Modeling and experimental validation of solar collector plant for cooling system using quadratic programming based parameter estimation

In this paper, the dynamic model of a solar thermal system is presented. The model developed based on the first principle approach using mass and energy balances applied to the internal component of the solar thermal system. It accounted nonlinear dynamic behavior characteristic of systems temperature. The unknown parameter on the system determined using parameter estimation was done using optimization technique. The validation has been made with experimental data taken from solar thermal cooling system installed on Universitas Indonesia. The model has provided good performance in predicting the outlet temperature solar collector with low computational time and good accuracy with maximum deviation error 1.19% with RMSE 0.94307. The decreased on solar collector performance due to piping installation was investigated. The model proposed was able to represent the transient and steady-state characteristics of solar collector plant installed in Universitas Indonesia.