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Luminescent solar concentrators (LSC) can reduce the area of solar cells by collecting light from a large area and concentrating the captured light onto relatively small area photovoltaic (PV) cells, and thereby reducing the cost of PV electricity generation. LSCs with bottom-facing cells (BMP-LSC) can collect both direct light and indirect light, so further improving the efficiency of the PV cells. However, it is hard to analyze the effect of each parameter by experiment because there are too many parameters involved in the BMP-LSC. In this paper, all the physical processes of the light transmission and collection in the BMP-LSC were analyzed. A three-dimensional Monte Carlo ray tracing program was developed to study the transmission of photons in the LSC. A larger-size LSC was simulated, and the effects of dye concentration, the LSC thickness, the cell area, and the cell distance were systematically analyzed.
Because of the increasing demand on energy, solar energy is attracting increasing attention due to its significant advantages. As one of the most important branches of the solar energy industry, photovoltaic (PV) electricity generation has developed faster and faster in recent years.[1–3] However, the efficiency of PV cells is low and the cost is high in spite of many years development. It still remains expensive relative to competing forms of energy sources.[4] In order to decrease the cost of PV electricity generation, light concentration is an important way to achieve power gain.[5–7] Under the guidance of this idea, the luminescent solar concentrator (LSC) appeared.
As early as 1976, the idea of an optical waveguide to collect sunlight was proposed by Lambe and Weber,[8] and it experienced rapid development in the following decades.[9–15] LSC is composed of PV cells and fluorescent dyes which are uniformly distributed in the waveguide that consists of transparent material, as shown in Fig.
Researchers have paid a lot of attention to modeling LSCs.[27–33] Theoretical calculation is an important means to analyze and optimize LSCs. At present, two main kinds of theoretical models, the thermodynamic model and the light-tracing model, have been developed.[18] The thermodynamic model is based on the energy transfer between mesh points in the LSC, and the whole volume of LSC is integrated.[27] Light-tracing for LSC uses a basic light-tracing principle, which means that a photon is traced until it leaves the LSC throught escape or absorption. Whether a physical process has occurred or not is determined by comparing the probability of a single physical process with a randomly generated number. Finally, the fate of numerous photons was tallied. The Monte Carlo light-tracing model affords greater flexibility so that it is widely used in complex systems. Carrascosa et al. simulated monolayer and multilayer LSC films doped with Rholdamine6G and Flourol555 dyes,[28] and the results agree with the experiment. Wilton et al. simulated the PbSe quantum dot LSC by ray tracing model.[31] Leow et al. simulated the fluorescence transmission process of BMP-LSC by two-dimensional light tracing model,[32] in which the effects of optical waveguide thickness, cell width and spacing on the efficiency of the LSC cell are analyzed. In short, to better optimize the LSC parameters and increase the efficiency of LSC, the simulation of the LSC is very necessary.
Comparing with edge-mounted PV cell LSCs, more parameters are involved in the BMP-LSC, so optimizing the system experimentally is time consuming and difficult. Meanwhile, by the theoretical calculation, it can also be more convenient to analyze and calculate the loss mechanism of fluorescence. However, there has been less research on large size LSCs, although the large size LSC is what we will use eventually.[15,34] In this paper, a three-dimensional (3D) Monte Carlo program is written in Matlab and used to compute the performance of a large-size LSC. The contribution of each optical loss mechanism and the effects of PV cells area, PV cells position, LSC thickness, and dyes concentration were simulated.
Seventy-two PV cells were arranged in a Tic-Tac-Toe layout as shown in Fig.
The Monte Carlo light-tracing model of LSCs was created using matlab to evaluate the device performance. A minimum of 100000 photons were created in each run. The light-tracing algorithm flow chart is depicted in Fig.
AM1.5 was used as the initial emission light and only the photons which have wavelength smaller than 1124 nm will be launched. Rest photons cannot be absorbed by cells as well as dyes, so have no effect on the LSC. The photons are given a direction perpendicular to the LSC top face, and a starting position on the LSC top surface evenly over the entire panel. The probability of reflection at the LSC top face is calculated by Fresnel’s equation of the incident photons at the air–PMMA interface
The probability of absorption and the absorption location is determined by the Beer–Lambert law
When the photon is absorbed by the dyes, it is reemitted only if
Whether the photon transfers or escapes is determined by comparing the critical angle of reflection (
If the photon’s polar angle is larger than the critical angle, it will be trapped in the waveguide through total internal reflections, and then be redirected to the PV cells. Whether the photons reach the cell is determined by each point of total reflection.
When the photon is determined to have reached the cell, the path length will be calculated from the azimuth, polar angles, and total reflection times by trigonometry:
At the same time, the absorption path-length (
When
Finally, the photons that reach the cell are tallied, and the optical efficiency is calculated by
In the terms of practicability, the power efficiency draws more attention. The power of cells can be calculated by
It can be considered that the power efficiency is proportional to optical efficiency
In order to facilitate the analysis, power gain (G) was defined by
Dye concentration is a very important parameter in the process of solar light collection and fluorescence transmission. On one hand, high concentration of the dye can increase the absorption of the sunlight, thereby increasing the fluorescence. On the other hand, the high concentration of dye will increase reabsorption, which is expected to result in the decrease of the efficiency. Specific attention was given to simulate a rectangular LSC with dimension of 122 cm× 61 cm× 0.7 cm, on which 72 stripe cells with 7.8 cm× 2 cm were attached and the distance between cells is 20.3 cm, as shown in Fig.
As the concentration of dyes increases from 5 ppm to 160 ppm, the power gain raises steeper and then declines gently (Fig.
The contribution of each optical loss mechanism in LSCs can be calculated using the Monte Carlo simulation via dividing lost photons into different types based on when the loss event occurred. In principle, optical losses in a BMP-LSC can be attributed to six mechanisms: unabsorbed loss, escaping cone loss, non-radiative, interface reflection, PMMA absorption, and escape from sides. Incident photons reflecting off the top face of the LSC is always 4% and irrespective of dye concentration. The loss ratio of the other mechanisms is given in Fig.
By increasing the thickness of LSC while keeping the total of dyes in the LSC, the concentration of dye decreases so that the reabsorption is suppressed, and the fluorescence launched by the dye does not change. The power gain under different thickness of the LSC is given in the Fig.
From Fig.
A simple and effective way to improve efficiency is increasing the width of the cell, which however causes the increase of cost and decrease of power gain. Shown in Fig.
We found that the power efficiency increases almost linearly with the width while the power gain decreases sharply as width increases. This is due to the fact that the direct light as well as the fluorescence both increase with the increase of cell width, as shown in Figs.
To enhance the output power of LSC, cell distance is also a controllable parameter. A series of LSC with increasing size as well as cell distance were simulated using Monte Carlo ray tracing and the result is shown in Fig.
With the size increase, the output power of LSC as well as power gain increase (Fig.
Based on a 3D Monte Carlo model, the performance of large size BMP-LSC with Tic-Tac-Toe layout cells and two kinds of dyes was simulated. The effects of dyes concentration, wavelength thickness, cells width and distance were noted. This result can be used to guide the experiment of LSC. Moreover, by tracking the photon’s travel and analyzing its final fate, a stronger understanding of the LSC physical mechanisms is obtained, which is also very helpful for further LSC design and development. Furthermore, from the simulation results, a good luminescent dye should have a narrow absorption bandwidth and big Stokes shift, which plays a crucial role on the performance of BMP-LSCs.
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