Supercritical carbon dioxide boiler heat transfer characteristic prediction method and system

The invention provides a method and a system for predicting heat transfer characteristics of a supercritical carbon dioxide boiler. The method comprises the following steps: acquiring heat transfer prediction parameters of the supercritical carbon dioxide boiler to be predicted; inputting the heat transfer prediction parameters into a pre-trained supercritical carbon dioxide heat transfer neural network regression model to obtain a model output result; fitting all results output by the model, and establishing a heat transfer correlation formula of the supercritical carbon dioxide boiler based on a D-B forced convective heat transfer experience correlation formula; and obtaining the heat transfer characteristics of the supercritical carbon dioxide boiler to be predicted based on the heat transfer correlation formula of the supercritical carbon dioxide boiler. According to the method, the heat transfer data of the supercritical carbon dioxide boiler are accurately predicted by using the ANN neural network, the