Economic Advantages of Dry-Etched Black Silicon in Passivated Emitter Rear Cell (PERC) Photovoltaic Manufacturing
At a Glance
Section titled āAt a Glanceā| Metadata | Details |
|---|---|
| Publication Date | 2018-09-05 |
| Journal | Energies |
| Authors | Chiara Modanese, Hannu S. Laine, Toni P. Pasanen, Hele Savin, Joshua M. Pearce |
| Institutions | Aalto University, Tieto (Finland) |
| Citations | 32 |
Abstract
Section titled āAbstractāIndustrial 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.
Tech Support
Section titled āTech SupportāOriginal Source
Section titled āOriginal SourceāReferences
Section titled āReferencesā- 2007 - The future role of photovoltaics: A learning curve versus portfolio perspective [Crossref]
- 2011 - Unraveling the photovoltaic technology learning curve by incorporation of input price changes and scale effects [Crossref]
- 2015 - Scenario analysis for estimating the learning rate of photovoltaic power generation based on learning curve theory in South Korea [Crossref]
- 2016 - The determinants of photovoltaic system costs: an evaluation using a hierarchical learning curve model [Crossref]
- 2016 - Photovoltaic learning rate estimation: Issues and implications [Crossref]
- 2011 - A review of solar photovoltaic levelized cost of electricity [Crossref]