yields (i.e. a self consumption yield and a to grid yield) and performance ratios (i.e. self-consumption Performance Ratio together with a to grid Performance Ratio) which combine selfconsumption with system performance providing a proper analysis from monitored data. Moreover, they may facilitate comparisons between installations with different array power. These new parameters may not only help to ensure that design objectives have been achieved but they may better assess the potential of this technology which are key issues for the deployment of this type of facilities.