Fizični, geografski, tehnični in ekonomski potencial za optimalno konfiguracijo fotonapetostnih sistemov s pomočjo digitalnih posnetkov območja : doktorska disertacija

slovenian

doktorska dela

2021

economic potential   optimal configuration   optimization   photovoltaic potential   photovoltaic system

Univerza v Mariboru, Fakulteta za energetiko

The doctoral dissertation deals with the photovoltaic potential of the selected area. A method is used to determine the photovoltaic potential in four categories: physical, geographical, technical, and economic potential. The doctoral dissertation deals with the photovoltaic potential holistically, i.e. from both a technical and economic point of view. Individual potentials were determined based on a 20-year average of measurements of the density of global and diffuse solar radiation on a horizontal surface in the vicinity of the considered area. The economic potential was determined, taking into account the hour electricity price trends for seven years. The influence of surface orientation and inclination on the photovoltaic potential for each potential category is shown. Based on the calculations of the maximum value of potentials when changing the surface configuration, the optimal configuration of the photovoltaic system for each individual potential was determined. In addition to this method, the optimization method differential evolution is also presented, determining the optimal configuration in an innovative and fast way. For each individual potential, the digital surface model generated from the LiDAR data shows which areas have the greatest potential. The emphasis is on roofs. From the areas that would be potentially suitable for installing a photovoltaic system, the individual potential for each month of the year, for the whole year, and the annual average is calculated. The shading of the surroundings is also taken into account. It has been found that the price of electricity has a significant impact on the economic potential of a photovoltaic system. This also results in a change in the optimal configuration parameters compared to the method, which to determine the optimal configuration parameters of photovoltaic systems takes into account only the maximum production of electricity or technical potential.

07.08.2023