Desarrollo de una herramienta software para la optimización del uso residencial de sistemas fotovoltaicos
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2022-09-09
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Jaén: Universidad de Jaén
Resumen
En el reto que supone la transición de la generación energética a partir de combustibles fósiles a la generación
energética a partir de fuentes de energía renovable, la tecnología fotovoltaica toma un importante papel.
Uno de las aplicaciones más importantes en este desarrollo viene por parte de las instalaciones fotovoltaicas de
autoconsumo. El objetivo de este tipo de instalaciones es autoconsumir la energía que es capaces de generar.
Este es el caso de las instalaciones residenciales y de la mayoría de conexión a red hasta 100 kW.
En este contexto, nace la necesidad para el usuario residencial el desarrollo de una herramienta que ayude a
elegir el momento del día más rentable para consumir energía teniendo en cuenta el sistema fotovoltaico
instaldo. Esa necesidad es la que intenta cubrir el presente trabajo de fin de grado
In the challenge of the transition from fossil fuel power generation to power generation from renewable energy sources, photovoltaic technology plays an important role. One of the most important applications in this development comes from self-consumption photovoltaic installations. The objective of this type of installation is to self-consume the energy it is capable of generating. This is the case of residential installations and most grid-connected installations up to 100 kW. In this context, the need arises for the residential user to develop a tool that helps to choose the most profitable time of the day to consume energy taking into account the installed photovoltaic system. This need is the one that the present work of end of degree tries to cover.
In the challenge of the transition from fossil fuel power generation to power generation from renewable energy sources, photovoltaic technology plays an important role. One of the most important applications in this development comes from self-consumption photovoltaic installations. The objective of this type of installation is to self-consume the energy it is capable of generating. This is the case of residential installations and most grid-connected installations up to 100 kW. In this context, the need arises for the residential user to develop a tool that helps to choose the most profitable time of the day to consume energy taking into account the installed photovoltaic system. This need is the one that the present work of end of degree tries to cover.