EconPapers    
Economics at your fingertips  
 

Evaluation of solar brightness distribution models for performance simulation and optimization of solar dish

Lulening Sun, Chenggang Zong, Liang Yu and Weidong Huang

Energy, 2019, vol. 180, issue C, 192-205

Abstract: The solar brightness model is widely applied in modeling and optimization of concentrated solar energy system. In this paper, the influence of various solar brightness models on the solar dish system are evaluated. The spline interpolation to the test data of solar brightness distribution is applied as the standard model, and the performance simulation and optimization code for solar dish system with the standard model are built and validated by Soltrace. The optical efficiency of different solar brightness models are calculated. The prediction and optimization error of 11 solar brightness models are estimated under different optical error, rim angle of reflector, concentration ratio, and circumsolar ratio. Although prediction results are rather good when optical error is more than 5 mrad, the prediction and optimization results exists much error between the present solar brightness model and the standard model especially when the optical error is less than 5 mrad, in which the maximum error of 40% exists when considering the influence of CSR for the performance modelling and maximum relative error of 3.5% for optimization. As the optical error of the solar dish system has been greatly reduced recently, it is recommended that the precise model for solar brightness distribution should be applied for obtaining better performance prediction and optimization.

Keywords: Optical performance; Optimization; Parabolic dish; Solar brightness distribution model (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219309594
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:180:y:2019:i:c:p:192-205

DOI: 10.1016/j.energy.2019.05.081

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:180:y:2019:i:c:p:192-205