Floating photovoltaic (FPV) systems improve photovoltaic performance through water-induced cooling; however, the influence of cooling-model parameters on energy production remains insufficiently quantified. This letter proposes a computationally efficient FPV assessment framework by combining Seasonal Typical Meteorological Days with a semi-empirical cooling-model driven by wind speed, humidity and a constant cooling term. Unlike conventional studies that employ fixed cooling coefficients, the proposed formulation treats these coefficients as engineering design parameters and systematically evaluates their influence. Simulations using NASA POWER meteorological data show that the FPV achieves a 3.7% annual energy gain compared with a conventional PV, with the largest improvement occurring during summer. The wind-speed cooling coefficient is the dominant factor governing FPV performance.
