PV temperature and performance prediction in free-standing, BIPV and BAPV incorporating the effect of temperature and inclination on the heat transfer coefficients and the impact of wind, efficiency and ageing

A novel compact model is developed to predict the PV temperature T pv , coefficient f which relates with in-plane solar irradiance I and power output P m . The ambient a wind velocity v w on sun-tracking pc-Si c-Si BIPV were monitored. depends explicitly efficiency, heat losses coefficient, implicitly loosely module inclination at low while this effect weakens high prediction provided by means of 5 functions, cater for deviation environmental conditions from Standard Operating Conditions, operating natural ageing, geometry cell technology. system has relative error 2.6% temperatures around NOCT, may overestimate up 1.4 °C. Similarly, −2.1% underestimation 1.6 predicted 1.9% near its nominal value. compared 3 well-known models also applied other BIPV/BAPV configurations in various countries proving wide applicability, accuracy universality. • universal developed. Validated measured data applicable both free-standing BIPV. Incorporates effects deviations SOC. High Best performance comparison models.