Ambient and Solar Data Measurements at NHSC and Predict PV Panel Electrical Output

Ambient and Solar Data Measurements at NHSC and Predict PV Panel Electrical Output Abstract: The performance of a PV panel varies based on ambient conditions and solar radiation. The fundamental basis of this research is to collect measurements each day that consists of a station with three different sensors that include an anemometer to measure the direction, gusts, and speed of the wind; a pyranometer to measure solar radiation, and a thermometer to measure the temperature and humidity of the surrounding environment that stored within the internal data logger of each sensor. With this data, a basic PV panel model within the location is predicted of its electrical output based on the conditions of the day. The measured data also will be compared to the typical meteorological year (TMY) and the plotted comparison is demonstrated in this research. The importance of this research is to develop an effective system with PV panels that would efficiently capture the original lost energy from the solar radiation and convert it to thermal energy. The thermal energy captured can further be used as a renewable energy source that does not emit greenhouse gases.