Journal of Physical Chemistry & Biophysics
Open Access

Department of Information and Computational Sciences, School of Science, Hubei University of Technology, Wuhan, Hubei, China

Publications

• Research   
  Optimization Design of Heliostat Field Based on Monte Carlo and PSO Algorithms
  Author(s): Bin Zhao*, Xia Jiang and Yi Wu
  
  Tower solar thermal power generation technology is a new low-carbon and environmentally friendly clean energy technology. In this paper, based on Monte Carlo algorithm model and Particle Swarm Optimization (PSO) algorithm, the optimization model of heliostat mirror field is constructed, which is of great practical significance for effectively improving the collection and conversion efficiency of solar energy and promoting the sustainable development of clean energy. First of all, this paper first visualizes the coordinate data of each heliostat attached in the spatial coordinate system, and carries out preliminary screening and cleaning of the data. Then combined with the known conditions in the topic and the formula in the appendix to determine the shadow occlusion efficiency (ηsb), cosine efficiency (ηcos), atmospheric transmittance (η.. View More»
  DOI: 10.35248/2161-0398.23.13.364

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