If you do not see this tool, right-click in an empty area of the Panel bar and select it. Open your document and open the Pages panel.ĭo this with the Page Panel tool at Home > Pages orĬlick the Pages tool in the Panel bar. You can use the Pages panel for page operations. The model and analysis method given in this research can provide theoretical support for determining the optimum tilt angle and cleaning cycle of PV module in different clustering regions.You can perform the following page operations: The results are suitable for all the regions that belong to the same regional category with Hangzhou City, Zhejiang Province. Based on this proposed model, the optimum combination of cleaning cycle and tilt angle in Hangzhou City, namely, 15 days and 22°, is determined. To investigate the relationship between the cleaning cycle and the optimum tilt angle, a novel cost evaluation model that considers the power loss and cleaning costs is proposed. The results indicate that the optimum angle of the PV module is affected by the cleaning cycle.

Subsequently, the model is applied to the power generation prediction of PV module in Hangzhou City. Application results in Wuhan City verifies the accuracy and validity of the proposed model with a relative root mean square error (% RMSE) and mean absolute percentage error (MAPE) of 1.9% and 1.66%, respectively. A PV module power generation prediction model is constructed by considering the influence of environmental and installation factors comprehensively and then the optimum tilt angle is further obtained. Initially, this paper performs clustering analysis on the geographical regions of mainland China to obtain 10 geographic regional classifications based on the consistency of impact degree of influencing factors. The factors that affect the power generation of PV module have significant geographical differences and coupling characteristics, and the impact of each influencing factor varies at different installation parameters. This study proposes a methodology to optimize photovoltaic (PV) module tilt angle based on regional clustering and cost evaluation.

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