太阳能小屋的优化设计与研究

Solar Energy Optimization Design of the Hut

本文分析了光伏电池如何进行铺设才能达到最优的问题,通过对大同市典型气象年气象数据的分析,确定出小屋最优的铺设方案。按照小屋的建设要求,采用区域填充扫描线算法确定小屋的各外表面的铺设组件阵列和铺设方案并建立非线性优化模型,根据已求出的最优组件序列确定顶面的符合约束条件的最大顶面面积,再结合小屋顶面发电能力最大的特点,将非线性优化模型转化为线性优化模型,最终利用MATLAB编程求解出各项指标。不难看出,优化设计后的小屋投资回报年限大大减少。

This paper analyzes how to lay photovoltaic cells to achieve the optimal,and the meteorological data in the typical meteorological year in Datong, determining the optimal laying solution of the hut. According to the requirements of the solar house＇s construction, use the region Idling scan line algorithm to determine the outer surface of the component array and laying solution and establish a nonlinear optimization model. According to the largest top surface area consistent with the constraints, combined with the top surface of the biggest characteristics of generating capacity, the nonlinear optimization model is transformed into a linear optimization model, finally using MATLAB programming to calculate each ittdex.It is not difficult to see that, the returnperiod is greatly reduced after the optimization design.