Publication:
Spatially resolved analysis and minimisation of resistive losses in high-efficiency Si solar cells

dc.contributor.author Altermatt, Peter en_US
dc.contributor.author Heiser, Gernot en_US
dc.contributor.author Aberle, Armin en_US
dc.contributor.author Wang, Alan en_US
dc.contributor.author Zhao, Jun en_US
dc.contributor.author Robinson, J en_US
dc.contributor.author Bowden, Simon en_US
dc.contributor.author Green, Martin en_US
dc.date.accessioned 2021-11-25T13:31:53Z
dc.date.available 2021-11-25T13:31:53Z
dc.date.issued 1996 en_US
dc.description.abstract This paper presents an improved method for measuring the total lumped series resistance (Rs) of high-efficiency solar cells. Since this method greatly minimizes the influence of non-linear recombination processes on the measured Rs values, it is possible to determine Rs as a function of external current density over a wide range of illumination levels with a significantly improved level of accuracy. This paper furthermore explains how resistive losses in the emitter, the base, the metal/silicon contacts and the front metal grid can be separately determined by combining measurements and multidimensional numerical simulations. A novel combination of device simulation and circuit simulation is introduced in order to simulate complete 2 × 2 cm2 PERL (passivated emitter and rear locally-diffused) silicon solar cells. These computer simulations provide improved insight into the dynamics of resistive losses, and thus allow new strategies for the optimization of resistive losses to be developed. The predictions have been experimentally verified with PERL cells, whose resistive losses were reduced to approximately half of their previous values, contributing to a new efficiency world record (24.0%) for silicon solar cells under terrestrial illumination. The measurement techniques and optimization strategies presented here can be applied to most other types of solar cells, and to materials other than silicon. en_US
dc.identifier.issn 1062-7995 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/39893
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.title Spatially resolved analysis and minimisation of resistive losses in high-efficiency Si solar cells en_US
dc.type Journal Article en
dcterms.accessRights metadata only access
dspace.entity.type Publication en_US
unsw.accessRights.uri http://purl.org/coar/access_right/c_14cb
unsw.identifier.doiPublisher http://dx.doi.org/10.1002/(SICI)1099-159X(199611/12)4:6<399::AID-PIP148>3.0.CO;2-4 en_US
unsw.relation.faculty Engineering
unsw.relation.ispartofissue 6 en_US
unsw.relation.ispartofjournal Progress in Photovoltaics en_US
unsw.relation.ispartofpagefrompageto 399-414 en_US
unsw.relation.ispartofvolume 4 en_US
unsw.relation.originalPublicationAffiliation Altermatt, Peter, Photovoltaics & Renewable Energy Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Heiser, Gernot, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Aberle, Armin, Photovoltaics & Renewable Energy Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Wang, Alan, Chemical Sciences & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Zhao, Jun, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Robinson, J en_US
unsw.relation.originalPublicationAffiliation Bowden, Simon, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Green, Martin, Photovoltaics & Renewable Energy Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.school School of Photovoltaic and Renewable Energy Engineering *
unsw.relation.school School of Computer Science and Engineering *
unsw.relation.school School of Chemical Engineering *
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