industry news
Subscribe Now

New ‘ingredient’ to support green hydrogen power production

Another advance has been made by experts in nano-scale chemistry to propel further development of sustainable and efficient generation of hydrogen from water using solar power.

In a new international collaborative study – led by Flinders University with collaborators in South Australia, the US and Germany – experts have identified a novel solar cell process to potentially use in future technologies for photocatalytic water splitting in green hydrogen production. 

Combined with a catalyst – developed by US research led by Professor Paul Maggard – for water splitting, the study found the new class of kinetically stable ‘core and shell Sn(II)-perovskite’ oxide solar material could be a potential catalyst for the critical oxygen evolution reaction in producing pollution-free hydrogen energy in future.

The results, published in the peer-reviewed The Journal of Physical Chemistry C, pave the way for further inroads into carbon-free ‘green’ hydrogen technologies using non-greenhouse-gas-emitting forms of power with high-performing, affordable electrolysis.

“This latest study is an important step forwards in understanding how these tin compounds can be stabilised and effective in water,” says lead author Professor Gunther Andersson, from the Flinders Institute for Nanoscale Science and Technology at the College of Science and Engineering.

“Our reported material points to a novel chemical strategy for absorbing the broad energy range of sunlight and using it to drive fuel-producing reactions at its surfaces,” adds Professor Paul Maggard, from the Department of Chemistry and Biochemistry at Baylor University.  

Already these tin and oxygen compounds are used in a variety of applications, including catalysis, diagnostic imaging and therapeutic drugs. However, Sn(II) compounds are reactive with water and dioxygen, which can limit their technological applications.

Solar photovoltaic research around the world is focusing on developing cost-effective, high performance perovskite generation systems as an alternative to conventional existing silicon and other panels.

Low-emission hydrogen can be produced from water through electrolysis (when an electric current splits water into hydrogen and oxygen) or thermochemical water splitting, a process which also can be powered by concentrated solar power or waste heat from nuclear power reactors.

Hydrogen can be produced from diverse resources including fossil fuels such as natural gas and biological biomass, but the environmental impact and energy efficiency of hydrogen depends on how it is produced. 

Solar-driven processes use light as an agent for hydrogen production and is a potential alternative for generating industrial-scale hydrogen.

The new study was built on earlier work led by Professor Paul Maggard, now based at the Baylor University Department of Chemistry and Biochemistry in Texas, and previously North Carolina State University. 

The new article in American Chemical Society (ACS) Journal of Physical Chemistry C features input by Flinders University and University of Adelaide experts, including coauthor Professor of Chemistry Greg Metha, who is also involved in exploring the photocatalytic activity of metal clusters on oxide surfaces in reactor technologies, and  Universität Münster in Germany.

The article, ‘Chemical and Valence Electron Structure of the Core and Shell of Sn(II)-Perovskite Oxide Nanoshells’ (2024) by Gowri Krishnan, Shaun O’Donnell, Rachel Broughton, Abdulrahman S Alotabi, Jacob L Jones, DJ Osborn, Thomas D Small, Theresa Block, Aylin Koldemir, Rainer Pöttgen, Gregory F Metha, Paul A Maggard and Gunther G Andersson has been published in The Journal of Physical Chemistry C (ACS Publications) DOI: 10.1021/acs.jpcc.4c04169.

Acknowledgements: The authors acknowledge the Australian National Fabrication Facility (ANFF) and Microscopy Australia, formerly known as the Australian Microscopy and Microanalysis Research Facility (AMMRF), for their facilities and scientific and technical support. The authors acknowledge Flinders Microscopy and Microanalysis and their expertise. Prof Maggard acknowledges partial support of this work by the National Science Foundation (DMR-2004455).

For more information contact: 

Tania Bawden, Media Adviser, Flinders University Tel: +61 08 8201 5768
Mob: +61 (0)434 101 516 Email: tania.bawden@flinders.edu.au Web: news.Flinders.edu.au  

Professor Paul Maggard, Department of Chemistry and Biochemistry, Baylor University, Waco, Texas, USA EmailPaul.Maggard@baylor.edu

Professor Gunther Andersson, Flinders Institute for Nanoscale Science and Technology, College of Science and Engineering, Flinders University, Tel: +61 08 8201 2309 Mob: +61 (0)432 877 105 Emailgunther.andersson@flinders.edu.au

Leave a Reply

featured blogs
Dec 19, 2024
Explore Concurrent Multiprotocol and examine the distinctions between CMP single channel, CMP with concurrent listening, and CMP with BLE Dynamic Multiprotocol....
Dec 20, 2024
Do you think the proton is formed from three quarks? Think again. It may be made from five, two of which are heavier than the proton itself!...

Libby's Lab

Libby's Lab - Scopes Out Littelfuse's SRP1 Solid State Relays

Sponsored by Mouser Electronics and Littelfuse

In this episode of Libby's Lab, Libby and Demo investigate quiet, reliable SRP1 solid state relays from Littelfuse availavble on Mouser.com. These multi-purpose relays give engineers a reliable, high-endurance alternative to mechanical relays that provide silent operation and superior uptime.

Click here for more information about Littelfuse SRP1 High-Endurance Solid-State Relays

featured chalk talk

Machine Learning on the Edge
Sponsored by Mouser Electronics and Infineon
Edge machine learning is a great way to allow embedded devices to run applications that can collect sensor data and locally process that data. In this episode of Chalk Talk, Amelia Dalton and Clark Jarvis from Infineon explore how the IMAGIMOB Studio, ModusToolbox™ Software, and PSoC and AURIX™ microcontrollers can help you develop a custom machine learning on the edge application from scratch. They also investigate how the IMAGIMOB Studio can help you easily develop and deploy AI/ML models and the benefits that the PSoC™ 6 Artificial Intelligence Evaluation Kit will bring to your next machine learning on the edge application design process.
Aug 12, 2024
56,208 views