Drift diffusion modelling of charge transport in photovoltaic devices
Drift diffusion modelling of charge transport in photovoltaic devices
Much thin film photovoltaic (PV) device research is based on a ‘shake and bake’ approach, uninformed by an understanding of the underlying mechanisms. These devices consist of several layers of different materials so that the number of potential materials combinations is enormous. Atomistic models do not work on the length scales needed to study charge transport so device models are essential. The drift diffusion (DD) method is appropriate for charge transport in layered devices. This chapter describes the concepts underpinning DD simulations, provides a ‘how to’ guide for 1-dimensional DD simulation and shows how rescaling the variables leads to considerable insight into the physics of the problem. Finding an equivalent circuit for an organic PV device is given as an example. Since DD models of organic PV devices are reviewed in Chapter 13, our main example shows how a more sophisticated approach, employing a spectral method that predicts coupled ion–electron conduction in perovskite devices, allows us to understand the effect of mobile ions on the operational mechanism of the device.
297-331
Royal Society of Chemistry
Richardson, Giles
3fd8e08f-e615-42bb-a1ff-3346c5847b91
Walker, Alison
4d255ac5-1772-4562-b116-b7e6608123d9
8 August 2016
Richardson, Giles
3fd8e08f-e615-42bb-a1ff-3346c5847b91
Walker, Alison
4d255ac5-1772-4562-b116-b7e6608123d9
Richardson, Giles and Walker, Alison
(2016)
Drift diffusion modelling of charge transport in photovoltaic devices.
In,
Unconventional Thin Film Photovoltaics.
(Energy and Environment Series)
Royal Society of Chemistry, .
(doi:10.1039/9781782624066-00297).
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Abstract
Much thin film photovoltaic (PV) device research is based on a ‘shake and bake’ approach, uninformed by an understanding of the underlying mechanisms. These devices consist of several layers of different materials so that the number of potential materials combinations is enormous. Atomistic models do not work on the length scales needed to study charge transport so device models are essential. The drift diffusion (DD) method is appropriate for charge transport in layered devices. This chapter describes the concepts underpinning DD simulations, provides a ‘how to’ guide for 1-dimensional DD simulation and shows how rescaling the variables leads to considerable insight into the physics of the problem. Finding an equivalent circuit for an organic PV device is given as an example. Since DD models of organic PV devices are reviewed in Chapter 13, our main example shows how a more sophisticated approach, employing a spectral method that predicts coupled ion–electron conduction in perovskite devices, allows us to understand the effect of mobile ions on the operational mechanism of the device.
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e-pub ahead of print date: 16 July 2016
Published date: 8 August 2016
Organisations:
Applied Mathematics
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Local EPrints ID: 406245
URI: http://eprints.soton.ac.uk/id/eprint/406245
PURE UUID: 677a3ceb-6b63-48e3-a3cf-c11373cebb4d
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Date deposited: 10 Mar 2017 10:43
Last modified: 16 Mar 2024 04:00
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Author:
Alison Walker
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