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International Journal of Photoenergy
Volume 2014 (2014), Article ID 819637, 6 pages
Research Article

Optimization of p-GaN/InGaN/n-GaN Double Heterojunction p-i-n Solar Cell for High Efficiency: Simulation Approach

1Indian Institute of Technology, Bombay (IIT-B) Powai, Maharashtra 400076, India
2Academy of Scientific and Innovative Research, New Delhi 110001, India
3Council of Scientific and Industrial Research-Central Electronics Engineering Research Institute (CSIR-CEERI) Pilani, Rajasthan 333031, India
4School of Solar Energy, Pandit Deendayal Petroleum University (PDPU), Gandhinagar, Gujarat 382007, India

Received 29 May 2013; Accepted 13 March 2014; Published 10 April 2014

Academic Editor: Adel M. Sharaf

Copyright © 2014 Aniruddha Singh Kushwaha et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We have conducted numerical simulation of p-GaN/In0.12Ga0.88N/n-GaN, p-i-n double heterojunction solar cell. The doping density, individual layer thickness, and contact pattern of the device are investigated under solar irradiance of AM1.5 for optimized performance of solar cell. The optimized solar cell characteristic parameters for cell area of 1  × 1 mm2 are open circuit voltage of 2.26 V, short circuit current density of 3.31 mA/cm2, fill factor of 84.6%, and efficiency of 6.43% with interdigitated grid pattern.

1. Introduction

The direct and tunable band gap of InGaN semiconductor offers a unique opportunity to develop high efficiency solar cell. The direct band gap of the InGaN semiconductor can vary from 0.7 to 3.4 eV [1], which covers a broad solar spectrum from near-infrared to near-ultraviolet wavelength region. InGaN alloys show the unique properties such as tunable band gap, high carrier mobility, and high radiation resistance which offers a great advantage in design and fabrication of high efficiency devices for photovoltaic applications [24]. High absorption coefficient of InGaN alloys also makes it suitable to use in solar cells [57]. Earlier theoretical calculations have shown that it is possible to achieve efficiency up to 50% with InGaN alloys [8]. In spite of high efficiency prediction, fabricated solar cells could not demonstrate high efficiency [913]. The epitaxial growth of InGaN layers faces many issues such as lack of defect-free substrate, indium segregation at higher composition, and large lattice mismatch between InN and GaN which leads to phase separation [14]. In addition, there are significant polarization charges at the InGaN/GaN interface which alter the electric field in InGaN layer [15]. As a consequence the fabricated InGaN solar cell shows very low conversion efficiency compared to theoretical calculation.

In this paper, a simulation work is carried out to optimize p-GaN/InGaN/n-GaN/sapphire device structure of solar cells with 12% indium composition under AM1.5 illumination. Simulation is carried out by optimizing doping concentration and thickness of p-GaN, InGaN, and n-GaN layer, respectively, by changing only one material parameter at a time and keeping other parameters constant. Simulation verifies that device efficiency is strongly dependent on the intrinsic-layer (InGaN) thickness, as most of the spectrum is absorbed in this layer. We simulate p-GaN/InGaN/n-GaN/Sapphire solar cell to investigate the effect of incorporating grid contact pattern on the device characteristic parameter. It is observed that optimization of grid contact spacing helps greatly in device efficiency enhancement.

TCAD SILVACO, Version: ATLAS 5.16.3.R, is used for simulation. The simulator works on mathematical models which consist of fundamental equations such as Poisson’s equation, continuity equation, and transport equations. In our simulation, we have used the models such as AUGER for Auger recombination, SRH for Shockley Read Hall recombination, OPTR for optical recombination, KP model for effective masses, and band edge energies for drift diffusion simulation. Mathematical models are used in simulation which consists of fundamental equations such as Poisson’s equation, continuity equation, and transport equations. Newton’s method is used as the solution method in simulation. All the above models are used from standard TCAD library.

This paper is organized as follows: in Section 2 material parameters are described which are used in simulation models. Section 3 discusses simulation and results. Finally, conclusion is presented in Section 4.

2. Material Parameters

The absorption coefficient of semiconductor as a function of energy [16], energy band gap and electron affinity as a function of band gap energy, [17, 18], and electron and hole mobility as a function of doping [19] can be expressed as where is the energy of photon corresponding to respective wavelength and is the band gap of semiconductor. It is assumed that for is the same as that of GaN, denotes electrons (e) or holes (h), is doping concentration, and , , , and are the parameter given for a specific semiconductor [19]. The material parameters for InGaN such as absorption coefficient, lattice constant, and polarization charges are derived and extracted by interpolation of known material parameters of InN and GaN. Some of important material parameters used during simulation are listed in Table 1.

Table 1: Material parameter used in simulation.

3. Simulation Results and Discussion

3.1. Optimization of p-i-n Structure

The schematic diagram of InGaN/GaN p-i-n solar cell is shown in Figure 1. The p-GaN layer thickness is varied from 70 to 120 nm. The InGaN and n-GaN layer thicknesses 100 nm and 1.5 μm and their doping densities 1 × 1016 cm−3 and 6 × 1018 cm−3,   respectively, are kept constant while optimizing p-GaN layer thickness and doping density.

Figure 1: p-i-n InGaN/GaN double heterojunction solar cell structure.

