4results about How to "Improve light gathering efficiency" patented technology

The utility model discloses an LED (light-emitting diode) light-transmitting mirror with high light-condensing efficiency, which comprises a lens body and a light-condensing column connected to the rear end of the lens body, the front end surface of the lens body is a light-emitting surface, and the rear end surface of the light-condensing column is a light-entering surface. The front end of the condensation column is composed of an upper boss, an extension column, a lower inclined plane and a lower boss which are sequentially connected from top to bottom, the rear end of the condensation column is a cylindrical body with the cross section gradually reduced from front to back, and the front end of the cylindrical body is connected with the tail end of the extension column. According to the utility model, the problem that the brightness cannot meet the requirement when the SMD-LED is used for the traffic display screen is effectively solved.

This invention relates to the field of solar power generation technology, and particularly to a control method for a dish concentrator based on an I3-RPS tracking mechanism. The control method includes: establishing a solar direction vector calculation model; establishing a multi-coordinate system to describe the motion of the dish concentrator, and deriving the homogeneous transformation matrix between the coordinate systems; obtaining the pose of the moving platform based on the solar direction vector, and establishing a mapping relationship between the length, velocity, and acceleration of the telescopic rod and the pose of the moving platform through inverse kinematics; establishing an inverse dynamics model based on the principle of virtual work; designing a hierarchical composite control strategy; at the top level, using a parallel synchronous architecture to coordinate the motion of the I3-RPS tracking mechanism; at the bottom level, designing an RBF-FSMC controller for the I3-RPS tracking mechanism, replacing the switching function with a saturation function, dynamically adjusting the saturation function gain and boundary layer thickness through fuzzy rules, and introducing a radial basis function neural network to approximate system modeling errors and external disturbances online. This control method exhibits high tracking accuracy and strong anti-interference capability.

The application belongs to the technical field of heliostat target point adjustment method, and particularly relates to a heliostat target point genetic optimization method suitable for a tower type light concentration and heat collection system. The method comprises the following steps: S1. Calculating heat absorber energy flow: dividing the surface of the heat absorber into a target point matrix, calculating the light spot distribution of each heliostat at a given target point on the heat absorber, and calculating the energy flow density distribution formed by the superposition of the light spots of the m heliostats in the mirror field on the heat absorber; S2. Target point genetic optimization: randomly generating S target point strategies as the initial population, generating a group of individuals with higher fitness of the target point strategy through random selection, crossover and mutation, evolving the group, and obtaining the optimized target point aiming strategy, so that the mirror field incident energy flow is uniformly distributed on the surface of the heat absorber. The method provided by the application adopts a target point genetic optimization algorithm to optimize the aiming strategy of the tower type light concentration and heat collection system, so that the mirror field incident energy flow is uniformly distributed on the surface of the heat absorber.

This invention discloses a method for calculating cosine effect loss and optimizing output thermal power in solar energy conversion. First, geographical and temporal parameters are obtained to establish a geometric model of the heliostat field. Based on the solar altitude angle, a cosine loss algorithm model is constructed, deriving a formula for calculating cosine efficiency with local latitude, solar declination angle, and solar hour angle as variables, thus achieving dynamic and accurate calculation of cosine loss. On this basis, an objective function is established to maximize the annual average output thermal power per unit mirror area. Considering constraints such as the heliostat's operating status, absorber tower location, installation height and dimensions, center distance, annular radius, and staggered layout, the optimal mirror field layout parameters and operating strategy are solved through year-round time-domain simulation. This invention accurately quantifies cosine loss through analytical algorithms and combines multi-constraint optimization to improve the annual output thermal power of the heliostat field, reduce shading and cosine loss, and provide support for the efficient operation of tower-type solar thermal power generation systems.