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Thesis presentation of Erasmus student Yago Fernandez Alonso - ECE
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  • Συντάχθηκε 03-07-2025 14:35 Πληροφορίες σύνταξης

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    Τόπος:
    Σύνδεσμος τηλεδιάσκεψης
    Έναρξη: 09/07/2025 11:00
    Λήξη: 09/07/2025 12:00

    TECHNICAL UNIVERSITY OF CRETE
    School of Electrical and Computer Engineering 
    Undergraduate Program

    Presentation of the Diploma Thesis

    by Erasmus student Yago Fernandez Alonso titled:

    Design of a zero-emission building with Renewable Energy Sources in Simulink / Matlab

    Thesis committee
    Professor Eftychios Koutroulis (supervisor)
    Assistant Professor Georgios Peppas
    Professor Daniel Morinigo-Sotelo (University of Valladolid)

    Abstract 
    This study is focused on the design and simulation of a residential zero-emission building (ZEB) equipped with integrated Renewable Energy Sources (RES), such as photovoltaic (PV) panels, and an energy management algorithm. The primary goal is to optimize the building’s energy performance by increasing the self-consumption of locally generated Renewable Energy Sources (RES) and minimizing reliance on the power grid. A dynamic simulation model was developed in MATLAB/Simulink to replicate realistic building energy behaviour, considering actual energy loads such as heating, ventilation, air conditioning (HVAC), and household appliances. A smart energy management algorithm was implemented as a MATLAB model to control the use of energy based on supply-demand balance, efficiency goals, and economic incentives. The simulation was applied to a building with a total internal volume of 1200 m³, and its its performance was evaluated under three representative weather conditions for a place in Valladolid (41.626, -4.732): a typical day, the coldest day of the year, and the hottest day of the year. For each condition, a baseline configuration was analysed alongside two optimization strategies—one aimed at minimizing energy deficits and the other at maximizing economic return through energy exports to the grid. The results revealed that both optimizers significantly improved energy use performance across all scenarios. On a typical day, energy deficits were reduced by approximately 45%, while on the coldest and hottest days, the improvements reached aroundpproximately 22% and 62%, respectively. These findings demonstrate that even under challenging conditions, strategic energy management can lead to meaningful reductions in energy waste and unmet demand. Overall, this work confirms that the combination of RES integration, realistic load modelling, and smart control strategies can significantly enhance the environmental and economic performance of residential buildings. The proposed methodology contributes to the broader goal of decarbonizing the built environment and provides a foundation for the design of future zero-emission residential systems.



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