Investigating the Effect of Shading on the Capacity Factor of Floating Photovoltaic Systems

Abstract

In this study, remote sensing (RS) was used to determine the 20-year area and shoreline changes of Demirköprü Dam reservoir. Using a geographical information system (GIS) solar analysis tool, annual and monthly total global horizontal irradiance (GHI) values were calculated within the area of the reservoir’s shorelines based on 20-years of observations. The regional theoretical capacity factor (RTCF) proposed in this study was modelled using total annual GHI values. The water surface was divided into four regions using RTCFs 94.97%, 4.92%, 0.08%, and 0.02% of the total water surface area were classified as RTCF21, RTCF20, RTCF19, and RTCF18, respectively. The annual electrical energy potentials per unit for each RTCF were calculated. The novel method developed in this study for determining the optimum location of FPV SPPs to be installed on water surfaces reveals the importance of evaluating land topography and considering annual patterns of shading.

Keywords

• Floating photovoltaic
• geographical information system
• regional theoretical capacity factor
• remote sensing
• solar analysis

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