Predicting State-Variables of Organic Rankine Cycle by a Generalized Mathematical Model
نویسندگان
چکیده
Submitted: Jun 14, 2013; Accepted: Jul 27, 2013; Published: Aug 07, 2013 Abstract: The paper deals with the study of a control strategy for a generalized thermodynamic ORC power plant utilizing waste heat by using dynamic modelling technique. As Organic Rankine Cycle (ORC) is particularly suitable for the recovery of energy from low-quality heat sources. Therefore a generalized proposed predictive control technique is used for predicting the efficiency of low quality heat recovery process operating on an Organic Rankine Cycle to obtain the optimal system performance as presented in this paper. The first order mathematical modelling has been proposed to obtain the equilibrium point, taking into account the ambient condition developed through the nonlinear behavior of the plant. The balancing condition of the system has been analyzed through linear model evaluation of the manipulated variable to reach the desired set point in order to balance the system.
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