A green solvent enables precursor phase engineering of stable formamidinium lead triiodide perovskite solar cells

Nature Communications Nature Research 15:1 (2024) 10110

Authors:

Benjamin M Gallant, Philippe Holzhey, Joel A Smith, Saqlain Choudhary, Karim A Elmestekawy, Pietro Caprioglio, Igal Levine, Alexandra A Sheader, Esther Y-H Hung, Fengning Yang, Daniel TW Toolan, Rachel C Kilbride, Karl-Augustin Zaininger, James M Ball, M Greyson Christoforo, Nakita K Noel, Laura M Herz, Dominik J Kubicki, Henry J Snaith

Abstract:

Perovskite solar cells (PSCs) offer an efficient, inexpensive alternative to current photovoltaic technologies, with the potential for manufacture via high-throughput coating methods. However, challenges for commercial-scale solution-processing of metal-halide perovskites include the use of harmful solvents, the expense of maintaining controlled atmospheric conditions, and the inherent instabilities of PSCs under operation. Here, we address these challenges by introducing a high volatility, low toxicity, biorenewable solvent system to fabricate a range of 2D perovskites, which we use as highly effective precursor phases for subsequent transformation to 伪-formamidinium lead triiodide (伪-FAPbI3), fully processed under ambient conditions. PSCs utilising our 伪-FAPbI3 reproducibly show remarkable stability under illumination and elevated temperature (ISOS-L-2) and 鈥渄amp heat鈥� (ISOS-D-3) stressing, surpassing other state-of-the-art perovskite compositions. We determine that this enhancement is a consequence of the 2D precursor phase crystallisation route, which simultaneously avoids retention of residual low-volatility solvents (such as DMF and DMSO) and reduces the rate of degradation of FA+ in the material. Our findings highlight both the critical role of the initial crystallisation process in determining the operational stability of perovskite materials, and that neat FA+-based perovskites can be competitively stable despite the inherent metastability of the 伪-phase.

Direct visualization of the charge transfer state dynamics in dilute-donor organic photovoltaic blends

Nature Communications Springer Nature 15:1 (2024) 9851

Authors:

Gareth John Moore, Florian G眉nther, Kaila M Yallum, Martina Causa鈥�, Anna Jungbluth, Julien R茅hault, Moritz Riede, Frank Ortmann, Natalie Banerji

Abstract:

The interconversion dynamics between charge transfer state charges (CTCs) and separated charges (SCs) is still an unresolved issue in the field of organic photovoltaics. Here, a transient absorption spectroscopy (TAS) study of a thermally evaporated small-molecule:fullerene system (伪6T:C60) in different morphologies (dilute intermixed and phase separated) is presented. Spectral decomposition reveals two charge species with distinct absorption characteristics and different dynamics. Using time-dependent density functional theory, these species are identified as CTCs and SCs, where the spectral differences arise from broken symmetry in the charge transfer state that turns forbidden transitions into allowed ones. Based on this assignment, a kinetic model is formulated allowing the characterization of the charge generation, separation, and recombination mechanisms. We find that SCs are either formed directly from excitons within a few picoseconds or more slowly (~30鈥�80 ps) from reversible splitting of CTCs. These findings constitute the first unambiguous observation of spectrally resolved CTCs and SCs.

From generation to collection 鈥� impact of deposition temperature on charge carrier dynamics of high-performance vacuum-processed organic solar cells

Energy & Environmental Science Royal Society of Chemistry (RSC) (2024)

Authors:

Richard Adam Pacalaj, Yifan Dong, Ivan Ramirez, Roderick CI MacKenzie, Seyed Mehrdad Hosseini, Eva Bittrich, Julian Eliah Heger, Pascal Kaienburg, Subhrangsu Mukherjee, Jiaying Wu, Moritz Riede, Harald Ade, Peter M眉ller-Buschbaum, Martin Pfeiffer, James Robert Durrant

Abstract:

<jats:p>Substrate heating during co-evaporation of bulk heterojunction organic solar cells aids phase separation and improves performance. While recombination remains unaffected, hole transport improves due to more crystalline donor domains.</jats:p>

Roadmap on established and emerging photovoltaics for sustainable energy conversion

Journal of Physics: Energy IOP Publishing (2024)

Authors:

