Abstract
The paper presents a photovoltaic system auto sizing algorithm with irradiance and shading calculation, which uses the photovoltaic geographical information system database. This calculation step is a very labor intensive task, which require a lot of iterative design time to find the optimum alternative. Based on measurement data, monthly irradiance correction matrixes are simulated to completely describe the yearly irradiance loss caused by shading of the nearby objects. As result, a function between the shaded area and the yearly energy loss can be obtained. Furthermore, photovoltaic modules can be auto-allocated on a given area according to the boundary conditions. Taking into consideration the photovoltaic installers' pricing system, a complete photovoltaic auto-sizing algorithm can be presented, which greatly reduces the time spent on quotation writing. This paper also includes a battery energy storage sizing algorithm according to the given economic conditions, which extends the capability of the photovoltaic system auto-sizing algorithm.
Author supplied keywords
Cite
CITATION STYLE
Olaszi, B. D., & Ladanyi, J. (2017). PV system auto-sizing with battery energy storage based on GPS coordinates. Pollack Periodica, 12(2), 29–41. https://doi.org/10.1556/606.2017.12.2.3
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.