Simulation And Optimization Of Energy Collection System In Tower Type Solar Power Station

As the shortage of conventional energy, increasing demand for power of human beings and global environmental deterioration, solar energy has been paid more and more attention with its incomparable advantages of infinite, clean and low cost. Solar tower power is the most economical and market potential method in large-scale solar power generation plants. However, the researches on solar power tower are still at the primary stage of development in China and high cost is the key problem limiting its development, there still are many important problems to be solved. This thesis mainly focuses on the researches of sun motion, heliostat tracking, simulated the flux distribution on a solar tower receiver and optimized aiming point strategy, and the main contents of this thesis are listed as follows:(1)The sun motion model is established to calculate the sun angles throughout every day. Variation rule of the sun angles is summarized.(2)An ideal two-axis heliostat model which is a three-dimensional motion system is built to achieve sun-tracking and a heliostat tracking algorithm is proposed. This work proposes a imaging model of the heliostat reflection. This model is simulated imaging disciplines in circumstances of different time and different reflection positions.(3)On the basis of the calculated solar spot center position, simulated different seasons, different times and different locations heliostat reflecting solar spot and spillage, analyzed the dynamic drift characteristic of solar spot.(4)On the basis of the simulated solar spot, proposed a SG (sort-grouping) optimized aiming point strategy, used to control of the flux distribution on a solar tower receiver.These methods are confirmed to be feasible and high precision through simulations. The conclusions of this thesis lay a theoretical basis for research on solar tower power technology.