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Numerical investigation on improvement of energy transfer in solar power satellite

  • Xianlong Meng
  • , Kun Du
  • , Xiaohui Bai
  • , John C. Mankins
  • , Cunliang Liu
  • Northwestern Polytechnical University Xian
  • Artemis Innovation Management Solutions LLC

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

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.

Original languageEnglish
Pages (from-to)103-112
Number of pages10
JournalRenewable Energy
Volume148
DOIs
StatePublished - Apr 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Ant colony optimization
  • Monte-carlo ray tracing
  • Optical transmission
  • Space solar power
  • SPS-ALPHA

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