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Accelerating Cycles of Learning of Advanced Silicon Architectures: Cell Processing Approaches and their Effect on Degradation Mechanisms

Source: Department of Energy (DOE)

Project
Closed

This project will develop a process that can rapidly predict the performance and durability of new materials for silicon PV cells without having to fully optimize the new device first. This will save research time and effort by identifying which new silicon PV cell designs have the best potential to achieve both high efficiency and long operational lifetimes. The process will examine a wide spectr

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The project "Accelerating Cycles of Learning of Advanced Silicon Architectures: Cell Processing Approaches and their Effect on Degradation Mechanisms" is an infrastructure initiative in the Solar, Government, Education, Geothermal, Power Generation (CCGT) sector, located in Cleveland, United States of America (USA). Taiyo aggregates data from Department of Energy (DOE), including information on sponsoring government bodies, EPCs, and contractors.

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Description

Description

This project will develop a process that can rapidly predict the performance and durability of new materials for silicon PV cells without having to fully optimize the new device first. This will save research time and effort by identifying which new silicon PV cell designs have the best potential to achieve both high efficiency and long operational lifetimes. The process will examine a wide spectrum of factors that could affect the device performance–from stability of the silicon material itself to accelerated aging tests of the module components in different climates–to develop these predictions.

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