Optimisation of Aiming Strategies in Solar Tower Power Plants

被引：2
|
作者：
Ashley, Thomas [1 ]
Carrizosa, Emilio [2 ]
Fernandez-Cara, Enrique [3 ,4 ]
机构：
[1] Univ Seville, IMUS Inst Matemat, Edificio Celestino Mutis,1 Planta, E-41012 Seville, Spain
[2] Univ Seville, IMUS Inst Matemat, Seville, Spain
[3] Dept EDAN, Seville, Spain
[4] IMUS, Seville, Spain
来源：
INTERNATIONAL CONFERENCE ON CONCENTRATING SOLAR POWER AND CHEMICAL ENERGY SYSTEMS (SOLARPACES 2017) | 2018年 / 2033卷
关键词：
FLUX DISTRIBUTION; HELIOSTAT FIELD; CLASSIFICATION; RECEIVERS; ENERGY; SYSTEM;
D O I：
10.1063/1.5067041
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Inclement weather effects have a direct impact on the efficiency of a Solar Power Tower plant and have the potential to damage the receiver by flash heating. An optimised aiming strategy for the heliostat field mitigates the risk of receiver damage and maximises plant efficiency. A stochastic integer programming approach is applied to optimise the aiming strategy of the heliostat field, with uncertainty in the cloud location, size and density. The optimisation technique is demonstrated with a test case and results are presented for near real-time simulation of the optimal aiming strategy.
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收藏
页数：9
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