Your daily dose of photovoltaic technology developments and solar news

• Popular Technical Papers

  • Overview of automation in the photovoltaic industry
  • Understanding moisture ingress and packaging requirements for photovoltaic modules
  • Evaluation of encapsulant materials for PV applications
  • Inline processing of crystalline silicon solar cells: the holy grail for large-scale manufacturing?
  • PV sector outlook: an analyst’s perspective

• Featured Technical Papers

  • Transparent conducting oxide deposition techniques for thin-film photovoltaics
  • Comprehensive and advanced quality assurance measures for optimal yields from PV power plants
  • Surface passivation of silicon solar cells using industrially relevant Al2O3 deposition techniques
  • Influence of a-Si:H deposition temperature on thermal stability of a-Si:H/SiNx:H stacks
  • Integrated loops: a prerequisite for sustainable and environmentally-friendly polysilicon production

Investments in large photovoltaic factories can lead to high capital expenditure. To achieve a fast return on investment, it is essential to ensure a high utilization of process equipment. Optimization of photovoltaic factory performance requires a fundamental understanding of the processes as well as of the material flow and manufacturing equipment. Fraunhofer IPA has developed an approach to gather and analyze the factory data in order to detect and understand the logistic influencing factors. With this factory data, the performance of material flow systems and production equipments can be evaluated, leading to detection and elimination of inefficiencies in the manufacturing lines. The methods of acquiring and analyzing factory performance data as outlined in this article mainly focus on thin-film manufacturing lines, but are also applicable to crystalline technologies.

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