High-Efficiency Flexible and Scalable Halide-Perovskite Solar Modules
Lead Research Organisation:
University of Surrey
Department Name: ATI Electronics
Abstract
To date, crystalline silicon-based solar cells dominate 90% of the solar market due to their technological maturity and high power conversion efficiency (PCE) of ~ 25%. However, these cells suffer from relatively high production costs, long energy payback times and are rigid, with heavy form factors. They are therefore unsuitable to power the rapidly growing portable electronics market, particularly wearables and Internet of Things (IoT) devices that are expected to reach trillions of units in the next few years. Current commercial solar technologies are also not compatible with the blooming mobile solar markets requiring high specific power (W/kg) or portable electronics requiring flexible form factors. It is therefore urgent to develop cheaper materials together with scalable manufacturing techniques to further accelerate the uptake of solar electricity. Here, metal halide perovskites have emerged as a new class of semiconductor having important applications in next generation solar cells. Indeed, an unprecedented advancement in the PCE of perovskite solar cells (PSCs) has resulted in the demonstration of devices having certified PCEs of 25.2% within just 8 years. Significantly, such materials are based on inexpensive starting compounds that can be processed at low-temperatures using solution-based techniques; properties that open up disruptive technology applications.
In this proposal we will develop fully flexible perovskite solar cells, with our aim being the development of devices that can power wearable technologies and IoT wireless devices. Scale-up of such technologies are also likely to find longer-term applications in utility and rooftop power generation and mobile solar (e.g. electric vehicles), and will be facilitated by a combination of ultra-low cost, high-volume manufacture processes together with selection of materials having reduced embodied energy. Here, the use of perovskite semiconductors is critical, as they can be deposited on temperature sensitive flexible plastic substrates using low-temperature processes.
We expect that success in our research will - in a shorter time frame - open the very large wearables and IoT power-source markets, and will power the increasing number of mobile (wireless) technologies that currently utilise conventional Li-ion power batteries. Indeed, there are already over 50 billion IoT devices in the market that currently map and gather information, and 127 new devices are connected to the internet each second, leading to a potential IoT market worth of US$1 trillion by 2023.
However the 10 trillion wireless sensors delivering the data needed by the IoT will need one million tons of lithium if they are to be powered by batteries; this represents the combined worldwide lithium production in 10 years. Besides the environmental impact of battery production, disposal and recycling, there are further costs that should be considered as batteries need regular maintenance.
Looking further ahead, we expect our project to de-risk the application of PSCs for larger scale deployment. Here, the exploitation of clean and renewable energy sources is a global challenge that we must solve in the next 30 years if we are to avoid non-reversible environmental changes. We therefore propose to exceed the state of the art in the development of current flexible perovskite solar cells (f-PSCs), where current single-junction perovskite devices demonstrate power conversion efficiencies of ~19% -- surpassing all competing flexible technologies. This will be developed together with key stability demonstrations.
Our project team represents some of the leading international experts in halide perovskite photovoltaics, including the leading industry partners in this space, giving a very high likelihood of success - allowing us to power a smart and flexible electronics future.
In this proposal we will develop fully flexible perovskite solar cells, with our aim being the development of devices that can power wearable technologies and IoT wireless devices. Scale-up of such technologies are also likely to find longer-term applications in utility and rooftop power generation and mobile solar (e.g. electric vehicles), and will be facilitated by a combination of ultra-low cost, high-volume manufacture processes together with selection of materials having reduced embodied energy. Here, the use of perovskite semiconductors is critical, as they can be deposited on temperature sensitive flexible plastic substrates using low-temperature processes.
We expect that success in our research will - in a shorter time frame - open the very large wearables and IoT power-source markets, and will power the increasing number of mobile (wireless) technologies that currently utilise conventional Li-ion power batteries. Indeed, there are already over 50 billion IoT devices in the market that currently map and gather information, and 127 new devices are connected to the internet each second, leading to a potential IoT market worth of US$1 trillion by 2023.
However the 10 trillion wireless sensors delivering the data needed by the IoT will need one million tons of lithium if they are to be powered by batteries; this represents the combined worldwide lithium production in 10 years. Besides the environmental impact of battery production, disposal and recycling, there are further costs that should be considered as batteries need regular maintenance.
Looking further ahead, we expect our project to de-risk the application of PSCs for larger scale deployment. Here, the exploitation of clean and renewable energy sources is a global challenge that we must solve in the next 30 years if we are to avoid non-reversible environmental changes. We therefore propose to exceed the state of the art in the development of current flexible perovskite solar cells (f-PSCs), where current single-junction perovskite devices demonstrate power conversion efficiencies of ~19% -- surpassing all competing flexible technologies. This will be developed together with key stability demonstrations.
