Numerical investigation on improvement of energy transfer in solar power satellite

Xianlong Meng, Kun Du, Xiaohui Bai, John C. Mankins and Cunliang Liu

Renewable Energy, 2020, vol. 148, issue C, 103-112

Abstract: Solar power satellite (SPS) normally collects sunlight through concentrating solar collectors give to PV cells which convert it to electric power and then transmitted it to the earth by microwave energy. SPS-ALPHA Mark-Ⅱ applies conical structural as the whole frame composed by several thousands of hexagonal “Reflectors and Deployment Modules” (RDM) that enables extremely high modularity and low cost of machining/space transport. SPS-ALPHA system, on the whole, can be treated a dense array concentrated photovoltaic (DA-CPV) system. The blocking shadow effect and cosine effect of ray path exist that make the optical efficiency fluctuate with different tracking angles, resulting the trade-off exists between optical efficiency and irradiance uniformity. The current study aims to find a compromise solution: a high optical efficiency with stable irradiance distribution for effective PV layout design. To meet this target, Ant Colony Optimization (ACO) algorithm combined with dynamic source-target mapping was adopted to find suitable aiming vectors of modular reflectors. The optical transmission characteristics were investigated using Monte-Carlo ray tracing (MCRT) method. Using above method, this article will focus on the effects of tracking conditions, structural and RDM parameters of SPS-ALPHA Mark-Ⅱ thereby provide basic data and reference for engineering constructions in next step.

Keywords: Space solar power; SPS-ALPHA; Monte-carlo ray tracing; Ant colony optimization; Optical transmission (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960148119318142
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:renene:v:148:y:2020:i:c:p:103-112

DOI: 10.1016/j.renene.2019.11.120

Access Statistics for this article

Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides

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