| Autor: |
Juhari, M.B.M., Samizee, A., Azrulhisham, E.A., Nizam, S. |
| Zdroj: |
Applied Mechanics and Materials; August 2015, Vol. 785 Issue: 1 p616-620, 5p |
| Abstrakt: |
Solar energy is considered as one of the solution to the worldwide depletion of fossil fuel resources as well as the economic alternatives in protecting the atmosphere from the adverse consequences of global warming. Nevertheless solar power is often criticized because the output power generated is variable and virtually uncontrollable. Potential analysis on introduction of photovoltaic system at particular site however requires the knowledge of solar irradiance and photovoltaic power distributions. This paper will focus on the possibility in applying statistical moments approach in solar irradiance and photovoltaic power distribution evaluation. Applying the first to forth statistical moments, the density function approximation of the parameters from 5MW grid connected Photovoltaic system were evaluated using the Pearson system. This method is based on the relationship between the first four moments of the distribution where the probability distribution is estimated by equating their theoretical moments with the moments of empirical distributions. Application of various statistical moments has the advantage in estimating the potential of photovoltaic system in view of dynamic changes of skewness and kurtosis coefficients of solar power irradiance distributions. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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