Our project team represents some of the leading international experts in halide perovskite photovoltaics, including the leading industry partners in this space, giving a very high likelihood of success - allowing us to power a smart and flexible electronics future.
Publications
Perera W
(2025)
Improved stability and electronic homogeneity in perovskite solar cells via a nanoengineered buried oxide interlayer
in EES Solar
Blackburn D
(2025)
Back-Contact Perovskite Solar Cell Modules Fabricated via Roll-to-Roll Slot-Die Coating: Scale-Up toward Manufacturing
in ACS Applied Energy Materials
Fitzsimmons MR
(2025)
Optimized Graphene-Oxide-Based Interconnecting Layer in All-Perovskite Tandem Solar Cells.
in ACS energy letters
| Description | Much progress made on the research findings and the know-how generated has been very significant. Many journal publications have arisen and these are now being pursued for full exploitation. |
| Exploitation Route | Please see publications and websites of the respective universities involved. |
| Sectors | Energy |
| Description | Work output has informed policy and submitted to a select committee on mapping out the energy landscape needed for net carbon zero by 2050. |
| First Year Of Impact | 2023 |
| Sector | Energy |
| Impact Types | Societal Policy & public services |
| Description | Technological innovations and climate change: onshore solar energy |
| Geographic Reach | National |
| Policy Influence Type | Participation in a guidance/advisory committee |
| URL | https://committees.parliament.uk/event/17041/formal-meeting-oral-evidence-session/ |
| Description | Nonplanar spray-coated solar cells |
| Amount | £258,290 (GBP) |
| Funding ID | EP/Z002494/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 12/2024 |
| End | 05/2026 |
| Title | Alumina nanoparticles enable optimal spray-coated perovskite thin film growth on self-assembled monolayers for efficient and reproducible photovoltaics |
| Description | The power conversion efficiencies of metal halide perovskite photovoltaics have increased rapidly over the past decade attracting significant academic and industrial interest. The ease with which high performance perovskite photovoltaics can be fabricated through solution processing routes has opened up significant possibilities for fabrication through existing, industrially mature high-throughput solution coating techniques such as spray-coating. The power conversion efficiencies of spray-coated metal halide perovskite photovoltaics are limited by non-radiative recombination at the interfaces with charge transport layers necessitating the implementation of new charge transport layers. The self-assembled monolayer (SAM) charge transport layers have resulted in record perovskite photovoltaic device performances, due to reduced non-radiative recombination. However, poor wettability associated with some SAMs significantly limits their applicability, this is exaggerated for droplet-based scalable technologies like spray-coating. Here we report an optimised aluminium oxide nanoparticle interlayer which enables spray-coating of triple cation metal halide perovskite thin films and devices onto Me-4PACz (([4-(3,6-dimethyl-9H-carbazol-9-yl)butyl]phosphonic acid). Our interlayer results in improved structural and optoelectronic properties of spray-coated perovskite thin films, compared to those fabricated through spin-coating. These improved properties enable the fabrication of p-i-n photovoltaic devices with efficiencies over 20 % - some of the highest reported for both spray-coated devices in p-i-n architecture, and devices having a spray-coated "triple cation" perovskite active layer. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://orda.shef.ac.uk/articles/dataset/Alumina_nanoparticles_enable_optimal_spray-coated_perovskit... |
| Title | Alumina nanoparticles enable optimal spray-coated perovskite thin film growth on self-assembled monolayers for efficient and reproducible photovoltaics |
| Description | The power conversion efficiencies of metal halide perovskite photovoltaics have increased rapidly over the past decade attracting significant academic and industrial interest. The ease with which high performance perovskite photovoltaics can be fabricated through solution processing routes has opened up significant possibilities for fabrication through existing, industrially mature high-throughput solution coating techniques such as spray-coating. The power conversion efficiencies of spray-coated metal halide perovskite photovoltaics are limited by non-radiative recombination at the interfaces with charge transport layers necessitating the implementation of new charge transport layers. The self-assembled monolayer (SAM) charge transport layers have resulted in record perovskite photovoltaic device performances, due to reduced