塔式太阳能热电站接收器的建模仿真

MODELING AND SIMULATION OF SOLAR TOWER THERMAL PLANTS RECEIVER

以常见的圆柱式接收器为研究对象,整体上建立集总参数模型,用BP神经网络预测方法辨识得到聚焦在接收器上的太阳辐射、接收器内工质流速与工质出口温度之间映射关系,并进行验证。研究结果表明,集总参数模型、BP神经网络预测方法的预测效果良好,BP神经网络预测方法的预测精度更高。

A lumped parameter model is established for the common cylindrical receiver.The BP neural network prediction method is used to identify the mapping relations about the solar radiation focused on the receiver,working fluid flow rate and working medium outlet temperature,and it verified.The results show that both the models have good prediction results,and the BP neural network prediction method has higher prediction accuracy.