Heat Current Model and Efficient Solution Method for Supercritical CO2 Power Cycle
Supercritical carbon dioxide(sCO2)power cycle has a more compact structure and higher efficiency.However,dramatic variations in thermophysical properties of working fluid and the coupling of multiple nonlinear physical processes such as fluid transport process and energy trans-fer process make conventional modelling and solving methods more difficult to simulate the cycle accurately and efficiently.This study constructs the heat current model of the sCO2 power cycle and proposes an efficient solution algorithm based on the generalized Benders decomposition.The pro-posed algorithm categorizes system governing equations according to their linear or(explicit/implicit)nonlinear mathematical properties,and variables'gradient information is used to update unknown variables iteratively.Compared to conventional algorithms,the new solution method owns better robustness and has a 48％larger convergence range regarding the deviation of initial values.Besides,the proposed algorithm is more efficient when the initial value deviation is small.
supercritical CO2 Brayton cyclegeneralized Benders decompositionheat current methodsolution algorithmrobust simulation
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