寒地建筑太阳能吸热性能与角度的关系建模

Modeling of Relationship Between Solar Heat Absorption Performance and Angle

提出一种基于神经网络算法的太阳能吸热性能与角度的关系的优化模型。建立太阳能吸热性能与角度的关系模型,通过正向传递和误差信号的反向传递这两个学习过程,减少了角度调整过程中的误差,最终得到准确的太阳能吸热器的角度调整数据。实验结果表明,利用改进算法能够准确调整太阳能吸热器与太阳光的角度,减少了调整时间,提高了寒地建筑太阳能的利用率,效果令人满意。

This paper put forward an algorithm based on neural network of the relationship between Angle of solar heat ab-sorption performance and the optimization of the model. Establishing the model of the relationship between Angle of solar heat absorption performance and through the forward transfer and error signal of the reverse pass these two learning pro-cess, to reduce the Angle adjustment in the process of error, finally get the exact solar heat receiver Angle adjustment data. Experimental results show that the improved algorithm can accurately adjust solar heat receiver and the Angle of the sun, can reduce the time of adjustment, improve the cold building solar energy utilization, the effect is satisfied.