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Abstract This work presents the developed software for designing photovoltaic self-consumption systems using free and open-access and Python based Oemof packages. The program allows users to design their own systems, specifying variables, and obtaining simulation results. In includes de possibility of incorporating storage systems that can optimize performance and energy flows, making the systems more efficient and cost-effective. The software enables to analyse various scenarios, including grid interaction and battery storage, to determine the best configurations for different conditions. The approach aims to help reducing energy dependence on traditional resources, promoting the use of renewable energy, and providing significant economic and environmental benefits to communities. By enabling users to actively participate in the design process, the software fosters greater autonomy and supports the creation of sustainable energy solutions tailored to specific needs. The software has been validated by performing several simulation cases, promising effectiveness and reliability for real-world applications. Key words: photovoltaic, self-consumption, Python software, system design, renewable energy.
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