ANNOUNCEMENTS
The designing of an optimum PV plant needs to understand more about the solar resource at the location and effects of the weather and different technical losses on the performance of the plant. The energy yield from the two software with different meteo sets showed the uncertainty in the simulated values while taking same values for the losses in both the software. The temperature loss is one of the significant parameters which accounts from 9-15% according to the mounting structures. So, I wanted to analyse the effect of temperature on the energy generation of the Plant. The factors affect the module temperature like irradiance, ambient temperature and windspeed. The took the weather data from NREL. The temperature is analysed by comparing the three temperature like static model and two dynamic model which consider windspeed in their empirical formula. The percentage of change from static model to the dynamic will tell the effect of wind speed.
After this, estimate the power loss due to the temperature using the thermal coefficient for the three temperature models. The power deviation per degree from static model to dynamic model tells about the effect of temperature and wind speed on the power. Calculation of the final output power after eliminating losses gives the understanding about the actual capacity needed to generate the required capacity. The frequency distribution of the power and compare it with the percentage of loading with different sizes of inverter and I choose the inverter that improves the performance and energy yield by moves the number of working hours of the inverter into the maximum efficiency range. To shows the choosing the inverter of 280 watts instead of 250 watts will be economical by showing positive cash flow.
Keywords- Irradiance, Wind speed, Module temperature, Temperature models, Optimum design, Inverter selection
