Heliostat field optimization: A new computationally efficient model and biomimetic layout
Heliostat field optimization: A new computationally efficient model and biomimetic layout
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DOI：
10.1016/j.solener.2011.12.007
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发表时间：
2012-02-01
期刊：
影响因子：
6.7
通讯作者：
Mitsos, Alexander
中科院分区：
文献类型：
--
作者：
Noone, Corey J.;Torrilhon, Manuel;Mitsos, Alexander
本文提出了一种新的定日镜场布局优化模型和仿生模式。本文描述和验证的模型包括考虑余弦损失、遮蔽和阻挡、像差和大气衰减的年平均光学效率的详细计算。该模型是基于一个离散化的定日镜，可以被看作是光线跟踪与精心选择的光线分布。原型实现速度足够快，可以进行现场优化。引入了径向交错布局的参数，并以年日照加权定日镜场效率最大为目标进行了优化。此外，灵感的螺旋状的叶序盘图案，一个新的仿生布局启发式描述和评估，它产生的布局更高的日照加权效率和更高的地面覆盖率比径向交错设计。具体而言，这种新的启发式算法被证明可以将现有的PS10场的效率提高0.36%，同时将土地面积减少15.8%。此外，新模式在土地面积使用和效率之间实现了更好的权衡，即，对于任何期望的效率，它可以显著地减少面积需求。最后，当以最大效率为目标时，随着定日镜数量的增加，面积的改善变得更加明显。虽然最大限度地降低能源的平准化成本（LCOE）通常是一个更实际的目标，但所提出的案例研究的结果表明，可以减少工厂的土地面积（即占地面积）和收集固定能量的定日镜数量。通过在没有额外成本的情况下降低工厂的资本成本，其效果是LCOE的降低。(C)2011爱思唯尔有限公司保留所有权利。
In this article, a new model and a biomimetic pattern for heliostat field layout optimization are introduced. The model, described and validated herein, includes a detailed calculation of the annual average optical efficiency accounting for cosine losses, shading and blocking, aberration and atmospheric attenuation. The model is based on a discretization of the heliostats and can be viewed as ray tracing with a carefully selected distribution of rays. The prototype implementation is sufficiently fast to allow for field optimization. Parameters are introduced for the radially staggered layout and are optimized with the objective of maximizing the annual insolation weighted heliostat field efficiency. In addition, inspired by the spirals of the phyllotaxis disc pattern, a new biomimetic placement heuristic is described and evaluated, which generates layouts of both higher insolation-weighted efficiency and higher ground coverage than radially staggered designs. Specifically, this new heuristic is shown to improve the existing PS10 field by 0.36% points in efficiency while simultaneously reducing the land area by 15.8%. Moreover, the new pattern achieves a better trade-off between land area usage and efficiency, i.e., it can reduce the area requirement significantly for any desired efficiency. Finally, the improvement in area becomes more pronounced with an increased number of heliostats, when maximal efficiency is the objective. While minimizing the levelized cost of energy (LCOE) is typically a more practical objective, results of the case study presented show that it is possible to both reduce the land area (i.e. footprint) of the plant and number of heliostats for fixed energy collected. By reducing the capital cost of the plant at no additional costs, the effect is a reduction in LCOE. (C) 2011 Elsevier Ltd. All rights reserved.