Optimizing large-scale solar parks: a case study

Together with the Technical University of Munich and the company renerco plan consult this work takes a closer look at the optimization of solar parks. This thesis focuses on the optimization of the technical design of solar parks located in three distinct geographical regions: Barcelona (Spain), Mu...

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Detalles Bibliográficos
Autor: Krättli Torrens, Walter Emil
Tipo de recurso: tesis de maestría
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/421816
Acceso en línea:https://hdl.handle.net/2117/421816
Access Level:acceso abierto
Palabra clave:Solar panels
Photovoltaic power generation
Panells solars
Energia solar fotovoltaica
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica
Descripción
Sumario:Together with the Technical University of Munich and the company renerco plan consult this work takes a closer look at the optimization of solar parks. This thesis focuses on the optimization of the technical design of solar parks located in three distinct geographical regions: Barcelona (Spain), Munich (Germany), and Billund (Denmark). The objective is to increase the efficiency and performance of these solar parks through implementing modifications from a base case scenario. The optimization process includes adjustments to various parameters such as module orientation (south, east, west), the number of modules per table (rack), row spacing, and the implementation of tracking systems. To achieve this, advanced simulation tools including PVsyst and PVcase are utilized. These tools facilitate the analysis of solar park configurations and their performance under different conditions. The base case scenario serves as a reference point, allowing for comparative analysis of the performance of various optimization strategies. Through systematic modifications and rigorous analysis, this thesis aims to provide insights into the optimization of solar parks in different geographical locations. The results contribute to the advancement of solar photovoltaic technologies, with potential implications for future solar park design and implementation worldwide.