Unit:
Κατεύθυνση Διαχείριση Δεδομένων, Πληροφορίας και ΓνώσηςΠληροφορική
Author:
Lavdakis Nikolaos
Supervisors info:
Εμμανουήλ Κουμπαράκης, Καθηγητής ΕΚΠΑ
Δρ. Παναγιώτης Κοσμόπουλος, Εντεταλμένος Ερευνητής ΕΑΑ
Δρ. Ιωάννης Παπουτσής, Επίκουρος Καθηγητής ΕΜΠ
Original Title:
Solar irradiation estimation through graphic processing unit techniques encompassing Urban Digital Twins
Translated title:
Solar irradiation estimation through graphic processing unit techniques encompassing Urban Digital Twins
Summary:
This thesis synthesizes two pivotal sections that form the core of a comprehensive study focused on the integration of photovoltaic (PV) systems within urban environments, specifically targeting the metropolitan area of Athens. Recognizing the urgent necessity to address climate change and energy crises, this research explores the potential of solar energy, particularly through PV panels, as a sustainable alternative. It emphasizes the role of solar systems in aiding regions internationally in transitioning to low-carbon energy technologies by 2025. The introduction of digital twins, advanced computational technologies, and the Internet of Things (IoT) is highlighted as crucial in optimizing the distribution and management of solar energy within urban settings, particularly within the concept of smart cities.
This thesis aims to develop a high-fidelity digital twin of Athens to enhance the precision of solar irradiation estimations on urban rooftops, leveraging cutting-edge technologies such as RTX tracing GPUs and NVIDIA Omniverse USD. By generating and calibrating synthetic imagery against actual measurements, the study seeks to overcome the challenges associated with traditional solar potential estimation methods, offering a novel approach that could significantly impact urban energy planning and sustainability.
Ultimately, this research endeavors to validate a proof of concept (PoC) for using digital twin technology in solar irradiance estimation, promising to revolutionize urban planning and the integration of PV systems into the energy grid. The anticipated outcomes include a more efficient and accurate tool for solar energy management in urban areas, contributing to the broader goal of sustainable development and climate neutrality.
Main subject category:
Science
Keywords:
Digital Twins, Solar Irradiation Estimations with GPU RTX, Computer Vision, Real with Synthetic Data Calibration, NVIDIA USD Composer Omniverse
File:
File access is restricted until 2024-10-17.
Solar Irradiation Estimation through Graphic Processing Unit techniques encompassing Urban Digital Twins_Nikolaos_Lavdakis.pdf
4 MB
File access is restricted until 2024-10-17.
