A Monte Carlo Simulation Method for Solar Radiant Energy Density with Peak Stability

Abstract

The invention discloses a Monte Carlo solar radiant energy density simulation method with stable peak value, comprising the following steps: (1) sampling the direction of the incident light according to the sun incident light model; (2) comparing the incident light and the surface of the heliostat (3) Conduct shading tests on the incident light to obtain the initial simulation results of the energy density distribution on the receiver surface; (4) Filter and calculate the initial simulation results of the energy density distribution on the receiver surface to obtain the Monte Carlo sun Radiant energy density simulation results. The Monte Carlo solar radiant energy density simulation method with stable peak value of the present invention adds one-step post-processing to the result of ray tracing algorithm simulation calculation: filter calculation, under the premise of ensuring that the total energy accepted by the receiver surface remains unchanged, the peak value and The true value is closer and more stable, while reducing the RMSE. The stable peak value and the distribution closer to GT provide a reliable guarantee for subsequent related algorithm research and simulation.

Description

technical field [0001] The invention relates to the technical field of solar power generation simulation, in particular to a Monte Carlo simulation method for peak-stable solar radiation energy density. Background technique [0002] With the shortage of fossil energy resources and the increasingly serious environmental problems in recent years, clean and renewable energy has attracted widespread attention from academia and industry circles. Solar energy is a common renewable resource. As the main source and provider of the earth, solar energy is naturally safe, clean, easy to obtain, renewable and abundant in reserves. If there is a technology that can fully convert solar energy into other energy needed by human beings, then theoretically solar energy can meet the world's energy needs. Despite the huge utility value of solar energy, the contribution of solar energy to global energy supply is still negligible at this stage. [0003] Solar thermal power generation technolog...

AI Technical Summary

Problems solved by technology

Since ray tracing is a discrete calculation method, the peak value of the simulation results is very unstable, and in some cases the error can reach 10%.

Unstable peaks will inevitably have a great impact on mirror field design results

[0008] 2. The root mean square error (Root Mean Square Error, RMSE) between the radiant energy distribution and the ground truth (GT for short) of the ray tracing reflection projection on the surface of the receiver is relatively large

A large RMSE will also reduce the credibility of the simulation results, so that the relevant parameters provided in research such as mirror field layout design, site parameter optimization, and focus optimization deviate from the real situation

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