Selecting a proper design period for heliostat field layout optimization using Campo code

M. Saghafifar, M. Gadalla
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引用次数: 6

Abstract

In this paper, different approaches are considered to calculate the cosine factor which is utilized in Campo code to expand the heliostat field layout and maximize its annual thermal output. Furthermore, three heliostat fields containing different number of mirrors are taken into consideration. Cosine factor is determined by considering instantaneous and time-average approaches. For instantaneous method, different design days and design hours are selected. For the time average method, daily time average, monthly time average, seasonally time average, and yearly time averaged cosine factor determinations are considered. Results indicate that instantaneous methods are more appropriate for small scale heliostat field optimization. Consequently, it is proposed to consider the design period as the second design variable to ensure the best outcome. For medium and large scale heliostat fields, selecting an appropriate design period is more important. Therefore, it is more reliable to select one of the recommended time average methods to optimize the field layout. Optimum annual weighted efficiency for heliostat fields (small, medium, and large) containing 350, 1460, and 3450 mirrors are 66.14%, 60.87%, and 54.04%, respectively.
利用Campo代码选择合适的设计周期进行定日镜场布局优化
本文考虑了不同的余弦系数计算方法,利用余弦系数在Campo代码中扩展定日镜场布局和最大化其年热输出。此外,还考虑了包含不同数量反射镜的三个定日镜场。余弦因子通过考虑瞬时和时间平均方法来确定。对于瞬时法,选择不同的设计日和设计时间。对于时间平均方法,考虑了日时间平均、月时间平均、季节时间平均和年时间平均余弦因子的确定。结果表明,瞬时法更适合于小尺度定日镜场优化。因此,建议考虑设计周期作为第二个设计变量,以确保最佳结果。对于大中型定日镜场,选择合适的设计周期更为重要。因此,在推荐的时间平均方法中选择一种来优化现场布局是比较可靠的。当定日镜面积(小、中、大)分别为350、1460、3450面时,最佳年加权效率分别为66.14%、60.87%、54.04%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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