Distributed series resistance in a one-dimensional two-diode model revisited. (September 2017)
- Record Type:
- Journal Article
- Title:
- Distributed series resistance in a one-dimensional two-diode model revisited. (September 2017)
- Main Title:
- Distributed series resistance in a one-dimensional two-diode model revisited
- Authors:
- Wagner, Jan-Martin
Rißland, Sven
Schütt, Andreas
Carstensen, Jürgen
Adelung, Rainer - Abstract:
- Abstract: The lumped series resistance R s of large-area silicon solar cells, obtained from current–voltage ( I–U ) data according to the two-light-level method, varies along the I–U characteristic. Such a variation can most simply be described by the linear-response series resistance model (LR- R s ), recently developed in connection with luminescence imaging. Here, independently obtained experimental data are used to test the applicability of the LR- R s model to R s data based on I–U characteristics. After subtracting a non-distributed part from the measured R s data, the inverse of the remaining distributed part shows a scaling proportional to the inverse of the bias-dependent diode resistance; a slope value of 1 is used as predicted by the LR- R s model applied to a laterally one-dimensional geometry. The same experimental data have previously been interpreted based on a mathematically rather complicated model published already many years ago; just recently it was found that in some cases this model may lead to unphysical results. The present LR- R s model based proper interpretation of the variation of the lumped series resistance along the I–U characteristic leads to a roughly half-by-half splitting between the distributed and the non-distributed part of R s . This share has been observed many years for "economically reasonable" solar cells investigated by the CELLO technique. The successful usage of the LR- R s model for I–U based R s data is a strong hint that itsAbstract: The lumped series resistance R s of large-area silicon solar cells, obtained from current–voltage ( I–U ) data according to the two-light-level method, varies along the I–U characteristic. Such a variation can most simply be described by the linear-response series resistance model (LR- R s ), recently developed in connection with luminescence imaging. Here, independently obtained experimental data are used to test the applicability of the LR- R s model to R s data based on I–U characteristics. After subtracting a non-distributed part from the measured R s data, the inverse of the remaining distributed part shows a scaling proportional to the inverse of the bias-dependent diode resistance; a slope value of 1 is used as predicted by the LR- R s model applied to a laterally one-dimensional geometry. The same experimental data have previously been interpreted based on a mathematically rather complicated model published already many years ago; just recently it was found that in some cases this model may lead to unphysical results. The present LR- R s model based proper interpretation of the variation of the lumped series resistance along the I–U characteristic leads to a roughly half-by-half splitting between the distributed and the non-distributed part of R s . This share has been observed many years for "economically reasonable" solar cells investigated by the CELLO technique. The successful usage of the LR- R s model for I–U based R s data is a strong hint that its underlying physical concepts are of general validity. … (more)
- Is Part Of:
- Energy procedia. Volume 124(2017)
- Journal:
- Energy procedia
- Issue:
- Volume 124(2017)
- Issue Display:
- Volume 124, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 124
- Issue:
- 2017
- Issue Sort Value:
- 2017-0124-2017-0000
- Page Start:
- 197
- Page End:
- 206
- Publication Date:
- 2017-09
- Subjects:
- standard equivalent circuit -- current–voltage characteristic -- series resistance -- injection dependence -- one-dimensional solar cell modeling -- linear response theory
Power resources -- Congresses
Power resources -- Periodicals
Power resources
Conference proceedings
Periodicals
333.7905 - Journal URLs:
- http://www.sciencedirect.com/science/journal/18766102 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.egypro.2017.09.313 ↗
- Languages:
- English
- ISSNs:
- 1876-6102
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.729700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11420.xml