Abstract

Industrial Czochralski silicon (Cz-Si) photovoltaic (PV) efficiencies have routinely reached >20% with the passivated emitter rear cell (PERC) design. Nanostructuring silicon (black-Si) by dry-etching decreases surface reflectance, allows diamond saw wafering, enhances metal gettering, and may prevent power conversion efficiency degradation under light exposure. Black-Si allows a potential for >20% PERC cells using cheaper multicrystalline silicon (mc-Si) materials, although dry-etching is widely considered too expensive for industrial application. This study analyzes this economic potential by comparing costs of standard texturized Cz-Si and black mc-Si PERC cells. Manufacturing sequences are divided into steps, and costs per unit power are individually calculated for all different steps. Baseline costs for each step are calculated and a sensitivity analysis run for a theoretical 1 GW/year manufacturing plant, combining data from literature and industry. The results show an increase in the overall cell processing costs between 15.8% and 25.1% due to the combination of black-Si etching and passivation by double-sided atomic layer deposition. Despite this increase, the cost per unit power of the overall PERC cell drops by 10.8%. This is a significant cost saving and thus energy policies are reviewed to overcome challenges to accelerating deployment of black mc-Si PERC across the PV industry.

Highlights

  • The learning curve in the global photovoltaic (PV) industry [1,2,3,4,5] has resulted in continuous and aggressive reduction in the costs of solar modules [6,7]

  • The relative costs for all the processing steps for the texturized Czochralski silicon (Cz-Si) and black multicrystalline silicon (mc-Si) cells are shown in Figures 2 and 3, respectively; where the costs are normalized over the total cost of the respective passivated emitter rear cell (PERC) process

  • This study has presented the costs involved in the replacement of standard Cz-Si PERC cells with black-Si PERC cells

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Summary

Introduction

The learning curve in the global photovoltaic (PV) industry [1,2,3,4,5] has resulted in continuous and aggressive reduction in the costs of solar modules [6,7]. PV installations provide a levelized cost of electricity (LCOE) lower than residential electricity prices from the grid [10] and at utility scales, PV is cost competitive with all conventional sources [11]. For the PV industry to expand electricity market share into the future [19], improving efficiencies is likely a key driver to further reduce the cost of solar energy [20]. This is because, historically, PV systems costs were lowered due to decreased module prices. Today, balance of systems (BOS) and installation costs make up a greater fraction of the systems costs

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