non-radiative recombination. However, poor wettability associated with some SAMs significantly limits their applicability, this is exaggerated for droplet-based scalable technologies like spray-coating. Here we report an optimised aluminium oxide nanoparticle interlayer which enables spray-coating of triple cation metal halide perovskite thin films and devices onto Me-4PACz (([4-(3,6-dimethyl-9H-carbazol-9-yl)butyl]phosphonic acid). Our interlayer results in improved structural and optoelectronic properties of spray-coated perovskite thin films, compared to those fabricated through spin-coating. These improved properties enable the fabrication of p-i-n photovoltaic devices with efficiencies over 20 % - some of the highest reported for both spray-coated devices in p-i-n architecture, and devices having a spray-coated "triple cation" perovskite active layer. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://orda.shef.ac.uk/articles/dataset/Alumina_nanoparticles_enable_optimal_spray-coated_perovskit... |
| Title | CCDC 2243417: Experimental Crystal Structure Determination |
| Description | Related Article: Elisabeth A. Duijnstee, Benjamin M. Gallant, Philippe Holzhey, Dominik J. Kubicki, Silvia Collavini, Bernd K. Sturdza, Harry C. Sansom, Joel Smith, Matthias J. Gutmann, Santanu Saha, Murali Gedda, Mohamad I. Nugraha, Manuel Kober-Czerny, Chelsea Xia, Adam D. Wright, Yen-Hung Lin, Alexandra J. Ramadan, Andrew Matzen, Esther Y.-H. Hung, Seongrok Seo, Suer Zhou, Jongchul Lim, Thomas D. Anthopoulos, Marina R. Filip, Michael B. Johnston, Robin J. Nicholas, Juan Luis Delgado?, Henry J. Snaith|2023|J.Am.Chem.Soc.|145|10275|doi:10.1021/jacs.3c01531 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2f9g9j&sid=DataCite |
| Title | CCDC 2243418: Experimental Crystal Structure Determination |
| Description | Related Article: Elisabeth A. Duijnstee, Benjamin M. Gallant, Philippe Holzhey, Dominik J. Kubicki, Silvia Collavini, Bernd K. Sturdza, Harry C. Sansom, Joel Smith, Matthias J. Gutmann, Santanu Saha, Murali Gedda, Mohamad I. Nugraha, Manuel Kober-Czerny, Chelsea Xia, Adam D. Wright, Yen-Hung Lin, Alexandra J. Ramadan, Andrew Matzen, Esther Y.-H. Hung, Seongrok Seo, Suer Zhou, Jongchul Lim, Thomas D. Anthopoulos, Marina R. Filip, Michael B. Johnston, Robin J. Nicholas, Juan Luis Delgado?, Henry J. Snaith|2023|J.Am.Chem.Soc.|145|10275|doi:10.1021/jacs.3c01531 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2f9gbk&sid=DataCite |
| Title | CCDC 2243718: Experimental Crystal Structure Determination |
| Description | Related Article: Elisabeth A. Duijnstee, Benjamin M. Gallant, Philippe Holzhey, Dominik J. Kubicki, Silvia Collavini, Bernd K. Sturdza, Harry C. Sansom, Joel Smith, Matthias J. Gutmann, Santanu Saha, Murali Gedda, Mohamad I. Nugraha, Manuel Kober-Czerny, Chelsea Xia, Adam D. Wright, Yen-Hung Lin, Alexandra J. Ramadan, Andrew Matzen, Esther Y.-H. Hung, Seongrok Seo, Suer Zhou, Jongchul Lim, Thomas D. Anthopoulos, Marina R. Filip, Michael B. Johnston, Robin J. Nicholas, Juan Luis Delgado?, Henry J. Snaith|2023|J.Am.Chem.Soc.|145|10275|doi:10.1021/jacs.3c01531 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2f9s0k&sid=DataCite |
| Title | Research data for: Halide remixing under device operation imparts stability on mixed-cation mixed-halide perovskite solar cells |
| Description | This entry contains the data required to reproduce the figures from the main text of the associated manuscript. This includes: - GIWAXS diffractograms (calibrated, processed, and extracted to a readily-readable format) and relative extracted peak positions - current vs time data - current vs voltage data - photoluminescence spectra (wavelength-dependent, and eV-dependent) and relative peak positions. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | https://www.repository.cam.ac.uk/handle/1810/339701 |
| Title | Research data supporting "Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging" |
| Description | Contents of the dataset: Fig 3a-e.zip: Zip file containing a raw hyperspectral photoluminescence (PL) 3D cube of a self-assembled CsPbBr3 perovskite nanoplatelet film in Hierarchical Data Format (HDF5). Image pixel size is 66 nm. The wavelength range is 420-550 nm with a step size of 2 nm. The sample was unencapsulated and measured in air under a 405 nm continuous-wave (CW) laser with an excitation intensity of 100 mW/cm2. SourceData_Fig1.xlsx: Non-blind denoising results on a 3D airborne hyperspectral remote sensing image of the Washington DC Mall (public dataset link: https://engineering.purdue.edu/~biehl/MultiSpec/hyperspectral.html). SourceData_Fig2.xlsx: Blind denoising results on a 3D hyperspectral microscopy image of organic mCBP-doped 4CzIPN films. SourceData_Fig3.xlsx: 1) Statistics on signal-to-noise ratio and PL peak prediction for PL mapping of self-assembled CsPbBr3 perovskite nanoplatelet film from 440 to 540 nm (dataset in Fig 3a-e.zip). 