James C Blakesley, Ruy Sebastian Bonilla, Marina Freitag, Alex Ganose, Nicola Gasparini, Pascal Kaienburg, George Koutsourakis, Jonathan D Major, Jenny Nelson, Nakita K Noel, Bart Roose, Jae Sung Yun, Simon Aliwell, Pietro Altermatt, Tayebeh Ameri, Virgil Andrei, Ardalan Armin, Diego Bagnis, Jenny Baker, Hamish Beath, Mathieu Bellanger, Philippe Berrouard, Jochen Blumberger, Stuart Boden, Hugo Bronstein, Matthew J Carnie, Chris Case, Fernando A Castro, Yi-Ming Chang, Elmer Chao, Tracey M Clarke, Graeme Cooke, Pablo Docampo, Ken Durose, James Durrant, Marina Filip, Richard H Friend, Jarvist M Frost, Elizabeth Gibson, Alexander J Gillett, Pooja Goddard, Severin Habisreutinger, Martin Heeney, Arthur D Hendsbee, Louise Caroline Hirst, Saiful Islam, Imalka Jayawardena, Michael Johnston, Matthias Kauer, Jeff Kettle, Ji-Seon Kim, Dan Lamb, David G Lidzey, Jihoo Lim, Roderick Mackenzie, Nigel Mason, Iain McCulloch, Keith McKenna, Sebastian Meier, Paul Meredith, Graham Morse, John Murphy, Chris Nicklin, Paloma Ortega-Arriaga, Thomas Osterberg, Jay Patel, Anthony Peaker, Moritz Riede, Martyn Rush, James Ryan, David O Scanlon, Peter Skabara, Franky So, Henry J Snaith, Ludmilla Steier, Jarla Thiesbrummel, Alessandro Troisi, Craig Underwood, Karsten Walzer, Trystan M Watson, Michael Walls, Aron Walsh, Lucy Dorothy Whalley, Benedict Winchester, Sam Stranks, Robert Hoye

Abstract:

Abstract Photovoltaics (PVs) are a critical technology for curbing growing levels of anthropogenic greenhouse gas emissions, and meeting increases in future demand for low-carbon electricity. In order to fulfil ambitions for net-zero carbon dioxide equivalent (CO2eq) emissions worldwide, the global cumulative capacity of solar PVs must increase by an order of magnitude from 0.9 TWp in 2021 to 8.5 TWp by 2050 according to the International Renewable Energy Agency, which is considered to be a highly conservative estimate. In 2020, the Henry Royce Institute brought together the UK PV community to discuss the critical technological and infrastructure challenges that need to be overcome to address the vast challenges in accelerating PV deployment. Herein, we examine the key developments in the global community, especially the progress made in the field since this earlier roadmap, bringing together experts primarily from the UK across the breadth of the photovoltaics community. The focus is both on the challenges in improving the efficiency, stability and levelized cost of electricity of current technologies for utility-scale PVs, as well as the fundamental questions in novel technologies that can have a significant impact on emerging markets, such as indoor PVs, space PVs, and agrivoltaics. We discuss challenges in advanced metrology and computational tools, as well as the growing synergies between PVs and solar fuels, and offer a perspective on the environmental sustainability of the PV industry. Through this roadmap, we emphasize promising pathways forward in both the short- and long-term, and for communities working on technologies across a range of maturity levels to learn from each other.

Machine learning discovery of cost-efficient dry cooler designs for concentrated solar power plants

Scientific Reports Nature Research 14:1 (2024) 19086

Authors:

Hansley Narasiah, Ouail Kitouni, Andrea Scorsoglio, Bernd K Sturdza, Shawn Hatcher, Kelsi Katcher, Javad Khalesi, Dolores Garcia, Matt J Kusner

Abstract:

Concentrated solar power (CSP) is one of the few sustainable energy technologies that offers day-to-night energy storage. Recent development of the supercritical carbon dioxide (sCO2) Brayton cycle has made CSP a potentially cost-competitive energy source. However, as CSP plants are most efficient in desert regions, where there is high solar irradiance and low land cost, careful design of a dry cooling system is crucial to make CSP practical. In this work, we present a machine learning system to optimize the factory design and configuration of a dry cooling system for an sCO2 Brayton cycle CSP plant. For this, we develop a physics-based simulation of the cooling properties of an air-cooled heat exchanger. The simulator is able to construct a dry cooling system satisfying a wide variety of power cycle requirements (e.g., 10鈥�100 MW) for any surface air temperature. Using this simulator, we leverage recent results in high-dimensional Bayesian optimization to optimize dry cooler designs that minimize lifetime cost for a given location, reducing this cost by 67% compared to recently proposed designs. Our simulation and optimization framework can increase the development pace of economically-viable sustainable energy generation systems.