The effect of p-GaN layer thickness and doping concentration on solar cells characteristic parameters such as short circuit current density, open circuit voltage, fill factor, and efficiency is shown in Figure 2. The short circuit current density, , increases with p-GaN layer thickness. As the thickness of p-GaN layer increases more photon absorption occurs in the p-region, resulting in more electron and hole carrier generation that contributes to enhancement of current density. On the contrary, thicker p-GaN layer increases surface recombination rate after a certain thickness; current density starts decreasing. The open circuit voltage, , and fill factor, FF, do not show significant change with respect to p-GaN layer thickness as these parameters largely depend on the bulk property of semiconductor rather than surface property.

Figure 2: Effect of p-GaN layer thickness and doping concentrations on GaN/InGaN solar cell characteristic parameters: (a) short circuit current density, (b) open circuit voltage, (c) fill factor, and (d) efficiency.

The effect of doping density is analyzed by simulating the structure for different doping concentrations of 1 × 1016 cm−3, 1 × 1017 cm−3, and 1 × 1018 cm−3, respectively. The simulation result shows that the short circuit current density is higher for doping concentration of 1 × 1016 cm−3. However, it is found that is higher for doping concentration of 1 × 1017 cm−3. The combined effect of and determines the efficiency curve which follows curve pattern of and shows higher efficiency for the doping concentration of 1 × 1017 cm−3, where is high.

The effect of intrinsic InGaN layer thickness on solar cell characteristic parameters of p-GaN/InGaN/n-GaN p-i-n solar cell is shown in Figure 3. The InGaN layer thickness is varied from 50 to 550 nm. The p-GaN and n-GaN layer thicknesses 100 nm and 1.5 μm and their doping densities 5 × 1017 cm−3 and 6 × 1018 cm−3, respectively, are kept constant while optimizing InGaN layer thickness.

Figure 3: Effect of InGaN layer thickness on characteristic parameters of solar cells. (a) Short circuit current density. (b) Open circuit voltage. (c) Fill factor. (d) Efficiency.

It is found that increases with InGaN layer thickness since photons get longer path for absorption and also unabsorbed lower energy photons from p-GaN layer get absorbed in this region. Photon absorption is also supported by higher absorption coefficient of InGaN material [20]. On the other hand, the open circuit voltage is found to be decreased and remain nearly constant after layer thickness of 250 nm. Higher thickness generates more carriers and recombination results in decreased open circuit voltage.

The fill factor also starts decreasing with respect to increased InGaN layer thickness. The series resistance increases with increasing InGaN layer thickness. The efficiency curve resembles that of current density which represents the combined effect of all parameters , , and FF. After the p-GaN and InGaN-layers, the n-GaN layer thickness and doping density concentration are optimized. The n-GaN thickness is varied from 0.4 to 2.4 μm. The p-GaN and InGaN layers thicknesses are 100 nm and 450 nm and doping densities 5 × 1017 cm−3 and 1 × 1016 cm−3, respectively, are kept constant while optimizing n-GaN layer thickness and doping density. The n-GaN layer thickness and doping density do not play an important role with respect to solar cell parameters. It may be because most of the available photons are already absorbed in the p-GaN and InGaN layer, and very few carriers are generated in n-GaN layer.

The final p-i-n structure consists of n-type GaN layer, 1.5 μm thickness and doping density of 6 × 1018 cm−3, unintentionally doped InGaN layer, 450 nm thickness and doping density of 1 × 1016 cm−3 with 12 percent indium composition, and top p-type GaN layer, 100 nm thickness, with acceptor density of 5 × 1017 cm−3. The quantum efficiency of optimized structure is calculated and shown in Figure 4 and the maximum quantum efficiency is found to be in the wavelength range of 0.4 nm to 0.45 nm wavelength, which corresponds to GaN/InGaN material band gap region.

Figure 4: Quantum efficiency of optimized p-i-n GaN/InGaN double heterojunction solar cell.
3.2. Effect of using Interdigitated Grid Pattern

We simulated the p-i-n structure with interdigitated grid pattern, in order to further enhance the efficiency by use of grid type contact which helps in increasing the carrier collection. Simulation results of incorporating grid patterns on × and efficiency with different numbers of grid fingers such as 3, 4, and 5 and different grid spacing from 175 to 375 μm are shown in Figure 5. The size of the cell considered here is 1 × 1 mm2. The number of grids will be reduced with increasing finger-to-finger grid spacing. The short circuit current density decreases with increasing grid numbers due to decrease in effective area available for photon absorption. However there is an enhancement in efficiency due to more carrier collection. The characteristic parameters for different contact patterns along with square pad are compared in Table 2.

Table 2: Characteristic parameters of simulated InGaN p-i-n solar cell.
Figure 5: Effect of (a) short circuit current density, (b) efficiency on grid spacing for different number of grids, and (c) p-i-n InGaN/GaN double heterojunction solar cell with grid type contact.

4. Conclusion

The optimization of p-GaN/InGaN/n-GaN double heterojunction p-i-n solar cell with square contact and grid pattern is studied. The photovoltaic parameter of solar cell strongly depends on p-GaN and InGaN layers thickness and doping density. Photovoltaic parameters, such as : 2.27 V, : 5.64 mA/cm2, FF: 82%, and η: 4.16, are obtained for square contact type under 1 sun AM1.5 illumination with optimized p-GaN (100 nm, 5e17 am-3) and InGaN (In = 0.12, 450 nm) layers and high quantum efficiency of ~50% is also achieved in wavelength range of 0.4 nm to 0.45 nm which corresponds to In0.12Ga0.88N absorption region. In addition to optimizing structure, use of grid contact pattern with finger spacing of 210 nm improves conversion efficiency to 6.34.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


The authors gratefully acknowledge the Director of CSIR-CEERI, Pilani, for his encouragement in this work. They also thank all ODG members for their help and cooperation.


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