2) Raw PL spectrum over time of a thermally evaporated wide-gap FA0.7Cs0.3Pb(I0.6Br0.4)3 perovskite film for 20 min of laser exposure. The data was collected from a sub-micron region (330 x 330 nm) of an unencapsulated film in ambient condition. SourceData_Fig4.xlsx: 1) Raw electroluminescence (EL) spectrum over time on mixed Br/Cl blue-emitting perovskite LEDs at a bias voltage of 6 V. 2) Statistics of local-EL peak over time on 14,044 local points (330 x 330 nm spatially resolved). SourceData_ExData_Fig2.xlsx: Raw activation data from the first 32 channels of the first batch-normalization layer output of PA-Net and PA-CNN using noisy image inputs of various noise levels. SourceData_ExData_Fig4.xlsx: Statistics of 119,931 local-PL peak predictions of CsPbBr3 perovskite nanoplatelet film (dataset in Fig 3a-e.zip). SourceData_ExData_Fig5.xlsx: 1) Raw local-PL data of Cs0.05FA0.78MA0.17Pb(I0.83Br0.17)3 perovskite film on SnO2/ITO/glass substrates. 2) Statistics on signal-to-noise ratio against wavelength from 700 to 900 nm. SourceData_ExData_Fig6.xlsx: EL peak prediction results across 500-pixel line scan (330 nm pixel size) of mixed Br/Cl blue-emitting perovskite LEDs at 0 min and 10 min of device operation. Abstract of paper that the dataset supports: Emerging functional materials such as halide perovskites are intrinsically unstable, causing long-term instability in optoelectronic devices made from these materials. This leads to difficulty in capturing useful information on device degradation through time-consuming optical characterisation in their operating environments. Despite these challenges, understanding the degradation mechanism is crucial for advancing the technology towards commercialisation. Here we present a self-supervised machine learning model that utilises a multi-channel correlation and blind denoising to recover images without high-quality references, enabling fast and low-dose measurements. We perform operando luminescence mapping of various emerging optoelectronic semiconductors, including organic and halide perovskite photovoltaic and light-emitting devices. By tracking the spatially resolved degradation in electroluminescence of mixed-halide perovskite blue light-emitting diodes, we discovered that lateral ion migration (perpendicular to the external electric field) during device operation triggers the formation of chloride-rich defective regions that emit poorly - a mechanism which would not be resolvable with conventional imaging approaches. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | https://www.repository.cam.ac.uk/handle/1810/357938 |
| Title | Research data supporting "Strain Heterogeneity and Extended Defects in Halide Perovskite Devices" |
| Description | Datasets accompanying "Strain Heterogeneity and Extended Defects in Halide Perovskite Devices". Bragg coherent diffraction data was acquired at beamline I13-1 (Diamond Light Source), with reconstructions performed with the MATLAB script provided. Device fabrication, as well as: photoluminescence, powder X-ray diffraction, scanning electron microscopy, current-voltage measurements were performed at home institutions. Please also refer to the README files contained within each of the subfolders. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://www.repository.cam.ac.uk/handle/1810/372363 |
| Title | Research data supporting 'Fabrication of red-emitting perovskite LEDs by stabilizing their octahedral structure' |
| Description | The data sets stored here accompany the related research article, showing the data that forms the figures in the main text of the publication. Figure 1 includes data associated with interaction and configuration between MOPA and perovskite. Figure 2 and 3 include optoelectronic characterization of films and devices. Figure 4 includes stability analysis of devices. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://www.repository.cam.ac.uk/handle/1810/368691 |
| Description | Partnership with Corning, USA |
| Organisation | Corning Inc. |
| Country | United States |
| Sector | Private |
| PI Contribution | Testing of perovskite solar cells on flexible Corning glass substrates |
| Collaborator Contribution | Supply of substrates for testing of PSC performance |
| Impact | On-going |
| Start Year | 2022 |
| Description | Power Roll partnership |
| Organisation | Power Roll Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Power Roll Ltd -continued partnership, with research done jointly during this project by Elena Cassella (Sheffield) |
| Collaborator Contribution | Joint development work on technical solar panels for potential deployment at scale. |
| Impact | Multidisciplinary output that is commercially sensitive at present. |
| Start Year | 2024 |
