8000 UrbTat (Urbano Tataranni) · GitHub
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UrbTat/README.md

Hi, I'm Urbano Tataranni! 👋

Welcome to my GitHub profile! I am a Mechanical Engineering graduate currently pursuing an MSc in Power Engineering at the Technical University of Munich (TUM). My focus is on sustainable energy technologies and data-driven energy management. I am passionate about solving tomorrow's challenges with innovative and interdisciplinary solutions.

🛠️ Key Skills

  • Programming Languages: Python, MATLAB, Modelica
  • Technologies and Frameworks: Scikit-learn, PyTorch, pandapower, PYOMO, TESpy, SciPy, FLORIS

🌟 Featured Projects

Research Assistant

  • Description: Contributing to the Heat2Q project at TUM. Focused on neighborhood energy optimization to support Germany’s greenhouse gas reduction targets. Responsibilities included coding, sensitivity analysis, modeling, and reviewing academic papers.
  • Technologies: City Energy Analyst, Modelling and Simulation, Geographic Information Systems (GIS), Python.

Lab in Energy Informatics

  • Description: Applied machine learning and optimization methods to enhance distributed energy generation and manage flexible loads in the energy sector.
  • Technologies: Python for data analysis and machine learning.

🏁✅ Completed Projects

Advanced Seminar: Thermal Energy Systems

  • Description: Modeled thermodynamic cycles using TESpy for applications in solar thermal power plants. Conducted optimizations based on real power plant characteristics.
  • Technologies: Python, TESpy.

Lab in Design of Wind Farms

  • Description: Simulated wind farms with a focus on wake behavior using FLORIS. Evaluated farm performance and conducted cost analyses using LandBOSSE.
  • Technologies: Python, FLORIS, LandBOSSE.

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  1. architecture-building-systems/CityEnergyAnalyst architecture-building-systems/CityEnergyAnalyst Public

    The City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.

    Python 219 72

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