A new spectral response measurement routine is proposed that is universally applicable for all perovskite devices. It is aimed at improving measurement accuracy and repeatability of spectral response curves and current-voltage curve spectral mismatch factor corrections. Frequency response, effects of preconditioning as well as dependency on incident light intensity
and voltage load on spectral response measurements are characterized on two differently structured perovskite device
types. It is shown that device preconditioning affects the spectral
response shape, causing errors in spectral mismatch factor corrections of up to 0.8% when using a reference cell with a good
spectral match and a class A solar simulator. Wavelength dependent response to incident light intensity and voltage load is
observed on both device types, which highlights the need to measure at short circuit current and maximum power point to
correct spectral mismatch. The method with recommendations given ensures the correct measurement conditions are applied and
measurements are corrected for instability in performance.
Funding
The authors are grateful for funding of this work through the EPSRC SUPERGEN SuperSolar Hub (EP/J017361/1). This project has received funding from the EMPIR programme cofinanced by the Participating States and from the European Union’s Horizon 2020 research and innovation programme.
The main author also received support from the British Council Newton Fund Institutional Link Project: Enhancement of
Photovoltaic and Wind Turbine Performance for High Temperature and Low Wind Speed Environments.
History
School
Mechanical, Electrical and Manufacturing Engineering
Published in
IEEE Journal of Photovoltaics
Citation
BLISS, M. ... et al., 2019. Spectral response measurements of Perovskite solar cells. IEEE Journal of Photovoltaics, 9(1) , pp. 220 - 226.
Publisher
Institute of Electrical and Electronics Engineers
Version
VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/
Acceptance date
2018-10-15
Publication date
2018-11-14
Notes
This is an Open Access Article. It is published by IEEE under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/3.0/.