In this thesis, performance of the PV system on the facade of the Oseana building is
evaluated. The thesis was done at the Institute for Energy Technology (IFE), which is
situated in Kjeller, Norway. The building of the PV system that is being analyzed in this
thesis is situated in Osøyro, Os Kommune, which is located south of Bergen. The analysis
was carried out by modelling the building and the PV system in PVsyst, a software package
specifically used for sizing, simulation and analysis of complete PV systems. Simulations
were performed on user-defined models based on the original system, whilst considering
different cases, the results from these simulations were compared to the inverter output
data, and conclusions were derived.
The building with the PV system under study has a unique architecture, having a curved
facade with the panels mounted on this curved facade. The facade also has a walkway
coming out of the third floor window, which causes shading. The effects of the shading
caused by the walkway were analyzed. Simulations were carried out for different cases and
the results were compared to derive conclusions.
Different weather data sources were considered and used in the base simulations to
identify the most relevant data source. Once the best data source was identified, further
simulations were carried out to generate outputs such as the system’s annual yield, losses
and performance ratio. These simulation outputs were then compared with the actual
annual outputs of the system. The performance ratios of the simulated systems, with and
without the walkway are obtained and a comparison between them is made. The probable
values of global horizontal irradiance are calculated and these values were compared with
the annual yield of the system to check if the data would match. Probability simulations
were also carried out to determine the percentage chance that the system would yield a
certain output value in any given year. Furthermore, the orientation of the PV plane of the
PV system was changed by altering the tilt angles
2017.