An Analysis on Solar Photovoltaic Technology using IBM SPSS statistics

Abstract

Solar photovoltaic technologies direct absorption of sunlight particles solar energy is useful energy solar photovoltaic technologies like photovoltaics are light photons as electricity as voltage b.v. From the conversion process. As named. This is the photoelectric effect is called this event was first used in 1954. Scientists at bell lab currently when exposed to light work from forming silicon have developed a solar cell that works cost competitiveness in multiple regions and photovoltaic systems for electricity are used extensively to aid in performance. Pv-related goods and equipment generate electricity from the sunshine. Ministry of energy PV photovoltaic technology what it means and how it works PV products and solar devices convert light energy into electrical energy. Single a cell is a photovoltaic device. Various semiconductor materials in PV cells are used. In semiconductor light when exposed, it absorbs light energy in matter called electrons and converts to negatively charged particles. This extra energy turns the electrons into electricity and allows the material to flow through. A variety of PV cells and semiconductor materials are used. Semiconductors when exposed to light, it is of light electrons absorb energy negatively in the sense of called converts to charged particles. Among the several renewable energy technologies, solar photovoltaic (PV) technology is one of the most developed and field-tested. This chapter is designed to provide a thorough introduction to PV technology and to provide the technical information required to comprehend this technology. These extra energy electrons allow current to flow through the material. SPSS statistics is a data management, advanced analytics, multivariate analytics, business intelligence, and criminal investigation developed by IBM for a statistical software package. A long time, spa inc. Was created by IBM purchased it in 2009. The brand name for the most recent versions is IBM SPSS statistics. Dye Sensitized Solar Panels, Perovskite Solar, Quantum Dot, Organic Photovoltaics. The Cronbach's Alpha Reliability result. The overall Cronbach's Alpha value for the model is .609 which indicates 60% reliability. From the literature review, the above 64% Cronbach's Alpha value model can be considered for analysis. The outcome of Cronbach's Alpha Reliability. The model's total Cronbach's Alpha score is.609, which denotes a 60% dependability level. The 64% Cronbach's Alpha value model mentioned above from the literature review may be used for analysis.