Algoritem za celostno vrednotenje fotovoltaičnega in vetrnega potenciala večjih geografskih območij : doktorska disertacija

slovenian

doktorska dela

2016

Univerza v Mariboru, Fakulteta za elektrotehniko računalništvo in informatiko

In this doctoral dissertation, a new algorithm is proposed for the estimation of photovoltaic and wind potential over large area, which is represented with a topological grid structure that is constructed from high-resolution laser-scanned LiDAR data. At first, the position of the Sun relative to the geographic location is calculated, as well as shadowing and anisotropic irradiance, by considering multiannual measurements of direct and diffuse irradiance. Calculated instantaneous global irradiance is integrated with respect to time using the global irradiance-dependent nonlinear efficiency characteristics of a given photovoltaic system. In the second part of the dissertation, a new methodology is presented for the estimation of wind potential over the constructed topological grid, in which the computer simulation of wind flow represented as clusters of air molecules is performed by using the Lagrangian method of smoothed particle hydrodynamics and Reynolds averaged turbulence model. In order to implement the estimation of wind flow, multiannual meteorological measurements of the wind velocity and direction are also considered, which are then used for constructing logarithmic wind profile that defines the initial conditions of the wind particles. In order to calculate the output power the nonlinear characteristics of wind systems are used, which depend on the calculated wind velocities. The calculated power values can then be integrated with respect to time in order to forecast electrical energy production. Both methodologies are merged into the proposed algorithm, which we implement on a graphics processing unit using CUDA technology, in order to perform the calculations in an acceptable time. Within the experimental part of the doctoral thesis, the accuracy of the calculation based on the input data is evaluated by comparing the calculated values with independent measurements. The proposed algorithm was also applied over the large geographical area of Maribor, in order to estimate its photovoltaic and wind potentials. The estimated photovoltaic potential has an agreement In this doctoral dissertation, a new algorithm is proposed for the estimation of photovoltaic and wind potential over large area, which is represented with a topological grid structure that is constructed from high-resolution laser-scanned LiDAR data. At first, the position of the Sun relative to the geographic location is calculated, as well as shadowing and anisotropic irradiance, by considering multiannual measurements of direct and diffuse irradiance. Calculated instantaneous global irradiance is integrated with respect to time using the global irradiance-dependent nonlinear efficiency characteristics of a given photovoltaic system. In the second part of the dissertation, a new methodology is presented for the estimation of wind potential over the constructed topological grid, in which the computer simulation of wind flow represented as clusters of air molecules is performed by using the Lagrangian method of smoothed particle hydrodynamics and Reynolds averaged turbulence model. In order to implement the estimation of wind flow, multiannual meteorological measurements of the wind velocity and direction are also considered, which are then used for constructing logarithmic wind profile that defines the initial conditions of the wind particles. In order to calculate the output power the nonlinear characteristics of wind systems are used, which depend on the calculated wind velocities. The calculated power values can then be integrated with respect to time in order to forecast electrical energy production. Both methodologies are merged into the proposed algorithm, which we implement on a graphics processing unit using CUDA technology, in order to perform the calculations in an acceptable time. Within the experimental part of the doctoral thesis, the accuracy of the calculation based on the input data is evaluated by comparing the calculated values with independent measurements. The proposed algorithm was also applied over the large geographical area of Maribor, in order to estimate its photovoltaic and wind potentials. The estimated photovoltaic potential has an agreement of 97%, while the agreement of the estimated wind potential is 92%.of the estimated wind potential is 92%.

07.08.2023