Sold out

Sensitivity Analysis of Silicon PERC Solar Cells

English · Paperback / Softback

Description

Read more

With the photovoltaics entering the era of over 100 GWp annual peak power production capacity and decreasing technology life cycle times, the demand for quickly and easily applicable but yet accurate solar cell characterization and sensitivity analysis methods is growing. Also, to enhance the quality and the yield of solar cell production lines, understanding the variations of cell efficiencies is essential.
For this end, this work introduces a novel approach based on metamodeling and variance-based sensitivity analysis that allows to assign each solar cell feature and process its share in total efficiency variance. For examining and improving the absolute level of efficiencies, a modeling-free efficiency gain analysis is deduced, revealing the dominant loss mechanisms to be tackled. Using the ability of the metamodeling to simulate vast parameter spaces, the potential of PERC solar cells as well as the impact of fundamental model uncertainties on numerical efficiency simulations are determined. Alongside, metrology to measure the cell performance characteristics spatially-resolved in a contactless manner as well as inline detection and evaluation of hot spots are discussed.

Product details

Authors Sven Wasmer
Assisted by Freiburg/Brsg. Fraunhofer ISE (Editor)
Publisher Fraunhofer Verlag
 
Languages English
Product format Paperback / Softback
Released 01.01.2020
 
EAN 9783839616529
ISBN 978-3-8396-1652-9
No. of pages 266
Illustrations num., mostly col. illus. and tab.
Series Solare Energie- und Systemforschung / Solar Energy and Systems Research,
Subject Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.