학술논문

Statistical analysis ANOVA and MANOVA of irradiation and temperature database for photovoltaic systems
Document Type
Conference
Source
2020 IEEE International Conference on Industrial Technology (ICIT) Industrial Technology (ICIT), 2020 IEEE International Conference on. :554-559 Feb, 2020
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Databases
Analysis of variance
Terrestrial atmosphere
Solar radiation
Temperature distribution
Radiation effects
Photovoltaic systems
ANOVA
MANOVA
irradiation database
photovoltaic system
Language
ISSN
2643-2978
Abstract
Photovoltaic solar energy has been exploited as a solution to meet the growing demand for electricity through a renewable source of energy. Optimized simulations of photovoltaic systems require the use of accurate solarimetric and climate data. This paper aims to compare the difference in solar radiation and temperature data provided by the NASA SSE and Meteonorm databases with the data measured by a real solarimetric station installed in Campinas, Brazil. Analyzes were performed using statistical methods such as analysis of variance from ANOVA and MANOVA. The analyzes present the hypothesis of equality with the significance of 95 % for each case is not rejected. Hypothesis rejection results occur in MANOVA analysis for temperature and irradiation data with daily data. The paper concludes that NASA SSE data is closest to the actual data.